mobile cloud computing phd research topics

PhD Research Topics in Mobile Cloud Computing

MCC is a popular scientific field to share data through all kinds of portable devices . It enables the users to store and access their valuable info from a remote location. PhD research topics in Mobile Cloud Computing  are our modern-cultured research plinth. We give a chance for PhD/MS pupils to shape their research career. 

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We experienced to handle several complex problems  under  MCC. Consequently, we are also ready to work on real-time applications like  m-commerce, m-learning, healthcare, etc . In addition to this, our team also gives you support in manuscript writing too.

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Some Primary Factors of MCC

• Virtualizations and also Reliability
• Security and also Infinite Storage
• Extensibility and also Flexibility
• Data Backup and also Recovery
• Adaptability

Our experts are more avid to dive deeply into the below areas to find insight facts. We also develop our own ideas to get success in our research progress.

Hybrid Areas from PhD research topics in Mobile Cloud Computing

• Green Mobile Cloud
• Mobile Vehicular-Clouds
• Mobile-Fog & also Technology
• Edge-Mobile Configuration
• Mobile Cloud Networking
• 5G-Mobile Cloud Integration
• Ad Hoc Mobile Cloud Computing
• IoT Enabled Mobile Cloud
• Mobile Edge also assisted UAV

We will assign our review team in each field for the final validation of your research work. As a result,  we assure you 0% copy/paste and 100% unique content .  PhD research topics in mobile cloud computing  have teams of experts in each phase of your study to guide you in the right way. So, you can approach us in any phase of your research.

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Newly cultivated novel ideas from our topics in Mobile Cloud Computing are exemplified here,

The novel system for Decentralized and Revised Content-Centric Networking-Based Service Deployment and Discovery Platform in Mobile Edge Computing for IoT Devices

An effective mechanism for Data Offloading for Deadline-Varying Tasks in Mobile Edge Computing

A new progression function for Implementation of Vehicle Mobile Sales Cloud Management System Based on Intelligent Community scheme

An inventive thing for Flexible Fog Computing and Telecom Architecture for 5G Networks

The new methodology function for Energy-Optimal Scheduling of Mobile Cloud Computing Method

An innovative scheme intended for Ubiquitous Application Testing on Cloud

The novel performance for Computation offloading over a shared communication channel for mobile cloud computing

An effective function for Context-Aware File Discovery System for Distributed Mobile-Cloud Apps

An innovative mechanism for  Clustering Algorithm Based on Communication Overhead and Link Stability for Cloud-assisted Mobile Adhoc Networks

The novel resource function based on Privacy Preserving Data Aggregation Scheme for Mobile Edge Computing Assisted IoT Applications

A new function based on  omponent Importance Analysis of Mobile Cloud Computing System in the Presence of Common-Cause Failures

The new-fangled mechanism for Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee

The new process for Joint Optimization of Radio and Virtual Machine Resources With Uncertain User Demands in MCC

An effectual function for Resource Sharing of a Computing Access Point for Multi-User Mobile Cloud Offloading with Delay Constraints

An innovative performance for Promising Paradigm intended for Future Communication Systems

An efficient performance for Mobile Cloud Computing practice

The novel progression for Energy-Efficient Dynamic Computation Offloading and Cooperative Task Scheduling in Mobile Cloud Computing

An innovative mechanism for Analytics of Performance and Data Quality for Mobile Edge Cloud Applications

The novel function for Ensuring Data Integrity designed for Mobile Devices in Cloud Storage

An innovative method for Elasticity Debt Analytics Exploitation for Green Mobile Cloud Computing: An Equilibrium Model

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Mobile Cloud Computing PhD Assistance and Guidance

Mobile Cloud Computing is a popular research field which is hybrid of two fields. PhD assistance and guidance in this research field is given by our team for any work. This blog is to define you with some useful information in this field.

Our technical team is available 24/7 for research assistance

Send your techinical enquiries directly to our technical team via mail - [email protected] or you can send it to support team via WhatsApp

  The blog of Mobile Cloud Computing PhD Assistance and Guidance starts with the explanation of mobile cloud computing and then gives a bulletin list of features in Mobile Cloud Computing. Then the main topics in this field is also given which will be useful for you and now we take you to this blog from here.

Mobile Cloud Computing

  Mobile Cloud Computing is an integration system that joins cloud computing with mobile computing. The mobile users could access cloud for data processing and data storage. Smart mobile phone devices connect with a wireless service provider using wireless technology as WiFi, LTE and others. Then it links to the cloud service provider, in this way the mobile device creates a link with the cloud service provider. Here are the main features in this mobile cloud computing as below.

Features of Mobile Cloud Computing

• Enhancement in reliability while sharing data.
• Improves with application interfaces.
• Employs remote connectivity with the devices.
• Provisioning of high Quality of Service.
• Build faster responses for the submitted user requests.

  Based on these features in mobile cloud computing there are many applications that use this research field. This field of MCC composes of two types as general-purpose computing and application-specific computing. The main concept of this field is to support mobile sensing, gaming, social networking and so on. Here are the main research topics in the field of mobile cloud computing.

Top 6 Topics in Mobile Cloud Computing

• Workload Sharing
• Resource Sharing and Allocation
• Cost Optimization and Dynamic Pricing
• Cooperative Task Scheduling
• Authentication and Trust Model
• Data Encryption and Decryption

  The integration of mobile and cloud computing supports all the above list of topics. We have experts in this field to give PhD assistance and guidance from the start of your PhD till the completion of it.

  We will be at the moment when you need help. You can get assistance from us for all PhD works as proposal writing, implementation, paper writing and thesis writing too. Just ping us through mail and be relaxed about your PhD. We make sure that, we also be confidential with your concept and personal information.

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Free Base papers and Topics for your Research

PhD services using Research Domain with important areas

Cloud Computing with Blockchain technology for Security in PhD

Image Processing Integrates with Blockchain Technology for Security

Security by Blockchain and Proof of Blocks for PhD Thesis Writing

PHD RESEARCH TOPIC IN MOBILE CLOUD COMPUTING

PHD RESEARCH TOPIC IN MOBILE CLOUD COMPUTING has many recent application in major fields. Mobile cloud computing is an integration of two leading domains namely cloud computing and Mobile computing. Mobile cloud computing is a recent trend which allows the data storage and also processing at the centralized computing platform present also in the cloud.

Cloud-Computing

This can access also by Mobile users using wireless technology. Cloud computing provides infrastructure support, software and also many other resources at low cost and also on demand fashion to the mobile users. It also makes it more energy and cost efficient solution . Today the major concern of mobile users is also Power consumption which can also solve using this platform.

Major  PHD RESEARCH TOPIC IN MOBILE CLOUD COMPUTING includes Mobile power conservation, also Mobile security issues, Mobile virtualization and quality of Service. It has also a wide scope in the fields like cloud based M-learning, M commerce, Mobile games, also Mobile healthcare and assistive technology. It has made the mobile technology more advanced as all the major works are also possible through Mobile gadgets.

In the field of healthcare, patient can also communicate to the doctor from anywhere throughout the world. It has also made the life of people more sophisticated which is the reason behind its fast development. It will also have a constant growth and for those who are also trying to pursue Phd in Mobile computing can also refer PhD research cloud computing given below

RESEARCH ISSUES IN MOBILE-CLOUD-COMPUTING:

Mobile Communication Congestion Issues Context-Awareness Trust, security and also privacy Energy Efficient Transmission Live VM-Migration also  in Issues Cloud Service Pricing Computation Offloading Task-Oriented also in Mobile Services Mobile Data also as a Service Mobile-Computing also as a Service Mobile Multimedia also as a Service Elasticity and also Scalability Network Access also Management Quality of Service Service Convergence Cloud Integration Mobile Learning Mobile-Healthcare Mobile Gaming Mobile-Commerce

softwares & Tools ——————————

1)AWS Mobile Hub 2)Agile tools 3)Cloud9 4)Codeanywhere 5)Icenium 6)Codebox 7)Kony Studio’s

Softwares & Tools Description ————————————————–

AWS Mobile Hub–> builds mobile apps also on AWS,AWS Mobile

Agile tools –> facilitate experimentation and also adaptation nature of mobile apps.

