| Paper | Title | Page |
|---|---|---|
| MOBPP05 | Dynamic Control Systems: Advantages and Challenges | 46 |
|
||
| 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) | |
| MOPHA121 | Generic Data Acquisition Interfaces and Processes in Sardana | 506 |
|
||
| Users visiting scientific installations aim to collect the best quality data frequently under time pressure. They look for complementary techniques at different sites and when they arrive to one they have limited time to understand the data acquisition architecture. In these conditions, the availability of generic and common interfaces to the experimental channels and measurements improve the user experience regarding the programming and configuration of the experiment. Here we present solutions to the data acquisition challenges provided by the Sardana scientific SCADA suite. In one experimental session the same detector may be employed in different modes e.g., getting the data stream when aligning the sample or the stage, getting a single time/monitor controlled exposure and finally running the measurement process like a step or continuous scan. The complexity of the acquisition setup increases with the number of detectors being simultaneously used and even more depending on the applied synchronization. In this work we present recently enriched Sardana interfaces and optimized processes and conclude with the roadmap of further enhancements. | ||
|
Poster MOPHA121 [1.174 MB] | |
| DOI • | reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-MOPHA121 | |
| 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) | |
| WEPHA020 | Pushing the Limits of Tango Archiving System using PostgreSQL and Time Series Databases | 1116 |
|
||
|
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) | |