Towards Community Services: Putting Parallel Network Services On-line

标题：面向社区服务：将并行网络服务上线本项目将研究社区服务系统体系结构和运行时基础设施，需要支持这样的高端服务。 我们将关注两个关键的运行时性能问题：动态资源管理和伸缩。 动态资源管理允许：（i）资源被动态地（on-the-fly）分配给服务请求，（ii）资源经由协商被获取，以及（iii）资源跨服务域间被共享。 资源管理将基于性能估计技术，该技术将服务执行时间作为依赖输入和分配的资源的函数来学习。 我们将开发一组下一代工具和库，这些工具和库可以被运行在单站点集群和多站点网格中的社区服务所利用。 该工具集将通过将其应用于可视化，天文学和生物信息学领域的几个高端网络服务进行评估。

TITLE: Towards Community Services: Putting Parallel Network Services On-lineThis project will investigate a community service system architecture and run-time infrastructure needed to support such high-end services. We will focus on two key run-time issues for performance: dynamic resource management and scaling. Dynamic resource management allows: (i) resources to be {de-} allocated to service requests on-the-fly, (ii) resources to be acquired via negotiation, and (iii) resources to be shared across inter-service domains. Resource management will be based on a performance estimation technique that learns service execution time as function of dependent inputs and resources allocated. We will produce a set of next generation tools and libraries that can be leveraged by community services running in single-site clusters and in multi-site Grids. The toolset will be evaluated by applying it to several high-end network services in the area of visualization, astronomy, and bioinformatics.