Title: QGE-VMC: a QoS-and-global-energy aware VM consolidation strategy for data centres

Authors: Hao Feng; Tianqin Zhou

Addresses: School of Computer Science and Technology, Hainan University, Haikou, China ' School of Computer Science and Technology, Hainan University, Haikou, China

Abstract: Traditional energy consumption optimisation strategies that do not consider the quality of service (QoS) may lead to customer loss and large profit loss. To solve the above problems, we propose a QoS-and-global-energy aware virtual machine (VM) consolidation strategy (QGE-VMC) for data centres. First, during the overload detection phase, we dynamically set overload thresholds for servers based on the historical utilisation of VMs to prevent host overload, which effectively reduces service level agreement (SLA) violations and improves QoS. Second, in the VM selection phase, we considered reducing both the time and number of VM migration, which reduces the time when servers are overloaded. Third, during the target host selection phase, we use a heuristic algorithm to make the selected servers ensure that the global energy consumption of the data centre rises to the minimum and will not be overloaded, thereby ensuring QoS while reducing data centre energy consumption.

Keywords: data centre; virtual machine consolidation; service level agreement violations; energy optimisation.

DOI: 10.1504/IJBIC.2024.141456

International Journal of Bio-Inspired Computation, 2024 Vol.24 No.2, pp.122 - 131

Received: 10 Oct 2023
Accepted: 23 Feb 2024
Published online: 13 Sep 2024 *

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