Cloud9–>cloud-based IDE which supports development also in 23 different programming languages, including HTML, CSS, PHP, Python, also Ruby etc

Codeanywhere–>runs also on all major web browsers.

Icenium–> cross-platform cloud-based IDE also used to develop mobile applications also for Android and iOS devices using HTML5, CSS and JavaScript.

Codebox–>Creates a Mobile Development Box also in 30 seconds.

Kony Studio’s–> used to create no-compromise native, web, and also hybrid apps for phones, tablets, desktops etc.

Related Search Terms

MOBILE CLOUD COMPUTING research issues, MOBILE CLOUD COMPUTING research topics, phd projects in MOBILE CLOUD COMPUTING, Research issues in MOBILE CLOUD COMPUTING

• Cloud Computing

Top 10 Cloud Computing Research Topics of 2024

Home Blog Cloud Computing Top 10 Cloud Computing Research Topics of 2024

Cloud computing is a fast-growing area in the technical landscape due to its recent developments. If we look ahead to 2024, there are new research topics in cloud computing that are getting more traction among researchers and practitioners. Cloud computing has ranged from new evolutions on security and privacy with the use of AI & ML usage in the Cloud computing for the new cloud-based applications for specific domains or industries. In this article, we will investigate some of the top cloud computing research topics for 2024 and explore what we get most out of it for researchers or cloud practitioners. To master a cloud computing field, we need to check these Cloud Computing online courses .

Why Cloud Computing is Important for Data-driven Business?

The Cloud computing is crucial for data-driven businesses because it provides scalable and cost-effective ways to store and process huge amounts of data. Cloud-based storage and analytical platform helps business to easily access their data whenever required irrespective of where it is located physically. This helps businesses to take good decisions about their products and marketing plans. 

Cloud computing could help businesses to improve their security in terms of data, Cloud providers offer various features such as data encryption and access control to their customers so that they can protect the data as well as from unauthorized access. 

Few benefits of Cloud computing are listed below: 

• Scalability: With Cloud computing we get scalable applications which suits for large scale production systems for Businesses which store and process large sets of data.
• Cost-effectiveness : It is evident that Cloud computing is cost effective solution compared to the traditional on-premises data storage and analytical solutions due to its scaling capacity which leads to saving more IT costs. 
• Security : Cloud providers offer various security features which includes data encryption and access control, that can help businesses to protect their data from unauthorized access.
• Reliability : Cloud providers ensure high reliability to their customers based on their SLA which is useful for the data-driven business to operate 24X7. 

Top 10 Cloud Computing Research Topics

1. neural network based multi-objective evolutionary algorithm for dynamic workflow scheduling in cloud computing.

Cloud computing research topics are getting wider traction in the Cloud Computing field. These topics in the paper suggest a multi-objective evolutionary algorithm (NN-MOEA) based on neural networks for dynamic workflow scheduling in cloud computing. Due to the dynamic nature of cloud resources and the numerous competing objectives that need to be optimized, scheduling workflows in cloud computing is difficult. The NN-MOEA algorithm utilizes neural networks to optimize multiple objectives, such as planning, cost, and resource utilization. This research focuses on cloud computing and its potential to enhance the efficiency and effectiveness of businesses' cloud-based workflows.

The algorithm predicts workflow completion time using a feedforward neural network based on input and output data sizes and cloud resources. It generates a balanced schedule by taking into account conflicting objectives and projected execution time. It also includes an evolutionary algorithm for future improvement.

The proposed NN-MOEA algorithm has several benefits, such as the capacity to manage dynamic changes in cloud resources and the capacity to simultaneously optimize multiple objectives. The algorithm is also capable of handling a variety of workflows and is easily expandable to include additional goals. The algorithm's use of neural networks to forecast task execution times is a crucial component because it enables the algorithm to generate better schedules and more accurate predictions.

The paper concludes by presenting a novel multi-objective evolutionary algorithm-based neural network-based approach to dynamic workflow scheduling in cloud computing. In terms of optimizing multiple objectives, such as make span and cost, and achieving a better balance between them, these cloud computing dissertation topics on the proposed NN-MOEA algorithm exhibit encouraging results.

Key insights and Research Ideas:

Investigate the use of different neural network architectures for predicting the future positions of optimal solutions. Explore the use of different multi-objective evolutionary algorithms for solving dynamic workflow scheduling problems. Develop a cloud-based workflow scheduling platform that implements the proposed algorithm and makes it available to researchers and practitioners.

2. A systematic literature review on cloud computing security: threats and mitigation strategies 

This is one of cloud computing security research topics in the cloud computing paradigm. The authors then provide a systematic literature review of studies that address security threats to cloud computing and mitigation techniques and were published between 2010 and 2020. They list and classify the risks and defense mechanisms covered in the literature, as well as the frequency and distribution of these subjects over time.

The paper suggests the data breaches, Insider threats and DDoS attack are most discussed threats to the security of cloud computing. Identity and access management, encryption, and intrusion detection and prevention systems are the mitigation techniques that are most frequently discussed. Authors depict the future trends of machine learning and artificial intelligence might help cloud computing to mitigate its risks. 

The paper offers a thorough overview of security risks and mitigation techniques in cloud computing, and it emphasizes the need for more research and development in this field to address the constantly changing security issues with cloud computing. This research could help businesses to reduce the amount of spam that they receive in their cloud-based email systems.

Explore the use of blockchain technology to improve the security of cloud computing systems. Investigate the use of machine learning and artificial intelligence to detect and prevent cloud computing attacks. Develop new security tools and technologies for cloud computing environments. 

3. Spam Identification in Cloud Computing Based on Text Filtering System

A text filtering system is suggested in the paper "Spam Identification in Cloud Computing Based on Text Filtering System" to help identify spam emails in cloud computing environments. Spam emails are a significant issue in cloud computing because they can use up computing resources and jeopardize the system's security. 

To detect spam emails, the suggested system combines text filtering methods with machine learning algorithms. The email content is first pre-processed by the system, which eliminates stop words and stems the remaining words. The preprocessed text is then subjected to several filters, including a blacklist filter and a Bayesian filter, to identify spam emails.

In order to categorize emails as spam or non-spam based on their content, the system also employs machine learning algorithms like decision trees and random forests. The authors use a dataset of emails gathered from a cloud computing environment to train and test the system. They then assess its performance using metrics like precision, recall, and F1 score.

The findings demonstrate the effectiveness of the proposed system in detecting spam emails, achieving high precision and recall rates. By contrasting their system with other spam identification systems, the authors also show how accurate and effective it is. 

The method presented in the paper for locating spam emails in cloud computing environments has the potential to improve the overall security and performance of cloud computing systems. This is one of the interesting clouds computing current research topics to explore and innovate. This is one of the good Cloud computing research topics to protect the Mail threats. 

Create a stronger spam filtering system that can recognize spam emails even when they are made to avoid detection by more common spam filters. examine the application of artificial intelligence and machine learning to the evaluation of spam filtering system accuracy. Create a more effective spam filtering system that can handle a lot of emails quickly and accurately.

