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
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）