Title: An energy aware AVAO algorithm-based optimal task allocation scheme for multi-core systems

Authors: P.R. Mohanan; Mariamma Chacko

Addresses: Department of Ship Technology, Cochin University of Science and Technology, Ernakulam, Kerala, India ' Department of Ship Technology, Cochin University of Science and Technology, Ernakulam, Kerala, India

Abstract: Dynamic voltage and frequency scaling (DVFS) is crucial for optimising multicore system functionality, as modern computing system must consider energy efficiency due to increasing power demands and environmental concerns. Rapid increase in mobile embedded systems necessitates a more comprehensive optimisation of power-saving capabilities, beyond DVFS directly. This paper proposes an energy aware DVFS enabled meta-heuristic algorithm which is a combination of African vulture optimisation algorithm (AVOA) and Aquila optimisation algorithm (AOA), to optimise task allocation in multicore environments. The suggested model is executed via MATLAB, it addresses energy consumption, temperature deviations and make span of multicore systems. The proposed model can save an average power of 28.15% and 64% make span. According to the simulation results, hybrid model AVAO outperforms existing models compared.

Keywords: task scheduling; dynamic voltage and frequency scaling; DVFS; multi-core systems; energy consumption; African vulture optimisation algorithm; AVOA; Aquila optimisation algorithm; AOA.

DOI: 10.1504/IJPEC.2025.145343

International Journal of Power and Energy Conversion, 2025 Vol.16 No.2, pp.133 - 144

Received: 19 Sep 2023
Accepted: 28 Mar 2024
Published online: 31 Mar 2025 *

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