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Data agnostic resource scheduling in the grid
Hayward, G.G.; Lumb, L.I.;
High Performance Computing Systems and Applications, 2005. HPCS 2005. 19th International Symposium on
15-18 May 2005
Page(s):230
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235
Abstract:
Data grid architectures must confront the antipodal problems of data locality and global data coherence. Here, we examine a new approach to meeting these conflicting needs that leverages a storage wide area network, a clustered file system, a distributed block system, and a distributed resource scheduler. We examine multi-site concurrent I/O performance on an emulated three-site data grid with inter-site separations ranging from 1000 km-5000 km. We examine workloads that require all sites to interact with a single, globally coherent data image. In particular, all three sites perform concurrent write operations to shared files within a single file system.
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