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Prototyping Virtual Data Technologies in ATLAS Data Challenge 1 Production [article]

A. Vaniachine, D. Malon Argonne National Laboratory, University of Texas at Arlington)
2003 arXiv   pre-print
To enhance the ATLAS DC1 production toolkit, we introduced and tested a Virtual Data services component.  ...  For each major data transformation step identified in the ATLAS data processing pipeline (event generation, detector simulation, background pile-up and digitization, etc) the Virtual Data Cookbook (VDC  ...  Acknowledgments We thank all of our ATLAS collaborators and, in particular, all the Data Challenge production managers whose participation was instrumental to enable the rapid prototyping cycles and early  ... 
arXiv:cs/0306102v1 fatcat:ukuf6doharam5mdlk7atobuo7q

Control System (CS) and Data Acquisition (DAQ) architecture for the radiation background monitoring of a Personnel Safety System in the ATLAS cavern

E. Adamidi, E. Gazis, K. Nikita
2019 HNPS Proceedings  
The research challenges lie in the development of real-time (time-lags less than human interaction speed) data-transmission, instantaneous analysis of data coming from different inputs (vision, sound,  ...  Current technology is not efficient because of significant time-lag in communication and data transmission, missing multi-input interfaces, and simultaneous supervision of multiple workers who are working  ...  Fig. 1 . 1 Fig. 1. First Edusafe Prototype a. Sensor Data Acquisition b. Video Streams Acquisition c. Radiation Data Acquisition from gamma camera d. Data-Base storage e.  ... 
doi:10.12681/hnps.1846 fatcat:y66n7own35hxzer2c5nf24am7q

A new Scheme for ATLAS Trigger Simulation using Legacy Code

Gorm Galster, Joerg Stelzer, Werner Wiedenmann
2014 Journal of Physics, Conference Series  
Some ideas reach beyond the retrospective trigger simulation scheme in ATLAS as they also touch more generally aspects of data preservation.  ...  One of the greatest challenges was the choice of a data format which promises long term compatibility with old and new software releases.  ...  Future Developments The prototype used the technology of the CernVM virtual appliance, which allows to store a virtual machine configuration and pull the necessary software components together in a virtual  ... 
doi:10.1088/1742-6596/513/2/022039 fatcat:gy66nndhirex3go777tcqzux2q

D3.1 Demonstrator general technical requirements

Gilbert Maudire, Cecile Nys
2020 Zenodo  
The technical requirements as summarized in this deliverable D3.1 will also contribute to the identification of the key challenges to address with the design of the overall technical architecture for the  ...  These requirements will be used in the further development of the Virtual Labs, which will take place in a close cooperation between WP3 and WP4, whereby WP4 will focus on the activities for making the  ...  It will be based on the solid and proven technologies behind the FAO Tuna Atlas Virtual Lab and the GRSF Virtual Lab.  ... 
doi:10.5281/zenodo.6335018 fatcat:olhvgrquyncydczqz3tpefp3eu

Primary Numbers Database for ATLAS Detector Description Parameters [article]

A. Vaniachine, S. Eckmann, D. Malon Argonne National Laboratory
2003 arXiv   pre-print
server technology), with data being updated when the laptop is connected (using the MySQL database replication).  ...  We present the design and the status of the database for detector description parameters in ATLAS experiment.  ...  prototyping cycles and early users' feedback.  ... 
arXiv:cs/0306103v1 fatcat:kjpkip7ppvf5pp6dgpvq3mu5qu

Grid Computing, E-Science and Applications in Industry [chapter]

Hans Hoffmann
2005 Wirtschaftsinformatik 2005  
LCG 1, the first LCG production grid service, 24hrs/day and 7 days/week, has become operational in March 2004 based on DataGrid, US-Grid 3 and Nordugrid middleware and was tested with "data challenges"  ...  data challenges of the experiments. • Phase 2: Installation and operation of the full world-wide initial production Grid system in the years 2006 to 2008, requiring continued manpower efforts and substantial  ... 
doi:10.1007/3-7908-1624-8_90 fatcat:lzbfsdwuejbybmziltlovdtdia

Evaluation of a new visualization and analytics solution for slow control data for large scale experiments

Laura Sargsyan, Filipe Martins, C. Doglioni, D. Kim, G.A. Stewart, L. Silvestris, P. Jackson, W. Kamleh
2020 EPJ Web of Conferences  
The proposed solution leverages the new virtualization, data analytics and visualization technologies such as InfluxDB time-series database for faster access large scale data, Grafana to visualize time-series  ...  Large experiments in high energy physics require efficient and scalable monitoring solutions to digest data of the detector control system.  ...  With this overwhelming amount of data comes the challenge of analysing it in a way that brings big value. Analysis of this data requires efficient, scalable and flexible technologies.  ... 
doi:10.1051/epjconf/202024507001 fatcat:o5wnjties5d3hguduxxy5wqp74

Evolution of the architecture of the ATLAS Metadata Interface (AMI)

J Odier, O Aidel, S Albrand, J Fulachier, F Lambert
2015 Journal of Physics, Conference Series  
It is necessary to adapt the hardware infrastructure in a seamless way so that the quality of service remains high.  ...  The ATLAS Metadata Interface (AMI) is now a mature application. Over the years, the number of users and the number of provided functions has dramatically increased.  ...  Acknowledgements We would like to thank all the staff of the CC-IN2P3 Lyon who have helped us with the AMI project, in particular Philippe Cheynet, Benoit Delaunay, Pierre-Etienne Macchi, Yannick Perret  ... 
doi:10.1088/1742-6596/664/4/042040 fatcat:ilaj3i6eqzan7ejhqbsflefdkq

