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Efficient Load Optimization Method Using VM Migration in Cloud Environment - 2021

Research Area:  Cloud Computing

Abstract:

Virtualization is the fundamental integral part of CLOUD technology where load balancing among virtual machines (VM) and physical machines (PM) are managed. Heavy workload in PM makes cloud more imbalance and unorganized. To handle load balancing among PMs, VM migration is one of the best approaches. In this paper, a new approach is introduced to explore the best optimal destination PM for VM migration using soft computing based Type2 Fuzzy Logic technique (T2FL). The VM which has minimum migration time gets selected for migration from source PM to optimal destination PM. The simulation is performed using CloudSim tool and java-based fuzzy (Juzzy) packages have been extended for fuzzy system results. The simulated results of proposed VMMLB-FLS has been analyzed with existing Round Robin and CM-eFCFS cloud-based algorithms with respect to performance metrics Transmission Time, Execution Time, MakeSpan, and Number of Migrations. The proposed method results depict the effectiveness of VMMLB-FLS compared to existing methods.

Author(s) Name:  Sarita Negi,Man Mohan Singh Rauthan,Kunwar Singh Vaisla,Neelam Panwar

Journal name:  

Conferrence name:  Proceedings of International Conference on Machine Intelligence and Data Science Applications

Publisher name:  Springer

DOI:  10.1007/978-981-33-4087-9_7

Volume Information:   pp 83-97