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8 November 2024 An enhanced exponential distribution optimizer for solving task scheduling in cloud computing systems
Fengbin Wu, Shaobo Li, Libang Wu, Xuan Xiong, Rongxiang Xie
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Proceedings Volume 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024); 134163C (2024) https://doi.org/10.1117/12.3049678
Event: 2024 4th International Conference on Advanced Algorithms and Neural Networks, 2024, Qingdao, China
Abstract
Cloud computing has become integral to information technology, offering a flexible and scalable way to access and utilize computing resources. In cloud computing, task scheduling policies can affect the resource usage efficiency of the underlying system. Hence, allocating user-input tasks to appropriate computing resources is an essential issue in cloud task scheduling. For this, many meta-heuristic algorithms have been introduced. This paper addresses the problem of cloud task scheduling using the exponential distribution optimizer (EDO) for the first time. Meanwhile, an enhanced EDO variant, called EEDO, is proposed to enhance the optimal solution search ability further. Specifically, a chaotic oppositional learning strategy is proposed to improve population diversity. Then, a guided solution weight adaptation technique is developed to augment the accuracy. Experimental findings indicate that the proposed EEDO makes better use of system resources for different tasks. Hence, EEDO can be considered as a promising scheduling method.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
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Fengbin Wu, Shaobo Li, Libang Wu, Xuan Xiong, and Rongxiang Xie "An enhanced exponential distribution optimizer for solving task scheduling in cloud computing systems", Proc. SPIE 13416, Fourth International Conference on Advanced Algorithms and Neural Networks (AANN 2024), 134163C (8 November 2024); https://doi.org/10.1117/12.3049678
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KEYWORDS
Cloud computing
Particle swarm optimization
Computing systems
Mathematical optimization
Algorithms
Information technology
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