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A Workflow Scheduling Method Based on the Combination of Tunicate Swarm Algorithm and Highest Response Ratio Next Scheduling
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Resumo(s)
Workflow scheduling is critical for efficient cloud resource management. This paper proposes Tunicate Swarm-Highest Response Ratio Next, a novel scheduler that synergistically combines the Tunicate Swarm Algorithm with the Highest Response Ratio Next policy. The Tunicate Swarm Algorithm generates a cost-minimizing task-to-VM mapping scheme, while the Highest Response Ratio Next dynamically dispatches tasks in the ready queue with the highest-priority. Experimental results demonstrate that the Tunicate Swarm-Highest Response Ratio Next reduces costs by up to 94.8% compared to meta-heuristic baselines. It also achieves competitive cost efficiency vs. a learning-based method while offering superior operational simplicity and efficiency, establishing it as a highly practical solution for dynamic cloud environments.
Descrição
Tian, Y., Zhu, M., Liu, J., Liu, C., & Zhang, Z. (2026). A Workflow Scheduling Method Based on the Combination of Tunicate Swarm Algorithm and Highest Response Ratio Next Scheduling. Computers, Materials & Continua, 87(2), Article 84. https://doi.org/10.32604/cmc.2026.075063
Palavras-chave
Workflow scheduling cloud computing tunicate swarm algorithm highest response ratio next scheduling Biomaterials Modelling and Simulation Mechanics of Materials Computer Science Applications Electrical and Electronic Engineering SDG 9 - Industry, Innovation, and Infrastructure