ICALEPCS2019 - List of Authors (Rubio-Manrique, S.)

Paper	Title	Page
MOBPP05	Dynamic Control Systems: Advantages and Challenges	46
	S. Rubio-Manrique, G. Cuní ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
	The evolution of Software Control Systems introduced the usage of dynamically typed languages, like Python or Ruby, that helped Accelerator scientists to develop their own control algorithms on top of the standard control system. This new high-level layer of scientist-developed code is prone to continuous change and no longer restricted to fixed types and data structures as low-level control systems used to be. This provides great advantages for scientists but also big challenges for the control engineers, that must integrate this dynamic developments into existing systems like user interfaces, archiving or alarms.
	Slides MOBPP05 [2.267 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOBPP05
About •	paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

WEPHA020	Pushing the Limits of Tango Archiving System using PostgreSQL and Time Series Databases	1116
	R. Bourtembourg, S. James, J.L. Pons, P.V. Verdier ESRF, Grenoble, France G. Cuní, S. Rubio-Manrique ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain M. Di Carlo INAF - OAAB, Teramo, Italy G.A. Fatkin, A.I. Senchenko, V. Sitnov NSU, Novosibirsk, Russia G.A. Fatkin, A.I. Senchenko, V. Sitnov BINP SB RAS, Novosibirsk, Russia L. Pivetta, C. Scafuri, G. Scalamera, G. Strangolino, L. Zambon Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy
	The Tango HDB++ project is a high performance event-driven archiving system which stores data with micro-second resolution timestamps, using archivers written in C++. HDB++ supports MySQL/MariaDB and Apache Cassandra backends and has been recently extended to support PostgreSQL and TimescaleDB, a time-series PostgreSQL extension. The PostgreSQL backend has enabled efficient multi-dimensional data storage in a relational database. Time series databases are ideal for archiving and can take advantage of the fact that data inserted do not change. TimescaleDB has pushed the performance of HDB++ to new limits. The paper will present the benchmarking tools that have been developed to compare the performance of different backends and the extension of HDB++ to support TimescaleDB for insertion and extraction. A comparison of the different supported back-ends will be presented. https://timescale.com*
	Poster WEPHA020 [1.609 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA020
About •	paper received ※ 30 September 2019 paper accepted ※ 02 November 2019 issue date ※ 30 August 2020
Export •	reference for this paper using ※ BibTeX, ※ LaTeX, ※ Text/Word, ※ RIS, ※ EndNote (xml)

Paper

Title

Page

Dynamic Control Systems: Advantages and Challenges

46

S. Rubio-Manrique, G. Cuní
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain

The evolution of Software Control Systems introduced the usage of dynamically typed languages, like Python or Ruby, that helped Accelerator scientists to develop their own control algorithms on top of the standard control system. This new high-level layer of scientist-developed code is prone to continuous change and no longer restricted to fixed types and data structures as low-level control systems used to be. This provides great advantages for scientists but also big challenges for the control engineers, that must integrate this dynamic developments into existing systems like user interfaces, archiving or alarms.

Slides MOBPP05 [2.267 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOBPP05

About •

paper received ※ 30 September 2019 paper accepted ※ 09 October 2019 issue date ※ 30 August 2020

Export •

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

WEPHA020

Pushing the Limits of Tango Archiving System using PostgreSQL and Time Series Databases

1116

R. Bourtembourg, S. James, J.L. Pons, P.V. Verdier
ESRF, Grenoble, France
G. Cuní, S. Rubio-Manrique
ALBA-CELLS Synchrotron, Cerdanyola del Vallès, Spain
M. Di Carlo
INAF - OAAB, Teramo, Italy
G.A. Fatkin, A.I. Senchenko, V. Sitnov
NSU, Novosibirsk, Russia
G.A. Fatkin, A.I. Senchenko, V. Sitnov
BINP SB RAS, Novosibirsk, Russia
L. Pivetta, C. Scafuri, G. Scalamera, G. Strangolino, L. Zambon
Elettra-Sincrotrone Trieste S.C.p.A., Basovizza, Italy

The Tango HDB++ project is a high performance event-driven archiving system which stores data with micro-second resolution timestamps, using archivers written in C++. HDB++ supports MySQL/MariaDB and Apache Cassandra backends and has been recently extended to support PostgreSQL and TimescaleDB*, a time-series PostgreSQL extension. The PostgreSQL backend has enabled efficient multi-dimensional data storage in a relational database. Time series databases are ideal for archiving and can take advantage of the fact that data inserted do not change. TimescaleDB has pushed the performance of HDB++ to new limits. The paper will present the benchmarking tools that have been developed to compare the performance of different backends and the extension of HDB++ to support TimescaleDB for insertion and extraction. A comparison of the different supported back-ends will be presented.
https://timescale.com

Poster WEPHA020 [1.609 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA020

About •

paper received ※ 30 September 2019 paper accepted ※ 02 November 2019 issue date ※ 30 August 2020

Export •

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