Grid Computing - Making the Global Infrastructure a Reality

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

• 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.

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).