CISE RR: Collaborative Research on Wide-area Network Computing using Virtual Machines

EIA 02- 24449 Dinda，Peter A.Banerjee，Prithviraj; Kao，Ming-Yang西北大学CISE RR：利用虚拟机进行广域网计算的合作研究（与佛罗里达大学的Fortes合作，提案02-24442），需要一个广域测试床，该测试床能够在独特的资源上实验、访问和运行应用程序，请求PC集群，一台IBM服务器和其他辅助硬件，用于1.分布式网格计算和信息处理系统采用虚拟化技术和2。具有真实的用户的信息网格和需要虚拟机（VM）支持的研究应用。部署基于通过局域网、城域网和广域网连接的集群的分布式系统，该工作旨在为访问底层“信息网格”上的资源的客户端提供虚拟计算和数据存储接口。“测试台包括以下定义功能。1.虚拟化功能，即，能够实例化独立的逻辑机器，这些逻辑机器可以在物理处理器（或它们的一部分）、存储和网络I/O通道上多路复用，并且可以使用不同的操作系统;2.广域分布，即，互联网连接的测试床组件在独立管理的地理上分开的网络域;3.科学计算和信息处理的可扩展能力;异构性。测试床支持的旨在为网格计算开发基于VM的中间件的相关项目包括虚拟化终端资源、监控和预测、交互式计算、虚拟文件系统、数据管理、循环销售和安全性。基础设施还为使用CAD工具的信息网格和门户网站提供了支持，以传播合作研究成果和数据，并提供数字政府服务。从门户网站和网格计算资源的可用性的好处，预计在脑机接口，生物启发的纳米计算，基于拍卖的计算，分布式知识应用，医学成像和数据归档，光散射光谱，混合非线性优化。合作包括Sigmicro微架构中心，NETCARE和Purdue托管的Nanohub（使用户能够运行计算机架构和并行计算以及纳米电子的工具）。该项目影响了一些少数民族服务机构，如芝加哥州立大学和佛罗里达A M大学，并为涉及卡内基梅隆大学，伯利兹大学，科罗拉多大学，佛罗里达大学，马萨诸塞州大学和多米尼加共和国天主教马德雷和马埃斯特拉大学的跨国数字政府项目提供了试验平台。

EIA 02-24449Dinda, Peter A.Banerjee, Prithviraj; Kao, Ming-YangNorthwestern UniversityCISE RR: Collaborative Research on Wide-Area Network Computing Using Virtual MachinesThis collaborative research project (with Fortes at University of Florida, proposal 02-24442), requiring a wide-area test bed that enables experimentation with, access to, and running of applications on unique resources, requests PC clusters, an IBM server, and other ancillary hardware for projects in1. Distributed grid computing and information processing systems using virtualization technologies and2. Information grids with real users and research applications requiring capabilities enabled by virtual machines (VMs).Deploying a distributed system based on clusters connected by local, metropolitan, and wide area networks, the work aims to provide a virtual computing and data storage interface to clients that access resources on the underlying "information grid." The test bed includes the following defining features.1. Virtualization capabilities, i.e., the ability to instantiate independent logical machines that can be multiplexed on physical processors (or fractions of them), storage and network I/O channels, and can use distinct operating systems;2. Wide-area distribution, i.e., Internet-linked test bed components in independently-administered geographically-apart network domains;3. Scalable capacity for both scientific computing and information processing; and4. Heterogeneity.Interrelated projects enabled by the test bed towards the goal of developing VM-based middleware for grid computing include virtualized end resources, monitoring and prediction, interactive computing, virtual file systems, data management, cycle selling, and security. Information grids and web portals for use of CAD tools are also enabled by the infrastructure for dissemination of collaborative research results and data, and for digital government services. From the availability of the portals and grid-computing resources benefits are expected in brain-machine interfaces, biologically-inspired nanocomputing, auction-based computing, distributed knowledge applications, medical imaging and data archiving, light-scattering spectroscopy, and mixed non-linear optimization. Collaborations include the Sigmicro microarchitecture center, NETCARE and the Purdue-hosted Nanohub (enabling users to run tools for computer architecture and parallel computing, and nanoelectrnics). The project impacts some minority serving institutions such as Chicago State and Florida A& M Universities and enables a testbed for a transnational digital government projects involving Carnegie Mellon University, University of Belize, University of Colorado, University of Florida, University of Massachusetts, and Pontificia Universidad Catolica Madre y Maestra of the Dominican Republic.