Job life cycle management libraries for CMS workflow management projects

Scientific analysis and simulation requires the processing and generation of millions of data samples. These tasks are often comprised of multiple smaller tasks divided over multiple (computing) sites. This paper discusses the Compact Muon Solenoid (CMS) workflow infrastructure, and specifically the...

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Bibliographic Details
Published inJournal of physics. Conference series Vol. 219; no. 4; p. 042024
Main Authors Lingen, Frank van, Evans, Dave, Metson, Simon, Wakefield, Stuart, Wilkinson, Rick, Jackson, James, Spiga, Daniele, Foulkes, Stephen, Afaq, Anzar, Kuznetsov, Valentin, Vaandering, Eric, Ryu, Seangchan, Farina, Fabio, Codispoti, Giuseppe, Cinquilli, Mattia
Format Journal Article
LanguageEnglish
Published Bristol IOP Publishing 01.04.2010
Subjects
Data management
Infrastructure
Large Hadron Collider
Libraries
Maintenance costs
Physics
Project management
Solenoids
Specifications
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Summary:Scientific analysis and simulation requires the processing and generation of millions of data samples. These tasks are often comprised of multiple smaller tasks divided over multiple (computing) sites. This paper discusses the Compact Muon Solenoid (CMS) workflow infrastructure, and specifically the Python based workflow library which is used for so called task lifecycle management. The CMS workflow infrastructure consists of three layers: high level specification of the various tasks based on input/output data sets, life cycle management of task instances derived from the high level specification and execution management. The workflow library is the result of a convergence of three CMS sub projects that respectively deal with scientific analysis, simulation and real time data aggregation from the experiment. This will reduce duplication and hence development and maintenance costs.
ISSN:1742-6596
1742-6588
1742-6596
DOI:10.1088/1742-6596/219/4/042024