CERN Accelerating science

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1.
gLExec Integration with the ATLAS PanDA Workload Management System / Karavakis, Edward (CERN) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Campana, Simone (CERN) ; De, Kaushik (The University of Texas at Arlington) ; Di Girolamo, Alessandro (CERN) ; Litmaath, Maarten (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Medrano Llamas, Ramon (CERN) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
ATLAS user jobs are executed on Worker Nodes (WNs) by pilots sent to sites by pilot factories. [...]
ATL-SOFT-PROC-2015-011.
- 2015. - 7 p.
Original Communication (restricted to ATLAS) - Full text - IOP Open Access article
2.
gLExec Integration with the ATLAS PanDA Workload Management System / Edward Karavakis (CERN) ; Barreiro Megino, Fernando Harald (The University of Texas at Arlington) ; Campana, Simone (CERN) ; De, Kaushik (The University of Texas at Arlington) ; Di Girolamo, Alessandro (CERN) ; Maarten Litmaath (CERN) ; Maeno, Tadashi (Brookhaven National Laboratory (BNL)) ; Medrano Llamas, Ramon (CERN) ; Nilsson, Paul (Brookhaven National Laboratory (BNL)) ; Wenaus, Torre (Brookhaven National Laboratory (BNL))
The ATLAS Experiment at the Large Hadron Collider has collected data during Run 1 and is ready to collect data in Run 2. The ATLAS data are distributed, processed and analysed at more than 130 grid and cloud sites across the world. [...]
ATL-SOFT-SLIDE-2015-070.- Geneva : CERN, 2015 - 1 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 21st International Conference on Computing in High Energy and Nuclear Physics, Okinawa, Japan, 13 - 17 Apr 2015
3. Helix Nebula and CERN: A Symbiotic approach to exploiting commercial clouds
Reference: Poster-2013-392
Created: 2013. -1 p
Creator(s): Barreiro Megino, Fernando Harald; Jones, Robert; Kucharczyk, Katarzyna; Medrano Llamas, Ramón; van der Ster, Daniel

The recent paradigm shift toward cloud computing in IT, and general interest in "Big Data" in particular, have demonstrated that the computing requirements of HEP are no longer globally unique. Indeed, the CERN IT department and LHC experiments have already made significant R&D; investments in delivering and exploiting cloud computing resources. While a number of technical evaluations of interesting commercial offerings from global IT enterprises have been performed by various physics labs, further technical, security, sociological, and legal issues need to be address before their large-scale adoption by the research community can be envisaged. Helix Nebula - the Science Cloud is an initiative that explores these questions by joining the forces of three European research institutes (CERN, ESA and EMBL) with leading European commercial IT enterprises. The goals of Helix Nebula are to establish a cloud platform federating multiple commercial cloud providers, along with new business models, which can sustain the cloud marketplace for years to come. This contribution will summarize the participation of CERN in Helix Nebula. We will explain CERN's flagship use-case and the model used to integrate several cloud providers with an LHC experiment's workload management system. During the first proof of concept, this project contributed over 40.000 CPU-days of Monte Carlo production throughput to the ATLAS experiment with marginal manpower required. CERN's experience, together with that of ESA and EMBL, is providing a great insight into the cloud computing industry and highlighted several challenges that are being tackled in order to ease the export of the scientific workloads to the cloud environments.

