Grid Computing - GRID 2001: Second International Workshop, Denver, CO, USA, November 12, 2001. Proceedings

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Springer Science & Business Media, Nov 2, 2001 - Computers - 184 pages
The term "grid computing" is based on an analogy with the electrical power grid: computing capabilities should be ubiquitous and easy to use. While the development of what we now call grid computing is, in many ways, part of a natural progression of work done in the last decade, what's special about it is that all of its enabling technologies are converging at once: (1) a widely - ployed, network infrastructure will connect virtually every device in the world, (2) an interface technology is widely understood and embraced by virtually every segment of science, technology, commerce, and society, and (3) there is a wi- spread, and growing, understanding of the properties, capabilities, and services that are necessary and possible to utilize this infrastructure. Information services and resource brokers will allow the dynamic sharing of resources for applications large and small and enable virtual organizations. These properties, capabilities, and services will be used in different contexts to enable different styles of c- puting such as Internet computing and Peer-to-Peer computing. To facilitate the adoption of standard practices, the Global Grid Forum (www. gridforum. org) was formed to identify common requirements and push for eventual standardization. The phenomenal growth of grid computing and related topics has created the need for this workshop as a venue to present the latest research. This year's workshop builds on the success of last year's.
 

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Contents

Grid Application Design Using Software Components and Web Services
1
Design and Implementation of a CORBA Commodity Grid Kit
2
Towards High Performance CORBA and MPI Middlewares for Grid Computing
14
An Integrated Grid Environment for Component Applications
26
High Performance Knowledge Discovery Services on the Grid
38
On Fully Decentralized Resource Discovery in Grid Environments
51
An Adaptive Service Grid Architecture Using Dynamic Replica Management
63
Identifying Dynamic Replication Strategies for a High Performance Data Grid
75
A Scheduling Model for Grid Computing Systems
111
Exposed versus Encapsulated Approaches to Grid Service Architecture
124
A Methodology for Account Management in Grid Computing Environments
133
A Framework for Authorization Accounting Policy Specification and Evaluation in Grids
145
Predicting and Monitoring Grid Application Behavior
154
ProductionLevel Distributed Parametric Study Capabilities for the Grid
166
The DO Experiment Data Grid SAM
177
Author Index
185

Resource CoAllocation on the Computational Grid
87
A Computational GridWide Queuing System
99

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