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Grid Computing: A Vertical Market Perspective 2003-2008
a market research report
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In the groundbreaking study, Grid Computing: A Vertical Market Perspective 2003-2008, Insight Research explores the implications of grid computing on vertical market industries, with a special emphasis on the telecommunications industry. With its unique vantage point astride the telecom and IT industries, Insight analyzes both the risks and opportunities for service providers to implement grids for cost-cutting measures, and to capitalize on grids as revenue-generating sources.
Grid computing provides consistent, inexpensive access to computational resources (supercomputers, storage systems, data sources, instruments, and people) regardless of their physical location or access point. As such, The Grid provides a single, unified resource for solving large-scale compute and data intensive computing applications.
In
Grid Computing: A Vertical Market Perspective, Insight examines grid technology, the players, and its industry-specific applications, offering segmented forecasts through 2008. In addition to an aggregated spending estimate for grid computing, this report forecasts spending in 14 vertical industries and four geographic regions. Revenue is also segmented by the sharing organization, and by the type of resource shared.
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Report Excerpt
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Grid Computing Background
In just four years, grid computing has moved from the fringes of academic respectability in the SETI@home project to a centerpiece in IBM’s utility computing strategy, and is one of several new technologies coming out of the IT industry that will change enterprise computing—and the telecommunications infrastructure supporting it. This transformation will capitalize on developments across a broad spectrum of technologies. Ongoing innovations in microprocessors, server architectures, storage networks, resource management, and a host of other areas are providing the foundation for enterprises and service providers to build vast adaptive infrastructures based largely upon commodity resources.
Grid computing is a form of distributed system wherein computing resources are shared across networks. Just as Web standards and technologies enabled universal, transparent access to documents, grid promises do so for computing resources. Grid enables the selection, aggregation, and sharing of information resources resident in multiple administrative domains and across geographic areas. These information resources are shared based upon their availability, capability, and cost, as well as the user’s quality of service (QoS) requirements. Grid computing is meant to:
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reduce total cost of ownership (TCO);
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aggregate and improve efficiency of computing, data, and storage resources; and
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enable the creation of virtual organizations for applications and data sharing.
IT analysts are calling grid computing one of the outstanding emerging technologies that will likely form the foundation of a fourth wave in IT. This nascent fourth stage of IT encompasses technologies and concepts such as grid computing, computing on demand, utility computing, organic IT, virtualization, adaptive computing, and Internet computing.
This new paradigm will enable heterogeneous computing resources of all kinds to be shared over networks and reallocated dynamically across applications, processes, and users to a greater degree than ever before possible. It will give office and even home machines the ability to reach into cyberspace, find resources wherever they may be, and assemble them on the fly into whatever applications are needed. In this respect, grid computing is a key foundational technology of this new paradigm.
Grid Computing & Telecommunications
Insight sees three broad implications for the adoption of grid computing technologies for telecommunications carriers. First ...
Click here for the complete
Executive Summary.
