Clusters for Data-Intensive Applications in the Grid
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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.
[1] Alexander Reinefeld,et al. How to build a high-performance compute cluster for the Grid , 2001, Proceedings International Conference on Parallel Processing Workshops.