Opposition Strategy with Harris Hawk Algorithm for Task Scheduling in Edge Computing

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Padmakala, S. and Khond, Smita and Al-Farouni, Mohammed and Punitha, S. and Kaliappan, S. (2024) Opposition Strategy with Harris Hawk Algorithm for Task Scheduling in Edge Computing. In: UNSPECIFIED.

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Abstract

Edge computing (EC) nodes face increasing task loads. This study presents Opposition-Based Learning with Harris Hawk Optimization (OHHO) for task scheduling in dynamic EC environments. OBL discards suboptimal solutions, improving adaptability. Dynamic Priority Task Scheduling Algorithm (DPTSA) balances load by priority and resource availability. OHHO achieved 0.1 mJ energy, 1s makespan, 45ms delay, outperforming DQN and PSO-GWO approaches. © 2025 Elsevier B.V., All rights reserved.

Item Type: Conference or Workshop Item (Paper)
Subjects: Computer Science > Computer Networks and Communications
Divisions: Arts and Science > Vinayaka Mission's Kirupananda Variyar Arts & Science College, Salem > Computer Science
Depositing User: Unnamed user with email techsupport@mosys.org
Last Modified: 27 Nov 2025 07:09
URI: https://vmuir.mosys.org/id/eprint/2086

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