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Market Segmentation
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By Industry
Healthcare
Construction
Retail Trade
Wholesale Trade
Education/Social Services
Finance/Insurance/Real Estate
Professional Business Services
Hotel and Lodging
Transportation
Communications
Utilities
Entertainment and Media
Durable Manufacturing
Non-durable Manufacturing
By Region
North America
Europe/Middle East/Africa
Central America/Latin America
Asia/Pacific
By Ware
Hardware
Software
Professional Services
By Sharing Organization
Enterprise Grids
Partner Grids
Service Grids
By Resource Shared
Compute Grids
Data Grids
Instrumentation Grids
Application Grids
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Table of Contents
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Chapter I
EXECUTIVE SUMMARY
1.1 Overview
1.2 Market Trends
1.3 Forecast Summary
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 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
2.4 Related Computing Concepts
2.4.1 Supercomputers
2.4.2 Peer-to-Peer 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 The Globus Project
2.5.2 The Globus Toolkit
2.5.3 Global Grid Forum
2.5.4 Open Grid Services Architecture
2.5.5 National Science Foundation TeraGrid
Chapter III
APPLICATIONS
3.1 Government and Academic Applications
3.1.1 Physical Sciences Applications
3.1.1.1 Search for Extraterrestrial Intelligence
3.1.1.2 Earthquake Engineering Simulation
3.1.1.3 High Energy Particle Physics and Earth Observation Applications
3.1.1.4 UK e-Science Program
3.1.2 Life Sciences Applications
3.1.2.1 Cancer Diagnosis and Screening
3.1.2.2 High Resolution Neurosciences Imaging
3.2 Commercial Applications
3.2.1 Pharmaceutical, Biomedical, and Biotechnological Applications
3.2.2 Engineering and Design Automation Applications
3.2.3 Financial Services Applications
3.3 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 Adoption Phases
4.1.6 Potential Roles for Telcos
4.2 Applications Best Suited for Grid Computing
4.2.1 TeraGrid Case Study
4.2.2 Ceyba Case Study
4.3 Global Adoption of Grid Technologies
Chapter V
VENDORS
5.1 Major IT Platform Providers
5.1.1 International Business Machines
5.1.2 Hewlett-Packard Company
5.1.3 Sun Microsystems
5.1.4 Silicon Graphics, Inc
5.1.5 Gateway
5.1.6 Dell
5.2 Grid Independent Software Companies
5.2.1 Avaki
5.2.2 DataSynapse, Inc
5.2.3 Platform Computing, Inc.
5.2.4 United Devices
5.2.5 Entropia
5.2.6 GridSystems
Chapter VI
MARKET FORECAST
6.1 Methodology
6.2 Market Segmentation
6.3 Addressable Market Methodology
6.4 Market Model Assumptions
6.4.1 Aggregated IT and Grid Spending
6.4.2 IT and Grid Spending by Vertical Markets
6.4.3 IT and Grid Spending by Region
6.4.4 IT and Grid Spending by Component
6.4.5 Grid Spending by Organization
6.4.6 Grid Spending by Resource
6.5 Forecasts and Analyses
6.5.1 Aggregated IT and Grid Spending
6.5.2 IT and Grid Spending by Vertical Markets
6.5.3 IT and Grid Spending by Region
6.5.4 IT and Grid Spending by Component
6.5.5 Grid Spending by Organization
6.5.6 Grid Spending by Resource
Table of Figures
Chapter I
I-1 Grid Computing as Part of the IT Evolution
I-2 Aggregated IT Spending
I-3 Aggregated Grid Spending
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
Chapter V
V-1 e-business Adoption Phases
V-2 Phases of e-business Adoption
V-3 IBM Schematic for on demand Business
V-4 HP UDC
V-5 HP UDC and Grids
Chapter VI
VI-1 Aggregated IT Spending
VI-2 Aggregated Grid Spending
VI-3 IT Spending by Vertical Markets
VI-4 Grid Spending by Vertical Markets
VI-5 IT Spending by Region
VI-6 Grid Spending by Region
VI-7 IT Spending by Component
VI-8 Grid Spending by Component
VI-9 Grid Spending by Organization
VI-10 Grid Spending by Resource
Table of Tables
Chapter II
II-2 Server and Storage Resource Utilization
Chapter III
III-1 Phased Introduction of Grid Applications
Chapter IV
IV-1 Rise of Private Networks
IV-2 Implementation Options for Private Fiber Networks
Chapter V
V-1 Grid Vendor Landscape
V-2 Major IT Platform Vendor Initiatives
Chapter VI
VI-1 Aggregated IT Spending
VI-2 Aggregated Grid Spending
VI-3 IT Spending by Vertical Markets
VI-4 Grid Spending by Vertical Markets
VI-5 IT Spending by Region
VI-6 Grid Spending by Region
VI-7 IT Spending by Component
VI-8 Grid Spending by Component
VI-9 Grid Spending by Organization
VI-10 Grid Spending by Resource
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Pricing Information
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Hard Copy
Price
$ 799
Electronic Copy Price
(PDF License Descriptions)
$ 939 Single-User Printable PDF
$ 1399 6-Seat Printable PDF
$ 2000 Unlimited Corporate-Wide Distribution
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