欢迎您！东篱公司
退出
-
申报数据库
-
立项数据库
-
成果数据库
-
项目获奖数据库
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.
同期刊论文项目
同项目期刊论文
期刊信息
位置：