| Published Articles | |
| Title | Sim@P1: Using Cloudscheduler for offline processing on the ATLAS HLT farm |
| Author(s) |
Berghaus, Frank (U. Victoria (main)) ; Brasolin, Franco (INFN, Bologna ; U. Bologna, DIFA) ; Casteels, Kevin (U. Victoria (main)) ; Driemel, Colson (U. Victoria (main)) ; Ebert, Marcus (U. Victoria (main)) ; Leavatt-Brown, Colin (U. Victoria (main)) ; Lee, Chris (Cape Town U.) ; Love, Peter (Lancaster U.) ; Paterson, Michael (U. Victoria (main)) ; Scannicchio, Diana (UC, Irvine) ; Seuster, Rolf (U. Victoria (main)) ; Sobie, Randall (U. Victoria (main)) ; Weiss-Gibbons, Tahya (U. Victoria (main)) |
| Publication | EDP Sciences, 2019 |
| Number of pages | 8 |
| In: | EPJ Web Conf. 214 (2019) 07021 |
| In: | 23rd International Conference on Computing in High Energy and Nuclear Physics, CHEP 2018, Sofia, Bulgaria, 9 - 13 Jul 2018, pp.07021 |
| DOI | 10.1051/epjconf/201921407021 |
| Subject category | Computing and Computers |
| Accelerator/Facility, Experiment | CERN LHC ; ATLAS |
| Abstract | The Simulation at Point1 (Sim@P1) project was established in 2013 to take advantage of the Trigger and Data Acquisition High Level Trigger (HLT) farm of the ATLAS experiment at the LHC. The HLT farm is a significant compute resource, which is critical to ATLAS during data taking. This large compute resource is used to generate and process simulation data for the experiment when ATLAS is not recording data. The Sim@P1 system uses virtual machines, deployed by OpenStack, in order to isolate the resources from the ATLAS technical and control network. During the upcoming long shutdown in 2019 (LS2), the HLT farm including the Sim@P1 infrastructure will be upgraded. A previous paper on the project emphasized the need for “simple, reliable, and efficient tools” to quickly switch between data acquisition operation and offline processing. In this contribution we assess various options for updating and simplifying the provisional tools. Cloudscheduler is a tool for provisioning cloud resources for batch computing that has been managing cloud resources in HEP offline computing since 2012. We present the argument for choosing Cloudscheduler, and describe technical details regarding optimal utilization of the Sim@P1 re-sources. |
| Copyright/License | publication: © 2019-2024 The Authors (License: CC-BY-4.0) |
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Record created 2020-08-20, last modified 2020-08-24