| Autor: |
Jalali Khalil Abadi, Z., Mansouri, N., Javidi, M., Mohammad Hasani Zade, B. |
| Předmět: |
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| Zdroj: |
Journal of Algorithms & Computation; Aug2024, Vol. 56 Issue 1, p146-171, 26p |
| Abstrakt: |
Cloud computing allows users to access software and hardware resources over the network. Task scheduling plays a major role in achieving cost-effective execution. It is a process of allocating resources to certain tasks in order to optimize one or more criteria. Metaheuristics provide promising solutions for task scheduling by leveraging bio-inspired techniques. In order to solve the task scheduling problem, we present an algorithm that uses a new meta-heuristic algorithm namely, WO (Walrus Optimizer). The proposed method is known as WO-based Task Scheduling Algorithm. Its main objective is to decrease execution cost, load balancing, resource utilization, and makespan. WOTSA is compared against several popular meta-heuristic algorithms. According to the experimental results, WOTSA improves performance in terms of different benchmarks. [ABSTRACT FROM AUTHOR] |
| Databáze: |
Complementary Index |
| Externí odkaz: |
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