ICALEPCS2019 - List of Authors (Prieto Barreiro, I.)

Paper	Title	Page
MOPHA117	Big Data Archiving From Oracle to Hadoop	497
	I. Prieto Barreiro, M. Sobieszek CERN, Meyrin, Switzerland
	The CERN Accelerator Logging Service (CALS) is used to persist data of around 2 million predefined signals coming from heterogeneous sources such as the electricity infrastructure, industrial controls like cryogenics and vacuum, or beam related data. This old Oracle based logging system will be phased out at the end of the LHC’s Long Shut-down 2 (LS2) and will be replaced by the Next CERN Accelerator Logging Service (NXCALS) which is based on Hadoop. As a consequence, the different data sources must be adapted to persist the data in the new logging system. This paper describes the solution implemented to archive into NXCALS the data produced by QPS (Quench Protection System) and SCADAR (Supervisory Control And Data Acquisition Relational database) systems, which generate a total of around 175, 000 values per second. To cope with such a volume of data the new service has to be extremely robust, scalable and fail-safe with guaranteed data delivery and no data loss. The paper also explains how to recover from different failure scenarios like e.g. network disruption and how to manage and monitor this highly distributed service.
	Poster MOPHA117 [1.227 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA117
About •	paper received ※ 29 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

MOPHA118	Improving Alarm Handling for the TI Operators by Integrating Different Sources in One Alarm Management and Information System	502
	M. Bräger, M. Bouzas Reguera, U. Epting, E. Mandilara, E. Matli, I. Prieto Barreiro, M.P. Rafalski CERN, Geneva, Switzerland
	CERN uses a central alarm system to monitor its complex technical infrastructure. The Technical Infrastructure (TI) operators must handle a large number of alarms coming from several thousand equipments spread around CERN. In order to focus on the most important events and improve the time required to solve the problem, it is necessary to provide extensive helpful information such as alarm states of linked systems, a geographical overview on a detailed map and clear instructions to the operators. In addition, it is useful to temporarily inhibit alarms coming from equipment during planned maintenance or interventions. The tool presents all necessary information in one place and adds simple and intuitive functionality to ease the operation with an enhanced interface.
	Poster MOPHA118 [0.907 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA118
About •	paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA125	Integrating IoT Devices Into the CERN Control and Monitoring Platform	1385
	B. Copy, M. Bräger, A. Papageorgiou Koufidis, E. Piselli, I. Prieto Barreiro CERN, Geneva, Switzerland
	The CERN Control and Monitoring Platform (C2MON) offers interesting features required in the industrial controls domain to support Internet of Things (IoT) scenarios. This paper aims to highlight the main advantages of a cloud deployment solution, in order to support large-scale embedded data acquisition and edge computing. Several IoT use cases will be explained, illustrated by real examples carried out in collaboration with CERN Knowledge Transfer programme.
	Poster WEPHA125 [1.854 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA125
About •	paper received ※ 27 September 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Big Data Archiving From Oracle to Hadoop

497

I. Prieto Barreiro, M. Sobieszek
CERN, Meyrin, Switzerland

The CERN Accelerator Logging Service (CALS) is used to persist data of around 2 million predefined signals coming from heterogeneous sources such as the electricity infrastructure, industrial controls like cryogenics and vacuum, or beam related data. This old Oracle based logging system will be phased out at the end of the LHC’s Long Shut-down 2 (LS2) and will be replaced by the Next CERN Accelerator Logging Service (NXCALS) which is based on Hadoop. As a consequence, the different data sources must be adapted to persist the data in the new logging system. This paper describes the solution implemented to archive into NXCALS the data produced by QPS (Quench Protection System) and SCADAR (Supervisory Control And Data Acquisition Relational database) systems, which generate a total of around 175, 000 values per second. To cope with such a volume of data the new service has to be extremely robust, scalable and fail-safe with guaranteed data delivery and no data loss. The paper also explains how to recover from different failure scenarios like e.g. network disruption and how to manage and monitor this highly distributed service.

Poster MOPHA117 [1.227 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA117

About •

paper received ※ 29 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

MOPHA118

Improving Alarm Handling for the TI Operators by Integrating Different Sources in One Alarm Management and Information System

502

M. Bräger, M. Bouzas Reguera, U. Epting, E. Mandilara, E. Matli, I. Prieto Barreiro, M.P. Rafalski
CERN, Geneva, Switzerland

CERN uses a central alarm system to monitor its complex technical infrastructure. The Technical Infrastructure (TI) operators must handle a large number of alarms coming from several thousand equipments spread around CERN. In order to focus on the most important events and improve the time required to solve the problem, it is necessary to provide extensive helpful information such as alarm states of linked systems, a geographical overview on a detailed map and clear instructions to the operators. In addition, it is useful to temporarily inhibit alarms coming from equipment during planned maintenance or interventions. The tool presents all necessary information in one place and adds simple and intuitive functionality to ease the operation with an enhanced interface.

Poster MOPHA118 [0.907 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA118

About •

paper received ※ 30 September 2019 paper accepted ※ 10 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA125

Integrating IoT Devices Into the CERN Control and Monitoring Platform

1385

B. Copy, M. Bräger, A. Papageorgiou Koufidis, E. Piselli, I. Prieto Barreiro
CERN, Geneva, Switzerland

The CERN Control and Monitoring Platform (C2MON) offers interesting features required in the industrial controls domain to support Internet of Things (IoT) scenarios. This paper aims to highlight the main advantages of a cloud deployment solution, in order to support large-scale embedded data acquisition and edge computing. Several IoT use cases will be explained, illustrated by real examples carried out in collaboration with CERN Knowledge Transfer programme.

Poster WEPHA125 [1.854 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA125

About •

paper received ※ 27 September 2019 paper accepted ※ 20 October 2019 issue date ※ 30 August 2020

Export •

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