NGS: A Framework for Dynamic Service Adaptation in the Grid

网格正朝着支持动态的、协作的、多学科的问题解决环境的方向发展，这种环境被称为虚拟组织（VO）。到目前为止，自适应性一直是以一种特殊的方式处理的，这导致了不能重用的特定于应用程序的解决方案。在这项建议中，提出了一个框架，暴露，利用和应对网格中的自适应性。这个框架的关键要素是定义的OGSA兼容的自适应网格服务类的高端服务常见的并行/分布式科学计算以及自适应资源提供商服务。为了简化自适应网格服务的实现，可重用的中间件将被设计为这个项目的一部分。这种下一代中间件解决了构建自适应服务所需的四个基本问题：（1）自适应服务接口，（2）动态性能预测，（3）自适应资源管理，以及（4）MPI的自适应运行时基础设施。提出了几种新的方法，包括算法动态选择性能估计以及选择资源管理策略。

Grids are evolving towards supporting a dynamic, collaborative, multidisciplenary problem-solving environment coined the virtual organization (VO). To date, adaptivity has been treated in an ad-hoc fashion leading to application-specific solutions that cannot be reused. In this proposal, a framework for exposing, exploiting, and coping with adaptivity in Grids is proposed. The key elements of this framework are the definition of OGSA-compliant adaptive Grid service classes for high-end services common to parallel/distributed scientific computing as well as adaptive resource provider services. To ease the implementation of adaptive Grid services, reusable middleware will be designed as part of this project. This next-generation middleware addresses four fundamental issues required to construct adaptive services: (1) adaptive service interfaces,(2) dynamic performance prediction,(3) adaptive resource management, and (4) adaptive run-time infrastructure for MPI. Several novel approaches are proposed including algorithms for dynamically selecting performance estimators as well as selecting resource management strategies.