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Design of QoS and Energy Efficient VM Consolidation Framework for Cloud Data Centers

  • Neha SongaraEmail author
  • Manoj Kumar Jain
Chapter
  • 31 Downloads
Part of the Lecture Notes in Electrical Engineering book series (LNEE, volume 643)

Abstract

The virtualization and Virtual Machine (VM) Consolidation are the effective solutions for energy consumption reduction. The VM consolidation algorithms designed recently shows the efficiency in terms of energy consumption, Service Level Agreement Violations (SLAV) etc. The methods still suffered from the challenges to achieve the trade-off between QoS and Energy efficiency at VM consolidation. The design of VM consolidation should be efficient in terms of VM’s allocation, migration, and workload management. In this paper, we proposed the design of novel VM consolidation approach in cloud data center to address the challenges of recent methods. First the Multi Resources based (CPU, RAM, network Traffic, bandwidth etc.) dynamic Overload Decision Algorithm (MR-ODA). For best VM selection, we used the policies of CloudSim framework. After selection of VMs to migrate, the efficient VM placement algorithm proposed based on optimization method called Particle Swarm Optimization (PSO). The algorithms designed to achieve the minimize energy consumption, QoS, reliability with minimum SLAV. The outcome of this paper is the new framework for VM consolidation to optimize the CloudSim tool.

Keywords

Cloud computing CloudSim Data centers Energy consumption Physical machines Virtual machine consolidation Virtualization 

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Copyright information

© Springer Nature Singapore Pte Ltd. 2020

Authors and Affiliations

  1. 1.Research Scholar, Computer ScienceMohanlal Sukhadia UniversityUdaipurIndia
  2. 2.Professor, Computer ScienceMohanlal Sukhadia UniversityUdaipurIndia

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