Table of Contents
Chapter I
EXECUTIVE SUMMARY
- 1.1 Commercial Acceptance of Grid Computing
- 1.2 What is Grid Computing?
- 1.3 Grid Computing Implications for Telecom
- 1.4 Grid Computing Market Analysis
Chapter II
OVERVIEW
- 2.1 Introduction to Grid Computing
- 2.1.1 Grid Computing Drivers
- 2.1.2 Grid Computing Inhibitors
- 2.1.3 Grid Computing Segmentation
- 2.2 Understanding Grids as a Tool for Resource Sharing
- 2.2.1 Compute Grids
- 2.2.2 Data Grids
- 2.2.3 Instrumentation and Sensor Grids
- 2.2.4 Application Grids
- 2.3 Understanding Grids as Organizational Tools
- 2.3.1 Enterprise Grids
- 2.3.1.1 Cluster Grid
- 2.3.1.2 Campus Grid
- 2.3.1.3 Enterprise-wide Grid
- 2.3.2 Partner Grids
- 2.3.3 Service Grids
- 2.3.4 State of the Grid
- 2.4 Related Computing Concepts
- 2.4.1 Supercomputers
- 2.4.2 Peer-to-Peer (P2P) Computing
- 2.4.3 Service-Oriented Architectures
- 2.4.4 Utility Computing
- 2.4.5 Autonomic Computing
- 2.5 Grid Organizations and Standards
- 2.5.1 Standardization Organizations
- 2.5.1.1 Global Grid Forum (GGF)
- 2.5.1.2 Organization for the Advancement of Structured Information
Standards (OASIS)
- 2.5.1.3 Enterprise Grid Alliance (EGA)
- 2.5.1.4 Distributed Management Task Force (DMTF)
- 2.5.2 Standards
- 2.5.2.1 Open Grid Services Architecture (OGSA)
- 2.5.2.2 Web Services Resource Framework (WSRF)
- 2.5.2.3 Other Emerging Standards
- 2.5.3 Toolkits
- 2.5.3.1 Globus
- 2.5.3.2 Unicore
- 2.5.3.3 gLite
- 2.5.4 Grid Support Centers
- 2.5.4.1 The Grid Research Integration Development and Support Center
(USA)
- 2.5.4.2 The Open Middleware Infrastructure Institute (UK and EU)
- 2.5.4.3 Others
Chapter III
APPLICATIONS
- 3.1 Introduction
- 3.2 Government and Academic Applications
- 3.2.1 Government-Sponsored Public Grid Efforts
- 3.2.1.1 TeraGrid (USA)
- 3.2.1.2 Open Science Grid (USA)
- 3.2.1.3 European Union Grid program (EU)
- 3.2.1.4 NAREGI Grid (Japan)
- 3.2.1.5 e-Science Program (UK)
- 3.2.1.6 Other Public Grid Efforts
- 3.2.1.7 West Virginia Global Grid Exchange
- 3.2.2 Physical Sciences Applications
- 3.2.2.1 Search for Extraterrestrial Intelligence (SETI)
- 3.2.2.2 Earthquake Engineering Simulation
- 3.2.2.3 High Energy Particle Physics and Earth Observation Applications
- 3.2.3 Life Sciences Applications
- 3.2.3.1 Cancer Diagnosis and Screening
- 3.2.3.2 High Resolution Neurosciences Imaging
- 3.3 Commercial Applications
- 3.3.1 Pharmaceutical, Biomedical, and Biotechnological Applications
- 3.3.1.1 Pharmaceutical Research
- 3.3.1.2 Protein Analysis
- 3.3.2 Engineering and Design Automation Applications
- 3.3.2.1 Airplane Part Design
- 3.3.2.2 Computer Chip Design
- 3.3.2.3 Computer Animation and Video Postproduction
- 3.3.2.4 Aerial and Satellite Image Distribution
- 3.3.3 Financial Services Applications
- 3.3.6.1 Investment Banking Applications
- 3.3.6.2 Life Insurance Financial Modeling Application
- 3.3.6.3 Risk Management Applications
- 3.3.6.4 Wachovia Bank
- 3.3.4 Human Resources Application
- 3.3.5 Enterprise Data Center Back-up Solution
- 3.3.6 Information Services Application
- 3.4 Consumer Applications
Chapter IV
IMPLICATIONS FOR TELECOM
- 4.1 Grid Computing Implications for Telecom
- 4.1.1 IT Operations
- 4.1.2 Bandwidth and Traffic Patterns
- 4.1.3 Excess Capacity
- 4.1.4 Next-Generation Telco Services
- 4.1.5 Potential Roles for Telcos
- 4.2 Applications Best Suited for Grid Computing
- 4.3 Case Studies: Grids and Telecom
- 4.3.1 TeraGrid Case Study
- 4.3.2 BT Case Study
- 4.3.3 France Telecom Case Study
- 4.3.4 Telefonica Case Study
- 4.4 Grids That Drive Network Innovation
- 4.4.1 Lambda and Hybrid networking
- 4.4.2 OptIPuter Project
- 4.4.3 Akogrimo: A Mobile Grid
- 4.5 Global Adoption of Grid Technologies
Chapter V
VENDORS 122
- 5.1 Introduction
- 5.2 Major IT Platform Providers
- 5.2.1 Apple Computer
- 5.2.2 Dell
- 5.2.3 Hewlett-Packard (HP)
- 5.2.3.1 Background
- 5.2.3.2 Grid Solution Stack
- 5.2.4 International Business Machines (IBM)
- 5.2.4.1 Background
- 5.2.4.2 IBM and Grid Computing
- 5.2.5 Oracle
- 5.2.6 Sun Microsystems
- 5.2.6.1 Background
- 5.2.6.2 Sun N1
- 5.2.6.3 Sun N1 Grid Engine
- 5.2.6.4 Utility Computing Services
- 5.3 Grid Independent Software Companies
- 5.3.1 Sybase (Avaki)
- 5.3.1.1 Background
- 5.3.1.2 Target Markets
- 5.3.1.3 Technology and Products
- 5.3.2 DataSynapse, Inc.
