Title: Utilisation aware virtual machine selection policy for workload consolidation in cloud data centres

Authors: Dipak Dabhi; Devendra Thakor

Addresses: Department of Computer Engineering, Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University, Bardoli, Gujarat, India ' Department of Computer Engineering, Chhotubhai Gopalbhai Patel Institute of Technology, Uka Tarsadia University, Bardoli, Gujarat, India

Abstract: Large-scale virtualised data centres have been constructed throughout the world in response to the rising demand for service-oriented computing and the expansion of cloud computing technologies. These vast data centres consume a significant amount of power and have a significant carbon footprint, which must be reduced to the greatest extent feasible. The dynamic virtual machine consolidation provided by live migration leads to significant energy savings. However, it also constitutes a violation of the service level agreement (SLA). The process of selecting virtual machine (VM) for migration is critical in the realm of energy-aware cloud computing. This study proposes a novel utilisation aware VM selection (UAVMS) policy that aids in VM selection for migration using server utilisation and skewness value. We use the CloudSim toolkit to build our UAVMS policy and compare its performance with existing methods. The experimental results shows that UAVMS reduces the energy usage and SLA violations.

Keywords: cloud computing; VM consolidation; VMC; QoS; service level agreement; SLA; VM selection; overload host detection; VM placement; underload host detection.

DOI: 10.1504/IJCNDS.2023.129226

International Journal of Communication Networks and Distributed Systems, 2023 Vol.29 No.2, pp.125 - 148

Received: 17 Dec 2021
Accepted: 22 Feb 2022
Published online: 01 Mar 2023 *

Full-text access for editors Full-text access for subscribers Purchase this article Comment on this article