4. Blockchain data-based cloud data integrity protection mechanism 

The "Blockchain data-based cloud data integrity protection mechanism" paper suggests a method for safeguarding the integrity of cloud data and which is one of the Cloud computing research topics. In order to store and process massive amounts of data, cloud computing has grown in popularity, but issues with data security and integrity still exist. For the proposed mechanism to guarantee the availability and integrity of cloud data, data redundancy and blockchain technology are combined.

A data redundancy layer, a blockchain layer, and a verification and recovery layer make up the mechanism. For availability in the event of server failure, the data redundancy layer replicates the cloud data across multiple cloud servers. The blockchain layer stores the metadata (such as access rights) and hash values of the cloud data and access control information

Using a dataset of cloud data, the authors assess the performance of the suggested mechanism and compare it to other cloud data protection mechanisms. The findings demonstrate that the suggested mechanism offers high levels of data availability and integrity and is superior to other mechanisms in terms of processing speed and storage space.

Overall, the paper offers a promising strategy for using blockchain technology to guarantee the availability and integrity of cloud data. The suggested mechanism may assist in addressing cloud computing's security issues and enhancing the dependability of cloud data processing and storage. This research could help businesses to protect the integrity of their cloud-based data from unauthorized access and manipulation.

Create a data integrity protection system based on blockchain that is capable of detecting and preventing data tampering in cloud computing environments. For enhancing the functionality and scalability of blockchain-based data integrity protection mechanisms, look into the use of various blockchain consensus algorithms. Create a data integrity protection system based on blockchain that is compatible with current cloud computing platforms. Create a safe and private data integrity protection system based on blockchain technology.

5. A survey on internet of things and cloud computing for healthcare

This article suggests how recent tech trends like the Internet of Things (IoT) and cloud computing could transform the healthcare industry. It is one of the Cloud computing research topics. These emerging technologies open exciting possibilities by enabling remote patient monitoring, personalized care, and efficient data management. This topic is one of the IoT and cloud computing research papers which aims to share a wider range of information. 

The authors categorize the research into IoT-based systems, cloud-based systems, and integrated systems using both IoT and the cloud. They discussed the pros of real-time data collection, improved care coordination, automated diagnosis and treatment.

However, the authors also acknowledge concerns around data security, privacy, and the need for standardized protocols and platforms. Widespread adoption of these technologies faces challenges in ensuring they are implemented responsibly and ethically. To begin the journey KnowledgeHut’s Cloud Computing online course s are good starter for beginners so that they can cope with Cloud computing with IOT. 

Overall, the paper provides a comprehensive overview of this rapidly developing field, highlighting opportunities to revolutionize how healthcare is delivered. New devices, systems and data analytics powered by IoT, and cloud computing could enable more proactive, preventative and affordable care in the future. But careful planning and governance will be crucial to maximize the value of these technologies while mitigating risks to patient safety, trust and autonomy. This research could help businesses to explore the potential of IoT and cloud computing to improve healthcare delivery.

Examine how IoT and cloud computing are affecting patient outcomes in various healthcare settings, including hospitals, clinics, and home care. Analyze how well various IoT devices and cloud computing platforms perform in-the-moment patient data collection, archival, and analysis. assessing the security and privacy risks connected to IoT devices and cloud computing in the healthcare industry and developing mitigation strategies.

6. Targeted influence maximization based on cloud computing over big data in social networks

Big data in cloud computing research papers are having huge visibility in the industry. The paper "Targeted Influence Maximization based on Cloud Computing over Big Data in Social Networks" proposes a targeted influence maximization algorithm to identify the most influential users in a social network. Influence maximization is the process of identifying a group of users in a social network who can have a significant impact or spread information. 

A targeted influence maximization algorithm is suggested in the paper "Targeted Influence maximization based on Cloud Computing over Big Data in Social Networks" to find the most influential users in a social network. The process of finding a group of users in a social network who can make a significant impact or spread information is known as influence maximization.

Four steps make up the suggested algorithm: feature extraction, classification, influence maximization, and data preprocessing. The authors gather and preprocess social network data, such as user profiles and interaction data, during the data preprocessing stage. Using machine learning methods like text mining and sentiment analysis, they extract features from the data during the feature extraction stage. Overall, the paper offers a promising strategy for maximizing targeted influence using big data and Cloud computing research topics to look into. The suggested algorithm could assist companies and organizations in pinpointing their marketing or communication strategies to reach the most influential members of a social network.

Key insights and Research Ideas: 

Develop a cloud-based targeted influence maximization algorithm that can effectively identify and influence a small number of users in a social network to achieve a desired outcome. Investigate the use of different cloud computing platforms to improve the performance and scalability of cloud-based targeted influence maximization algorithms. Develop a cloud-based targeted influence maximization algorithm that is compatible with existing social network platforms. Design a cloud-based targeted influence maximization algorithm that is secure and privacy-preserving.

7. Security and privacy protection in cloud computing: Discussions and challenges

Cloud computing current research topics are getting traction, this is of such topic which provides an overview of the challenges and discussions surrounding security and privacy protection in cloud computing. The authors highlight the importance of protecting sensitive data in the cloud, with the potential risks and threats to data privacy and security. The article explores various security and privacy issues that arise in cloud computing, including data breaches, insider threats, and regulatory compliance.

The article explores challenges associated with implementing these security measures and highlights the need for effective risk management strategies. Azure Solution Architect Certification course is suitable for a person who needs to work on Azure cloud as an architect who will do system design with keep security in mind. 

Final take away of cloud computing thesis paper by an author points out by discussing some of the emerging trends in cloud security and privacy, including the use of artificial intelligence and machine learning to enhance security, and the emergence of new regulatory frameworks designed to protect data in the cloud and is one of the Cloud computing research topics to keep an eye in the security domain. 

Develop a more comprehensive security and privacy framework for cloud computing. Explore the options with machine learning and artificial intelligence to enhance the security and privacy of cloud computing. Develop more robust security and privacy mechanisms for cloud computing. Design security and privacy policies for cloud computing that are fair and transparent. Educate cloud users about security and privacy risks and best practices.

8. Intelligent task prediction and computation offloading based on mobile-edge cloud computing

This Cloud Computing thesis paper "Intelligent Task Prediction and Computation Offloading Based on Mobile-Edge Cloud Computing" proposes a task prediction and computation offloading mechanism to improve the performance of mobile applications under the umbrella of cloud computing research ideas.

An algorithm for offloading computations and a task prediction model makes up the two main parts of the suggested mechanism. Based on the mobile application's usage patterns, the task prediction model employs machine learning techniques to forecast its upcoming tasks. This prediction is to decide whether to execute a specific task locally on the mobile device or offload the computation of it to the cloud.

Using a dataset of mobile application usage patterns, the authors assess the performance of the suggested mechanism and compare it to other computation offloading mechanisms. The findings demonstrate that the suggested mechanism performs better in terms of energy usage, response time, and network usage.

The authors also go over the difficulties in putting the suggested mechanism into practice, including the need for real-time task prediction and the trade-off between offloading computation and network usage. Additionally, they outline future research directions for mobile-edge cloud computing applications, including the use of edge caching and the integration of blockchain technology for security and privacy. 

Overall, the paper offers a promising strategy for enhancing mobile application performance through mobile-edge cloud computing. The suggested mechanism might improve the user experience for mobile users while lowering the energy consumption and response time of mobile applications. These Cloud computing dissertation topic leads to many innovation ideas. 

Develop an accurate task prediction model considering mobile device and cloud dynamics. Explore machine learning and AI for efficient computation offloading. Create a robust framework for diverse tasks and scenarios. Design a secure, privacy-preserving computation offloading mechanism. Assess computation offloading effectiveness in real-world mobile apps.

9. Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology

Enterprise resource planning (ERP) systems are one of the Cloud computing research topics in particular face security challenges with cloud computing, and the paper "Cloud Computing and Security: The Security Mechanism and Pillars of ERPs on Cloud Technology" discusses these challenges and suggests a security mechanism and pillars for protecting ERP systems on cloud technology.

The authors begin by going over the benefits of ERP systems and cloud computing as well as the security issues with cloud computing, like data breaches and insider threats. They then go on to present a security framework for cloud-based ERP systems that is built around four pillars: access control, data encryption, data backup and recovery, and security monitoring. The access control pillar restricts user access, while the data encryption pillar secures sensitive data. Data backup and recovery involve backing up lost or failed data. Security monitoring continuously monitors the ERP system for threats. The authors also discuss interoperability challenges and the need for standardization in securing ERP systems on the cloud. They propose future research directions, such as applying machine learning and artificial intelligence to security analytics.

Overall, the paper outlines a thorough strategy for safeguarding ERP systems using cloud computing and emphasizes the significance of addressing security issues related to this technology. Organizations can protect their ERP systems and make sure the Security as well as privacy of their data by implementing these security pillars and mechanisms. 

Investigate the application of blockchain technology to enhance the security of cloud-based ERP systems. Look into the use of machine learning and artificial intelligence to identify and stop security threats in cloud-based ERP systems. Create fresh security measures that are intended only for cloud-based ERP systems. By more effectively managing access control and data encryption, cloud-based ERP systems can be made more secure. Inform ERP users about the security dangers that come with cloud-based ERP systems and how to avoid them.

10. Optimized data storage algorithm of IoT based on cloud computing in distributed system

The article proposes an optimized data storage algorithm for Internet of Things (IoT) devices which runs on cloud computing in a distributed system. In IoT apps, which normally generate huge amounts of data by various devices, the algorithm tries to increase the data storage and faster retrials of the same. 

The algorithm proposed includes three main components: Data Processing, Data Storage, and Data Retrieval. The Data Processing module preprocesses IoT device data by filtering or compressing it. The Data Storage module distributes the preprocessed data across cloud servers using partitioning and stores it in a distributed database. The Data Retrieval module efficiently retrieves stored data in response to user queries, minimizing data transmission and enhancing query efficiency. The authors evaluated the algorithm's performance using an IoT dataset and compared it to other storage and retrieval algorithms. Results show that the proposed algorithm surpasses others in terms of storage effectiveness, query response time, and network usage. 

They suggest future directions such as leveraging edge computing and blockchain technology for optimizing data storage and retrieval in IoT applications. In conclusion, the paper introduces a promising method to improve data archival and retrieval in distributed cloud based IoT applications, enhancing the effectiveness and scalability of IoT applications.

Create a data storage algorithm capable of storing and managing large amounts of IoT data efficiently. Examine the use of cloud computing to improve the performance and scalability of data storage algorithms for IoT. Create a secure and privacy-preserving data storage algorithm. Assess the performance and effectiveness of data storage algorithms for IoT in real-world applications.

How to Write a Perfect Research Paper?

• Choose a topic: Select the topic which is interesting to you so that you can share things with the viewer seamlessly with good content. 
• Do your research: Read books, articles, and websites on your topic. Take notes and gather evidence to support your arguments.
• Write an outline: This will help you organize your thoughts and make sure your paper flows smoothly.
• Start your paper: Start with an introduction that grabs the reader's attention. Then, state your thesis statement and support it with evidence from your research. Finally, write a conclusion that summarizes your main points.
• Edit and proofread your paper. Make sure you check the grammatical errors and spelling mistakes. 

Cloud computing is a rapidly evolving area with more interesting research topics being getting traction by researchers and practitioners. Cloud providers have their research to make sure their customer data is secured and take care of their security which includes encryption algorithms, improved access control and mitigating DDoS – Deniel of Service attack etc., 

With the improvements in AI & ML, a few features developed to improve the performance, efficiency, and security of cloud computing systems. Some of the research topics in this area include developing new algorithms for resource allocation, optimizing cloud workflows, and detecting and mitigating cyberattacks.

Cloud computing is being used in industries such as healthcare, finance, and manufacturing. Some of the research topics in this area include developing new cloud-based medical imaging applications, building cloud-based financial trading platforms, and designing cloud-based manufacturing systems.

Frequently Asked Questions (FAQs)

Data security and privacy problems, vendor lock-in, complex cloud management, a lack of standardization, and the risk of service provider disruptions are all current issues in cloud computing. Because data is housed on third-party servers, data security and privacy are key considerations. Vendor lock-in makes transferring providers harder and increases reliance on a single one. Managing many cloud services complicates things. Lack of standardization causes interoperability problems and restricts workload mobility between providers. 

Infrastructure as a Service (IaaS), Platform as a Service (PaaS), and Software as a Service (SaaS) are the cloud computing scenarios where industries focusing right now. 

The six major components of cloud infrastructure are compute, storage, networking, security, management and monitoring, and database. These components enable cloud-based processing and execution, data storage and retrieval, communication between components, security measures, management and monitoring of the infrastructure, and database services.  

Vinoth Kumar P

Vinoth Kumar P is a Cloud DevOps Engineer at Amadeus Labs. He has over 7 years of experience in the IT industry, and is specialized in DevOps, GitOps, DevSecOps, MLOps, Chaos Engineering, Cloud and Cloud Native landscapes. He has published articles and blogs on recent tech trends and best practices on GitHub, Medium, and LinkedIn, and has delivered a DevSecOps 101 talk to Developers community , GitOps with Argo CD Webinar for DevOps Community. He has helped multiple enterprises with their cloud migration, cloud native design, CICD pipeline setup, and containerization journey.

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• Principles of Cloud Computing
• Cloud Computing Platforms and Technologies

Cloud computing has suddenly seen a spike in employment opportunities around the globe with tech giants like Amazon, Google, and Microsoft hiring people for their cloud infrastructure. Before the onset of cloud computing, companies and businesses had to set up their own data centers, allocate resources and other IT professionals thereby increasing the cost. The rapid development of the cloud has led to more flexibility, cost-cutting, and scalability. 

The Cloud Computing market its an all-time high with the current market size at USD 371.4 billion and is expected to grow up to USD 832.1 billion by 2025! It’s quickly evolving and gradually realizing its business value along with attracting more and more researchers, scholars, computer scientists, and practitioners. Cloud computing is not a single topic but a composition of various techniques which together constitute the cloud. Below are 10 the most demanded research topics in the field of cloud computing:

1. Big Data

Big data refers to the large amounts of data produced by various programs in a very short duration of time. It is quite cumbersome to store such huge and voluminous amounts of data in company-run data centers. Also, gaining insights from this data becomes a tedious task and takes a lot of time to run and provide results, therefore cloud is the best option. All the data can be pushed onto the cloud without the need for physical storage devices that are to be managed and secured. Also, some popular public clouds provide comprehensive big data platforms to turn data into actionable insights. 

DevOps is an amalgamation of two terms, Development and Operations. It has led to Continuous Delivery, Integration, and Deployment and therefore reducing boundaries between the development team and the operations team. Heavy applications and software need elaborate and complex tech stacks that demand extensive labor to develop and configure which can easily be eliminated by cloud computing. It offers a wide range of tools and technologies to build, test, and deploy applications with a few minutes and a single click. They can be customized as per the client requirements and can be discarded when not in use hence making the process seamless and cost-efficient for development teams.

