CERN Accelerating science

Published Articles
Title	Using the CMS High Level Trigger as a Cloud Resource
Author(s)	Colling, David (Imperial Coll., London) ; Huffman, Adam (Imperial Coll., London) ; McCrae, Alison (CERN) ; Lahiff, Andrew (Rutherford) ; Grandi, Claudio (INFN, Bologna) ; Cinquilli, Mattia (CERN) ; Gowdy, Stephen (CERN) ; Coarasa, Jose Antonio (CERN) ; Tiradani, Anthony (Fermilab) ; Ozga, Wojciech (CERN) ; Chaze, Olivier (CERN) ; Sgaravatto, Massimo (INFN, Padua) ; Bauer, Daniela (Imperial Coll., London)
Publication	2014
Number of pages	7
In:	J. Phys.: Conf. Ser. 513 (2014) 032019
In:	20th International Conference on Computing in High Energy and Nuclear Physics 2013, Amsterdam, Netherlands, 14 - 18 Oct 2013, pp.032019
DOI	10.1088/1742-6596/513/3/032019
Subject category	Computing and Computers ; Detectors and Experimental Techniques
Accelerator/Facility, Experiment	CERN LHC ; CMS
Abstract	The CMS High Level Trigger is a compute farm of more than 10,000 cores. During data taking this resource is heavily used and is an integral part of the experiment's triggering system. However, outside of data taking periods this resource is largely unused. We describe why CMS wants to use the HLT as a cloud resource (outside of data taking periods) and how this has been achieved. In doing this we have turned a single-use cluster into an agile resource for CMS production computing. While we are able to use the HLT as a production cloud resource, there is still considerable further work that CMS needs to carry out before this resource can be used with the desired agility. This report, therefore, represents a snapshot of this activity at the time of CHEP 2013.
Copyright/License	publication: (License: CC-BY)

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