云环境下副本优化放置策略研究.

In order to improve the efficiency of data scheduling and replica access in cloud computing, this paper studied the replica placement problem in replica strategy and proposed a replica placement strategy based on ant colony algorithm. According to the principle of ant colony foraging in nature, the strategy applied ant colony algorithm to the entire process of replica placement. It used the pheromone dynamic updating and Laplace probability distribution to improve the ant colony algorithm, obtained a set of optimal solutions for replica placement. Simulation was on the CloudSim platform. The experimental results show that the proposed scheme is superior to the original ant colony algorithm in average job completion time, network utilization and load balance, and reduces the copy placement time consumption and network load to a certain extent. [ABSTRACT FROM AUTHOR]