Monitoring data transfer latency in CMS computing operations

Journal Article · Wed Dec 23 00:00:00 EST 2015 · Journal of Physics. Conference Series

DOI:https://doi.org/10.1088/1742-6596/664/3/032033· OSTI ID:1346387

Bonacorsi, Daniele ^[1]; Diotalevi, Tommaso ^[1]; Magini, Nicolo ^[2]; Sartirana, A. ^[3]; Taze, Meric ^[4]; Wildish, Tony ^[5]

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1. Univ. of Bologna (Italy)
2. Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
3. Ecole Polytechnique of Paris, Palaiseau (France)
4. Cukurova Univ. (Turkey)
5. Princeton Univ., Princeton, NJ (United States)

During the first LHC run, the CMS experiment collected tens of Petabytes of collision and simulated data, which need to be distributed among dozens of computing centres with low latency in order to make efficient use of the resources. While the desired level of throughput has been successfully achieved, it is still common to observe transfer workflows that cannot reach full completion in a timely manner due to a small fraction of stuck files which require operator intervention.For this reason, in 2012 the CMS transfer management system, PhEDEx, was instrumented with a monitoring system to measure file transfer latencies, and to predict the completion time for the transfer of a data set. The operators can detect abnormal patterns in transfer latencies while the transfer is still in progress, and monitor the long-term performance of the transfer infrastructure to plan the data placement strategy.Based on the data collected for one year with the latency monitoring system, we present a study on the different factors that contribute to transfer completion time. As case studies, we analyze several typical CMS transfer workflows, such as distribution of collision event data from CERN or upload of simulated event data from the Tier-2 centres to the archival Tier-1 centres. For each workflow, we present the typical patterns of transfer latencies that have been identified with the latency monitor.We identify the areas in PhEDEx where a development effort can reduce the latency, and we show how we are able to detect stuck transfers which need operator intervention. Lastly, we propose a set of metrics to alert about stuck subscriptions and prompt for manual intervention, with the aim of improving transfer completion times.

• 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: 1346387
• Report Number(s): FERMILAB-CONF-15-659-CMS; 1413830
• Journal Information: Journal of Physics. Conference Series, Vol. 664, Issue 3; ISSN 1742-6588
• Publisher: IOP Publishing
• Country of Publication: United States
• Language: English

Related Subjects

97 MATHEMATICS AND COMPUTING