Over the past several years there have been a number of projects aimed at building ‘production’ Grids. These Grids are intended to provide identified user communities with a rich, stable, and standard distributed computing environment. By ‘standard’ and ‘Grids’, we specifically mean Grids based on the common practice and standards coming out of the Global Grid Forum (GGF) (). | 5 Implementing production Grids William E. Johnston 1 The NASA IPG Engineering Team 2 and The DOE Science Grid Team3 1 Lawrence Berkeley National Laboratory Berkeley California United States 2NASA Ames Research Center and NASA Glenn Research Center 3Lawrence Berkeley National Lab Argonne National Lab National Energy Research Scientific Computing Center Oak Ridge National Lab and Pacific Northwest National Lab INTRODUCTION LESSONS LEARNED FOR BUILDING LARGE-SCALE GRIDS Over the past several years there have been a number of projects aimed at building production Grids. These Grids are intended to provide identified user communities with a rich stable and standard distributed computing environment. By standard and Grids we specifically mean Grids based on the common practice and standards coming out of the Global Grid Forum GGF . There are a number of projects around the world that are in various stages of putting together production Grids that are intended to provide this sort of persistent cyber infrastructure for science. Among these are the UK e-Science program 1 the European DataGrid 2 NASA s Information Power Grid 3 several Grids under the umbrella of Grid Computing - Making the Global Infrastructure a Reality. Edited by F. Berman A. Hey and G. Fox 2003 John Wiley Sons Ltd ISBN 0-470-85319-0 118 WILLIAM E. JOHNSTON THE NASA IPG ENGINEERING TEAM AND THE DOE SCIENCE GRID TEAM the DOE Science Grid 4 and at a somewhat earlier stage of development the Asia Pacific Grid 5 . In addition to these basic Grid infrastructure projects there are a number of well-advanced projects aimed at providing the types of higher-level Grid services that will be used directly by the scientific community. These include for example Ninf a network-based information library for global worldwide computing infrastructure 6 7 and GridLab 8 . This chapter however addresses the specific and actual experiences gained in building NASA s IPG and DOE s Science Grids both of .
