Cloud Computing Project Topics With Abstracts and Base Papers 2024

Embark on a journey through innovative research as we unveil M.Tech projects pushing the boundaries of technology. From revolutionizing pavement crack image segmentation with deep learning to addressing healthcare challenges in Mobile Cloud Computing (MCC) through the Modular Encryption Standard (MES), our projects reflect cutting-edge solutions. Explore the future of Big Data (BD) operations with our Big Cloud framework. Each project represents a commitment to advancing knowledge and overcoming challenges in the dynamic field of computer engineering. Welcome to a showcase where technology meets groundbreaking research!

M.Tech Projects Topics List In Cloud Computing


Project TopicsBase PaperAbstract
1.Enhancing Security of Health Information Using Modular Encryption Standard in Mobile Cloud Computing. Get HelpDownloadAbstract
2.Security by Design for Big Data Frameworks Over Cloud Computing.  Get HelpDownloadAbstract
3.Cloud Computing-Based Framework for Breast Cancer Diagnosis Using Extreme Learning Machine. Get HelpDownloadAbstract
4.HEPGA: A new effective hybrid algorithm for scientific workflow scheduling in cloud computing environment. Get HelpDownloadAbstract
5.Performance Analysis of Scheduling Algorithms for Virtual Machines and Tasks in Cloud Computing Get HelpDownloadAbstract
6.Genetic Algorithm-Based Task Scheduling in Cloud Computing Using MapReduce Framework. Get HelpDownloadAbstract
7.DCHG-TS: a deadline-constrained and cost-effective hybrid genetic algorithm for scientific workflow scheduling in cloud computing. Get HelpDownloadAbstract
8.Applications of Virtual Machine Using Multi-Objective Optimization Scheduling Algorithm for Improving CPU Utilization and Energy Efficiency in Cloud Computing.  Get HelpDownloadAbstract
9.A novel hybrid antlion optimization algorithm for multi-objective task scheduling problems in cloud computing environments. Get HelpDownloadAbstract
10.A multi-objective Monarch Butterfly Algorithm for virtual machine placement in cloud computing. Get HelpDownloadAbstract
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