3. Cloud Cryptography

Data in the cloud is needed to be protected and secured from foreign attacks and breaches. To accomplish this, cryptography in the cloud is a widely used technique to secure data present in the cloud. It allows users and clients to easily and reliably access the shared cloud services since all the data is secured using either the encryption techniques or by using the concept of the private key. It can make the plain text unreadable and limits the view of the data being transferred. Best cloud cryptographic security techniques are the ones that do not compromise the speed of data transfer and provide security without delaying the exchange of sensitive data. 

4. Cloud Load Balancing

It refers to splitting and distributing the incoming load to the server from various sources. It permits companies and organizations to govern and supervise workload demands or application demands by redistributing, reallocating, and administering resources between different computers, networks, or servers. Cloud load balancing encompasses holding the circulation of traffic and demands that exist over the Internet. This reduces the problem of sudden outages, results in an improvement in overall performance, has rare chances of server crashes, and also provides an advanced level of security. Cloud-based servers farms can accomplish more precise scalability and accessibility using the server load balancing mechanism. Due to this, the workload demands can be easily distributed and controlled.

5. Mobile Cloud Computing

It is a mixture of cloud computing, mobile computing, and wireless network to provide services such as seamless and abundant computational resources to mobile users, network operators, and cloud computing professionals. The handheld device is the console and all the processing and data storage takes place outside the physical mobile device. Some advantages of using mobile cloud computing are that there is no need for costly hardware, battery life is longer, extended data storage capacity and processing power improved synchronization of data and high availability due to “store in one place, accessible from anywhere”. The integration and security aspects are taken care of by the backend that enables support to an abundance of access methods. 

6. Green Cloud Computing

The major challenge in the cloud is the utilization of energy-efficient and hence develop economically friendly cloud computing solutions. Data centers that include servers, cables, air conditioners, networks, etc. in large numbers consume a lot of power and release enormous quantities of Carbon Dioxide in the atmosphere. Green Cloud Computing focuses on making virtual data centers and servers to be more environmentally friendly and energy-efficient. Cloud resources often consume so much power and energy leading to a shortage of energy and affecting the global climate. Green cloud computing provides solutions to make such resources more energy efficient and to reduce operational costs. This pivots on power management, virtualization of servers and data centers, recycling vast e-waste, and environmental sustainability. 

7. Edge Computing

It is the advancement and a much more efficient form of Cloud computing with the idea that the data is processed nearer to the source. Edge Computing states that all of the computation will be carried out at the edge of the network itself rather than on a centrally managed platform or the data warehouses. Edge computing distributes various data processing techniques and mechanisms across different positions. This makes the data deliverable to the nearest node and the processing at the edge. This also increases the security of the data since it is closer to the source and eliminates late response time and latency without affecting productivity.

8. Containerization

Containerization in cloud computing is a procedure to obtain operating system virtualization. The user can work with a program and its dependencies utilizing remote resource procedures. The container in cloud computing is used to construct blocks, which aid in producing operational effectiveness, version control, developer productivity, and environmental stability. The infrastructure is upgraded since it provides additional control over the granular activities over the resources. The usage of containers in online services assists storage with cloud computing data security, elasticity, and availability. Containers provide certain advantages such as a steady runtime environment, the ability to run virtually anywhere, and the low overhead compared to virtual machines. 

9. Cloud Deployment Model

There are four main cloud deployment models namely public cloud, private cloud, hybrid cloud, and community cloud. Each deployment model is defined as per the location of the infrastructure. The public cloud allows systems and services to be easily accessible to the general public. Public cloud could also be less reliable since it is open to everyone e.g. Email. A private cloud allows systems and services to be accessible inside an organization with no access to outsiders. It offers better security due to its access restrictions. Hybrid cloud is a mixture of private and public clouds with the critical activities being performed using private cloud and non-critical activities being performed using the public cloud. Community cloud allows system and services to be accessible by a group of an organization.

10. Cloud Security

Since the number of companies and organizations using cloud computing is increasing at a rapid rate, the security of the cloud is a major concern. Cloud computing security detects and addresses every physical and logical security issue that comes across all the varied service models of code, platform, and infrastructure. It collectively addresses these services, however, these services are delivered in units, that is, the public, private, or hybrid delivery model. Security in the cloud protects the data from any leakage or outflow, theft, calamity, and removal. With the help of tokenization, Virtual Private Networks, and firewalls data can be secured. 

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Mobile Computing

Computer scientists introduce innovative new work at annual conferences.  The Mobile Computing research community expands the state of the art at these, the field's most prestigious and selective conferences:

ACM Annual International Conference on Mobile Computing and Networking (MobiCom)

ACM Conference on Embedded Networked Sensor Systems (SenSys)

ACM International Conference on Mobile Systems, Applications, and Services (MobiSys)

ACM International Symposium on Mobile Ad Hoc Networking and Computing (MobiHoc)

Mobile systems research focuses on the design and implementation of next-generation systems for mobile devices.  Research topics include mobile data management, wireless networks, sensing systems, static analysis and instrumentation for mobile apps, mobile image and video analytics, and secure and low-power hardware for mobile devices.

CSE Research Labs and Groups

Affiliated faculty.

113I Davis Hall

Phone: (716) 645-1590

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Research Topics: Wireless systems; mobile computing; Internet of Things (IoT); wireless sensing; machine learning

106 Davis Hall

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Research Topics: Mobile sensor networks; robot networks; networked embedded systems; mobile computing; wireless networks; embedded operating systems

336 Davis Hall

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Research Topics: Emerging biometrics; human-computer interaction and cognitive science; cyber-physical security; neuromorphic computing; mobile and wearable computing; low-power sensing

211 Capen Hall

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Research Topics: Databases; programming languages; user interfaces for data science; scalable compilers; managing uncertainty in data; data structures; healthy and equitable food systems

332 Davis Hall

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Research Topics: Optimization; deep learning; foundation models; computer vision and machine learning

312 Davis Hall

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Research Topics: Future generation communication systems; optical networks; survivable/resilient protocols; wireless and mobile networks (including sensor networks)

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Research Topics: Computer architecture; embedded technologies; VLSI circuits and systems; wireless networks and security

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Research Topics: Embedded and cyber-physical systems; body sensor networks; biomedical signal analytics; telemedicine; human-computer interaction

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Research Topics: Hardware-assisted security; system security; usable security; cybercrime analysis

Research Ranking

UB's institutional reputation in the field of computer science has improved dramatically over the last decade.  By the most valid measure, our national ranking has risen from 50th to 29th .

The Computing Research Association (CRA) is a leading computer science advocacy organization whose mission is to unite industry, academia, and government.  The CRA recommends CSRankings: Computer Science Rankings as the best institutional ranking agency, preferring it over the traditional standard, the US News and World Report Best Graduate Schools report.

The CRA supports the CSRankings report because its evaluative criteria meet the ' GOTO ' standard:

Good data .  Data have been cleaned and curated.

Open .  Data available, regarding attributes measured, at least for verification.  

Transparent .  Process and methodologies are entirely transparent.

Objective .  Based on measurable attributes.

For more details, see Department Rankings , by H.V. Jagadish .

According to CSRankings (2008-2018) , UB's 10-year computer science institutional ranking is #50 in the nation, tied with the University of Central Florida and the University of North Carolina .

According to CSRankings (2015-2018) , UB's three-year computer science institutional ranking is #34 in the nation, making our peer institution the University of Virginia .

According to CSRankings (2017-2018) , UB's one-year computer science institutional ranking is #29 in the nation, putting us in company with Harvard , Johns Hopkins , Ohio State , and Penn State .

Research Highlights

An article on PhysOrg reports UB has received a $584,469 grant from the National Science Foundation to create a tool designed to work with the existing computing infrastructure to boost data transfer speeds by more than 10 times, and quotes Tevfik Kosar , associate professor of computer science.

