Efficient monitoring of CRAB jobs at CMS
- Univ. Estadual Paulista, Sao Paulo (Brazil)
- California Inst. of Technology (CalTech), Pasadena, CA (United States)
- Istituto Nazionale di Fisica Nucleare (INFN), Trieste (Italy)
- Istituto Nazionale di Fisica Nucleare (INFN), Perugia (Italy)
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Vilnius Univ. (Lithuania)
- Univ. of Sofia (Bulgaria)
- Research Centre for Energy, Environment and Technology (CIEMAT), Madrid (Spain)
CRAB is a tool used for distributed analysis of CMS data. Users can submit sets of jobs with similar requirements (tasks) with a single request. CRAB uses a client-server architecture, where a lightweight client, a server, and ancillary services work together and are maintained by CMS operators at CERN. As with most complex software, good monitoring tools are crucial for efficient use and longterm maintainability. This work gives an overview of the monitoring tools developed to ensure the CRAB server and infrastructure are functional, help operators debug user problems, and minimize overhead and operating cost. This work also illustrates the design choices and gives a report on our experience with the tools we developed and the external ones we used.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- Grant/Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1415638
- Report Number(s):
- FERMILAB-CONF-17-578-CD; 1638628
- Journal Information:
- Journal of Physics. Conference Series, Vol. 898, Issue 9; Conference: 22nd International Conference on Computing in High Energy and Nuclear Physics, San Francisco, CA, 10/10-10/14/2016; ISSN 1742-6588
- Publisher:
- IOP PublishingCopyright Statement
- Country of Publication:
- United States
- Language:
- English
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