A scalable monitoring for the CMS Filter Farm based on elasticsearch

A scalable monitoring for the CMS Filter Farm based on elasticsearch

A flexible monitoring system has been designed for the CMS File-based Filter Farm making use of modern data mining and analytics components. All the metadata and monitoring information concerning data flow and execution of the HLT are generated locally in the form of small documents using the JSON e...

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Main Authors: Andre, J-M (Author), Andronidis, A (Author), Behrens, U (Author), Branson, J (Author), Chaze, O (Author), Cittolin, S (Author), Deldicque, C (Author), Dobson, M (Author), A Dupont (Author), Erhan, S (Author), Gigi, D (Author), Glege, F (Author), Hegeman, J (Author), Holzner, A (Author), Jimenez-Estupinan, R (Author), Masetti, L (Author), Meijers, F (Author), Meschi, E (Author), Mommsen, R K (Author), Morovic, S (Author), Nunez-Ba (Author), O'Dell, V. (Author), Orsini, L (Author), Petrucci, A (Author), Pieri, M (Author), Racz, A (Author), Roberts, P (Author), Sakulin, H (Author), Schwick, C (Author), Stieger, B (Author), Zaza, S (Author), Zejdl, P (Author), Gomez-Ceballos, Guillelmo (Contributor), Paus, Christoph M. E. (Contributor), Sumorok, Konstanty C (Contributor), Veverka, Jan (Contributor), Darlea, G. L. (Contributor)
Other Authors: Massachusetts Institute of Technology. Department of Physics (Contributor), Massachusetts Institute of Technology. Laboratory for Nuclear Science (Contributor)
Format: Article
Language:English
Published: IOP Publishing, 2017-05-03T19:06:33Z.
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