Trust-based fruit fly optimisation algorithm for task scheduling in a cloud environment

Q4 Engineering
P. Govindaraj, Jaisankar Natarajan
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引用次数: 6

Abstract

Efficient task scheduling plays a critical role in cloud computing environment. In this paper, we proposed a novel trust-based fruit fly optimisation algorithm (TFOA) for task scheduling. Even though traditional scheduling algorithms, namely first come first serve, round robin, ant colony optimisation and so on are used broadly in cloud computing process but still efficient scheduling is not achieved. In general cloud service provider desires to receive the customer task in a faster rate allocated on the most trustworthy resource by using TFOA. Simulation outcomes show that the proposed algorithm performs better than the existing transitional algorithms like round robin and particle swarm optimisation (PSO) in terms of reduced makespan and turnaround time and efficient resource utilisation.
云环境下基于信任的果蝇任务调度优化算法
高效的任务调度在云计算环境中起着至关重要的作用。在本文中,我们提出了一种新的基于信任的果蝇优化算法(TFOA)用于任务调度。尽管传统的调度算法,即先到先得、循环、蚁群优化等在云计算过程中得到了广泛的应用,但仍然没有实现高效的调度。通常,云服务提供商希望通过使用TFOA在最值得信赖的资源上以更快的速率接收客户任务。仿真结果表明,与现有的循环算法和粒子群优化算法相比,该算法在缩短完工时间和周转时间以及有效利用资源方面表现更好。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
International Journal of Internet Manufacturing and Services
International Journal of Internet Manufacturing and Services Engineering-Industrial and Manufacturing Engineering
CiteScore
0.70
自引率
0.00%
发文量
7
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