Genetic Algorithm Optimized Network in Cloud Data Centre

2016 ◽  
Vol 22 (10) ◽  
pp. 2705-2709 ◽  
Author(s):  
Okta Nurika ◽  
Mohd Fadzil Hassan ◽  
Nordin Zakaria ◽  
Low Tan Jung
Helix ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 4722-4731
Author(s):  
P.S.Latha Kalyampudi ◽  
P.Venkata Krishna

2013 ◽  
Vol 846-847 ◽  
pp. 1468-1471
Author(s):  
De Wen Wang ◽  
Yang Liu

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.


Author(s):  
Weiyang Wang ◽  
Mianxiong Dong ◽  
Kaoru Ota ◽  
Jun Wu ◽  
Jianhua Li ◽  
...  

2020 ◽  
Vol 34 (3) ◽  
pp. 141
Author(s):  
Songyun Wang ◽  
Jiabin Yuan ◽  
Xiaoda Zhang ◽  
Zhuzhong Qian ◽  
Xin Li ◽  
...  

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