Grid Computing: Making the Global Infrastructure a Reality

Grid computing is applying the resources of many computers in a network to a single problem at the same time Grid computing appears to be a promising trend for three reasons: (1) Its ability to make more cost-effective use of a given amount of computer resources, (2) As a way to solve problems that can't be approached without an enormous amount of computing power (3) Because it suggests that the resources of many computers can be cooperatively and perhaps synergistically harnessed and managed as a collaboration toward a common objective. A number of corporations, professional groups, university consortiums, and other groups have developed or are developing frameworks and software for managing grid computing projects. The European Community (EU) is sponsoring a project for a grid for high-energy physics, earth observation, and biology applications. In the United States, the National Technology Grid is prototyping a computational grid for infrastructure and an access grid for people. Sun Microsystems offers Grid Engine software. Described as a distributed resource management tool, Grid Engine allows engineers at companies like Sony and Synopsys to pool the computer cycles on up to 80 workstations at a time. * "the Grid" is a very hot topic generating broad interest from research and industry (e.g. IBM, Platform, Avaki, Entropia, Sun, HP) * Grid architecture enables very popular e-Science projects like the Genome project which demand global interaction and networking * In recent surveys over 50% of Chief Information Officers are expected to use Grid technology this year Grid Computing: * Features contributions from the major players in the field * Covers all aspects of grid technology from motivation to applications * Provides an extensive state-of-the-art guide in grid computing This is essential reading for researchers in Computing and Engineering, physicists, statisticians, engineers and mathematicians and IT policy makers.

Table of Contents:
Overview of the Book: Grid Computing – Making the Global Infrastructure a Reality (F. Berman, et al.). The Grid: Past, Present, Future (F. Berman, et al.). The Grid: A New Infrastructure for 21st Century Science (I. Foster). The Evolution of the Grid (D. De Roure, et al.). Software Infrastructure for the I-WAY High-prformance Distributed Computing Experiment (Foster, et al.). Implementing Production Grids (W. Johnston). The Anatomy of the Grid (I. Foster, et al.). Rationale for Choosing the Open Grid Services Architecture (M. Atkinson). The Physiology of the Grid (I. Foster, et al.). Grid Web Services and Application Factories (D. Gannon, et al.). From Legion to Avaki: The Persistence of Vision (A. Grimshaw, et al.). Condor and the Grid (D. Thain, et al.). Architecture of a Commercial Enterprise Desktop Grid: The Entropia System (A. Chien). Autonomic Computing and Grid (P. Pattnaik, et al.). Databases and the Grid (P. Watson). The Open Grid Services Architecture, and Data Grids (P. Kunszt & L. Guy). Virtualization Services for Data Grids (R. Moore & C. Baru). The Semantic Grid: A Future e-Science Infrastructure (D. De Roure, et al.). Peer-to-Peer Grids (G. Fox, et al.). Peer-to-Peer Grid Databases for Web Service Discovery (W. Hoschek). Overview of Grid Computing Environments (G. Fox, et al.). Grid Programming Models: Current Tools, Issues and Directions (C. Lee & D. Talia). NaradaBrokering: An Event-based Infrastructure for Building Scalable Durable Peer-to-Peer Grids (G. Fox & S. Pallickara). Classifying and Enabling Grid Applications (G. Allen, et al.). NetSolve: Past, Present, and Future – A Look at a Grid Enabled Server (S. Agrawal, et al.). Ninf-G: a GridRPC System on the Globus Toolkit (H. Nakada, et al.). Commodity Grid Kits - Middleware for building Grid Computing Environments (G. von Laszewski, et al.). The Grid Portal Development Kit (J. Novotny). Building Grid Computing Portals: The NPACI Grid Portal Toolkit (M. Thomas & J. Boisseau). Unicore and the Open Grid Services Architecture (D. Snelling). Distributed Object-based Grid Computing Environments (T. Haupt & M. Pierce). DISCOVER: a Computational Collaboratory for Interactive Grid Applications (V. Mann & M. Parashar). Grid Resource Allocation and Control using Computational Economies (R. Wolski, et al.). Parameter Sweeps on the Grid with APST (H. Casanova & F. Berman). Storage Manager and File Transfer Web Services (W. Watson, et al.). Application Overview for the Book: Grid Computing – Making the Global Infrastructure a Reality (F. Berman, et al.). The Data Deluge: An e-Science Perspective (T. Hey & A. Trefethen). Metacomputing (L. Smarr & C. Catlett). Grids and the Virtual Observatory (R. Williams). Data-intensive Grids for High-energy Physics (J. Bunn & H. Newman). The New Biology and the Grid (K. Baldridge & P. Bourne). eDiamond: a Grid-enabled Federated Database of Annotated Mammograms (M. Brady, et al.). Combinatorial Chemistry and the Grid (J. Frey, et al.). Education and the Enterprise with the Grid (G. Fox). Index. Views of the Grid. Indirect Glossary. List of Grid Projects.