Title: SHO: an efficient multi-objective task scheduling in hybrid cloud-fog computing environment

Authors: Santhosh Kumar Medishetti; Ganesh Reddy Karri

Addresses: School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India; Nalla Narasimha Reddy Education Society's Group of Institutions, Hyderabad, Telangana, India ' School of Computer Science and Engineering (SCOPE), VIT-AP University, Amaravathi, Andhra Pradesh, India

Abstract: Cloud-Fog Computing (CFC) has emerged as a solution to meet the growing demand for efficient processing in diverse applications. Task Scheduling (TS) within CFC is crucial for resource optimisation and meeting user needs. This paper presents a novel approach to TS using the Spotted Hyena Optimisation (SHO) algorithm, drawing inspiration from hyena pack dynamics. SHO aims to minimise makespan, energy consumption and execution time while enhancing throughput. The study extensively evaluates SHO's adaptability to dynamic workloads and varying user demands through simulations. Results demonstrate SHO's superior performance over existing algorithms, highlighting its potential to enhance CFC system efficiency and reliability. The proposed algorithm is effectively balances the makespan time by 13.69%, execution time by 26.06%, energy saving by 30.99% and increased throughput by 14.59% over three existing advanced scheduling algorithms. This research contributes to the ongoing optimisation of TS in CFC, offering valuable insights into nature-inspired algorithms' effectiveness in addressing complex computational challenges.

Keywords: task scheduling; cloud-fog computing; spotted hyena optimisation; makespan; execution time; energy consumption.

DOI: 10.1504/IJGUC.2025.148546

International Journal of Grid and Utility Computing, 2025 Vol.16 No.5/6, pp.561 - 578

Received: 28 May 2024
Accepted: 28 Sep 2024
Published online: 11 Sep 2025 *

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