This paper will explore the key factors affecting the resource allocation performance; reveal the essential relationship among CPU dynamic power consumption, resources computing capacity, resources supply voltage strategy, the amount of resources, supply voltage, and the frequency of CPU; and solve the huge energy consumption problem and the poor performance of load balancing in the process of resource allocation. The issues include: design and analysis of the key technology of resource allocation in cloud computing environment; combined with time span, load balancing and energy optimization, design of multi-objective optimization model for resource allocation and heuristic resource allocation algorithm. This research has important significance for further study on resource allocation and energy optimization in cloud computing environment.

The issues include:design and analysis of the key technology of resource allocation in cloud computing environment; combined with time span, load balancing and energy optimization; design of multi-objective optimization model for resource allocation and heuristic resource allocation algorithm; designing the experimental platform of resource allocation algorithm, energy optimization and performance analysis; obtain original achievements in scientific research ,for the resource allocation method based on immune algorithm and energy optimization in cloud computing to provide innovative ideas and scientific basis. This research has an important significance for further study on resource allocation and energy optimization in cloud computing environment.