SGER: Acquisition & Operation of an Experimental Testbed for System-Level Research to Support Data-Intensive Computing Applications

SGER：收购

• 批准号: 0841765
• 负责人: Michael Heath
• 金额: $ 20万
• 依托单位: University of Illinois at Urbana-Champaign
• 依托单位国家: 美国
• 项目类别: Standard Grant
• 财政年份: 2008
• 资助国家: 美国
• 起止时间: 2008-08-01 至 2010-07-31
• 项目状态: 已结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=0841765&HistoricalAwards=false
• 关键词: SGER; Acquisition; & Operation; Experimental

The world is populated with enormous amounts of data from a wide variety of sources. There is a compelling human need to represent, analyze, query, manage, understand, and respond to such data for knowledge extraction and decision making. In collaboration with Yahoo! and Hewlett-Packard, we are creating an experimental testbed, the Cloud Computing Testbed (CCT), at the University of Illinois (UIUC) for data-intensive applications using distributed "cloud" computational resources to enable researchers to address this need by processing data at various levels of the system stack, from network, operating system, virtual machines, and distributed applications to the Web. The exploratory nature of CCT results from its focus on systems and networking related research issues within a data-intensive cloud computing environment. Other existing or proposed data processing clusters are focused on user-level applications for which a stable and thus fairly rigid environment must be maintained, whereas the proposed research with the CCT will go deep into the system software stack to explore new and better ways to provide system-level support for data-intensive computing. The UIUC research efforts cover a breadth of research areas including networking, operating systems, virtual machines, distributed systems, data-mining, Web search, network measurements, and multimedia. Access to the CCT is also being made available to external CISE researchers by way of an application process administered by UIUC.The CCT will provide the academic community with the opportunity to do research in data-intensive computing spanning multiple research areas (OS, virtual machines, distributed systems, datamining, the Web, and online social networks), and in particular to explore powerful systems and networking research topics in a data-intensive environment. It will give the academic community access to resources that would otherwise be unavailable due to cost. The CCT is providing opportunities for multi-disciplinary research on large-scale, distributed computing projects. It is accelerating research for Internet-scale computing and will drive innovation for future systems.

世界上充斥着来自各种来源的海量数据。人类迫切需要表示、分析、查询、管理、理解和响应这些数据，以便进行知识提取和决策制定。与雅虎合作！我们正在伊利诺伊大学（UIUC）为使用分布式“云”计算资源的数据密集型应用程序创建一个实验测试平台，云计算测试平台（CCT），使研究人员能够通过处理从网络、操作系统、虚拟机和分布式应用程序到Web的不同级别的系统堆栈的数据来满足这一需求。CCT的探索性源于其对数据密集型云计算环境中的系统和网络相关研究问题的关注。其他现有的或建议的数据处理集群集中在用户级应用程序上，这些应用程序必须保持稳定和相当严格的环境，而CCT的建议研究将深入到系统软件堆栈中，探索新的和更好的方法来为数据密集型计算提供系统级支持。UIUC的研究工作涵盖了广泛的研究领域，包括网络、操作系统、虚拟机、分布式系统、数据挖掘、网络搜索、网络测量和多媒体。通过UIUC管理的申请流程，外部CISE研究人员也可以访问CCT。CCT将为学术界提供跨多个研究领域（操作系统、虚拟机、分布式系统、数据挖掘、网络和在线社交网络）进行数据密集型计算研究的机会，特别是在数据密集型环境中探索强大的系统和网络研究主题。它将使学术界能够获得由于成本原因而无法获得的资源。CCT为大规模分布式计算项目的多学科研究提供了机会。它正在加速互联网规模计算的研究，并将推动未来系统的创新。