Advanced Computing Techniques for Optimization in Cloud (Chapman & Hall/Distributed Computing and Intelligent Data Analytics Series)

Synopsis

This book focuses on the current trends in research and analysis of virtual machine placement in a cloud data center. It discusses the integration of machine learning models and metaheuristic approaches for placement techniques. Taking into consideration the challenges of energy-efficient resource management in cloud data centers, it emphasizes upon computing resources being suitably utilised to serve application workloads in order to reduce energy utilisation, while maintaining apt performance. This book provides information on fault-tolerant mechanisms in the cloud and provides an outlook on task scheduling techniques. Focuses on virtual machine placement and migration techniques for cloud data centers Presents the role of machine learning and metaheuristic approaches for optimisation in cloud computing services Includes application of placement techniques for quality of service, performance, and reliability improvement Explores data center resource management, load balancing and orchestration using machine learning techniques Analyses dynamic and scalable resource scheduling with a focus on resource management The text is for postgraduate students, professionals, and academic researchers working in the fields of computer science and information technology.

Copyright:

2025

Book Details

Book Quality:

Publisher Quality

ISBN-13:

9781040112663

Related ISBNs:

9781032600079, 9781003457152, 9781040112649

Publisher:

CRC Press

Date of Addition:

09/11/24

Copyrighted By:

selection and editorial matter, Madhusudhan H S, Punit Gupta and Pradeep Singh Rawat

Adult content:

No

Language:

English

Has Image Descriptions:

No

Categories:

Nonfiction, Computers and Internet

Submitted By:

Bookshare Staff

Usage Restrictions:

This is a copyrighted book.

Edited by:

H S Madhusudhan

Edited by:

Punit Gupta

Edited by:

Pradeep Singh Rawat