Task Scheduling Mechanism Based on Multi-QoS Genetic Algorithm in Cloud Data Center
2013 ◽
Vol 846-847
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pp. 1468-1471
Keyword(s):
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.
2017 ◽
Vol 159
(5)
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pp. 1-5
Keyword(s):
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2014 ◽
Vol 513-517
◽
pp. 2031-2034
Keyword(s):
2016 ◽
Vol 18
(04)
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pp. 18-25
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