Title: Constrained-based power management algorithm for green cloud computing

Authors: Sanjib Kumar Nayak; Sanjaya Kumar Panda; Satyabrata Das

Addresses: Department of Computer Application, Veer Surendra Sai University of Technology, Burla – 768018, Odisha, India ' Department of Computer Science and Engineering, National Institute of Technology, Warangal – 506004, Telangana, India ' Department of Information Technology, Veer Surendra Sai University of Technology, Burla – 768018, Odisha, India

Abstract: In green cloud computing (GCC), power management provides many advantages, such as reducing costs, saving the environment and improving system efficiency. It is adopted in various facilities, like datacentres, which are backed by non-renewable energy (NRE) sources. These sources are not only costly, but also drastically impact the environment. This paper introduces a constrained-based power management algorithm, which considers four NRE and RE power supplies of the datacentres, grid, photovoltaic (PV), wind and battery, to fulfil the cumulative load power demand of submitted user requests (URs). The URs are fulfilled in the order of PV, wind and battery, and grid, respectively. The simulation is carried out by taking NRE sources, RE sources and both, and ten instances. The simulation results are compared using overall cost, UR assigned to NRE and UR assigned to RE to show the performance in three scenarios of the proposed algorithm.

Keywords: green cloud computing; GCC; power management; non-renewable energy; NRE; renewable energy; fossil fuel; solar; wind; load balancing.

DOI: 10.1504/IJCSE.2022.127187

International Journal of Computational Science and Engineering, 2022 Vol.25 No.6, pp.657 - 667

Received: 28 Apr 2021
Accepted: 18 Sep 2021
Published online: 25 Nov 2022 *

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