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. © 2008 Springer-Verlag Berlin Heidelberg.
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CITATION STYLE
Tudor, D., Cretu, V., & Schreiner, W. (2008). Designing an architecture for distributed shared data on the grid. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5022 LNCS, pp. 261–264). Springer Verlag. https://doi.org/10.1007/978-3-540-69501-1_27
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