CAREER: Middleware and Programming Technology for Grid Computing

因此，本研究的目标是开发模块化中间件和编程技术，以解决网格计算的这些挑战：分散的协调、资源优化和可编程性。项目将在以下方面进行研究：(1)它将提供高效的、高度可定制的（易于编程的）分散的普适信息、计算服务和代理的协调；(2)它将研究在计算和通信能力方面异构的物理和计算代理的使用；(3)它将充分探索考虑到网格环境动态性质的资源优化技术，在网格环境中，节点可以任意加入和离开；(4)它将应用已开发的技术和软件来解决大规模和开放网格计算环境中的科学问题。所提出的中间件将通过高效的点对点通信协议实现分散协调，通过工作窃取和静态和动态程序分析实现全局资源优化，通过高度表达的编程和协调抽象实现可编程性，并使网格计算技术更容易和更有效地适用于解决在可伸缩的高性能计算或网格计算环境中执行的复杂科学问题。该项目还包括一个全面的综合教育和推广计划，例如在特洛伊少年博物馆举办一个特别展览，向来自低收入少数群体社区的大学预科学生介绍高性能计算，创建一个动手实验室，开展网格计算、开源软件开发工作，以及为本科生和研究生开发有关互联网上分布式计算的课程。

The goal of this research is therefore to develop modular middleware and programming technology to address these challenges of grid computing: decentralized coordination, resource optimization, and programmability.The project will pursue research in the following: (1) it will provide efficient highly-customizable (easily programmable) decentralized coordination of pervasive information and computational services and agents, (2) it will investigate the use of physical and computational agents that are heterogeneous, both in terms of computation and communication capabilities, (3) it will fully explore resource optimization techniques considering the dynamic nature of grid environments, in which nodes can arbitrarily join and leave, and (4) it will apply developed techniques and software to scientific problems in large-scale and open grid computing environments. The proposed middleware will achieve decentralized coordination through efficient peer-to-peer communication protocols, global resource optimization through work-stealing and static and dynamic program analyses, and programmability through highly expressive programming and coordination abstractions and enabling easier and more effective applicability of grid computing technology to solve complex scientific problems executing on scalable high-performance computing or grid computing environments. The project also includes a comprehensive integrated education and outreach plan, such as the development of a special exhibit at the Troy Junior Museum to introduce high-performance computing to pre-college students from a largely low-income minority community, and the creation of a hands-on laboratory for grid computing, open source software development efforts, and curricular development of undergraduate and graduate courses on distributed computing over the Internet.