DocumentCode
256804
Title
The Allocation of Cloud Computing Resources Based on the Improved Ant Colony Algorithm
Author
Zhe Gao
Author_Institution
Sch. of Comput. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China
Volume
2
fYear
2014
fDate
26-27 Aug. 2014
Firstpage
334
Lastpage
337
Abstract
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).
Keywords
ant colony optimisation; cloud computing; grid computing; parallel processing; ACO; ant colony algorithm; bandwidth impact; cloud computing resources allocation; computer science concept; distributed computing; grid computing; parallel computing; Algorithm design and analysis; Cities and towns; Cloud computing; Computational modeling; Resource management; Routing; Throughput; Allocation; Ant Colony Algorithm; Cloud Computing; Wireless Sensor Networks;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location
Hangzhou
Print_ISBN
978-1-4799-4956-4
Type
conf
DOI
10.1109/IHMSC.2014.182
Filename
6911513
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