Dashboard for the LHC experiments

Andreeva, Julia; Belov, Sergey; Berejnoj, A; Cirstoiu, C; Chen, Y; Chen, T; Chiu, Shao‐Chih; Miguel, M D F D; Ivanchenko, A.; Gaidioz, Benjamin; Herrala, Juha; Janulis, M.; Kodolova, O.; Maier, Gerhild; Maguire, Eamonn; Munro, C.; Rivera, Raquel Pezoa; Rocha, Ricardo; Sáiz, Pablo; Sidorova, I. B.; Tsai, Fuan; Tikhonenko, E.; Urbah, Etienne

doi:10.1088/1742-6596/119/6/062008

Cited by 16 publications

(10 citation statements)

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“…These are the results obtained considering the statistics achieved from July 2008 to March 2009 and the related data have been achieved by the CMS monitoring project (DashBoard) [17] These results are of course an important indication that something must be done in order to improve the overall analysis job efficiency. A part of the irreducible fraction of failures due to problems within the user own code, CRAB probabily could help on this.…”

Section: Resultsmentioning

confidence: 81%

Automation of user analysis workflow in CMS

Cinquilli¹,

Codispoti²,

Fanfani³

et al. 2010

J. Phys.: Conf. Ser.

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CMS has a distributed computing model, based on a hierarchy of tiered regional computing centres. However, the end physicist is not interested in the details of the computing model nor the complexity of the underlying infrastructure, but only to access and use efficiently and easily the remote services. The CMS Remote Analysis Builder (CRAB) is the official CMS tool that allows the access to the distributed data in a transparent way. We present the current development direction, which is focused on improving the interface presented to the user and adding intelligence to CRAB such that it can be used to automate more and more the work done on behalf of user. We also present the status of deployment of the CRAB system and the lessons learnt in deploying this tool to the CMS collaboration. Energy and Nuclear Physics,21-27 March 2007,Prague,Czech republic,15/05/2009 Automation of user analysis workflow in CMS Abstract. CMS has a distributed computing model, based on a hierarchy of tiered regional computing centres. However, the end physicist is not interested in the details of the computing model nor the complexity of the underlying infrastructure, but only to access and use efficiently and easily the remote services. The CMS Remote Analysis Builder (CRAB) is the official CMS tool that allows the access to the distributed data in a transparent way. We present the current development direction, which is focused on improving the interface presented to the user and adding intelligence to CRAB such that it can be used to automate more and more the work done on behalf of user. We also present the status of deployment of the CRAB system and the lessons learnt in deploying this tool to the CMS collaboration. Presented at 17th International Conference on Computing in High IntroductionThe Compact Muon Solenoid (CMS) experiment [1] is one of the two general purpose physics experiments at the European Laboratory for Particle Physics (CERN) [2] which is starting operation in 2009. The scientific analysis of data taken by the detector and MonteCarlo events simulation requires a large amount of well organized computing resources. To guarantee more than 2000 CMS collaborators located in 40 countries around the world to be able to carry out their physics analysis with minimal geographical and processing constraints the CMS experiment has had a worldwide distributed computing model [3] from the beginning. The CMS distributed model implements the Grid middleware to manage three main levels, or tiers, of computing. Tier 0 (T0) is located at CERN where the accelerator and experiment are located and includes 20% of the total required computing resources of CMS. The next level is represented by Tier 1 (T1) regional centers which represent 40% followed by the Tier 2 (T2) centers which represent another 40% of the total required computing resources of CMS. Each Tier level has its well defined responsibilities mainly differentiated by their resources dedication. Also a set of specialized tools have been developed on top of World...

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Section: Resultsmentioning

confidence: 81%

Automation of user analysis workflow in CMS

Cinquilli¹,

Codispoti²,

Fanfani³

et al. 2010

J. Phys.: Conf. Ser.

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“…The first version was deployed for testing in summer 2009 and put into production in early 2010. The system is currently based on the ARDA Dashboard web server (an extension of Apache server written in Python) [7], which connects directly to the Tier-0 database to retrieve real-time performance data, which are then served to the client usually in JSON format [8].…”

Section: New Tier-0 Monitoring System -Contzolementioning

confidence: 99%

ATLAS Operations: Experience and Evolution in the Data Taking Era

Ueda

2011

J. Phys.: Conf. Ser.

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“…In particular the CMS Dashboard [6] provides a source of information on the status of all the components of the CMS computing infrastructure. In figure 6 is shown a "map" of all CMS sites from which it is possible to have an overall feeling of the status.…”

Section: Tier-1 Monitoringmentioning

confidence: 99%

Experience building and operating the CMS Tier-1 computing centres

Albert¹,

Bakken²,

Bonacorsi

et al. 2010

J. Phys.: Conf. Ser.

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Abstract. The CMS Collaboration relies on 7 globally distributed Tier-1 computing centres located at large universities and national laboratories for a second custodial copy of the CMS RAW data and primary copy of the simulated data, data serving capacity to Tier-2 centres for analysis, and the bulk of the reprocessing and event selection capacity in the experiment. The Tier-1 sites have a challenging role in CMS because they are expected to ingest and archive data from both CERN and regional Tier-2 centres, while they export data to a global mesh of Tier-2s at rates comparable to the raw export data rate from CERN. The combined capacity of the Tier-1 centres is more than twice the resources located at CERN and efficiently utilizing this large distributed resources represents a challenge. In this article we will discuss the experience building, operating, and utilizing the CMS Tier-1 computing centres. We will summarize the facility challenges at the Tier-1s including the stable operations of CMS services, the ability to scale to large numbers of processing requests and large volumes of data, and the ability to provide custodial storage and high performance data serving. We will also present the operations experience utilizing the distributed Tier-1 centres from a distance: transferring data, submitting data serving requests, and submitting batch processing requests.

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Dashboard for the LHC experiments

Cited by 16 publications

References 0 publications

Automation of user analysis workflow in CMS

Automation of user analysis workflow in CMS

ATLAS Operations: Experience and Evolution in the Data Taking Era

Experience building and operating the CMS Tier-1 computing centres

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