中文摘要：

针对大数据背景下的云联盟数据资源多服务问题,提出基于Agent的云联盟数据资源服务体系结构,在分析云联盟数据资源服务特征及组合流程的基础上,从任务请求过量和强QoS约束两种组合情形出发,构建了云联盟数据资源服务组合模型,并采用量子多目标进化算法进行求解。通过仿真实验,证明了模型及算法的可行性与有效性。

英文摘要：

To cope with multi-server oriented cloud computing federation problem in big data background, a cloud computing federation resource service system structure based on Agent was put forward. Through analyzing the characteristics and process of cloud computing federation data resource service, a service composition optimization model was established from the perspective of services shortage relative to tasks and service Qos constrains on tasks, and the quantum multi-objective evolutionary algorithm was adopted to solve this model. Simulation experiments results showed the feasibility and effectiveness of proposed model and algorithm.