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

该提案将使用2009年美国复苏和再投资法案（公法111-5）提供的资金进行奖励，并符合2009年3月20日白宫备忘录第2节中规定的要求，该备忘录题为“确保复苏法案资金的负责任支出”。STCI：支持科学工作量的国家网络基础设施的综合资源供应？开发一个资源供应系统，为美国的两个国家网络基础设施（OSG和TeraGrid）提供一个通用的工作接口。该系统将提供先验和动态供应能力，其中资源可以在应用程序执行之前显式地保留以及在应用程序作业进入作业管理系统时隐式地保留。将通过与系统集成的监测解决方案来跟踪这种供应战略的效果。这项工作还将把配置功能扩展到虚拟环境，例如商业云和科学云提供的虚拟环境。 作为这项工作的一部分，还将提供服务管理能力。 拟议的系统将提供一个强大的和可扩展的资源供应能力，将桥梁异构，分布式网络基础设施，使科学家更容易与不同的计算需求，以有效地利用现有的计算能力，提高他们的整体生产力。集成系统还通过在资源可用时占用资源并在不再需要时释放这些资源来实现计算资源的有效利用。更广泛的影响集成和扩展的系统将支持科学领域的广泛应用，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程序，再到松散耦合的并行应用程序。除了目前的用户，该系统还可以用于天文学、引力波物理学、聚变等领域。

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.