DocumentCode :
2420348
Title :
GrayWulf: Scalable Software Architecture for Data Intensive Computing
Author :
Simmhan, Yogesh ; Barga, R. ; van Ingen, C. ; Nieto-Santisteban, M. ; Dobos, Lubomir ; Li, Ning ; Shipway, M. ; Szalay, Alexander S. ; Werner, Stefan ; Heasley, J.
Author_Institution :
Microsoft Res., Redmond, WA
fYear :
2009
fDate :
5-8 Jan. 2009
Firstpage :
1
Lastpage :
10
Abstract :
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.
Keywords :
software architecture; Beowulf clusters; GrayWulf; Pan-STARRS system; cluster infrastructure software; parallel application design; petabyte data sets; Software architecture;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
System Sciences, 2009. HICSS '09. 42nd Hawaii International Conference on
Conference_Location :
Big Island, HI
ISSN :
1530-1605
Print_ISBN :
978-0-7695-3450-3
Type :
conf
DOI :
10.1109/HICSS.2009.235
Filename :
4755781
Link To Document :
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