Top Cloud Computing Thesis Topics

Top Cloud Computing Thesis Topics that are progressing continuously are listed below. Drop us a message about all your research queries our help team will give you immediate support. We recommend few foremost clouds computing thesis topics which contains the capability to provide an enormous opportunity for investigation and are considered as significant:

1. Cloud Security Mechanisms: In cloud platforms, improve data protection through examining novel security protocols or encryption techniques. Generally, the process of exploring assaults such as insider attacks, violation of data, or DDoS assaults are encompassed.
2. Edge Computing and Cloud Integration: As a means to decrease delay, improve effectiveness of IoT devices, and enhance data processing speed, we intend to investigate in what manner edge computing is capable of incorporating with cloud computing.
3. AI and Machine Learning in the Cloud: In cloud platforms, our team plans to explore the deployment and improvement of machine learning and AI methods. It is significant to address limitations such as data confidentiality, adaptability, and resource allocation.
4. Energy-Efficient Cloud Computing: Concentrating on energy-effective computing, green data centers, and the utilization of renewable energy resources, we focus on investigating suitable techniques to make cloud computing more adaptable.
5. Serverless Computing Architectures: On cloud services, our team aims to examine the influence of serverless computing. In different domains, it is appreciable to explore its possible uses, advantages, and limitations.
6. Cloud-Based Disaster Recovery and Business Continuity: For disaster recovery, data backup, and assuring continuity of business, cloud-based policies has to be constructed and evaluated in terms of various factors such as speed of recovery, expense, and credibility.
7. Cloud Computing in Healthcare: In healthcare, we plan to investigate the use of cloud computing such as cloud-based medical imaging and diagnostics, patient data management, and telemedicine.
8. Hybrid Cloud Management and Optimization: Considering data incorporation, compliance, workload balancing, and protection, our team intends to explore the management of hybrid cloud platforms.
9. Quantum Computing in the Cloud: Focusing on the impacts for data processing abilities and protection, it is appreciable to investigate the possible incorporation of quantum computing with cloud computing.
10. Blockchain Technology for Cloud Storage: In developing decentralized storage approaches, improving cloud storage protection, and enhancing data morality, we aim to investigate the utilization of blockchain technology.
11. Big Data Analytics in Cloud Computing: Focusing on limitations in actual time analytics, data storage, and data mining, the big data processing and analysis in cloud platforms ought to be examined.
12. Mobile Cloud Computing: Considering regions such as application development, data synchronization, and energy effectiveness, our team plans to examine approaches and limitations in prolonging cloud computing to mobile environments.
13. Cloud Networking Technologies: Encompassing network function virtualization (NFV), software-defined networking (SDN), it is approachable to research developments in cloud networking. On effectiveness and efficacy of cloud computing, we explore their influence.
14. Cloud Service Models and Their Evolution: The progression of cloud service frameworks such as SaaS, IaaS, PaaS should be examined. By considering limitations, tendencies, and upcoming advancements, our team plans to explore their influence on users and industries.
15. Internet of Things (IoT) and Cloud Integration: Concentrating on actual time processing, data aggregation, and analysis, it is appreciable to investigate in what manner IoT applications are improved by cloud computing.
16. Privacy-Preserving Techniques in Cloud Computing: In cloud computing platforms, secure user confidentiality through exploring effective techniques such as secure multi-party computation, differential privacy, or homomorphic encryption.
17. Cloud Computing in Education: In the education domain, our team plans to research the influence and contribution of cloud computing. It could encompass resource sharing, online learning environments, and collaborative tools.
18. Performance Optimization in Cloud Computing: In order to improve effectiveness of cloud computing, we focus on investigating suitable approaches such as effective resource management, load balancing, and auto-scaling.
19. Fog Computing and Its Role in Cloud Architecture: The concept of fog computing as an expansion of cloud computing must be examined. It is significant to consider its limitations, uses, and advantages.
20. Regulatory and Compliance Challenges in Cloud Computing: Generally, the legal and regulatory problems related to the cloud computing field such as cross-border data transfer problems, data privacy, and GDPR compliance ought to be investigated.

shodhganga research topics

Research students in India, employs Shodhganga which is considered as a repository of Indian doctoral theses and a resource. It is beneficial for students to save their Ph.D. theses and make them accessible to the whole scholarly committee in open availability. A broad scope of educational domains is encompassed in research topics which are existing in Shodhganga. We provide several research topics which line up with the various disciplines depicted in the Shodhganga repository:

