Title: Enhanced placement and migration of virtual machines in heterogeneous cloud data centre

Authors: M. Amarendhar Reddy; K. Ravindranath

Addresses: Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India; Department of Information Technology, B.V. Raju Institute of Technology, Narsapur, Medak, Telangana, India ' Department of Computer Science and Engineering, Koneru Lakshmaiah Education Foundation, Vaddeswaram, AP, India

Abstract: It became necessary to manage cloud resources efficiently to reduce the ever-increasing power demands of data centres. Dynamic consolidation of virtual machines (VMs) in a data centre is an effective way to map workloads on to servers with less resources and reduces energy consumption. In this paper, we propose to use Z-score for host overload detection which gives an assessment of the degree to which a processor is operating off-target and compares the current CPU load to a 'normal' usage. We also design a novel VM selection policy, considering various resource utilisation factors to select the VMs. In addition, we propose an improved version of JAYA approach by incorporating Levy flights for VM placement that improves the exploration capabilities and minimise the energy consumption of a data centre. We conducted simulations using CloudSim and observed that our approach reduces power consumption by 10% compared to state-of-the-art approaches.

Keywords: data centre; virtual machine; placement; overload detection; 13 optimisation; energy efficiency; cloud computing; resource management.

DOI: 10.1504/IJBIC.2024.137907

International Journal of Bio-Inspired Computation, 2024 Vol.23 No.3, pp.168 - 178

Received: 12 Apr 2022
Accepted: 02 Aug 2023
Published online: 08 Apr 2024 *

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