The Allocation of Cloud Computing Resource Based on The Improved Ant colony Algorithm

被引:3
|
作者
Gao, Zhe [1 ]
机构
[1] Huazhong Univ Sci & Technol, Sch Comp Sci, Wuhan 430074, Hubei, Peoples R China
关键词
Ant Colony Algorithm; Cloud Computing; Allocation; Wireless Sensor Networks;
D O I
10.1109/IHMSC.2014.182
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Cloud computing is the development of distributed computing, parallel computing and grid computing, or defined as the commercial implementation of these computer science concepts. The allocation of cloud computing resource is a hot topic. Many scholars have done some research in this area. In this paper, we adopt the improved ant colony optimization algorithm to compute the allocation of the cloud computing resource and to analyze the impact of bandwidth, the load of network and response time on the cloud resource. Analysis and simulation results show that the throughput is increased and the response time isreduced based on the improved ACO compared with the routing algorithm (OSPF).
引用
收藏
页码:334 / 337
页数:4
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