Abstract
Cloud platform is a basic platform to support large data, large-scale and high-frequency access computing. The high-energy consumption of the cloud platform and the schedule of multi-constrained combination in cloud applications is challenging issues faced by the cloud computing. We conducted a systematic review in this paper for the energy consumption of a cloud platform, and pointed out the existing problems, and put forward ideas to solve the above problems by constructing the four-level system. Firstly, by conducting virtualization management to the physical resources in the cloud to form the layer of virtual resource. Then, named as presentation layer, to build a formal model of cloud application multi_attribute with effective description, measurement, calculation. Based on this proposed scheduling application layer enables cloud applications to meet the multiple objectives with multi-attribute, heuristic, feedback, iterative scheduling and cloud resources, energy optimization. It laid the foundation for the formation of cloud platform architecture, key technologies and algorithms, which satisfy the multiple objectives: the maximum possible scheduling of the multi-attribute combination constraint application, the optimization for energy consumption and resources in cloud computing.
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