Astronomy is posing imminent big challenges to database management
systems. Projects such as Pan-STARRS will build a 300 TB database
system by year 2011. In order to achieve such as an ambitious goal,
we must divide to conquer. We present the GrayWulf framework where
computational and data resources are integrated through powerful
workflow, and query tools. The system is built on top of a cluster
of commodity servers. Its scalable architecture makes it a great
host for data intensive applications such as large scale cross-matching.
%0 Conference Paper
%1 Nieto-Santisteban:adass:2008
%A Nieto-Santisteban, Maria A.
%A Budavari, Tamas
%A Dobos, Laszlo
%A Li, Nolan
%A Shipway, Michael
%A Szalay, Alexander
%A Thakar, Ani
%A Werner, Suzanne
%A Wilton, Richard
%A Simmhan, Yogesh
%A van Ingen, Catharine
%A Heasley, Jim
%A Holmberg, Conrad
%B Astronomical Data Analysis Software and Systems (ADASS)
%D 2008
%I Astronomical Society of the Pacific
%K data escience, management, msr, panstarrs, talk workflow,
%T GrayWulf: Conquering Astronomical Databases
%U http://adass2008.artisan.net/seeabstract.php?id=193
%X Astronomy is posing imminent big challenges to database management
systems. Projects such as Pan-STARRS will build a 300 TB database
system by year 2011. In order to achieve such as an ambitious goal,
we must divide to conquer. We present the GrayWulf framework where
computational and data resources are integrated through powerful
workflow, and query tools. The system is built on top of a cluster
of commodity servers. Its scalable architecture makes it a great
host for data intensive applications such as large scale cross-matching.
@inproceedings{Nieto-Santisteban:adass:2008,
abstract = {Astronomy is posing imminent big challenges to database management
systems. Projects such as Pan-STARRS will build a 300 TB database
system by year 2011. In order to achieve such as an ambitious goal,
we must divide to conquer. We present the GrayWulf framework where
computational and data resources are integrated through powerful
workflow, and query tools. The system is built on top of a cluster
of commodity servers. Its scalable architecture makes it a great
host for data intensive applications such as large scale cross-matching.},
added-at = {2014-08-13T04:08:36.000+0200},
author = {Nieto-Santisteban, Maria A. and Budavari, Tamas and Dobos, Laszlo and Li, Nolan and Shipway, Michael and Szalay, Alexander and Thakar, Ani and Werner, Suzanne and Wilton, Richard and Simmhan, Yogesh and van Ingen, Catharine and Heasley, Jim and Holmberg, Conrad},
biburl = {https://www.bibsonomy.org/bibtex/214b24439c1a0658db1868b5ecd143b35/simmhan},
booktitle = {Astronomical Data Analysis Software and Systems (ADASS)},
interhash = {812c4bcdbbc39ce6f9f8c4d74df25cb6},
intrahash = {14b24439c1a0658db1868b5ecd143b35},
keywords = {data escience, management, msr, panstarrs, talk workflow,},
month = {November},
note = {Talk},
owner = {Simmhan},
publisher = {Astronomical Society of the Pacific},
timestamp = {2014-08-13T04:08:36.000+0200},
title = {GrayWulf: Conquering Astronomical Databases},
url = {http://adass2008.artisan.net/seeabstract.php?id=193},
year = 2008
}