The Evolution of Cloud Computing in ATLAS

Ryan P Taylor, Frank Berghaus, Franco Brasolin, Cristovao Jose Domingues Cordeiro, Ron Desmarais, Laurence Field, Ian Gable, Domenico Giordano, Alessandro Di Girolamo, John Hover, Matthew LeBlanc, Peter Love (+3 others)
2015 Journal of Physics, Conference Series  
in prevailing cloud technology.  ...  The ATLAS experiment at the LHC has successfully incorporated cloud computing technology and cloud resources into its primarily grid-based model of distributed computing.  ...  Introduction In 2011, the ATLAS experiment [1] at the LHC initiated a Cloud Computing R&D project [2] , which explored the landscape of cloud computing and virtualization technology available at the  ... 
doi:10.1088/1742-6596/664/2/022038 fatcat:crb5xi6fxvgi3du62h2me54mpq

Accelerating Science Impact through Big Data Workflow Management and Supercomputing

K. De, A. Klimentov, T. Maeno, R. Mashinistov, P. Nilsson, D. Oleynik, S. Panitkin, E. Ryabinkin, T. Wenaus, Gh. Adam, J. Buša, M. Hnatič
2016 EPJ Web of Conferences  
To address an unprecedented multi-petabyte data processing challenge, the ATLAS experiment is relying on a heterogeneous distributed computational infrastructure.  ...  To manage the workflow for all data processing on hundreds of data centers the PanDA (Production and Distributed Analysis) Workload Management System is used.  ...  Acknowledgements We wish to thank all our colleagues who contributed to ATLAS data processing and Monte-Carlo simulation activities and to PanDA software development and installation.  ... 
doi:10.1051/epjconf/201610801003 fatcat:4lix4kmlsza6hjypbtq7h4yflu

Standalone containers with ATLAS offline software

Marcelo Vogel, Mikhail Borodin, Alessandra Forti, Lukas Heinrich, C. Doglioni, D. Kim, G.A. Stewart, L. Silvestris, P. Jackson, W. Kamleh
2020 EPJ Web of Conferences  
This paper describes the deployment of the offline software of the ATLAS experiment at LHC in containers for use in production workflows such as simulation and reconstruction.  ...  To achieve this goal we are using Docker and Singularity, which are both lightweight virtualization technologies that can encapsulate software packages inside complete file systems.  ...  Introduction Docker is a light weight, software based virtualization technology [1] , which encapsulates a piece of software inside a complete file system containing everything that the applications will  ... 
doi:10.1051/epjconf/202024507010 fatcat:ucbd4nsqlbfzba7pwzkrqodcby

The Scalable Systems Laboratory: a Platform for Software Innovation for HEP [article]

Robert Gardner, Lincoln Bryant, Mark Neubauer, Frank Wuerthwein, Judith Stephen, Andrew Chien
2020 arXiv   pre-print
prototypes.  ...  Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition their R&D from conceptual toys to testbeds to production-scale  ...  SLATE tools Production ATLAS Exp.  ... 
arXiv:2005.06151v1 fatcat:ag3udnjemnfihjx3cj3aok4r2q

Open science grid: Building and sustaining general cyberinfrastructure using a collaborative approach

Paul Avery
2007 First Monday  
International Virtual Data Grid Laboratory (iVDGL) home page at http://www.ivdgl.org/. 32. Virtual Data Toolkit (VDT) home page at http://vdt.cs.wisc.edu/. 33.  ...  The individual facilities making up the OSG cyberinfrastructure are shown in Figure 1.  ... 
doi:10.5210/fm.v12i6.1866 fatcat:xhkro4nwrzaszhvfcacccn4p2m

The Scalable Systems Laboratory: a Platform for Software Innovation for HEP

Robert Gardner, Lincoln Bryant, Mark Neubauer, Frank Wuerthwein, Judith Stephen, Andrew Chien, C. Doglioni, D. Kim, G.A. Stewart, L. Silvestris, P. Jackson, W. Kamleh
2020 EPJ Web of Conferences  
prototypes.  ...  Laboratory (SSL), part of the IRIS-HEP Software Institute, provides Institute participants and HEP software developers generally with a means to transition their R&D from conceptual toys to testbeds to production-scale  ...  SLATE tools Production ATLAS Exp.  ... 
doi:10.1051/epjconf/202024505019 fatcat:3iqy6g7cfbg4np5dnj5ruka34a

Computing for the Large Hadron Collider

Ian Bird
2011 Annual Review of Nuclear and Particle Science  
In this review, I discuss the rationale for the design of a distributed system and describe how this environment was constructed and deployed through the use of grid computing technologies.  ...  Following the first full year of Large Hadron Collider (LHC) data taking, the Worldwide LHC Computing Grid (WLCG) computing environment built to support LHC data processing and analysis has been validated  ...  Since 2003, when the initial prototype grid system was put in place with only a handful of grid sites, the system has been used for the experiments' production of simulated data, and since 2004 an extensive  ... 
doi:10.1146/annurev-nucl-102010-130059 fatcat:6vq4ykilu5antdlnyd63vqvvja
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