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Alert Messaging in the CMS Distributed Workflow System / Maxa, Zdenek (Caltech) /CMS Collaboration
WMAgent is the core component of the CMS workload management system. One of the features of this job managing platform is a configurable messaging system aimed at generating, distributing and processing alerts: short messages describing a given alert-worthy informational or pathological condition. Apart from the framework's sub-components running within the WMAgent instances, there is a stand-alone application collecting alerts from all WMAgent instances running across the CMS distributed computing environment. The alert framework has a versatile design that allows for receiving alert messages also from other CMS production applications, such as PhEDEx data transfer manager. [...]
CMS-CR-2012-119.- Geneva : CERN, 2012 - 7 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032074 Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032074

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(91)

The CMS workload management system / Cinquilli, Mattia (UC, San Diego) ; Evans, D (Fermilab) ; Foulkes, Stephen (Fermilab) ; Hufnagel, Dirk (Fermilab) ; Mascheroni, Marco (NICPB, Tallinn) ; Norman, Matthew (UC, San Diego) ; Maxa, Zdenek (Caltech) ; Melo, Andrew Malone (Vanderbilt U.) ; Metson, Simon (Bristol U.) ; Riahi, Hassen (INFN, Perugia ; Perugia U.) et al.
CMS has started the process of rolling out a new workload management system. This system is currently used for reprocessing and monte carlo production with tests under way using it for user analysis. It was decided to combine, as much as possible, the production/processing, analysis and T0 codebases so as to reduce duplicated functionality and make best use of limited developer and testing resources. This system now includes central request submission and management (Request Manager); a task queue for parcelling up and distributing work (WorkQueue) and agents which process requests by interfacing with disparate batch and storage resources (WMAgent)..
CMS-CR-2012-105.- Geneva : CERN, 2012 - 12 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032113
Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032113

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(85)

Powering physics data transfers with FDT / Maxa, Zdenek (Caltech) /CMS Collaboration
We present a data transfer system for the grid environment built on top of the open source FDT tool (Fast Data Transfer) developed by Caltech in collaboration with the National University of Science and Technology (Pakistan). The enhancement layer above FDT consists of a client program - fdtcp (FDT copy) and a fdtd service (FDT daemon). [...]
CMS-CR-2011-023.- Geneva : CERN, 2011 - 7 p. Fulltext: PDF;
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010

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(30)

Migrate the CMS Production Workload Management system from CouchDB 1.6.x to CouchDB 3.1.x / Uetrecht, Max
The CMS Production Workload Management system drives all the Monte Carlo and data processing activities in the Experiment: through it millions of jobs are submitted to the World Wide Computing Grid every month, making it a crucial component in the CMS Computing Infrastructure. [...]
CERN-STUDENTS-Note-2021-100. - 2021
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A gLite FTS based solution for managing user output in CMS / Spiga, Daniele (CERN) /CMS Collaboration
The CMS distributed data analysis workflow assumes that jobs run in a different location to where their results are finally stored. Typically the user output must be transferred across the network from one site to another, possibly on a different continent or over links not necessarily validated for high bandwidth/high reliability transfer. [...]
CMS-CR-2012-141.- Geneva : CERN, 2012 - 13 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032025
Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032025

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CHEP2012 / Cinquilli, M (CERN) ; Riahi, H ; Spiga, D ; Grandi, C ; Mascheroni, M ; Pepe, F ; Vaandering, E
The CMS distributed data analysis workflow assumes that jobs run in a different location from where their results are finally stored. [...]
CERN-IT-Note-2012-010 ; IOP Conference Series, CHEP2012 Proceedings. - 2012. - 12 p.
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The WorkQueue project - a task queue for the CMS workload management system / Ryu, S (Fermilab) ; Wakefield, Stuart Lee (Imperial Coll., London)
We present the development and first experience of a new component (termed WorkQueue) in the CMS workload management system. This component provides a link between a global request system (Request Manager) and agents (WMAgents) which process requests at compute and storage resources (known as sites). These requests typically consist of creation or processing of a data sample (possibly terabytes in size). Unlike the standard concept of a task queue, the WorkQueue does not contain fully resolved work units (known typically as jobs in HEP). [...]
CMS-CR-2012-106.- Geneva : CERN, 2012 - 6 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 032114 Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032114

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A new era for central processing and production in CMS / Fajardo Hernandez,Edgar Mauricio (Andes U., Bogota) /CMS Collaboration
The goal for CMS computing is to maximise the throughput of simulated event generation while also processing the real data events as quickly and reliably as possible. To maintain this achievement as the quantity of events increases, since the beginning of 2011 CMS computing has migrated at the Tier 1 level from its old production framework, ProdAgent, to a new one, WMAgent. [...]
CMS-CR-2012-070.- Geneva : CERN, 2012 - 9 p. - Published in : J. Phys.: Conf. Ser. 396 (2012) 042018 Fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.042018

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Scalable monitoring data processing for the LHCb software trigger / Petrucci, Stefano (Edinburgh U.) ; Matev, Rosen (CERN) ; Aaij, Roel (Nikhef, Amsterdam)
The LHCb High Level Trigger (HLT) is split in two stages. HLT1 is synchronous with collisions delivered by the LHC and writes its output to a local disk buffer, which is asynchronously processed by HLT2. [...]
2020 - 7 p. - Published in : EPJ Web Conf. 245 (2020) 01039 Fulltext from publisher: PDF;
In : 24th International Conference on Computing in High Energy and Nuclear Physics, Adelaide, Australia, 4 - 8 Nov 2019, pp.01039

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Analysing CMS transfers using Machine Learning techniques / Diotalevi, Tommaso
LHC experiments transfer more than 10 PB/week between all grid sites using the FTS transfer service. [...]
CERN-STUDENTS-Note-2016-243. - 2016
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