Designing an Architecture for Distributed Shared Data on the Grid

  • Authors:
  • Dacian Tudor;Vladimir Cretu;Wolfgang Schreiner

  • Affiliations:
  • Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania 300223;Computer Science and Engineering Department, "Politehnica" University of Timisoara, Timisoara, Romania 300223;Research Institute for Symbolic Computation (RISC), Johannes Kepler University, Linz, Austria 4040

  • Venue:
  • ICA3PP '08 Proceedings of the 8th international conference on Algorithms and Architectures for Parallel Processing
  • Year:
  • 2008

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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.