Journal
NANOTECHNOLOGY AND PRECISION ENGINEERING, PTS 1 AND 2
Volume 662, Issue -, Pages 957-960Publisher
TRANS TECH PUBLICATIONS LTD
DOI: 10.4028/www.scientific.net/AMR.662.957
Keywords
cloud computing; resource allocation; task scheduling; particle swarm optimization; multi-objective optimization
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Cloud computing is an emerging high performance computing environment with a large scale, heterogeneous collection of autonomous systems and flexible computational architecture. The performance of the scheduling system influences the cost benefit of this computing paradigm. To reduce the energy consumption and improve the profit, a job scheduling model based on the particle swarm optimization(PSO) algorithm is established for cloud computing. Based on open source cloud computing simulation platform CloudSim, compared to GA and random scheduling algorithms, the results show that the proposed algorithm can obtain a better solution concerning the energy cost and profit.
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