Abstract
Execution of large-scale parallel applications that span multiple distributed sites is important to realize the potential of computational grids. There are various problems being faced by the developers while running the applications on multiple clusters. In the last few years many groups have developed middleware frameworks that enable execution of MPI applications on multiple clusters where the slave nodes of a cluster have private or hidden IP address. This paper evaluates and compares such middleware frameworks for execution of MPI applications and discusses the merits of the solutions.
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© 2011 Springer-Verlag Berlin Heidelberg
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Jain, A., Vadhiyar, S.S. (2011). Evaluation of Grid Middleware Frameworks for Execution of MPI Applications. In: Mantri, A., Nandi, S., Kumar, G., Kumar, S. (eds) High Performance Architecture and Grid Computing. HPAGC 2011. Communications in Computer and Information Science, vol 169. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-22577-2_8
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DOI: https://doi.org/10.1007/978-3-642-22577-2_8
Publisher Name: Springer, Berlin, Heidelberg
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