Research On The Performance Optimization Of Security Storage Area Network Based On Cooperative Games

The security mechanism of individual or groups as the central node can't use the association among the different types of nodes in the storage area network,which lacks the mechanism of the optimization of security protection and reduces the cost of the time and space.It results in the large cost and the low efficiency that impacts the performance of the system seriously when dealing with the assignments.At present,to enhance the performance only using a single node to calculate the distribution in the security storage area networks,so many key issues remain unresolved.This article focuses on the collaborations among the nodes in the security storage area network.Therefore,the cooperative game theory becomes an important way to solve the collaborations.The concrete works of this dissertation can be summarized as follow:First of all,from the perspective of enhancing the efficiency of security detection, and reducing the holes and redundant detectors,we propose an interval detector denereting algorithm based on numerical form.And this algorithm is used to detect the security in the storage area networks.That is to say,we form the security storage area network by loading a novel security module.In order to improve the management of the task performance in the security storage area,how to motivate the system to maximize the interests of the different entities belonging to the self-nodes and how to optimize the accuracy of detection become the issues of this paper.Firstly,we describe how to form a coalition in the security storage area by cooperative game,and we discuss the distribution of the tasks after forming the coalition.In the collaboration,an individual node is regarded as a self interest entity,and it has its own utility function to evaluate the performance of its own.In order to achieve the stable and fair coalition,we use the formula of Shapley value for the distribution of tasks.In accordance with the ability of the mature detectors,the security modules take the different strategy for detecting the illegal request in the system.Finally,we analyzed the feasibility of the performance optimization of the security storage area network from two aspects by experiments.The results prove that: firstly,loading the security module which is more efficiency has little effect with original system.Secondly,the cooperative game theory enables the resources of the system fully utilized,and the tasks of the security detection can be decomposed reasonablely.The performance of the security cost is optimized,so the efficiency of the system is improved obviously.Eventually,we achieve the high performance security storage area network.