NGS: Collaborative Research: Performance Driven Adaptive Software Design and Control

rajive bagrodia加州大学洛杉矶分校该项目的目标是开发运行在分布式计算系统上的复杂应用程序的性能导向集成设计和控制所需的工具。它的目标计算系统是复杂的，包含困难的异构性、延迟和计算网格的自适应特性。它的目标应用程序处于计算科学的前沿：具有自适应特性的非常大、复杂的应用程序，这些应用程序不允许在运行前估计其最佳系统配置或计算需求。每个应用程序将被视为组件的组合，并为每个组件设计一个正式的、高保真的性能模型。方法是使用基于模型的自适应运行时控制（基于这些组合的性能模型）来控制应用程序的执行，以满足指定的性能目标。该控制策略将实时改变参数，从而改变应用程序和计算平台的行为。

EIA: 0103764Rajive BagrodiaUniversity of California-Los AngelesThe goal of this project is to develop the tools needed for performance-directed integrated design and control of complex applications running on distributed computational systems. Its target computational systems are complex, incorporating the difficult heterogeneity, latency, and adaptive properties of computational grids. Its target applications are at the cutting edge of computational science: very large, complex applications with adaptive characteristics that do not allow their optimal system configurations or computational requirements to be estimated prior to run time. Each application will be viewed as a composition of components, with a formal, high fidelity model of performance to be designed for each component. The approach is to use model-based adaptive run-time control, based on these composed performance models, to control the execution of the application to meet specified performance goals. The control strategy will make real-time changes to parameters that modify the behavior of both application and computational platform.