%0 Conference Paper %1 Simmhan:hicss:2009 %A Simmhan, Yogesh %A Barga, Roger %A van Ingen, Catharine %A Nieto-Santisteban, Maria %A Dobos, Lazslo %A Li, Nolan %A Shipway, Michael %A Szalay, Alexander S. %A Werner, Sue %A Heasley, Jim %B Hawaii International Conference on System Sciences (HICSS) %D 2009 %I IEEE %K cloud, data escience, graywulf, hpc, management, msr, panstarrs, peer reviewed trident, workflows, %P 1-10 %R 10.1109/HICSS.2009.235 %T GrayWulf: Scalable Software Architecture for Data Intensive Computing %X 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.

@inproceedings{Simmhan:hicss:2009, 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.}, added-at = {2014-08-13T04:08:36.000+0200}, author = {Simmhan, Yogesh and Barga, Roger and van Ingen, Catharine and Nieto-Santisteban, Maria and Dobos, Lazslo and Li, Nolan and Shipway, Michael and Szalay, Alexander S. and Werner, Sue and Heasley, Jim}, biburl = {https://www.bibsonomy.org/bibtex/2e284962ea1f7bfb15d7a148e25cfae74/simmhan}, booktitle = {Hawaii International Conference on System Sciences (HICSS)}, doi = {10.1109/HICSS.2009.235}, interhash = {24b68fb89ad24f197f4bfa4c6b362c3e}, intrahash = {e284962ea1f7bfb15d7a148e25cfae74}, keywords = {cloud, data escience, graywulf, hpc, management, msr, panstarrs, peer reviewed trident, workflows,}, note = {[CORE A]}, owner = {Simmhan}, pages = {1-10}, publisher = {IEEE}, timestamp = {2014-08-13T04:08:36.000+0200}, title = {GrayWulf: Scalable Software Architecture for Data Intensive Computing}, year = 2009 }