Published June 11, 2014 | Version v1
Journal article

Processing of the WLCG monitoring data using NoSQL

  • 1. CERN, European Organization for Nuclear Research (Switzerland)
  • 2. Joint Inst. for Nuclear Research (Russian Federation)
  • 3. Brookhaven National Laboratory (United States)

Description

The Worldwide LHC Computing Grid (WLCG) today includes more than 150 computing centres where more than 2 million jobs are being executed daily and petabytes of data are transferred between sites. Monitoring the computing activities of the LHC experiments, over such a huge heterogeneous infrastructure, is extremely demanding in terms of computation, performance and reliability. Furthermore, the generated monitoring flow is constantly increasing, which represents another challenge for the monitoring systems. While existing solutions are traditionally based on Oracle for data storage and processing, recent developments evaluate NoSQL for processing large-scale monitoring datasets. NoSQL databases are getting increasingly popular for processing datasets at the terabyte and petabyte scale using commodity hardware. In this contribution, the integration of NoSQL data processing in the Experiment Dashboard framework is described along with first experiences of using this technology for monitoring the LHC computing activities.

Availability note (English)

Available from http://dx.doi.org/10.1088/1742-6596/513/3/032048

Additional details

Publishing Information

Journal Title
Journal of Physics. Conference Series (Online)
Journal Volume
513
Journal Issue
3
Journal Page Range
[7 p.]
ISSN
1742-6596

Conference

Title
20. international conference on computing in high energy and nuclear physics
Acronym
CHEP2013
Dates
14-18 Oct 2013
Place
Amsterdam (Netherlands)

INIS

Country of Publication
United Kingdom
Country of Input or Organization
International Atomic Energy Agency (IAEA)
INIS RN
46083189
Subject category
S97: MATHEMATICAL METHODS AND COMPUTING;
Resource subtype / Literary indicator
Conference
Descriptors DEI
CALCULATION METHODS; CERN LHC; DATA BASE MANAGEMENT; DATA PROCESSING; DATASETS; MATHEMATICAL SOLUTIONS; MONITORING; PARALLEL PROCESSING; PERFORMANCE; RELIABILITY
Descriptors DEC
ACCELERATORS; CYCLIC ACCELERATORS; DOCUMENT TYPES; MANAGEMENT; PROCESSING; PROGRAMMING; STORAGE RINGS; SYNCHROTRONS