Job Scheduling Algorithm for Cloud Computing Based on Particle Swarm Optimization

Jing Liu; Xing Guo Luo; Xing Ming Zhang; Fan Zhang

doi:10.4028/www.scientific.net/AMR.662.957

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HomeAdvanced Materials ResearchAdvanced Materials Research Vol. 662Job Scheduling Algorithm for Cloud Computing Based...

Job Scheduling Algorithm for Cloud Computing Based on Particle Swarm Optimization

Abstract:

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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Periodical:

Advanced Materials Research (Volume 662)

Pages:

957-960

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.662.957

Citation:

Cite this paper

Online since:

February 2013

Authors:

Jing Liu, Xing Guo Luo, Xing Ming Zhang, Fan Zhang

Keywords:

Cloud Computing, Multi-Objective Optimization (MOP), Particle Swarm Optimization (PSO), Resource Allocation, Task Scheduling

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