Designing an Architecture for Distributed Shared Data on the Grid

Tudor Dacian, Vladimir Cretu, Wolfgang Schreiner

Research output: Chapter in Book/Report/Conference proceedingConference proceedingspeer-review

Abstract

Despite the continuous advances of the last years in grid computing, the grid computing programming paradigms are dominated by the message passing concept. There is little support for other paradigms such as shared data or associative programming. In this paper we analyze some of the existing solutions for grid shared data programming and highlight some of their drawbacks. We propose a new architecture and its core features as well as new evaluation means of its behavior in various scenarios including the next generation grid systems. In addition to the simplicity of our solution, we believe that it would allow us to easily apply further extensions.
Original languageEnglish
Title of host publicationAlgorithms and Architectures for Parallel Processing - 8th International Conference, ICA3PP 2008, Proceedings
Editors Anu G. Bourgeois and S. Q. Zheng
PublisherSpringer
Pages261-264
Number of pages4
Volume22
ISBN (Print)9783540695004
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume5022 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fields of science

  • 101 Mathematics
  • 101001 Algebra
  • 101005 Computer algebra
  • 101009 Geometry
  • 101012 Combinatorics
  • 101013 Mathematical logic
  • 101020 Technical mathematics

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