With the degree of social information continues to improve

various forms of data expand rapidly.Hadoop distributed file system（ HDFS） has become a distributed file system solving mass data storage problem

and a copy of the technical is the key of cloud storage system. Present a copy selection strategy foundation on ant colony optimization algorithm based on initial pheromone screening（ Init Ph

A

CO） strategy

by combining genetic algorithm（ GA） and ant colony algorithm

link them dynamically and propose ant colony algorithm based on initial screening of pheromone. This algorithm not only overcome shortage of slow initial search of ant colony algorithm

and m

ake full use of fast stochastic global search capability of GA. Using cloud computing simulation tools Cloud Sim to verify the effect of this strategy

the results show that Init Ph

A

CO strategy are prior to the selection strategy replica ACO strategy algorithm and a copy of the selection strategy based on GA policy in three aspects of performance which are job execution time

response time and the copy of load balancing.