๐”– Bobbio Scriptorium
โœฆ   LIBER   โœฆ

Distributed data management for grid computing

โœ Scribed by Michael Di Stefano


Book ID
127445069
Publisher
John Wiley
Year
2005
Tongue
English
Weight
8 MB
Edition
1
Category
Library
City
Hoboken, NJ
ISBN
0471687197

No coin nor oath required. For personal study only.

โœฆ Synopsis


Discover grid computing-how to successfully build, implement, and manage widely distributed computing architectureWith technology budgets under increasing scrutiny and system architecture becoming more and more complex, many organizations are rethinking how they manage and use technology. Keeping a strong business focus, this publication clearly demonstrates that the current ways of tying applications to dedicated hardware are no longer viable in today's competitive, bottom line-oriented environment. This evolution in distributed computing is leading a paradigm shift in leveraging widely distributed architectures to get the most processing power per IT dollar.Presenting a solid foundation of data management issues and techniques, this practical book delves into grid architecture, services, practices, and much more, including:* Why businesses should adopt grid computing* How to master the fundamental concepts and programming techniques and apply them successfully to reach objectives* How to maximize the value of existing IT investmentsThe author has tailored this publication for two distinct audiences. Business professionals will gain a better understanding of how grid computing improves productivity and performance, what impact it can have on their organization's bottom line, and the technical foundations necessary to discuss grid computing with their IT colleagues. Following the author's expert guidance and practical examples, IT professionals, architects, and developers will be equipped to initiate and carry out successful grid computing projects within their own organizations.


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Data distribution management (DDM) is one of the services defined by the DoD High Level Architecture and is necessary to provide efficient, scalable mechanisms for distributing state updates and interaction information in large scale distributed simulations. In this paper, we focus on data distribut