Study on Energy-Saving Efficient Resource Scheduling Optimization Algorithm in Cloud Computing

Dan Dan He; Hong Feng Hou; Li Juan Wang

doi:10.4028/www.scientific.net/AMR.915-916.1285

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 915-916Study on Energy-Saving Efficient Resource...

Study on Energy-Saving Efficient Resource Scheduling Optimization Algorithm in Cloud Computing

Abstract:

It is a critical problem that schedules cloud resource in cloud environment. Based on the characteristics of cloud computing and analysis on cloud computing resource scheduling model framework, and the traditional resource scheduling of cloud computing is only concerned the maximum completion time of the task, without taking into account the energy consumption problem, this paper uses an improved particle swarm optimization, that is, when the optimal solution did not change for two generations, traversing through the chaotic particle method for local optimization to accelerate access to global optimal solution. Then, compared this algorithm with other scheduling algorithms by simulating, proved that better scheduling scheme can be achieved, as well as the effectiveness and practicality of the algorithm.

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Periodical:

Advanced Materials Research (Volumes 915-916)

Pages:

1285-1291

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.915-916.1285

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Online since:

April 2014

Authors:

Dan Dan He*, Hong Feng Hou, Li Juan Wang

Keywords:

Cloud Computing, Particle Swarm Optimization (PSO), Resources Scheduling

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* - Corresponding Author

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