Grid Computing: A Vertical Market Perspective 2006-2011

In Grid Computing: A Vertical Market Perspective 2006-2011, explores the implications of grid computing on vertical markets and industries, with a special emphasis on the telecommunications industry.
 
 
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Grid Computing A Vertical Market Perspective

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Feb. 16, 2008 - PRLog -- Bharatbook.com, is proud to announce a report  "Grid Computing: A Vertical Market Perspective" (http://www.bharatbook.com/detail.asp?id=51078)

Grid computing has moved out of the laboratory and into a wide variety of commercial applications. No longer the exclusive tool of researchers seeking to harness enough compute power for massive computational challenges such as weather modeling or weapons test simulations, today grids are being deployed in more traditional commercial computing applications.

In Grid Computing: A Vertical Market Perspective 2006-2011, explores the implications of grid computing on vertical markets and industries, with a special emphasis on the telecommunications industry. 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, examines grid technology, the players, and its industry-specific applications, offering segmented forecasts through 2011. 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.

Report Excerpt

1.1 Commercial Acceptance of Grid Computing

Since our first analysis of the grid computing market published in 2003, Research has tracked the acceptance of the technology as it moved from the research community into mainstream commercial computing. Our analysis, from the perspective of the mid-point of 2006, suggests grid computing has progressed well into the “early adopters” phase of a new technology lifecycle.

At such a juncture in the new technology adoption curve, it’s not unusual to learn of some successes and of some notable failures. In this respect grid computing is no different than any other technological ingénue that reports early adopter conquests but also confesses to difficulties and problems that come from expectations that remain unmet.

In the past year, grid has racked up some notable “early adopter” milestones on the positive side of the ledger, including:

· Several telecommunications firms, including BT and Telefonica, have selected a grid middleware software partner to build service delivery capabilities;

· A number of grid start-up companies have attracted venture capital funding; and

· Many large enterprises now have partial grid implementations or experiments under way.

On the negative side of the ledger, there have also been some disappointments:

· Using grid computing software is still a challenge. The software—when deployed beyond computational grid applications—is still difficult to use, and the dominant standards remain unstable. As a consequence, there are no stable interoperating implementations based upon the proposed standards.

· Although in science and academia there are many large grids crossing many organizational boundaries, most commercial grids remain behind the firewall and are local to a single enterprise location. We see only a few examples of grids across multiple locations within the same company.

Such successes and shortcomings are fairly typical for an “early adaptor” phase of a new technology adoption curve. We are, nonetheless, beginning to see the first attempts to cross the chasm to the “early majority” phase in at least a few segments, including the technical-engineering and pharmaceutical markets, and to a lesser extent in the financial market.

1.2 What is Grid Computing?

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:

· reduce total cost of ownership (TCO);

· aggregate and improve efficiency of computing, data, and storage resources; and

· 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, as we illustrate in Figure I-1. This nascent fourth stage of IT encompasses technologies and concepts such as grid computing, computing on demand, utility computing, organic information technology (IT), virtualization, adaptive computing, and ....


 


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


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