LEADER 04275nam 22005535 450 001 9910983033903321 005 20250211115234.0 010 $a9783031830532 010 $a3031830539 024 7 $a10.1007/978-3-031-83053-2 035 $a(CKB)37516007800041 035 $a(MiAaPQ)EBC31903080 035 $a(Au-PeEL)EBL31903080 035 $a(DE-He213)978-3-031-83053-2 035 $a(OCoLC)1501349545 035 $a(EXLCZ)9937516007800041 100 $a20250211d2025 u| 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aResource Management in Cloud Computing $eConcepts and Implementation /$fby Sakshi Patni, Deepika Saxena, Ashutosh Kumar Singh 205 $a1st ed. 2025. 210 1$aCham :$cSpringer Nature Switzerland :$cImprint: Springer,$d2025. 215 $a1 online resource (266 pages) 311 08$a9783031830525 311 08$a3031830520 327 $aIntroduction -- 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. 330 $aThis 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. 606 $aCloud computing 606 $aComputer networks 606 $aCloud Computing 606 $aComputer Communication Networks 615 0$aCloud computing. 615 0$aComputer networks. 615 14$aCloud Computing. 615 24$aComputer Communication Networks. 676 $a004.6782 700 $aPatni$b Sakshi$01785461 701 $aSaxena$b Deepika$01785462 701 $aSingh$b Ashutosh Kumar$01785463 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910983033903321 996 $aResource Management in Cloud Computing$94316991 997 $aUNINA