Title :
The Allocation of Cloud Computing Resources Based on the Improved Ant Colony Algorithm
Author_Institution :
Sch. of Comput. Sci., Huazhong Univ. of Sci. & Technol., Wuhan, China
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;
Conference_Titel :
Intelligent Human-Machine Systems and Cybernetics (IHMSC), 2014 Sixth International Conference on
Conference_Location :
Hangzhou
Print_ISBN :
978-1-4799-4956-4
DOI :
10.1109/IHMSC.2014.182