Abstract
Large-scale data-intensive applications like the high energy physics codes developed at Cern rely to a great extent on the ability to utilize geographically distributed computing and data-storage resources. Consequently, much effort has been spent on the design of Grid middleware that organizes the coordinated use of distributed resources. Software packages like Globus, Cactus, Legion, WebFlow, NetSolve, Ninf, Nimrod-G, Condor-G, and many others have already been successfully deployed, and some of them are in daily use in the various science and research laboratories throughout the world.
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References
I. Foster and C. Kesselman (eds.): The Grid: Blueprint for a New Computing Infrastructure. Morgan Kaufman Publishers, 1999.
A. Reinefeld, V. Lindenstruth: How to Build a High-Performance Compute Cluster for the Grid. Konrad-Zuse-Zentrum für Informationstechnik Berlin, ZIB Report 01-11, May 2001.
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© 2001 Springer-Verlag Berlin Heidelberg
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Reinefeld, A. (2001). Clusters for Data-Intensive Applications in the Grid. In: Cotronis, Y., Dongarra, J. (eds) Recent Advances in Parallel Virtual Machine and Message Passing Interface. EuroPVM/MPI 2001. Lecture Notes in Computer Science, vol 2131. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-45417-9_6
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DOI: https://doi.org/10.1007/3-540-45417-9_6
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