A Novel Resource Scheduling Model for Cloud Data Center based on Game Analysis and Optimization Theory

In this paper, we propose the novel resource scheduling model for the cloud data center based on game analysis and optimization theory. In order to make the data center are in a leading position in the competition in the computer network, the quality of the network connection is to maintain the high quality of the basic elements of the data center. Considering that the data center to collect all the key data, and the effective integration of all kinds of the data resources, structures open information resources sharing platform, the decision-making for the government and the social public to provide real-time and efficient data services. In our model, the game analysis and primary optimization theory are applied into the model for the global enhancement. In this paper, we based on the game theory, break the traditional network due to hierarchical structure led to the level of interaction between a static and the independent of the shortcomings of the physical layer and link layer cross-layer, through information between the layers Bayesian game-based network model between shared building nodes. The real-world performance is proved through the simulation compared with the other latest methodologies.