n e Grid2003 Project has deployed a multi-virfual organization, application-driven grid laboratory ('"Grid3'7 that has sustained for several months the production-level services required by physics experiments of the Large Hadron Collider at CERN (ATLAS and CMS), the Sloan Digital Sky Survey project, the gravitational wave search experiment LIGO, the BTeV mperiment at Fermilab, as well as applications in molecular structure analysis and genome analysis, and computer science research projects in such areas as job and data scheduling. The deployed infiastmcture has been operating since Noisniber 2003 with 27 sites, apeak of 2800 processors, work loads fiom 10 different applications exceeding 1300 simultaneous jobs, and data transfers among sites of greater than 2 TBiday. We describe the principles that have guided the development of this unique infrastructure and the practical experiences that have resultedfiom its creation and use. We discuss application requirements for grid services deployment and con$guration. monitoring infiastnic fure, application performance, metrics. and operational experiences. We also summarize lessons learned.

Cyberinfrastructure is a word commonly used but lacking a single, precise definition. One recognizes intuitively the analogy with infrastructure, and the use of cyber to refer to thinking or computing -but what exactly is cyberinfrastructure as opposed to information technology infrastructure? Indiana University has developed one of the more widely cited definitions of cyberinfrastructure:Cyberinfrastructure consists of computing systems, data storage systems, advanced instruments and data repositories, visualization environments, and people, all linked together by software and high performance networks to improve research productivity and enable breakthroughs not otherwise possible.A second definition, more inclusive of scholarship generally and educational activities, has also been published and is useful in describing cyberinfrastructure:Cyberinfrastructure consists of computational systems, data and information management, advanced instruments, visualization environments, and people, all linked together by software and advanced networks to improve scholarly productivity and enable knowledge breakthroughs and discoveries not otherwise possible.In this paper, we describe the origin of the term cyberinfrastructure based on the history of the root word infrastructure, discuss several terms related to cyberinfrastructure, and provide several examples of cyberinfrastructure.

During the summer of 1902, while the writer was en--g a g e d in collecting ethnological material among the Absahrokee (Crow) Indians, of Montana, for the Field Columbian Museum, the following traditions of that tribe were gathered.All of the traditions were related, through a most competent interpreter, by the second oldest man of the tribe, known as Bull-that-goes-hunting.

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The Indiana University Data Capacitor wide area Lustre file system provides over 350 TB of short-to mid-term storage of large research data sets. It spans multiple geographically distributed compute, storage, and visualization resources. In order to effectively harness the power of these resources from various institutions, it has been necessary to develop software to keep ownership and permission data consistent across many client mounts. This paper describes the Data Capacitor's Lustre WAN service and the history, development, and implementation of IU's UID mapping scheme that enables Lustre WAN on the TeraGrid.