학술논문
The Grid2003 production grid: principles and practice
Document Type
Conference
Author
Foster I; Gieraltowski, J.; Gose, S.; Maltsev, N.; May, E.; Rodriguez, A.; Sulakhe, D.; Vaniachine, A.; Shank, J.; Youssef, S.; Adams, D.; Baker, R.; Deng, W.; Smith, J.; Yu, D.; Legrand, I.; Singh, S.; Steenberg, C.; Xia, Y.; Afaq, A.; Berman, E.; Annis, J.; Bauerdick, L.A.T.; Ernst, M.; Fisk, I.; Giacchetti, L.; Graham, G.; Heavey, A.; Kaiser, J.; Kuropatkin, N.; Pordes, R.; Sekhri, V.; Weigand, J.; Wu, Y.; Baker, K.; Sorrillo, L.; Huth, J.; Allen, M.; Grundhoefer, L.; Hicks, J.; Luehring, F.; Peck, S.; Quick, R.; Simms, S.; Fekete, G.; VandenBerg, J.; Cho, K.; Kwon, K.; Son, D.; Park, H.; Canon, S.; Jackson, K.; Konerding, D.E.; Lee, J.; Olson, D.; Sakrejda, I.; Tierney, B.; Green, M.; Miller, R.; Letts, J.; Martin, T.; Bury, D.; Dumitrescu, C.; Engh, D.; Gardner, R.; Mambelli, M.; Smirnov, Y.; Voeckler, J.; Wilde, M.; Zhao, Y.; Zhao, X.; Avery, P.; Cavanaugh, R.; Kim, B.; Prescott, C.; Rodriguez, J.; Zahn, A.; McKee, S.; Jordan, C.; Prewett, J.; Thomas, T.; Severini, H.; Clifford, B.; Deelman, E.; Flon, L.; Kesselman, C.; Mehta, G.; Olomu, N.; Vahi, K.; De, K.; McGuigan, P.; Sosebee, M.; Bradley, D.; Couvares, P.; De Smet, A.; Kireyev, C.; Paulson, E.; Roy, A.; Koranda, S.; Moe, B.; Brown, B.; Sheldon, P.
Source
Proceedings. 13th IEEE International Symposium on High performance Distributed Computing, 2004. High performance distributed computing High performance Distributed Computing, 2004. Proceedings. 13th IEEE International Symposium on. :236-245 2004
Subject
Language
ISSN
1082-8907
Abstract
The Grid2003 Project has deployed a multivirtual organization, application-driven grid laboratory ("Grid3") that has sustained for several months the production-level services required by physics experiments of the Large Hadron Collider at CERN (ATLAS and CMS), the Sloan Digital Sky Survey project, the gravitational wave search experiment LIGO, the BTeV experiment at Fermilab, as well as applications in molecular structure analysis and genome analysis, and computer science research projects in such areas as job and data scheduling. The deployed infrastructure has been operating since November 2003 with 27 sites, a peak of 2800 processors, work loads from 10 different applications exceeding 1300 simultaneous jobs, and data transfers among sites of greater than 2 TB/day. We describe the principles that have guided the development of this unique infrastructure and the practical experiences that have resulted from its creation and use. We discuss application requirements for grid services deployment and configuration, monitoring infrastructure, application performance, metrics, and operational experiences. We also summarize lessons learned.