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

世界上充斥着来自各种来源的大量数据。人类迫切需要表示、分析、查询、管理、理解和响应这些数据，以进行知识提取和决策。与Yahoo！与Hewlett-Packard合作，我们正在伊利诺伊大学（UIUC）创建一个实验测试床，即云计算测试床（CCT），用于使用分布式“云”计算资源的数据密集型应用程序，使研究人员能够通过处理数据来满足这一需求系统堆栈的各个级别，从网络、操作系统、虚拟机和分布式应用程序到Web。CCT的探索性质源于其对数据密集型云计算环境中系统和网络相关研究问题的关注。其他现有的或拟议的数据处理集群都集中在用户级应用程序上，因此必须保持一个稳定且相当严格的环境，而与CCT的拟议研究将深入到系统软件堆栈中，以探索新的和更好的方法，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，Web搜索，网络测量和多媒体。通过UIUC管理的申请程序，外部CISE研究人员也可以使用CCT。CCT将为学术界提供在多个研究领域进行数据密集型计算研究的机会（操作系统、虚拟机、分布式系统、数据挖掘、Web和在线社交网络），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而无法获得的资源。CCT为大型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。

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.