A Scalable Monitoring for the CMS Filter Farm Based on Elasticsearch
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.
- Research Organization:
- Fermi National Accelerator Lab. (FNAL), Batavia, IL (United States)
- Sponsoring Organization:
- USDOE Office of Science (SC), High Energy Physics (HEP)
- DOE Contract Number:
- AC02-07CH11359
- OSTI ID:
- 1247520
- Report Number(s):
- FERMILAB-CONF-15-602-E; CMS-CR-2015-060; 1414058
- Journal Information:
- J.Phys.Conf.Ser., Vol. 664, Issue 8; Conference: 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 04/13-04/17/2015
- Country of Publication:
- United States
- Language:
- English
Similar Records
File-Based Data Flow in the CMS Filter Farm
A Scalable Online Monitoring System Based on Elasticsearch for Distributed Data Acquisition in Cms