Published December 13, 2012
| Version v1
Journal article
PD2P: PanDA Dynamic Data Placement for ATLAS
Creators
- 1. Brookhaven National Laboratory, NY (United States)
- 2. University of Texas at Arlington, TX (United States)
Description
The PanDA (Production and Distributed Analysis) system plays a key role in the ATLAS distributed computing infrastructure. PanDA is the ATLAS workload management system for processing all Monte-Carlo (MC) simulation and data reprocessing jobs in addition to user and group analysis jobs. The PanDA Dynamic Data Placement (PD2P) system has been developed to cope with difficulties of data placement for ATLAS. We will describe the design of the new system, its performance during the past year of data taking, dramatic improvements it has brought about in the efficient use of storage and processing resources, and plans for the future.
Availability note (English)
Available from http://dx.doi.org/10.1088/1742-6596/396/3/032070Additional details
Identifiers
Publishing Information
- Journal Title
- Journal of Physics. Conference Series (Online)
- Journal Volume
- 396
- Journal Issue
- 3
- Journal Page Range
- [7 p.]
- ISSN
- 1742-6596
Conference
- Title
- International conference on computing in high energy and nuclear physics 2012
- Acronym
- CHEP2012
- Dates
- 21-25 May 2012
- Place
- New York, NY (United States)
INIS
- Country of Publication
- United Kingdom
- Country of Input or Organization
- International Atomic Energy Agency (IAEA)
- INIS RN
- 44038076
- Subject category
- S46: INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY; S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- COLLIDING BEAMS; COMPUTER CALCULATIONS; COMPUTER CODES; COMPUTER NETWORKS; COMPUTERIZED SIMULATION; DATA ACQUISITION SYSTEMS; DATA BASE MANAGEMENT; DISTRIBUTED DATA PROCESSING; MEMORY DEVICES; MONTE CARLO METHOD; MULTIPARTICLE SPECTROMETERS; MULTIPLE PRODUCTION; PARTICLE IDENTIFICATION; PERFORMANCE; RESOURCE MANAGEMENT
- Descriptors DEC
- BEAMS; CALCULATION METHODS; DATA PROCESSING; MANAGEMENT; MEASURING INSTRUMENTS; PARTICLE PRODUCTION; PROCESSING; SIMULATION; SPECTROMETERS