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42nd Hawaii International Conference on System Sciences
Waikoloa, Big Island, Hawaii
January 05-January 08
ISBN: 978-0-7695-3450-3
Big data presents new challenges to both cluster infrastructure software and parallel application design. We present a set of software services and design principles for data intensive computing with petabyte data sets, named GrayWulf. These services are intended for deployment on a cluster of commodity servers similar to the well-known Beowulf clusters. We use the Pan-STARRS system currently under development as an example of the architecture and principles in action.
Citation:
Yogesh Simmhan, Roger Barga, Catharine van Ingen, Maria Nieto-Santisteban, Lazslo Dobos, Nolan Li, Michael Shipway, Alexander S. Szalay, Sue Werner, Jim Heasley, "GrayWulf: Scalable Software Architecture for Data Intensive Computing," hicss, pp.1-10, 42nd Hawaii International Conference on System Sciences, 2009
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