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Title: PD2P: PanDA Dynamic Data Placement for ATLAS

Abstract

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.

Authors:
 [1];  [2];  [1]
  1. Brookhaven National Lab. (BNL), Upton, NY (United States)
  2. Univ. of Texas, Arlington, TX (United States)
Publication Date:
Research Org.:
Brookhaven National Lab. (BNL), Upton, NY (United States)
Sponsoring Org.:
USDOE Office of Science (SC)
OSTI Identifier:
1073016
Report Number(s):
BNL-100592-2013-JA
Journal ID: ISSN 1742-6588; KA1101021
DOE Contract Number:  
AC02-98CH10886
Resource Type:
Journal Article
Journal Name:
Journal of Physics. Conference Series
Additional Journal Information:
Journal Volume: 396; Journal Issue: 3; Journal ID: ISSN 1742-6588
Publisher:
IOP Publishing
Country of Publication:
United States
Language:
English
Subject:
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS

Citation Formats

Maeno, T., De, K., and Panitkin, S.. PD2P: PanDA Dynamic Data Placement for ATLAS. United States: N. p., 2012. Web. doi:10.1088/1742-6596/396/3/032070.
Maeno, T., De, K., & Panitkin, S.. PD2P: PanDA Dynamic Data Placement for ATLAS. United States. doi:10.1088/1742-6596/396/3/032070.
Maeno, T., De, K., and Panitkin, S.. Thu . "PD2P: PanDA Dynamic Data Placement for ATLAS". United States. doi:10.1088/1742-6596/396/3/032070.
@article{osti_1073016,
title = {PD2P: PanDA Dynamic Data Placement for ATLAS},
author = {Maeno, T. and De, K. and Panitkin, S.},
abstractNote = {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.},
doi = {10.1088/1742-6596/396/3/032070},
journal = {Journal of Physics. Conference Series},
issn = {1742-6588},
number = 3,
volume = 396,
place = {United States},
year = {2012},
month = {12}
}