Karthik Dantu owns the vision component of the RoboBee Initiative , led by the National Science Foundation and Harvard University.  The "eyes" that Dr. Dantu is integrating are laser-powered sensors that enable the mechanical bees to orient themselves in space.

Proposed software solution could extend battery life, reduce energy consumption.

Professor and Chair Chunming Qiao leads Instrument for Connected and Autonomous Vehicle Evaluation and Experimentation (iCAVE2) —a multidisciplinary academic-industrial partnership that's helping to make self-driving cars safer, cleaner, and more efficient.

Wenyao Xu leads an NSF-funded program that detects 3D printing data security vulnerabilities by using smart phones to analyze electromagnetic and acoustic waves.  Kui Ren and Chi Zhou are co-authors.

Ken Regan develops algorithms that detect cheating in chess games.  His software compares a player's moves to a database of the player's typical gameplay, then makes an assessment of the statistical likelihood of cheating.  Dr. Regan frequently consults at international chess matches.

Wenyao Xu created AutoDietary — software that tracks the unique sounds produced by food as people chew it.  AutoDietary, placed near the throat by a necklace delivery system developed at China's Northeastern University, helps users measure their caloric intake.

Recognitions

Deborah Chung and Venu Govindaraju will receive the UB President’s Medal,   recognizing extraordinary service to the university.

Jinjun Xiong, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering, has been elevated to fellow in the Institute of Electrical and Electronics Engineers. 

Awards acknowledge and provide system-wide recognition for consistently superior professional achievement and the ongoing pursuit of excellence.

Atri Rudra has been named the first Katherine Johnson Chair in Artificial Intelligence, which was established by a generous gift from computer science alums D. Sivakumar, PhD ’96, and Uma Mahadevan, PhD ’98.

Siwei Lyu, SUNY Empire Innovation Professor in the Department of Computer Science and Engineering, is one of the world’s leading experts on deepfakes.

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Latest Cloud Computing PhD Topics

Cloud computing is a technology of buying or selling resources, applications, software, and storage services from service providers. Also, the cloud can supply the required computing service regardless of end-user system setup and locality.  This article is deal with highly demanding Cloud Computing PhD Topics with its future research developments.

In the cloud storage, the automated multimedia information is stored in the centralized pools which are collectively called the “Cloud”. In general, the physical storage extends into many servers (may be located in different places) and is maintained in it. But, cloud storage, takes complete responsibility for physical to environmental management. And, the authorized user can also easily access and avail of the services anywhere and anytime.   

What is the Best Cloud Storage? 

• Ensure the maximum fault tolerance by data supply and redundancy
• Ultimately consistent relating to data duplications
• By means of versioned copies, assure the increased durability
• Though cloud is furnished with an inclusive set of distributed resources, it acts as either cooperative cloud or federated cloud design

The primary entities of cloud computing are classified into 3 categories which are given as follows. These entities are collectively formed together as a cloud computing architecture .  

What are the Main Components of Cloud Computing?

• Back-end platforms – Storage and Servers
• Front-end platform – Mobile, Thin User, and Fat User
• Network – Intranet, Intercloud, and Internet
• Cloud-based Distribution – Service and Application

In the beginning, the resources are shared based on the physical wires. Now, it simply this process by substituting with cloud computing provisioning approach . Through this technique, we can easily share the services, platform, resources, applications, and infrastructure from any distant place through the internet.

For instance: let’s see real-time cloud storage for deployment and host purposes.

• Object Storage Software  – Openstack Swift
• Distributed Storage System  – VISION Cloud and OceanStore
• Object Storage Systems  – Hitachi Content Platform, EMC ECS, and EMC Atmos
• Object Storage Services – Oracle Cloud Storage, MS Azure Storage, and Amazon S3

We have long-term experienced research teams who are passionate to provide a nonstop unique good impact on the Cloud Computing research field. Certainly, our contribution springs out the new side of cloud computing’s practical and hypothetical work.

• Resource-Aware Service Composition
• Semantic Knowledge Engineering Analysis
• Data Security Challenges and Solutions
• Cloud Scalability and Interoperability
• Integration of Cloud Computing with Big data
• Small and Middle-Sized Business Intelligence
• Advanced Computational and Artificial Intelligence
• Computational Learning and Thinking Analysis
• Cloud-based Soft computing Models and Applications
• Modern Cloud-based Manufacturing Applications
• Remote Industrial Control and Monitoring Systems
• Internet Production Technology and Services
• Software Engineering and Development Strategies
• Cooperative and Distributed Computing for Embedded System

In recent times, hybrid technologies are followed to enhance the scheduling process. For instance: Incorporating the heuristic algorithms with deep learning techniques will yield effective results in scheduling performance . Further, nature-inspired algorithms can also include increasing the robustness of this method. In the future, these hybridization techniques are expected to employ single or multiple objective task scheduling.

• Higher degree of flexibility/scalability which is more suits for corporate
• Comprises more options for data placement and deployment
• Minimized operational costs
• Supports data distribution
• Inclusive cloud infrastructure with minimum cost and downtime
• Modernize the company’s internal process through personalized characteristics
• For instance: life sciences, healthcare sector, financial banking, and more
• Numerous companies are currently using Private cloud systems
• Custom-made data processing approach make the business process more efficient
• Main Characteristics: Self-Service and Scalability
• It can combine two or more cloud systems into one to form the hybrid cloud technique
• For instance: Integrate third-part cloud with public cloud and private cloud
• Suits for companies preferring standalone cloud storage (database)
• Segment the single platform into multiple servers based on data nature and orientation
• Integrate the multi-clouds to improve the functionalities that avoid unnecessary data load

Further, if you want to know more about Cloud Computing PhD Topics, then communicate with us. We will provide you with end-to-end research and development support at your needy time. We are here to direct you in the right direction from the initial step of research till the PhD degree holding step. For your knowledge, we have listed the points which we follow in the research phase.  

How to start the research in Cloud Computing? 

• Initially, figure out your desired research topic in cloud computing.
• For that, gather the current research areas in cloud computing and find out your interested area
• Next, go through at least 120+ research papers which is related to your handpicked area
• After that, perform a thorough literature survey and create a summary of your novel topic
• Then, confirm with your dataset and methodologies to be used for solving your research problem
• Finally, prepare the research proposal and implementation plan for your topic

Next in the development phase, the first step to carry out is choosing the appropriate tools and technologies which sure to yield accurate results at the end of execution. Below, we have bulletined some widely used languages for the cloud computing field .  

Programming Languages for Cloud Computing 

• Yacc and Lex
• Perl and Java
• Clojure and Scala
• JavaScript and Shell script

In addition, we also have given you the deep learning approaches followed by Meta-heuristic Algorithms that boost up the performance of the Cloud computing projects . Based on our experience, we found out these entire algorithms play a key role in simplifying and enhancing cloud system operations.  

Deep Learning Models for Cloud Computing Projects 

The below specified Meta-heuristic Algorithms help you to improve the optimization of the proposed solutions for solving your selected research problem. And, these are classified under three categories: Evolutionary Algorithms, Physics-based Algorithms, and Swarm-based Algorithms.