Presented at 20th International Conference on Computing in High Energy and Nuclear Physics 2013 Amsterdam, Netherlands 14 - 18 Oct 2013 2014 , (list conference papers) Related links:
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4.
Helix Nebula and CERN: A Symbiotic approach to exploiting commercial clouds / Barreiro Megino, Fernando Harald (CERN) ; Jones, Robert (CERN) ; Kucharczyk, Katarzyna (CERN) ; Medrano Llamas, Ramón (CERN) ; van der Ster, Daniel (CERN)
The recent paradigm shift toward cloud computing in IT, and general interest in "Big Data" in particular, have demonstrated that the computing requirements of HEP are no longer globally unique. Indeed, the CERN IT department and LHC experiments have already made significant R&D; investments in delivering and exploiting cloud computing resources. [...]
CERN-IT-2013-004.- Geneva : CERN, 2014 - 5 p. - Published in : J. Phys.: Conf. Ser. 513 (2014) 032067 Fulltext: PDF;
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.032067
5.
Commissioning the CERN IT Agile Infrastructure with experiment workloads / Medrano Llamas, Ramón (CERN) ; Barreiro Megino, Fernando Harald (CERN) ; Kucharczyk, Katarzyna (CERN) ; Denis, Marek Kamil (CERN) ; Cinquilli, Mattia (CERN)
In order to ease the management of their infrastructure, most of the WLCG sites are adopting cloud based strategies. In the case of CERN, the Tier 0 of the WLCG, is completely restructuring the resource and configuration management of their computing center under the codename Agile Infrastructure. [...]
CERN-IT-2013-003.- Geneva : CERN, 2014 - 6 p. - Published in : J. Phys.: Conf. Ser. 513 (2014) 032066 Fulltext: PDF;
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.032066
6.
Testing as a Service with HammerCloud / Medrano Llamas, Ramón (CERN) ; Barrand, Quentin (CERN) ; Elmsheuser, Johannes (Ludwig-Maximilians-Universitӓt München) ; Legger, Federica (Ludwig-Maximilians-Universitӓt München) ; Sciacca, Gianfranco (Universitӓt Bern) ; Sciabà, Andrea (CERN) ; van der Ster, Daniel (CERN)
HammerCloud was designed and born under the needs of the grid community to test the resources and automate operations from a user perspective. The recent developments in the IT space propose a shift to the software defined data centres, in which every layer of the infrastructure can be offered as a service. [...]
CERN-IT-2013-002.- Geneva : CERN, 2014 - 7 p. - Published in : J. Phys.: Conf. Ser. 513 (2014) 062031 Fulltext: DOCX;
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.062031
7.
ATLAS Cloud R&D / Panitkin, S (Brookhaven Natl. Lab.) ; Barreiro Megino, F (CERN) ; Caballero Bejar, J (Brookhaven Natl. Lab.) ; Benjamin, D (Duke U.) ; DiGirolamo, A (CERN) ; Gable, I (Victoria U.) ; Hendrix, V (LBL, Berkeley) ; Hover, J (Brookhaven Natl. Lab.) ; Kucharczuk, K (CERN) ; Medrano LLamas, R (CERN) et al.
The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. [...]
ATL-SOFT-PROC-2013-034.
- 2014. - 5 p.
Original Communication (restricted to ATLAS) - Full text
8.
Grid Site Testing for ATLAS with HammerCloud / Elmsheuser, J (Munich U.) ; Hoenig, F (Munich U.) ; Legger, F (Munich U.) ; Medrano LLamas, R (CERN) ; Sciacca, G (Bern U.) ; van der Ster, D (CERN)
With the exponential growth of LHC (Large Hadron Collider) data in 2012, distributed computing has become the established way to analyze collider data. [...]
ATL-SOFT-PROC-2013-027.
- 2014. - 5 p.
Original Communication (restricted to ATLAS) - Full text
9.
Next Generation PanDA Pilot for ATLAS and Other Experiments / Nilsson, P (Texas U., Arlington) ; Barreiro Megino, F (CERN) ; Caballero Bejar, J (Brookhaven Natl. Lab.) ; De, K (Texas U., Arlington) ; Hover, J (Brookhaven Natl. Lab.) ; Love, P (Lancaster U.) ; Maeno, T (Brookhaven Nat) ; Medrano Llamas, R (CERN) ; Walker, R (Munich U.) ; Wenaus, T (Brookhaven Natl. Lab.)
The Production and Distributed Analysis system (PanDA) has been in use in the ATLAS Experiment since 2005. [...]
ATL-SOFT-PROC-2013-025.
- 2014. - 5 p.
Original Communication (restricted to ATLAS) - Full text - Full text
10.
ATLAS Cloud Computing R&D project / Panitkin, S ; Barreiro Megino, F ; Caballero Bejar, J ; Benjamin, D ; DiGirolamo, A ; Gable, I ; Hendrix, V ; Hover, J ; Kucharczuk, K ; Medrano LLamas, R et al.
The computing model of the ATLAS experiment was designed around the concept of grid computing and, since the start of data taking, this model has proven very successful. However, new cloud computing technologies bring attractive features to improve the operations and elasticity of scientific distributed computing. [...]
ATL-SOFT-SLIDE-2013-827.- Geneva : CERN, 2013 - 22 p. Fulltext: PDF; External link: Original Communication (restricted to ATLAS)
In : 20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013

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