04275nam 22005535 450 991098303390332120250211115234.09783031830532303183053910.1007/978-3-031-83053-2(CKB)37516007800041(MiAaPQ)EBC31903080(Au-PeEL)EBL31903080(DE-He213)978-3-031-83053-2(OCoLC)1501349545(EXLCZ)993751600780004120250211d2025 u| 0engur|||||||||||txtrdacontentcrdamediacrrdacarrierResource Management in Cloud Computing Concepts and Implementation /by Sakshi Patni, Deepika Saxena, Ashutosh Kumar Singh1st ed. 2025.Cham :Springer Nature Switzerland :Imprint: Springer,2025.1 online resource (266 pages)9783031830525 3031830520 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.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.Cloud computingComputer networksCloud ComputingComputer Communication NetworksCloud computing.Computer networks.Cloud Computing.Computer Communication Networks.004.6782Patni Sakshi1785461Saxena Deepika1785462Singh Ashutosh Kumar1785463MiAaPQMiAaPQMiAaPQBOOK9910983033903321Resource Management in Cloud Computing4316991UNINA