Title :
Cloud computing resource searching based on improved ACO
Author_Institution :
Comput. center of Sch. of Inf. Sci. & Technol., East China normal Univ., Shanghai, China
Abstract :
Aiming at the problem of the cloud computing hard to find the resource. Using the improved ant colony optimization (ACO) algorithm, the resource of cloud is found in optimized cost. Though theoretical deviation, The improved ACO algorithm can get the optimization result in limited time which is shorter than the standard ACO algorithm under situation of cloud computing. The correctness of theoretical derivation is verified by the experience.
Keywords :
ant colony optimisation; cloud computing; search problems; travelling salesman problems; TSP problem; cloud computing resource searching; improved ACO algorithm; improved ant colony optimization algorithm; ACO algorithm; TSP problem; cloud computing; resource search;
Conference_Titel :
Computer Science and Network Technology (ICCSNT), 2012 2nd International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-4673-2963-7
DOI :
10.1109/ICCSNT.2012.6526299