Multi-objective Genetic Algorithm Based Local Optimal Sensing Method for Resource Scheduling Failure in Cloud Service System
Aiming at the current problems of poor perception effect,reliability and sensitivity of resource scheduling failure,a local optimal perception method of resource scheduling failure in cloud service system based on multi-objective genetic algorithm is proposed.Combined with multi-objective genetic algorithm,through the identification of failure characteristics of re-source scheduling,the identification method of failure characteristics of resource scheduling is optimized,trusted cloud computing resources arc extracted,and the classification of resource failure characteristics is identified and screened,And locate the local scheduling failure re-sources,build a local optimal model of resource scheduling failure in cloud service system,and solve the location rules of the local scheduling failure area of cloud resources.Experimental re-sults show that this method has high reliability and sensitivity to ensure the effectiveness of the perceived results of resource scheduling failure in cloud service system.
multi-objective genetic algorithmCloud service systemResource schedulingLo-cal optimal perception
万方数据
维普
