Task scheduling algorithm in cloud storage system using PSO withlimited solution domain
限制解空间的PSO云存储任务调度算法

This paper studied the task scheduling of the cloud storage system. Firstly, it analyzed the differences between the cloud storage and the cloud computing, and pointed out the existing PSO based task scheduling algorithm of cloud computing could not ensure the solution was meaningful to cloud storage, namely some solve may ask nodes offer data that they didn't have. In order to address these problems, the existing PSO based scheduling algorithm was improved by limiting the initialization solution and the solution search space in the exist solution space which could ensure solves were meaningful. The simulation results show that the algorithm can save 77% iteration times and also save about 4 times execution time and offer meaningful solutions for cloud storage system.