| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 6873521 | Future Generation Computer Systems | 2015 | 17 Pages |
Abstract
In this work, we analyze the workload of the ATLAS experiment at CERN at the LHC, processed on the resources of Nordic Data Grid Facility. ATLAS is one of the biggest grid technology users, with extreme demands for CPU power, data volume and bandwidth. The analysis is based on the data sample with â¼1.6 million jobs, 3029Â TB of data transfer, and 873 years of processor time. Our additional contributions are (a) scalable workload models that can be used to generate a synthetic workload for a given number of jobs, (b) an open-source workload generator software integrated with existing grid simulators, and (c) suggestions for grid system designers based on the insights of our analysis.
Related Topics
Physical Sciences and Engineering
Computer Science
Computational Theory and Mathematics
Authors
Dmytro Karpenko, Roman Vitenberg, Alexander L. Read,