Performance Comparison of Energy-Aware Task Scheduling with GA and CRO Algorithms in Cloud Environment

Lin Wu; Yu Jing Wang; Chao Kun Yan

doi:10.4028/www.scientific.net/AMM.596.204

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 596Performance Comparison of Energy-Aware Task...

Performance Comparison of Energy-Aware Task Scheduling with GA and CRO Algorithms in Cloud Environment

Abstract:

With energy problem of cloud data center is becoming more and more serious, the BoT scheduling algorithm only considering the timespan is not applicable to the cloud computing environment. In order to explore the energy-aware task scheduling algorithm performance, this paper validates simulation experiments with GA algorithms and CRO algorithms, to optimize the makespan as the main objective, to optimize energy consumption indicators for the secondary objective. Experiments show that, GA algorithms and CRO algorithm can be applied to different scenarios, while optimizing makespan, but also to some extent reduce the total energy consumption of the system can be used as task scheduling strategy cloud environments.Keyword: Cloud Computing, Task Scheduling, Energy-awareness, CRO algorithm, GA algorithm

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Periodical:

Applied Mechanics and Materials (Volume 596)

Pages:

204-208

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.596.204

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Online since:

July 2014

Authors:

Lin Wu*, Yu Jing Wang, Chao Kun Yan

Keywords:

Cloud Computing, CRO Algorithm, Energy-Awareness, GA Algorithm, Task Scheduling

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* - Corresponding Author

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