STCI: Integrated Resource Provisioning Across the National Cyberinfrastructure in Support of Scientific Workloads

这项提案将使用2009年《美国复苏和再投资法案》(公法111-5)提供的资金授予，并符合2009年3月20日题为《确保负责任地使用复苏法案资金》的白宫备忘录第2节规定的要求。该项目的目标是？STCI：整个国家网络基础设施的集成资源提供，以支持科学工作负荷？是开发一个资源供应系统，该系统将为美国的两个国家网络基础设施(OSG和TeraGrid)提供通用的工作界面。该系统将提供先验和动态预配置功能，其中可以在应用程序执行之前显式预留资源，以及在应用程序作业进入作业管理系统时隐式预留资源。将通过与该系统整合的监测解决方案跟踪此类供应战略的效果。这项工作还将把资源调配功能扩展到虚拟环境，例如由商业和科学云提供的环境。作为这项工作的一部分，还将提供服务管理能力。智能优点建议的系统将提供强大和可扩展的资源配置能力，将连接不同的、分布式的网络基础设施，使具有不同计算需求的科学家更容易有效地利用可用的计算能力，提高他们的整体生产率。集成系统还通过在资源可用时占用资源，在不再需要时释放资源来实现计算资源的高效使用。Broader Impact集成和扩展的系统将支持科学领域中的广泛应用，从由相互依赖的任务组成的工作流到由大量独立作业组成的应用，再到松散耦合的并行应用。除了目前的用户外，建议的系统还可以被天文学、引力波物理、核聚变和许多其他领域的应用所利用。

This proposal will be awarded using funds made available by the American Recovery and Reinvestment Act of 2009 (Public Law 111-5), and meets the requirements established in Section 2 of the White House Memorandum entitled, Ensuring Responsible Spending of Recovery Act Funds, dated March 20, 2009.The goal of the project ?STCI: Integrated Resource Provisioning Across the National Cyberinfrastructure in Support of Scientific Workloads? is to develop a resource provisioning system that will provide a common job interface to the two national cyberinfrastructures in the US (OSG and the TeraGrid). The system will provide both a priori and dynamic provisioning capabilities, where resources can be reserved explicitly before application execution as well as implicitly as the application jobs enter the job management system. The effects of such provisioning strategies will be tracked via monitoring solutions integrated with the system. This work will also extend the provisioning capabilities to virtual environments such as those delivered by commercial and science clouds. Service administration capabilities will also be provided as part of this work. Intellectual Merit The proposed system will provide a robust and scalable resource provisioning capability that will bridge heterogeneous, distributed cyberinfrastructures, making it easier for scientists with diverse computational requirements to efficiently leverage the available computing power and improve their overall productivity. Efficient use of computational resources is also achieved by the integrated system by occupying resources as they become available and releasing those resources when they are no longer needed.Broader Impact The integrated and extended system will support a broad spectrum of applications in the scientific domain ranging from workflows composed of interdependent tasks to applications composed of a large number of independent jobs to loosely coupled parallel applications. In addition to the current users, the proposed system can be leveraged by applications in astronomy, gravitational-wave physics, fusion, and many others.