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Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)

Physics analysis at the Compact Muon Solenoid requires both the production of simulated events and processing of the data collected by the experiment. Since the end of the LHC Run-I in 2012, CMS has produced over 20 billion simulated events, from 75 thousand processing requests organised in one hund...

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Autores principales: Norkus, Antanas, Franzoni, G, Pol, A A, Srimanobhas, N, Walker, J
Lenguaje:eng
Publicado: 2017
Materias:
Acceso en línea:https://dx.doi.org/10.1088/1742-6596/898/9/092038
http://cds.cern.ch/record/2253530
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author Norkus, Antanas
Franzoni, G
Pol, A A
Srimanobhas, N
Walker, J
author_facet Norkus, Antanas
Franzoni, G
Pol, A A
Srimanobhas, N
Walker, J
author_sort Norkus, Antanas
collection CERN
description Physics analysis at the Compact Muon Solenoid requires both the production of simulated events and processing of the data collected by the experiment. Since the end of the LHC Run-I in 2012, CMS has produced over 20 billion simulated events, from 75 thousand processing requests organised in one hundred different campaigns. These campaigns emulate different configurations of collision events, the detector, and LHC running conditions. In the same time span, sixteen data processing campaigns have taken place to reconstruct different portions of the Run-I and Run-II data with ever improving algorithms and calibrations. The scale and complexity of the events simulation and processing, and the requirement that multiple campaigns must proceed in parallel, demand that a comprehensive, frequently updated and easily accessible monitoring be made available. The monitoring must serve both the analysts, who want to know which and when datasets will become available, and the central production teams in charge of submitting, prioritizing, and running the requests across the distributed computing infrastructure. The Production Monitoring Platform (pMp) web-based service, has been developed in 2015 to address those needs. It aggregates information from multiple services used to define, organize, and run the processing requests. Information is updated hourly using a dedicated elastic database and the monitoring provides multiple configurable views to assess the status of single datasets as well as entire production campaigns. This contribution will describe the pMp development, the evolution of its functionalities, and one and half year of operational experience.
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spelling cern-22535302019-10-15T15:17:04Zdoi:10.1088/1742-6596/898/9/092038http://cds.cern.ch/record/2253530engNorkus, AntanasFranzoni, GPol, A ASrimanobhas, NWalker, JMonitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)Detectors and Experimental TechniquesPhysics analysis at the Compact Muon Solenoid requires both the production of simulated events and processing of the data collected by the experiment. Since the end of the LHC Run-I in 2012, CMS has produced over 20 billion simulated events, from 75 thousand processing requests organised in one hundred different campaigns. These campaigns emulate different configurations of collision events, the detector, and LHC running conditions. In the same time span, sixteen data processing campaigns have taken place to reconstruct different portions of the Run-I and Run-II data with ever improving algorithms and calibrations. The scale and complexity of the events simulation and processing, and the requirement that multiple campaigns must proceed in parallel, demand that a comprehensive, frequently updated and easily accessible monitoring be made available. The monitoring must serve both the analysts, who want to know which and when datasets will become available, and the central production teams in charge of submitting, prioritizing, and running the requests across the distributed computing infrastructure. The Production Monitoring Platform (pMp) web-based service, has been developed in 2015 to address those needs. It aggregates information from multiple services used to define, organize, and run the processing requests. Information is updated hourly using a dedicated elastic database and the monitoring provides multiple configurable views to assess the status of single datasets as well as entire production campaigns. This contribution will describe the pMp development, the evolution of its functionalities, and one and half year of operational experience.CMS-CR-2017-040oai:cds.cern.ch:22535302017-02-17
spellingShingle Detectors and Experimental Techniques
Norkus, Antanas
Franzoni, G
Pol, A A
Srimanobhas, N
Walker, J
Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title_full Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title_fullStr Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title_full_unstemmed Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title_short Monitoring of the data processing and simulated production at CMS with a web-based service the Production Monitoring Platform (pMp)
title_sort monitoring of the data processing and simulated production at cms with a web-based service the production monitoring platform (pmp)
topic Detectors and Experimental Techniques
url https://dx.doi.org/10.1088/1742-6596/898/9/092038
http://cds.cern.ch/record/2253530
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