This paper proposes a dynamic cloud task allocation algorithm model which can equally allocate the cloud tasks into the cloud group servers and gives full consideration to the different cloud servers for different business abilities.The algorithm solves the load balance of the cloud servers and uses the CPU resources efficiently so that the user can obtain higher service efficiency and the effective management of the cloud cluster environment calculation and storage resources can be achieved.By simulation comparison analysis

the technique is proved to be effective

which can not only make full use of the system resources

but also realize the automatic regulation and load balancing of the resources.