GrayWulf: Scalable Software Architecture for Data Intensive Computing

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 commo...

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Bibliographic Details
Published in2009 42nd Hawaii International Conference on System Sciences pp. 1 - 10
Main Authors Simmhan, Y., Barga, R., van Ingen, C., Nieto-Santisteban, M., Dobos, L., Li, N., Shipway, M., Szalay, A.S., Werner, S., Heasley, J.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.01.2009
Subjects
Software architecture
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Summary: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.
ISBN:9780769534503
0769534503
ISSN:1530-1605
2572-6862
DOI:10.1109/HICSS.2009.235