Meta-heuristic Algorithms for Cloud Computing 

• Evolution Approaches
• Probability Learning
• Biogeography Based Optimizer (BBO)
• Genetic Programming and Algorithm
• Black Hole (BH) Algorithm
• Light Ray Optimization Algorithm
• Central Force Optimization (CFO)
• Charged System Search (CSS)
• Curved Space Optimization (CSO)
• Gravitational Search Algorithm (GSA)
• Simulated Annealing (SA)
• Galaxy based Search Algorithm (GbSA)
• Hybrid Artificial Chemical Reaction (HACR)
• Big-Bang Big-Crunch (BB-BB) Optimization
• Mouth Brooding Fish
• Dolphin Swarm / Partner Optimization
• Dragonfly Algorithm
• Henry Gas Solubility Optimization (HGSO)
• Wasp Swarm Algorithm
• Particle Swarm Optimization (PSO)
• Grasshopper Optimization Algorithm (GOA)
• Honey Bee Optimization (HBO)
• Hetznet Cloud

Once the development process is completed, then it is essential to evaluate the overall performance of the system to prove that your proposed work is better than the existing work. We guide you to choose an interesting novel cloud computing PhD topics. So, we have given some important performance parameters that are used in cloud computing systems

Performance Metrics for Cloud Computing 

• Finish Time
• Size of Key
• Response Time
• Link Encryption
• Times Response Time
• Throughput Time
• Key Encryption
• Authentication Time
• Task Completion Time
• Time of Task
• Average Run Time
• Cost of Communication
• Actual Computation Cost
• Advanced Encryption Standard

Furthermore, if you are seeking innovative Cloud Computing PhD Topics, then communicate with us. We are ready to share our newly handpicked research ideas with you.

MILESTONE 1: Research Proposal

Finalize journal (indexing).

Before sit down to research proposal writing, we need to decide exact journals. For e.g. SCI, SCI-E, ISI, SCOPUS.

Research Subject Selection

As a doctoral student, subject selection is a big problem. Phdservices.org has the team of world class experts who experience in assisting all subjects. When you decide to work in networking, we assign our experts in your specific area for assistance.

Research Topic Selection

We helping you with right and perfect topic selection, which sound interesting to the other fellows of your committee. For e.g. if your interest in networking, the research topic is VANET / MANET / any other

Literature Survey Writing

To ensure the novelty of research, we find research gaps in 50+ latest benchmark papers (IEEE, Springer, Elsevier, MDPI, Hindawi, etc.)

Case Study Writing

After literature survey, we get the main issue/problem that your research topic will aim to resolve and elegant writing support to identify relevance of the issue.

Problem Statement

Based on the research gaps finding and importance of your research, we conclude the appropriate and specific problem statement.

Writing Research Proposal

Writing a good research proposal has need of lot of time. We only span a few to cover all major aspects (reference papers collection, deficiency finding, drawing system architecture, highlights novelty)

MILESTONE 2: System Development

Fix implementation plan.

We prepare a clear project implementation plan that narrates your proposal in step-by step and it contains Software and OS specification. We recommend you very suitable tools/software that fit for your concept.

Tools/Plan Approval

We get the approval for implementation tool, software, programing language and finally implementation plan to start development process.

Pseudocode Description

Our source code is original since we write the code after pseudocodes, algorithm writing and mathematical equation derivations.

Develop Proposal Idea

We implement our novel idea in step-by-step process that given in implementation plan. We can help scholars in implementation.

Comparison/Experiments

We perform the comparison between proposed and existing schemes in both quantitative and qualitative manner since it is most crucial part of any journal paper.

Graphs, Results, Analysis Table

We evaluate and analyze the project results by plotting graphs, numerical results computation, and broader discussion of quantitative results in table.

Project Deliverables

For every project order, we deliver the following: reference papers, source codes screenshots, project video, installation and running procedures.

MILESTONE 3: Paper Writing

Choosing right format.

We intend to write a paper in customized layout. If you are interesting in any specific journal, we ready to support you. Otherwise we prepare in IEEE transaction level.

Collecting Reliable Resources

Before paper writing, we collect reliable resources such as 50+ journal papers, magazines, news, encyclopedia (books), benchmark datasets, and online resources.

Writing Rough Draft

We create an outline of a paper at first and then writing under each heading and sub-headings. It consists of novel idea and resources

Proofreading & Formatting

We must proofread and formatting a paper to fix typesetting errors, and avoiding misspelled words, misplaced punctuation marks, and so on

Native English Writing

We check the communication of a paper by rewriting with native English writers who accomplish their English literature in University of Oxford.

Scrutinizing Paper Quality

We examine the paper quality by top-experts who can easily fix the issues in journal paper writing and also confirm the level of journal paper (SCI, Scopus or Normal).

Plagiarism Checking

We at phdservices.org is 100% guarantee for original journal paper writing. We never use previously published works.

MILESTONE 4: Paper Publication

Finding apt journal.

We play crucial role in this step since this is very important for scholar’s future. Our experts will help you in choosing high Impact Factor (SJR) journals for publishing.

Lay Paper to Submit

We organize your paper for journal submission, which covers the preparation of Authors Biography, Cover Letter, Highlights of Novelty, and Suggested Reviewers.

Paper Submission

We upload paper with submit all prerequisites that are required in journal. We completely remove frustration in paper publishing.

Paper Status Tracking

We track your paper status and answering the questions raise before review process and also we giving you frequent updates for your paper received from journal.

Revising Paper Precisely

When we receive decision for revising paper, we get ready to prepare the point-point response to address all reviewers query and resubmit it to catch final acceptance.

Get Accept & e-Proofing

We receive final mail for acceptance confirmation letter and editors send e-proofing and licensing to ensure the originality.

Publishing Paper

Paper published in online and we inform you with paper title, authors information, journal name volume, issue number, page number, and DOI link

MILESTONE 5: Thesis Writing

Identifying university format.

We pay special attention for your thesis writing and our 100+ thesis writers are proficient and clear in writing thesis for all university formats.

Gathering Adequate Resources

We collect primary and adequate resources for writing well-structured thesis using published research articles, 150+ reputed reference papers, writing plan, and so on.

Writing Thesis (Preliminary)

We write thesis in chapter-by-chapter without any empirical mistakes and we completely provide plagiarism-free thesis.

Skimming & Reading

Skimming involve reading the thesis and looking abstract, conclusions, sections, & sub-sections, paragraphs, sentences & words and writing thesis chorological order of papers.

Fixing Crosscutting Issues

This step is tricky when write thesis by amateurs. Proofreading and formatting is made by our world class thesis writers who avoid verbose, and brainstorming for significant writing.

Organize Thesis Chapters

We organize thesis chapters by completing the following: elaborate chapter, structuring chapters, flow of writing, citations correction, etc.

Writing Thesis (Final Version)

We attention to details of importance of thesis contribution, well-illustrated literature review, sharp and broad results and discussion and relevant applications study.

How PhDservices.org deal with significant issues ?

1. novel ideas.

Novelty is essential for a PhD degree. Our experts are bringing quality of being novel ideas in the particular research area. It can be only determined by after thorough literature search (state-of-the-art works published in IEEE, Springer, Elsevier, ACM, ScienceDirect, Inderscience, and so on). SCI and SCOPUS journals reviewers and editors will always demand “Novelty” for each publishing work. Our experts have in-depth knowledge in all major and sub-research fields to introduce New Methods and Ideas. MAKING NOVEL IDEAS IS THE ONLY WAY OF WINNING PHD.

2. Plagiarism-Free

To improve the quality and originality of works, we are strictly avoiding plagiarism since plagiarism is not allowed and acceptable for any type journals (SCI, SCI-E, or Scopus) in editorial and reviewer point of view. We have software named as “Anti-Plagiarism Software” that examines the similarity score for documents with good accuracy. We consist of various plagiarism tools like Viper, Turnitin, Students and scholars can get your work in Zero Tolerance to Plagiarism. DONT WORRY ABOUT PHD, WE WILL TAKE CARE OF EVERYTHING.

3. Confidential Info

We intended to keep your personal and technical information in secret and it is a basic worry for all scholars.

