| CMS Note | |
| Report number | CMS-CR-2018-299 |
| Title | Improving efficiency of analysis jobs in CMS |
| Author(s) | Ivanov, Todor Trendafilov (Sofiya U.) |
| Publication | 2019 |
| Collaboration | CMS Collaboration |
| Imprint | 19 Oct 2018 |
| Number of pages | 9 |
| Published in: | EPJ Web Conf. 214 (2019) 03006 |
| Presented at | 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.03006 |
| DOI | 10.1051/epjconf/201921403006 |
| Subject category | Detectors and Experimental Techniques |
| Accelerator/Facility, Experiment | CERN LHC ; CMS |
| Keywords | General |
| Abstract | Hundreds of physicists analyze data collected by the Compact Muon Solenoid (CMS) experiment at the Large Hadron Collider using the CMS Remote Analysis Builder and the CMS global pool to exploit the resources of the Worldwide LHC Computing Grid. Efficient use of such an extensive and expensive resource is crucial. At the same time, the CMS collaboration is committed to minimizing time to insight for every scientist, by pushing for fewer possible access restrictions to the full data sample and supports the free choice of applications to run on the computing resources. Supporting such variety of workflows while preserving efficient resource usage poses special challenges. In this paper we report on three complementary approaches adopted in CMS to improve the scheduling efficiency of user analysis jobs: automatic job splitting, automated run time estimates and automated site selection for jobs. |
| Other source | Inspire |
| Copyright/License | publication: © 2019-2025 the Authors (License: CC-BY-4.0) |
记录创建於2018-11-26，最後更新在2022-01-14
