Grid Computing: Making The Global Infrastructure a Reality

Fran Berman , Geoffrey Fox , Tony Hey

Grid Computing: Making The Global Infrastructure a Reality
  • 出版商: Wiley
  • 出版日期: 2003-04-18
  • 售價: $2,200
  • 貴賓價: 9.8 折 $2,156
  • 語言: 英文
  • 頁數: 1060
  • 裝訂: Hardcover
  • ISBN: 0470853190
  • ISBN-13: 9780470853191
  • 相關分類: 大數據 Big-data、雲端運算

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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.

    • 商品描述(中文翻譯)

    網格計算是將網絡中的多台計算機資源同時應用於解決單一問題的技術。網格計算有三個有前景的原因：(1) 它能更有效地利用計算機資源，降低成本；(2) 它能解決需要大量計算能力才能解決的問題；(3) 它提出了多台計算機資源可以合作並協同管理，以實現共同目標的概念。

    許多公司、專業團體、大學聯盟和其他組織已經或正在開發用於管理網格計算項目的框架和軟件。歐洲共同體（EU）贊助了一個用於高能物理、地球觀測和生物學應用的網格計算項目。在美國，國家技術網格正在為基礎設施和人員提供計算網格的原型。Sun Microsystems提供了Grid Engine軟件，它被描述為一個分佈式資源管理工具，允許像Sony和Synopsys這樣的公司在最多80台工作站上共享計算資源。

    網格計算是一個熱門話題，引起了研究和工業界的廣泛關注（例如IBM、Platform、Avaki、Entropia、Sun、HP）。網格架構使得像基因組計劃這樣需要全球互動和網絡的e-Science項目成為可能。根據最近的調查，超過50%的首席信息官預計在今年使用網格技術。

    《網格計算》這本書涵蓋了該領域的主要參與者的貢獻，從動機到應用的各個方面都有所介紹。它提供了一個廣泛的網格計算現狀指南，對於計算和工程研究人員、物理學家、統計學家、工程師、數學家和IT政策制定者來說，這是必讀之書。

    《網格計算》的目錄如下：

    - 本書概述：網格計算-實現全球基礎設施的現實（F. Berman等人）
    - 網格：過去、現在、未來（F. Berman等人）
    - 網格：21世紀科學的新基礎設施（I. Foster）
    - 網格的演變（D. De Roure等人）
    - I-WAY高性能分佈式計算實驗的軟件基礎設施（Foster等人）
    - 實施生產網格（W. Johnston）
    - 網格的解剖（I. Foster等人）
    - 選擇開放網格服務架構的理由（M. Atkinson）
    - 網格的生理學（I. Foster等人）
    - 網格Web服務和應用工廠（D. Gannon等人）
    - 從Legion到Avaki：願景的持續（A. Grimshaw等人）
    - Condor和網格（D. Thain等人）
    - 商業企業桌面網格的架構：Entropia系統（A. Chien）
    - 自主計算和網格（P. Pattnaik等人）
    - 數據庫和網格（P. Watson）
    - 開放網格服務架構和數據網格（P. Kunszt和L. Guy）
    - 數據網格的虛擬化服務（R. Moore和C. Baru）
    - 語義網格：未來的e-Science基礎設施（D. De Roure等人）
    - 點對點網格（G. Fox等人）
    - 用於Web服務發現的點對點網格數據庫（W. Hoschek）
    - 網格計算環境概述（G. Fox等人）
    - 網格編程模型：當前工具、問題和方向（C. Lee和D. Talia）
    - NaradaBrokering：用於構建可擴展持久點對點網格的基於事件的基礎設施（G. Fox和S. Pallickara）
    - 分類和啟用網格應用（G. Allen等人）

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