Grid Computing: Making the Global Infrastructure a Reality

Grid Computing: Making the Global Infrastructure a Reality

Editor(s): Fran Berman, Geoffrey Fox, Tony Hey

Published Online: 30 MAY 2003

Print ISBN: 9780470853191

Online ISBN: 9780470867167

DOI: 10.1002/0470867167

Series Editor(s): David Hutchison

About this Book

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

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  1. Part A: Overview and Motivation

    1. Chapter 3

      The Evolution of the Grid (pages 65–100)

      David De Roure, Mark A. Baker, Nicholas R. Jennings and Nigel R. Shadbolt

  2. Part B: Grid Architecture and Technologies

    1. Chapter 6

      The Anatomy of the Grid (pages 169–197)

      Ian Foster, Carl Kesselman and Steven Tuecke

    2. Chapter 8

      The Physiology of the Grid (pages 217–249)

      Ian Foster, Carl Kesselman, Jeffrey M. Nick and Steven Tuecke

    3. Chapter 9

      Grid Web Services and Application Factories (pages 251–264)

      Dennis Gannon, Rachana Ananthakrishnan, Sriram Krishnan, Madhusudhan Govindaraju, Lavanya Ramakrishnan and Aleksander Slominski

    4. Chapter 10

      From Legion to Avaki: The Persistence of Vision (pages 265–298)

      Andrew S. Grimshaw, Anand Natrajan, Marty A. Humphrey, Michael J. Lewis, Anh Nguyen-Tuong, John F. Karpovich, Mark M. Morgan and Adam J. Ferrari

    5. Chapter 11

      Condor and the Grid (pages 299–335)

      Douglas Thain, Todd Tannenbaum and Miron Livny

    6. Chapter 13

      Autonomic Computing and Grid (pages 351–361)

      Pratap Pattnaik, Kattamuri Ekanadham and Joefon Jann

    7. Chapter 18

      Peer-To-Peer Grids (pages 471–490)

      Geoffrey Fox, Dennis Gannon, Sung-Hoon Ko, Sangmi Lee, Shrideep Pallickara, Marlon Pierce, Xiaohong Qiu, Xi Rao, Ahmet Uyar, Minjun Wang and Wenjun Wu

  3. Part C: Grid Computing Environments

    1. Chapter 23

      Classifying and Enabling Grid Applications (pages 601–614)

      Gabrielle Allen, Tom Goodale, Michael Russell, Edward Seidel and John Shalf

    2. Chapter 25

      Ninf-G: A GridRPC System on the Globus Toolkit (pages 625–637)

      Hidemoto Nakada, Yoshio Tanaka, Satoshi Matsuoka and Satoshi Sekiguchi

  4. Part D: Grid Applications

    1. Chapter 37

      Metacomputing (pages 825–835)

      Larry Smarr and Charles E. Catlett

    2. Chapter 41

      eDiamond: A Grid-Enabled Federated Database of Annotated Mammograms (pages 923–943)

      Michael Brady, David Gavaghan, Andrew Simpson, Miguel Mulet Parada and Ralph Highnam

    3. Chapter 42

      Combinatorial Chemistry and the Grid (pages 945–962)

      Jeremy G. Frey, Mark Bradley, Jonathan W. Essex, Michael B. Hursthouse, Susan M. Lewis, Michael M. Luck, Luc Moreau, David C. De Roure, Mike Surridge and Alan H. Welsh

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