Resource Management in Cloud Computing: Concepts and Implementation by Sakshi Pa

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Características del artículo

Estado
Como nuevo: Libro en perfecto estado y poco leído. La tapa no tiene desperfectos y si procede, con ...
Book Title
Resource Management in Cloud Computing
ISBN-13
9783031830525
ISBN
9783031830525
Categoría

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Product Identifiers

Publisher
Springer
ISBN-10
3031830520
ISBN-13
9783031830525
eBay Product ID (ePID)
16073768627

Product Key Features

Number of Pages
Xx, 220 Pages
Publication Name
Resource Management in Cloud Computing : concepts and Implementation
Language
English
Publication Year
2025
Subject
Cloud Computing, Networking / General
Type
Textbook
Author
Ashutosh Kumar Singh, Deepika Saxena, Sakshi Patni
Subject Area
Computers
Format
Trade Paperback

Dimensions

Item Length
9.3 in
Item Width
6.1 in

Additional Product Features

Dewey Edition
23
Number of Volumes
1 vol.
Illustrated
Yes
Dewey Decimal
004.6782
Table Of Content
Introduction.- Task Scheduling.- Resource Allocation Methods.- Dynamic Resource Allocation Models.- Secure Cloud Resource Management.- Heuristic Models for Optimal Host Selection.- Secure and Energy efficient Cloud Traffic Management Schemes.- Data Security and Leakage Detection Models.- Conclusion and Future Trends.
Synopsis
This book addresses fundamental concepts and practical implementations in cloud computing environments, focusing on load balancing and resource management. As cloud computing's popularity grows, expertise in infrastructure management is crucial for delivering flawless subscription-based services and hosted data solutions. The book presents novel models for cloud resource management to improve operational efficiency through better virtual machine (VM) placements. Beginning with task scheduling and resource allocation basics, the book progresses to resource management concepts. It introduces innovative models for dynamic resource allocation, heuristic approaches for optimal host selection, secure resource management frameworks, multi-objective VM allocation schemes, and data security models. A significant contribution is an effective model integrating load balancing, resource management, Quality of Service (QoS), security, and cloud performance for Infrastructure as a Service (IaaS). The book offers innovative methodologies for dynamic resource allocation and service administration in cloud datacenters. It presents traffic management techniques to reduce energy consumption, improve resource utilization, and enhance security through optimized VM placement, with experimental validation. These models improve response time, throughput, resource utilization, energy consumption, and failure node management. Security is addressed through secure VM placement strategies, making it harder for attackers to achieve co-tenancy. A multi-objective approach for secure load balancing optimizes multiple conflicting objectives simultaneously. The book includes cyber-threat countermeasures and provides recommendations for organizations and users. Suitable for senior undergraduate and graduate courses in cloud computing, resource allocation, security, and energy consumption methods, the book includes examples and tutorials using Cloudsim tools for beginners. This helps them understand virtual infrastructure and service design. The methodologies benefit both cloud service providers and customers, offering cost-effective solutions for revenue maximization. The comprehensive approach makes the book valuable for academic study and practical application in cloud computing environments.
LC Classification Number
QA76.585

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