A scalable monitoring for the CMS Filter Farm based on elasticsearch
Name
A scalable monitoring.pdf
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1.55 MB
Format
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Checksum (MD5)
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Author(s)
Andre, J-M
Andronidis, A
Behrens, U
Branson, J
Chaze, O
Cittolin, S
Deldicque, C
Dobson, M
Dupont, A
Erhan, S
Date Issued
December 2015
Journal
Journal of Physics: Conference Series
Publisher
IOP Publishing
Citation
Andre, J-M; Andronidis, A; Behrens, U; Branson, J; Chaze, O; Cittolin, S; Darlea, G-L et al. “A Scalable Monitoring for the CMS Filter Farm Based on Elasticsearch.” Journal of Physics: Conference Series 664, no. 8 (December 2015): 082036. © Copyright 2015 IOP Publishing
Version
Final published version
Abstract
A flexible monitoring system has been designed for the CMS File-based Filter Farm making use of modern data mining and analytics components. All the metadata and monitoring information concerning data flow and execution of the HLT are generated locally in the form of small documents using the JSON encoding. These documents are indexed into a hierarchy of elasticsearch (es) clusters along with process and system log information. Elasticsearch is a search server based on Apache Lucene. It provides a distributed, multitenant-capable search and aggregation engine. Since es is schema-free, any new information can be added seamlessly and the unstructured information can be queried in non-predetermined ways. The leaf es clusters consist of the very same nodes that form the Filter Farm thus providing natural horizontal scaling. A separate central" es cluster is used to collect and index aggregated information. The fine-grained information, all the way to individual processes, remains available in the leaf clusters. The central es cluster provides quasi-real-time high-level monitoring information to any kind of client. Historical data can be retrieved to analyse past problems or correlate them with external information. We discuss the design and performance of this system in the context of the CMS DAQ commissioning for LHC Run 2.
MIT Department
Massachusetts Institute of Technology. Department of Physics
Massachusetts Institute of Technology. Laboratory for Nuclear Science
Terms of Use
Creative Commons Attribution 3.0 Unported license
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1088/1742-6596/664/8/082036
