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.

Latest Interesting Cloud Computing PhD Topics

Latest Cloud Computing PhD Topics

  • Integrating Hybrid Cloud Systems
    • 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
  • Industry-specific Cloud Systems
    • 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
  • Migration to private cloud
    • 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
  • Hybrid Cloud
    • 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
  • Multi-Cloud Strategies
    • 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 

  • Groovy
  • Node.js
  • C and C++
  • Go, Python
  • Ruby
  • 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 

  • YOLO
  • GoogLeNet
  • DeepFace
  • CNN
  • DetectNet
  • VGG16
  • FaceNet
  • LSTM
  • MobileNet
  • DeepSense
  • AlexNet

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 

  • Evolutionary Algorithms
    • Evolution Approaches
    • Probability Learning
    • Biogeography Based Optimizer (BBO)
    • Genetic Programming and Algorithm
  • Physics-base Algorithms
    • 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
  • Swarm-based Algorithms
    • 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
  • Tasks Cost
  • 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.



How 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.


4. Publication

Most of the PhD consultancy services will end their services in Paper Writing, but our 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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