Abstract: Task scheduling is an important issue for cloud computing research. Based on detailedly quantitative analysis of the environment and task of cloud computing, this article proposes an improved particle swarm scheduling algorithm, focuses on task completion time and load balancing to optimize task scheduling in cloud computing. The experiments show that the algorithm is of better performance, not only makes the task completion time efficient, but also effectively considers load balancing, achieves a certain effect.

Key words: cloud computing, task scheduling, particle swarm algorithm, load balancing