TY - GEN
T1 - How Are Real Grids Used?
T2 - 7th IEEE/ACM International Conference on Grid Computing
AU - Iosup, Alexandru
AU - Dumitrescu, Caqtalin
AU - Epema, Dick
AU - Li, Hui
AU - Wolters, Lex
PY - 2006/9
Y1 - 2006/9
N2 - The Grid computing vision promises to provide the needed platform for a new and more demanding range of applications. For this promise to become true, a number of hurdles, including the design and deployment of adequate resource management and information services, need to be overcome. In this context, understanding the characteristics of real Grid workloads is a crucial step for improving the quality of existing Grid services, and in guiding the design of new solutions. Towards this goal, in this work we present the characteristics of traces of four real Grid environments, namely LCG, Grid3, and TeraGrid, which are among the largest production Grids currently deployed, and the DAS, which is a research Grid. We focus our analysis on virtual organizations, on users, and on individual jobs characteristics. We further attempt to quantify the evolution and the performance of the Grid systems from which our traces originate. Finally, given the scarcity of the information available for analysis purposes, we discuss the requirements of a new format for Grid traces, and we propose the establishment of a virtual center for workload-based Grid benchmarking data: The Grid Workloads Archive.
AB - The Grid computing vision promises to provide the needed platform for a new and more demanding range of applications. For this promise to become true, a number of hurdles, including the design and deployment of adequate resource management and information services, need to be overcome. In this context, understanding the characteristics of real Grid workloads is a crucial step for improving the quality of existing Grid services, and in guiding the design of new solutions. Towards this goal, in this work we present the characteristics of traces of four real Grid environments, namely LCG, Grid3, and TeraGrid, which are among the largest production Grids currently deployed, and the DAS, which is a research Grid. We focus our analysis on virtual organizations, on users, and on individual jobs characteristics. We further attempt to quantify the evolution and the performance of the Grid systems from which our traces originate. Finally, given the scarcity of the information available for analysis purposes, we discuss the requirements of a new format for Grid traces, and we propose the establishment of a virtual center for workload-based Grid benchmarking data: The Grid Workloads Archive.
UR - http://www.pds.ewi.tudelft.nl/%7Eepema/Papers/GR060088.pdf
U2 - 10.1109/ICGRID.2006.311024
DO - 10.1109/ICGRID.2006.311024
M3 - Conference contribution
SN - 1-4244-0343-X
SP - 262
EP - 269
BT - Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
A2 - Gannon, Dennis
A2 - Badia, Rosa M.
A2 - Buyya, Tajkumar
PB - IEEE
CY - Washington, DC
Y2 - 28 September 2006 through 29 September 2006
ER -