Task Scheduling Mechanism Based on Multi-QoS Genetic Algorithm in Cloud Data Center

De Wen Wang; Yang Liu

doi:10.4028/www.scientific.net/AMR.846-847.1468

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 846-847Task Scheduling Mechanism Based on Multi-QoS...

Task Scheduling Mechanism Based on Multi-QoS Genetic Algorithm in Cloud Data Center

Abstract:

A multi-QoS evaluation model for electric power users is defined, combined with the characteristics of data center in electric power corporation, based on the research of cloud computing platform of data center in electric power corporation and task scheduling strategies of cloud data center. And a genetic algorithm based on multi-QoS, which fitness functions are QoS utility value and completion time, is put forward. Tests in Cloudsim platform and the result shows that the genetic algorithm based on multi-QoS can satisfy the requirements of multi-QoS of electric power users and improve the operating efficiency of data center in electric power corporation.

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Periodical:

Advanced Materials Research (Volumes 846-847)

Pages:

1468-1471

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.846-847.1468

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Online since:

November 2013

Authors:

De Wen Wang*, Yang Liu

Keywords:

Cloud Data Center, Genetic Algorithm (GA), Multi-Qos, Task Scheduling

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* - Corresponding Author

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