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1.
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WLCG Monitoring Consolidation and further evolution
/ Saiz, P (CERN) ; Aimar, A (CERN) ; Andreeva, J (CERN) ; Babik, M (CERN) ; Cons, L (CERN) ; Dzhunov, I (CERN) ; Forti, A (Manchester U.) ; di Girolamo, A (CERN) ; Karavakis, E (CERN) ; Litmaath, M (CERN) et al.
The WLCG monitoring system solves a challenging task of keeping track of the LHC computing activities on the WLCG infrastructure, ensuring health and performance of the distributed services at more than 170 sites. The challenge consists of decreasing the effort needed to operate the monitoring service and to satisfy the constantly growing requirements for its scalability and performance. [...]
2015 - 8 p.
- Published in : J. Phys.: Conf. Ser. 664 (2015) 062054
IOP Open Access article: PDF;
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015, pp.062054
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2.
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Processing of the WLCG monitoring data using NoSQL
/ Andreeva, J (CERN) ; Beche, A (CERN) ; Belov, S ; Dzhunov, I ; Kadochnikov, I ; Karavakis, E (CERN) ; Saiz, P (CERN) ; Schovancova, J ; Tuckett, D (CERN)
The Worldwide LHC Computing Grid (WLCG) today includes more than 150 computing centres where more than 2 million jobs are being executed daily and petabytes of data are transferred between sites. Monitoring the computing activities of the LHC experiments, over such a huge heterogeneous infrastructure, is extremely demanding in terms of computation, performance and reliability. [...]
2014 - 7 p.
- Published in : J. Phys.: Conf. Ser. 513 (2014) 032048
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.032048
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3.
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Towards a centralized Grid Speedometer
/ Dzhunov, I (CERN) ; Andreeva, J (CERN) ; Fajardo, E ; Gutsche, O ; Luyckx, S ; Saiz, P (CERN)
Given the distributed nature of the Worldwide LHC Computing Grid and the way CPU resources are pledged and shared around the globe, Virtual Organizations (VOs) face the challenge of monitoring the use of these resources. For CMS and the operation of centralized workflows, the monitoring of how many production jobs are running and pending in the Glidein WMS production pools is very important. [...]
FERMILAB-CONF-13-495-CD.-
2014 - 5 p.
- Published in : J. Phys.: Conf. Ser. 513 (2014) 032028
External links: FERMILABCONF; Fulltext
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.032028
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4.
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Experiment Dashboard: A generic, scalable solution for monitoring of the LHC computing activities, distributed sites and services
/ Andreeva, J (CERN) ; Cinquilli, M (CERN) ; Dieguez, D (CERN) ; Dzhunov, I (CERN) ; Karavakis, E (CERN) ; Karhula, P (CERN) ; Kenyon, M (CERN) ; Kokoszkiewicz, L (CERN) ; Nowotka, M (CERN) ; Ro, G (CERN) et al.
The Experiment Dashboard system provides common solutions for monitoring job processing, data transfers and site/service usability. Over the last seven years, it proved to play a crucial role in the monitoring of the LHC computing activities, distributed sites and services. [...]
2012 - 10 p.
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032093
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5.
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Key developments of the Ganga task-management framework
/ Dzhunov, IA (Sofiya U.) ; Kenyon, M J (CERN) ; Moscicki, J (CERN) ; Richards, A J (Imperial Coll., London) ; Slater, M W (Birmingham U.) ; Brochu, F (Trinity Coll., Cambridge) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Lee, H (NIKHEF, Amsterdam) ; Van Der Ster, D C (CERN) et al.
Ganga is the main end-user distributed analysis tool for the ATLAS and LHCb experiments and provides the foundation layer for the HammerCloud system, used by the LHC experiments for validation and stress testing of their numerous distributed computing facilities. Here we illustrate recent developments and demonstrate how tools that were initially developed for a specific user community have been migrated into the Ganga core, and so can be exploited by a wider user-base. [...]
2012 - 9 p.
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.032061
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6.
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Designing and developing portable large-scale JavaScript web applications within the Experiment Dashboard framework
/ Andreeva, J (CERN) ; Dzhunov, I (CERN) ; Karavakis, E (CERN) ; Kokoszkiewicz, L (CERN) ; Nowotka, M (CERN) ; Saiz, P (CERN) ; Tuckett, D (CERN)
Improvements in web browser performance and web standards compliance, as well as the availability of comprehensive JavaScript libraries, provides an opportunity to develop functionally rich yet intuitive web applications that allow users to access, render and analyse data in novel ways. However, the development of such large-scale JavaScript web applications presents new challenges, in particular with regard to code sustainability and team-based work. [...]
CERN-IT-Note-2012-023.-
Geneva : CERN, 2012 - 11 p.
Access to fulltext: PDF;
In : Computing in High Energy and Nuclear Physics 2012, New York, NY, USA, 21 - 25 May 2012, pp.052069
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7.
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Reinforcing user data analysis with Ganga in the LHC era: scalability, monitoring and user-support.
/ Brochu, F (Cambridge U.) ; Dzhunov, I (CERN) ; Ebke, J (Munich U.) ; Egede, U (Imperial Coll., London) ; Elmsheuser, J (Munich U.) ; Jha, M K (INFN, Bologna) ; Kokoszkiewicz, L (CERN) ; Lee, H C (NIKHEF, Amsterdam) ; Maier, A (CERN) ; Moscicki, J (CERN) et al.
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments and several other communities in the context of the EGEE project. [...]
ATL-SOFT-PROC-2011-011.
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2011. - 7 p.
Original Communication (restricted to ATLAS) - Full text
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8.
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Reinforcing User Data Analysis with Ganga in the LHC Era: Scalability, Monitoring and User-support
/ Brochu, F (University of Cambridge) ; Dzhunov, I (CERN) ; Ebke, J (Ludwig-Maximilians-Universitat Munchen) ; Egede, U (Imperial College London) ; Elmsheuser, J (Ludwig-Maximilians-Universitat Munchen) ; Jha, M K (INFN Bologna) ; Kokoszkiewicz, L (CERN) ; Lee, H C (NIKHEF) ; Maier, A (CERN) ; Moscicki, J (CERN) et al.
Ganga is a grid job submission and management system widely used in the ATLAS and LHCb experiments and several other communities in the context of the EGEE project. The particle physics communities have entered the LHC operation era which brings new challenges for user data analysis: a strong growth in the number of users and jobs is already noticable. [...]
ATL-SOFT-SLIDE-2010-363.-
Geneva : CERN, 2010
Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : Conference on Computing in High Energy and Nuclear Physics 2010, Taipei, Taiwan, 18 - 22 Oct 2010
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