A convergence architecture for GRID computing and programmable networks

Christian Bachmeir, Peter Tabery, Dimitar Marinov, Georgi Nachev, Jörg Eberspächer

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

Abstract

GRID computing in the Internet faces two fundamental challenges. First the development of an appropriate middleware for provision of computing services in a scalable and secure manner. Second the distributed, scalable and fast connection of GRID processing components to the network. The latter is important to enable fast data exchange among the distributed components of virtualized super-computers. In this work, we focus on the connection aspects of GRID architectures and advocate to enhance edge-routers with clusters of high performance computing machines. We propose enhancing available GRID resources to a component-based programmable node. Our approach delivers three advantages: Use of the same hardware/software for GRID computing and Programmable Networks. Support of GRID computing through-then available-programmable services, like data transport and distribution in the GRID through Programmable Networks. Finally we see GRID computing as a leverage for the future deployment of Programmable Networks technology.

Original languageEnglish
Title of host publicationLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
EditorsMarian Bubak, Geert Dick van Albada, Peter M. A. Sloot, Jack J. Dongarra
PublisherSpringer Verlag
Pages187-194
Number of pages8
ISBN (Print)3540221166
DOIs
StatePublished - 2004

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume3038
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

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