Trust-sensitive Resource Scheduling Optimization In The Cloud Environment

"Cloud computing resources" assembled a large amount of computing resources,software resources and storage resources on the Internet,but the problems that trust and frequent service scheduling are obstacles of the future development of cloud computing.To solve the resource optimization in cloud service scheduling.build up bonds of trust between cloud service providers and consumers is foundation of resources scheduling,and then,it is a reasonable allocation and scheduling optimization of resources among multi-users.For the dispatchers,the establishment of a trust-sensitive relationship between the cloud service provider and the consumers is the basic problem that the cloud computing needs to be solved at present.In this thesis,the trust problem of cloud computing is focused.The main contents of this thesis are the service trust evaluation model and decision method based on extension cloud,and the cloud resource scheduling method.Specific research work is as follows:Firstly,In order to solve the problem of trust between service entities in cloud computing environment,this thesis combines the thought of matter-element in extenics and the uncertainty of cloud model,take the advantages of qualitative and quantitative,put forward the extension of cloud service trust evaluation model,which realizes numerical implementation of qualitative and quantitative conversion of trust between entities.And then,this thesis proposes a method of evaluating the service trust based on the extended cloud,which enables the service entity to carry out the trust evaluation effectively and provide the trust decision.Secondly,aiming at resource scheduling problem in cloud computing environment,a custom fuzzy clustering cloud resource scheduling method based on trust sensitivity is proposed.the fuzzy resource clustering method is used to divide the cloud resource scheduling into user resource and task resource scheduling.In the cloud user resource scheduling,the cloud user and the cloud service provider are bound to reduce the scheduling cost.the trust sensitive mechanism task scheduling is to prevent the attack of malicious nodes or dishonest recommendation.According to the comprehensive performance,resources were divided into different classes and trust sensitive coefficient was been calculated in each class of task resources,the trust sensitive coefficient was employed to the matching of cloud resources and tasks.Finally,simulation experiment shouws the proposed scheduling optimization method not only reduces the cost of the cloud users to choose the cloud provider,butalso embodies the principle of the allocation resources on demand,and fully and effectively play the advantages of cloud resources,also improve the throughput of the entire cloud system and cloud user satisfaction.