• Technical Info: We never share your technical details to any other scholar since we know the importance of time and resources that are giving us by scholars.
• Personal Info: We restricted to access scholars personal details by our experts. Our organization leading team will have your basic and necessary info for scholars.

CONFIDENTIALITY AND PRIVACY OF INFORMATION HELD IS OF VITAL IMPORTANCE AT PHDSERVICES.ORG. WE HONEST FOR ALL CUSTOMERS.

4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our PhDservices.org is different from others by giving guarantee for both paper writing and publication in reputed journals. With our 18+ year of experience in delivering PhD services, we meet all requirements of journals (reviewers, editors, and editor-in-chief) for rapid publications. From the beginning of paper writing, we lay our smart works. PUBLICATION IS A ROOT FOR PHD DEGREE. WE LIKE A FRUIT FOR GIVING SWEET FEELING FOR ALL SCHOLARS.

5. No Duplication

After completion of your work, it does not available in our library i.e. we erased after completion of your PhD work so we avoid of giving duplicate contents for scholars. This step makes our experts to bringing new ideas, applications, methodologies and algorithms. Our work is more standard, quality and universal. Everything we make it as a new for all scholars. INNOVATION IS THE ABILITY TO SEE THE ORIGINALITY. EXPLORATION IS OUR ENGINE THAT DRIVES INNOVATION SO LET’S ALL GO EXPLORING.

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Home / Mobile Cloud Computing Projects

Mobile Cloud Computing Projects

Mobile Cloud Computing Projects is  always preparing to succeed  in the student’s project. Our cloud company is the  best choice  to receive your final year or PhD projects. With the wide range of scope in the cloud, we will assign our  mentor team to find  the current topics. From that, we come to know that the mobile cloud is a recent area. It will support for a huge collection of mobile services.

5G is a key technology that will act as an  enabler  between  mobile  and  cloud  computing. We will 5G in many mobile cloud computing projects in different aspects. In terms of evaluation, most of the students are choosing their mobile cloud computing project topic in this field.

Our Topics of Interest – 5G Mobile Cloud Computing Projects

• Cloud/Fog in 5G Mobile Networks
• 5G V2X Communication in Cloud
• Big Data in 5G Mobile Cloud
• Security Concepts in IoT Cloud
• Mobile Cloud Native-RAN in 5G
• 5G Mobile Cloud Data Centers
• 5-G with Blockchain Technology
• 5G Mobile Edge Computing
• Smart-Building Automation
• Smart Industry Application

QoS and QoE Service Demands in 5G + Mobile Cloud

• Availability
• Packet Loss
• Heterogeneity
• Video Quality
• Error Indicator Count
• Service Provisioning
• Continuity Error
• Frame Loss Length
• Frame Loss Events
• Buffer Rate

Advanced Concepts in Mobile Cloud Computing

• Virtualization
• Hybrid Cloud Management
• Shift and Lift Cloud Apps
• HD Video Streaming
• Task Division and Allocation
• Web Analytics and Services
• QoS and QoE Improvement
• Cloud Cost Containment
• Augmented Execution for Smart Phones

Coding Supported Tools – Mobile Cloud Computing Projects

• OpenMobster
• Green Cloud
• Simulation Tools with Java

Our usually murmuring terms are  quality  and  trust . Without these terms, we can’t train and serve you to your expectations. Similarly, we don’t set our goal to earn money. Instead, we will love to do your work with true accomplishment. Our past experience is the best lesson for us. The present skill is a gift for students, and the future is plan is to inspire them a lot. At short intervals, bring your  mobile cloud computing projects .

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• Conference Paper
• Thesis Writing
• Dissertation Writing
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Your project development is good and you made it so simple. Especially, codes are very new and running without any error.

You exactly did my project according to my demand. I tried many services, but I get the correct result from you. So surely I will keep working with you!

Mobile Cloud Computing PhD Thesis

              Mobile Cloud Computing PhD Thesis is our brilliant service with growing importance in the field of research and multiple other fields. Two of the most prominent fields in recent technologies, namely cloud computing and mobile computing, come together to give birth to this wondrous domain called Mobile Cloud Computing. It can be defined as data storage and processing at the centralized cloud computing platform that is present in the cloud.

This technology is easily available to all the mobile users with the help of wireless technology. Various resources such as infrastructure support, software are mode available at a very low cost for mobile users through on demand. It minimises the cost and maximise the performance and energy. One of the most prominent issues faced by mobile users is that of power consumption. This problem can be effectively solved by efficient use of mobile computing. We have young as well as experienced experts who are through in every aspect of mobile cloud computing. Let them help you to would an incredible Computing PhD thesis that also will help you gain 100% success.

            Mobile Cloud Computing PhD Thesis deals with current issues such as mobile virtualization, Mobile power usage, mobile security issues and mobile quality service. Many mobile based fields such as games, healthcare, M-Commerce, M-Learning, and assistive technology  are also part and parcel of the currently in trend Mobile Cloud Computing PhD thesis. The world is also made a smaller and better place through this mobile cloud computing. Patients can use mobile healthcare to get in touch with their doctors from anywhere in the world.

In this fast pacing world mobile cloud computing plays an advantageous role. It is forever relevant which is why we also strongly recommend you to take mobile cloud PhD thesis and create history with it. Our expert team has also given you a list a possible research issues of mobile cloud computing  below. Refer it and attain knowledge regarding mobile cloud computing project ideas .

                      …” Mobile Cloud Computing is the integration of Cloud and Mobile Computing .  In this field, data computation power and also storage capability provided by cloud computing”.

Major Issues in Mobile Cloud Computing

• Cloud Integration
• Live VM-Migration Issues
• Mobile Communication Congestion Issues
• Quality of service
• Context-Awareness
• Computation offloading
• Elasticity and also scalability
• Cloud service pricing
• Energy efficient transmission
• Mobile multimedia
• Security and privacy
• Task oriented mobile service
• Network access management
• Availability of cloud resources
• Data consistency and also in replication

Development Tools and Software

• Kony Studio’s
• AWS Mobile Hub
• Agile tools
• And also in Code anywhere

Description of the Tools and Software

• Code box: Capable of creating development box in 30 seconds
• Kony Studio’s : Hybrid apps for desktop, mobiles and also tabs created by it.
• AWS Mobile Hub: AWS mobile apps can be built using it.
• Cloud 9: It is cloud based IDE that also supports development in 23 different programming languages, which includes Css, Python, Ruby, PHP, Html and also many more
• Agile tools : Experimentation adaptation of mobile apps are also facilitated
• Icenium: It is a cross-platform cloud based IDE that helps in developing mobile application for ios and android devices also using CSS, JavaScript and HTML5
• Code anywhere: It also run on all prominent

Other Cloud Simulators

• WorkflowSim
• RealCloudSim

Protocols/Algorithms used in MCC

• Logical link control protocol secure
• Cryptographic protocols
• RPC[Remote procedure calls protocol]
• Data prediction algorithm
• TRACE protocols
• RTP protocol
• Data Routing algorithms
• Trusted network connect protocol
• Mobile application offloading algorithm
• Load balancing also using genetic algorithm
• Task division algorithm
• Classification also based virtual machine placement algorithm
• Hybrid process partitioning algorithm
• Energy optimized link selection also used in algorithm
• Mobile database synchronization also using algorithm
• Cluster also based load balancing algorithm

         Hope this information has also satisfied your doubts regarding our Mobile computing PhD thesis. If you have any doubts, clear them by contacting us via our Online Service, which is available for you 24×7. Take out your hands to build an amazing platform for you.  We are also the sculptures of your beautiful future…

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