中文摘要：

为在云计算平台上实现大数据的高效并行处理与访问,针对动态增长的异构资源所具有的集成与共享所形成的超强计算力结合网格计算,从基于服务计算的角度分析了云计算与网格计算2个不同框架体系的集成问题,探讨了一种资源与服务的统一描述机制,提出了云格体系下的一种分组生成树的P2P网络动态资源与服务发现算法,可实现海量数据的高效处理与访问.实验表明该算法具有一定的可行性与针对性.

英文摘要：

In order to implement big data parallel access with high efficiency on cloud platform, this paper focus on the super compute power on grid computing of its dynamic increasing and heterogeneous resources. From the view of service computing, the problem of integration between grid computing and cloud computing is analysed. A mecha- nism for uniform description is discussed. A discovery algorithm for dynamic resources and services based on a grouping spanning tree under GLOUD to implement the massive data access with high efficiency is investigated. Experiment shows that the algorithm is available and pertinently.