Cloud resource scheduling research based on intelligent computing

Xianquan Zeng

COMPUTER MODELLING & NEW TECHNOLOGIES 2014 18(12B) 277-282

School of Information Engineering,Xuchang University, Xuchang City, Henan Province, China, 461000

Load balancing is an important problem of cloud computing. Due to the particularity of cloud computing, it puts forward higher requirements for load balancing. Thus a kind of load balance scheduling model of cloud computing based on improved ant colony algorithm is put forward. A new pheromone update strategy is proposed for the traditional ant colony algorithm. Through the improvement strategy, load balance scheduling algorithm of cloud computing resources based on ant colony algorithm is more in line with the characteristics and requirements of cloud computing. The experiment result shows that performance of load balancing degree and time efficiency of the proposed algorithm are better than the performance of genetic algorithm and traditional ant colony algorithm.