ICALEPCS2017 - List of Authors (Vino, G.)

Paper	Title	Page
TUBPA02	Monitoring the New ALICE Online-Offline Computing System	195
	A. Wegrzynek, V. Chibante Barroso CERN, Geneva, Switzerland G. Vino INFN-Bari, Bari, Italy
	ALICE (A Large Ion Collider Experiment) particle detector has been successfully collecting physics data since 2010. Currently, it is in preparations for a major upgrade of the computing system, called O2 (Online-Offline). The O2 system will consist of 268 FLPs (First Level Processors) equipped with readout cards and 1500 EPNs (Event Processing Node) performing data aggregation, calibration, reconstruction and event building. The system will readout 27 Tb/s of raw data and record tens of PBs of reconstructed data per year. To allow an efficient operation of the upgraded experiment, a new Monitoring subsystem will provide a complete overview of the O2 computing system status. The O2 Monitoring subsystem will collect up to 600 kHz of metrics. It will consist of a custom monitoring library and a toolset to cover four main functional tasks: collection, processing, storage and visualization. This paper describes the Monitoring subsystem architecture and the feature set of the monitoring library. It also shows the results of multiple benchmarks, essential to ensure performance requirements. In addition, it presents the evaluation of pre-selected tools for each of the functional tasks.
	Slides TUBPA02 [11.846 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUBPA02
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Monitoring the New ALICE Online-Offline Computing System

195

A. Wegrzynek, V. Chibante Barroso
CERN, Geneva, Switzerland
G. Vino
INFN-Bari, Bari, Italy

ALICE (A Large Ion Collider Experiment) particle detector has been successfully collecting physics data since 2010. Currently, it is in preparations for a major upgrade of the computing system, called O2 (Online-Offline). The O2 system will consist of 268 FLPs (First Level Processors) equipped with readout cards and 1500 EPNs (Event Processing Node) performing data aggregation, calibration, reconstruction and event building. The system will readout 27 Tb/s of raw data and record tens of PBs of reconstructed data per year. To allow an efficient operation of the upgraded experiment, a new Monitoring subsystem will provide a complete overview of the O2 computing system status. The O2 Monitoring subsystem will collect up to 600 kHz of metrics. It will consist of a custom monitoring library and a toolset to cover four main functional tasks: collection, processing, storage and visualization. This paper describes the Monitoring subsystem architecture and the feature set of the monitoring library. It also shows the results of multiple benchmarks, essential to ensure performance requirements. In addition, it presents the evaluation of pre-selected tools for each of the functional tasks.

Slides TUBPA02 [11.846 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2017-TUBPA02

Export •

reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)