Swarm intelligence for cloud computing / edited by Indrajit Pan, Mohamed Abd Elaziz, Siddhartha Bhattacharyya.

Contributor(s):

Material type: Text

TextPublication details: Boca Raton, FL : Chapman & Hall/CRC, 2021Edition: 1st edDescription: xix, 197 p.: illustrations (black and white); 24 cmISBN:

9780367030551

Subject(s):

DDC classification:

006.3824 PAS

Contents:

Chapter 1: A Survey of Swarm Intelligence for Task Scheduling in Cloud Computing

Chapter 2: Techniques for resource sharing in Cloud computing platfor

Chapter 3: Swarm Intelligent Techniques for Cloud Service Provider Selection in a Multi-cloud Environment

Chapter 4: Cloud Data Auditing under Dynamic Resource Scheduling through Ant Colony Optimization

Chapter 5: TS-GWO: IoT Tasks Scheduling in Cloud Computing using Grey Wolf Optimizer

Chapter 6: Fact-checking: Application-awareness in Data Centre Resource Management

Chapter 7: Bio-inspired Optimization Algorithms for Multi-objective Task Scheduling in Cloud Computing Systems

Summary: 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

Item type:

Books List(s) this item appears in: Computer Science & Engineering

Tags from this library: No tags from this library for this title. Log in to add tags.

Average rating: 0.0 (0 votes)

Holdings
Item type	Current library	Collection	Shelving location	Call number	Copy number	Status	Date due	Barcode
Books	KU Central Library	Rack No. : 01 Annex : 01 Shelve No. : A-03	Reference Section (Non-Issuable Books)	006.3824 PAS 2021 (Browse shelf(Opens below))	C-1 (NI)	Not For Loan		52103

Browsing KU Central Library shelves Close shelf browser (Hides shelf browser)

Previous
Previous	006.31 KOP 2023 Practical Deep Learning for Cloud, Mobile, and Edge : Real-World AI & Computer-Vision Projects Using Python, Keras & TensorFlow /	006.31 LIR 2020 Reinforcement learning for cyber-physical systems with cybersecurity case studies /	006.3824 KUS 2020 Swarm intelligence and evolutionary algorithms in healthcare and drug development/	006.3824 PAS 2021 Swarm intelligence for cloud computing /	006.7 LAB 2017 The Big Humanities Digital Humanities/Digital Laboratories /	621.381011 TAD 2005 Distributed Systems : Principles and Paradigms /

Includes index.

Chapter 1: A Survey of Swarm Intelligence for Task Scheduling in Cloud Computing

Chapter 2: Techniques for resource sharing in Cloud computing platfor

Chapter 3: Swarm Intelligent Techniques for Cloud Service Provider Selection in a Multi-cloud Environment

Chapter 4: Cloud Data Auditing under Dynamic Resource Scheduling through Ant Colony Optimization

Chapter 5: TS-GWO: IoT Tasks Scheduling in Cloud Computing using Grey Wolf Optimizer

Chapter 6: Fact-checking: Application-awareness in Data Centre Resource Management

Chapter 7: Bio-inspired Optimization Algorithms for Multi-objective Task Scheduling in Cloud Computing Systems

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

There are no comments on this title.

to post a comment.

Click on an image to view it in the image viewer