Abstract
Multicast routing issue under the condition of cloud computing is an NP problem, mainly involving task delay, actual bandwidth, network packet loss rate and other factors with constraint problems. Ant colony algorithm is an intelligent algorithm to solve NP problem, but it is featured by long search time and vulnerability to fall into local optimum. Therefore, this paper modifies the pheromone and introduces fitness function, so that the improved algorithm is superior to ant colony algorithm in performance. Further simulation experiments show that the presented algorithm has good performance and good results in route scheduling under the cloud computing.
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