- 5.3.2.1 Background
- 5.3.2.2 Target Markets
- 5.3.2.3 Technology and Products
- 5.3.3 Platform Computing, Inc.
- 5.3.3.1 Background
- 5.3.3.2 Target Markets
- 5.3.3.3 Technology and Products
- 5.3.3.4 Services
- 5.3.3.5 Partnerships
- 5.3.4 United Devices
- 5.3.4.1 Background
- 5.3.4.2 Target Markets
- 5.3.4.3 Technology and Products
- 5.3.4.4 Business Model and Partnerships
- 5.3.5 Univa
- 5.3.6 Base One International
- 5.3.7 Appistry
- 5.3.8 Mesh Technologies
- 5.3.9 Digipede
- 5.3.10 Others: ActiveGrid, Hemeris, Fujitsu Siemens
Chapter VI
MARKET FORECAST
- 6.1 Overview
- 6.1.1 Methodology
- 6.1.2 Market Segmentation
- 6.2 Market Model Assumptions
- 6.2.1 Aggregated IT and Grid Spending
- 6.2.2 IT and Grid Spending by Vertical Markets
- 6.2.3 IT and Grid Spending by Region
- 6.2.4 IT and Grid Spending by Component
- 6.2.5 Grid Spending by Organization
- 6.2.6 Grid Spending by Resource
- 6.3 Forecasts Summary
Appendix
GLOSSARY
TABLE OF FIGURES
Chapter I
- I-1 Grid Computing as Part of the IT Evolution
Chapter II
- II-1 Grid Computing as Part of the IT Evolution
- II-2 Grand Synthesis
- II-3 Compute Grid Operation
- II-4 Evolution of Grids
- II-5 Service Oriented Architecture
- II-6 Web Services as an SOA
- II-7 Grid Architecture
Chapter III
- III-1 Biotech and Pharmaceutical Companies' Data Management Challenges
- III-2 Ad Hoc Solutions Used to Address Data Management Problems
Chapter IV
- IV-1 TeraGrid Backplane Architecture
- IV-2 TeraGrid National Architecture
- IV-3 TeraGrid Site Architecture
- IV-4 GLIF Architecture
Chapter V
V-1 The HP Grid Software Stack for the Adaptive Enterprise
TABLE OF TABLES
Chapter I
- I-1 Grid Market Segmentation by Resource
- I-2 Grid Market Segmentation by Organization
- I-3 Worldwide Grid Spending, 2006-2011
Chapter II
II-1 Server and Storage Resource Utilization II-2 Grid Market Segmentation by
Type of Resource II-3 Grid Market Segmentation by Type of Org II-4
Supercomputer Distinctions II-5 Utility Pricing Plans II-6 Autonomic Computing
Attributes II-7 Web Services Resource Framework Specifications
Chapter III
- III-1 Commercial Applications of Grid Computing
- III-2 Phased Introduction of Grid Applications
Chapter V
- V-1 Grid Vendor Landscape
Chapter VI
- VI-1 Grid Market Segmentation by Geography
- VI-2 Grid Market Segmentation by Component
- VI-3 Grid Market Segmentation by Type of Resource
- VI-4 Grid Market Segmentation by Type of Organization
- VI-5 Worldwide IT Spending, 2006-2011
- VI-6 Worldwide Grid Spending, 2006-2011
- VI-7 Worldwide IT Spending by Vertical, 2006-2011
- VI-8 Worldwide Grid Computing by Vertical Market, 2006-2011
- VI-9 Worldwide IT Spending by Region, 2006-2011
- VI-10 Worldwide Grid Spending by Region, 2006-2011
- VI-11 Worldwide IT Spending by Component, 2006-2011
- VI-12 Worldwide Grid Spending by Component, 2006-2011
- VI-13 Worldwide Grid Spending by Type of Organization, 2006-2011
- VI-14 Worldwide Grid Spending by Type of Resource, 2006-2011
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