1. Cultural Studies: The globalization influence on Indian culture, incorporation of contemporary cultures, and conventional approaches should be examined in an effective manner.
2. Environmental Science and Sustainability: On India’s platform, sustainable economic growth, and conservation policies, we focus on investigating the urbanization influence.
3. Public Health and Community Medicine: In public health strategies, rural regions, and conventional Indian medicine, it is significant to explore healthcare availability.
4. Indian Literature and Linguistics: Carry out investigation by considering the progression of different Indian languages, regional Indian literature, and their novel importance.
5. Education and Pedagogy: In Indian education, consider various teaching methodologies, and academic tactics and examine their performance. It is approachable to analyse their influence on society.
6. Economics and Rural Development: In Indian villages, our team aims to examine the influence of economic strategies on microfinance, rural advancement, and agricultural economics.
7. Political Science and Governance: The Indian political model, public strategy, and governance has to be examined. In social advancement, we intend to consider its influence.
8. Women’s Studies and Gender Issues: We plan to investigate explorations that are concentrating on gender equality, women’s rights, and the socio-economic problems confronted by women in India.
9. Information Technology and Computer Science: It is approachable to explore IT in academics, the advancement of IT architecture, the digital divide, and problems of cybersecurity in India.
10. Social Work and Sociology: In social advancement, the contribution of NGOs and social welfare strategies must be analyzed. In Indian society, our team explores the problems relevant to the religious, poverty, and caste.
11. Management and Business Studies: Generally, small and medium-sized enterprises, Indian entrepreneurship has to be investigated. We focus on examining corporate social accountability approaches in India.
12. Indian History and Archaeology: Historic sites, ancient Indian civilizations, and their protection should be investigated. In India, it is advisable to explore the background of different areas.
13. Biotechnology and Pharmaceutical Sciences: Generally, the biotechnological developments, conventional Indian medical plants, and drug advancement must be examined.
14. Physics and Material Science: In material science related to India’s business domain, ecological applications, and renewable energy technologies, we intend to research developments in an effective manner.
15. Legal Studies and Human Rights: Carry out investigation by considering constitutional law, public interest process, India’s legal model, and human rights problems.

We have offered a few leading cloud computing thesis topics which are considered as significant as well as provides a considerable possibility for investigation. Also, numerous research topics that coordinate with different disciplines demonstrated in the Shodhganga repository are suggested by us in this article.

Top Cloud Computing Thesis Topics

Top Cloud Computing Thesis Topics which we have guided scholars are listed in this page, if you are struggling to get your work done then we will help you on the right track, as we stay updated on all emerging trends let us handle your work. 

1. A home hospitalization system based on the Internet of things, Fog computing and cloud computing
2. Code-free cloud computing service to facilitate rapid biomedical digital signal processing and algorithm development
3. Predictive model-based quality inspection using Machine Learning and Edge Cloud Computing
4. A multi-objective optimized replication using fuzzy based self-defense algorithm for cloud computing
5. Review analysis on cloud computing based smart grid technology in the oil pipeline sensor network system
6. Adaptive fault-tolerant model for improving cloud computing performance using artificial neural network
7. Hybridization of firefly and Improved Multi-Objective Particle Swarm Optimization algorithm for energy efficient load balancing in Cloud Computing environments
8. Improved many-objective particle swarm optimization algorithm for scientific workflow scheduling in cloud computing
9. Hybridization of meta-heuristic algorithm for load balancing in cloud computing environment
10. Dynamic service function chain placement with instance reuse in Fog–Cloud​ Computing
11. Wearable system for outdoor air quality monitoring in a WSN with cloud computing: Design, validation and deployment
12. Energy cost minimization for sustainable cloud computing using option pricing
13. An Intelligent Swarm Based Prediction Approach For Predicting Cloud Computing User Resource Needs
14. Security information transmission algorithms for IoT based on cloud computing
15. Understanding the effect of cloud computing on organizational agility: An empirical examination
16. Context matters: A review of the determinant factors in the decision to adopt cloud computing in healthcare
17. A feedback-based combinatorial fair economical double auction resource allocation model for cloud computing
18. RSEAP2: An enhanced version of RSEAP, an RFID based authentication protocol for vehicular cloud computing
19. Resource allocation using Dynamic Pricing Auction Mechanism for supporting emergency demands in Cloud Computing
20. Cloud computing and its impact on the Japanese macroeconomy–its oligopolistic market characteristics and social welfare