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Full Description
Swarm Intelligence in Cloud Computing is an invaluable treatise for researchers involved in delivering intelligent optimized solutions for reliable deployment, infrastructural stability, and security issues of cloud-based resources. Starting with a bird's eye view on the prevalent state-of-the-art techniques, this book enriches the readers with the knowledge of evolving swarm intelligent optimized techniques for addressing different cloud computing issues including task scheduling, virtual machine allocation, load balancing and optimization, deadline handling, power-aware profiling, fault resilience, cost-effective design, and energy efficiency.
The book offers comprehensive coverage of the most essential topics, including:
Role of swarm intelligence on cloud computing services
Cloud resource sharing strategies
Cloud service provider selection
Dynamic task and resource scheduling
Data center resource management.
Indrajit Pan is an Associate Professor in Information Technology of RCC Institute of Information Technology, India. He received his PhD from Indian Institute of Engineering Science and Technology, Shibpur, India. With an academic experience of 14 years, he has published around 40 research publications in different international journals, edited books, and conference proceedings.
Mohamed Abd Elaziz is a Lecturer in the Mathematical Department of Zagazig University, Egypt. He received his PhD from the same university. He is the author of more than 100 articles. His research interests include machine learning, signal processing, image processing, cloud computing, and evolutionary algorithms.
Siddhartha Bhattacharyya is a Professor in Computer Science and Engineering of Christ University, Bangalore. He received his PhD from Jadavpur University, India. He has published more than 230 research publications in international journals and conference proceedings in his 20 years of academic experience.
Contents
A Survey of Swarm Intelligence for Task Scheduling in Cloud Computing. Techniques for resource sharing in Cloud computing platform. Swarm Intelligent Techniques for Cloud Service Provider Selection in a Multi-cloud Environment. Cloud Data Auditing under Dynamic Resource Scheduling through Ant Colony Optimization. TS-GWO: IoT Tasks Scheduling in Cloud Computing using Grey Wolf Optimizer. Fact-checking: Application-awareness in Data Centre Resource Management. Bio-inspired Optimization Algorithms for Multi-objective Task Scheduling in Cloud Computing Systems.
