CernVM – a virtual software appliance for LHC applications

Bunčić, P.; Sanchez, Carlos Aguado; Blomer, Jakob; Franco, Leandro; Harutyunian, A; Mató, P.; Yao, Yong

doi:10.1088/1742-6596/219/4/042003

Cited by 103 publications

(56 citation statements)

References 1 publication

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“…lhc@home 2.0 in turn relies on cernvm [34,35] (a Virtual-Machine computing environment based on Scientific Linux), on the copilot job submission system [36,35], and on the Boinc middleware for volunteer computing [37,38].…”

Section: Introductionmentioning

confidence: 99%

“…cernvm provides a standardized Scientific-Linux environment that should be appropriate for most high-energy physics (HEP) applications, including several commonly used auxiliary packages such as the GNU Scientific Library (GSL), the C++ BOOST libraries, and many others. A standalone version of cernvm can be downloaded from [34] for testing purposes. To the extent that dependencies require additional packages to be installed, these should be communicated to the mcplots and cernvm development teams.…”

Section: Introductionmentioning

confidence: 99%

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MCPLOTS: a particle physics resource based on volunteer computing

et al. 2014

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The mcplots.cern.ch web site (mcplots) provides a simple online repository of plots made with highenergy-physics event generators, comparing them to a wide variety of experimental data. The repository is based on the hepdata online database of experimental results and on the rivet Monte Carlo analysis tool. The repository is continually updated and relies on computing power donated by volunteers, via the lhc@home 2.0 platform.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

MCPLOTS: a particle physics resource based on volunteer computing

et al. 2014

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“…The full process requires 3 steps. The first step was the virtualization: a trivial step, for which custom lightweight images were used, relying wherever possible on remote service like CVMFS [10] and avoiding to install software locally (i.e. no EMI 2 Grid middleware).…”

Section: Pos(isgc 2016)023mentioning

confidence: 99%

Elastic Computing from Grid sites to External Clouds

Codispoti¹,

Maria²,

Aiftimiei³

et al. 2017

Proceedings of International Symposium on Grids and Clouds (ISGC) 2016 — PoS(ISGC 2016)

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LHC experiments are now in Run-II data taking and approaching new challenges in the operation of the computing facilities in future Runs. Despite having demonstrated to be able to sustain operations at scale during Run-I, it has become evident that the computing infrastructure for Run-II already is dimensioned to cope at most with the average amount of data recorded, and not for peak usage. The latter are frequent and may create large backlogs and have a direct impact on data reconstruction completion times, hence to data availability for physics analysis. Among others, the CMS experiment is exploring (since the first Long Shutdown period after Run-I) the access and utilisation of Cloud resources provided by external partners or commercial providers. In this work we present proof of concepts of the elastic extension of a CMS Tier-3 site in Bologna (Italy), on an external OpenStack infrastructure. We start from presenting the experience on a first work on the "Cloud Bursting" of a CMS Grid site using a novel LSF configuration to dynamically register new worker nodes. Then, we move to an even more recent work on a "Cloud Site as-aService" prototype, based on a more direct access/integration of OpenStack resources into the CMS workload management system. Results with real CMS workflows and future plans are also presented and discussed.

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“…• CernVM [8,10] is the chosen technology by LHCb for virtual machine images. The latest version, CernVM 3, is a very light image of a few MB which bootstraps itself with the help of CVMFS.…”

Section: Pos(isgc2015)005mentioning

confidence: 99%

The LHCb Distributed Computing Model and Operations during LHC Runs 1, 2 and 3

Roiser¹,

Diaz²,

Salichos³

et al. 2016

Proceedings of International Symposium on Grids and Clouds 2015 — PoS(ISGC2015)

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2 PoS(ISGC2015)005LHCb is one of the four main high energy physics experiments currently in operation at the Large Hadron Collider at CERN, Switzerland. This contribution reports on the experience of the computing team during LHC Run 1, the current preparation for Run 2 and a brief outlook on plans for data taking and its implications for Run 3. Furthermore a brief introduction on LHCbDIRAC, i.e. the tool to interface the experiment distributed computing resources for its data processing and data management operations is given. During Run 1 several changes in the online filter farms had impacts on the computing operations and the computing model such as the replication of physics data, the data processing workflows and the organisation of processing campaigns. The strict MONARC model originally foreseen for LHC distributed computing was changed. Furthermore several changes and simplifications in the tools for distributed computing were taken e.g. for the software distribution, the replica catalog service or the deployment of conditions data. The reasons, implementations and implications for all these changes will be discussed. For Run 2 the running conditions of the LHC will change which will also have an impact on the distributed computing as the output rate of the high level trigger (HLT) approximately will double. This increased load on computing resources and also changes in the high level trigger farm, which will allow a final calibration of data will have a direct impact on the computing model. In addition more simplifications in the usage of tools are foreseen for Run 2, such as the consolidation of data access protocols, the usage of a new replica catalog and several adaptions in the core the distributed computing framework to serve the additional load. In Run 3 the trigger output rate is foreseen to increase. One of the changes in HLT, to be tested during Run 2 and taken further in Run 3, which allows direct output of physics data without offline reconstruction will be discussed. LHCb also strives for the inclusion of cloud and virtualised infrastructures for its distributed computing needs, including running on IaaS infrastructures such as Openstack or on hypervisor only systems using Vac, a self organising cloud infrastructure. The usage of BOINC for volunteer computing is currently in preparation and tested. All these infrastructures, in addition to the classical grid computing, can be served by a single service and pilot system. The details of these different approaches will be discussed.

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CernVM – a virtual software appliance for LHC applications

Cited by 103 publications

References 1 publication

MCPLOTS: a particle physics resource based on volunteer computing

MCPLOTS: a particle physics resource based on volunteer computing

Elastic Computing from Grid sites to External Clouds

The LHCb Distributed Computing Model and Operations during LHC Runs 1, 2 and 3

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