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Efficient monitoring of CRAB jobs at CMS

Journal Article · · Journal of Physics. Conference Series
 [1];  [2];  [3];  [4];  [5];  [6];  [7];  [8];  [5]
  1. Univ. Estadual Paulista, Sao Paulo (Brazil)
  2. California Inst. of Technology (CalTech), Pasadena, CA (United States)
  3. Istituto Nazionale di Fisica Nucleare (INFN), Trieste (Italy)
  4. Istituto Nazionale di Fisica Nucleare (INFN), Perugia (Italy)
  5. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
  6. Vilnius Univ. (Lithuania)
  7. Univ. of Sofia (Bulgaria)
  8. Research Centre for Energy, Environment and Technology (CIEMAT), Madrid (Spain)
+ Show Author Affiliations
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 Laboratory (FNAL), Batavia, IL (United States)
Sponsoring Organization:
USDOE Office of Science (SC), High Energy Physics (HEP) (SC-25)
Grant/Contract Number:
AC02-07CH11359
OSTI ID:
1415638
Report Number(s):
FERMILAB-CONF--17-578-CD; 1638628
Journal Information:
Journal of Physics. Conference Series, Journal Name: Journal of Physics. Conference Series Journal Issue: 9 Vol. 898; ISSN 1742-6588
Publisher:
IOP PublishingCopyright Statement
Country of Publication:
United States
Language:
English

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Related Subjects

72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
97 MATHEMATICS AND COMPUTING