会议专题

Research on Cloud Resource Optimization Model Based on Users Satisfaction

  An improved cloud resource revenue optimization models are proposed, which include the benefits of service providers and users negotiate SLA agreement.And the models define the constraint mechanism for describing service quality problems such as service response time and customer satisfaction.We design the comprehensive response indicator and use this indicator to quantify the rationality of the distribution of resources, which are the equilibrium between maximal revenue of cloud service providers and the quality of service for users.The parallel PSO-ACO algorithm based on MapReduce for distributed systems is presented to solve the above model, which represents the massive resource allocation optimization problem.The experiments are implemented to analyze the algorithm performance and task allocation strategy.And the experiments results show that the models and algorithms are robust and efficient.

cloud computing resource optimization PSO-ACO allocation strategy

Zhi-guang Ao Ke-ning Gao Ming-hai Jiao Xing-wei Wang

School of Computer Science and Engineering Northeastern University Shenyang, China

国际会议

The 13th Web Information Systems and Applications Conference(第十三届全国web信息系统及其应用学术会议)(WISA2016)、The 1st Symposium on Big Data Processing and Analysis)( BDPA 2016)第一届全国大数据处理与分析学术研讨会、The 1st Workshop on Information System Security)(ISS2016)(第一届全国信息系统安全研讨会

武汉

英文

99-102

2016-09-23(万方平台首次上网日期,不代表论文的发表时间)