ICALEPCS2019 - List of Authors (Xu, K.)

Paper	Title	Page
WEPHA164	CAFlux: A New EPICS Channel Archiver System	1470
	K. Xu LANL, Los Alamos, New Mexico, USA
	We post a new EPICS channel archiver system that is being developed at LANSCE of Los Alamos National Laboratory. Different from the legacy archiver system, this system is built on InfluxDB database and Plotly visualization toolkits. InfluxDB is an opensource time series database system and provides a SQL-like language for fast storage and retrieval of time series data. By replacing the old archiving engine and index file with InfluxDB, we have a more robust, compact and stable archiving server. On a client side, we introduce a new implementation combined with asynchronous programming and multithreaded programming. We also describe a web-based archiver configuration system that is associated with our current IRMIS system. To visualize the data stored, we use the JavaScript Plotly graphing library, another open source toolkit for time series data, to build frontend pages. In addition, we also develop a viewer application with more functionality including basic data statistics and simple arithmetic for channel values. Finally, we propose some ideas to integrate more statistical analysis into this system.
	Poster WEPHA164 [0.697 MB]
DOI •	reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA164
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

CAFlux: A New EPICS Channel Archiver System

1470

K. Xu
LANL, Los Alamos, New Mexico, USA

We post a new EPICS channel archiver system that is being developed at LANSCE of Los Alamos National Laboratory. Different from the legacy archiver system, this system is built on InfluxDB database and Plotly visualization toolkits. InfluxDB is an opensource time series database system and provides a SQL-like language for fast storage and retrieval of time series data. By replacing the old archiving engine and index file with InfluxDB, we have a more robust, compact and stable archiving server. On a client side, we introduce a new implementation combined with asynchronous programming and multithreaded programming. We also describe a web-based archiver configuration system that is associated with our current IRMIS system. To visualize the data stored, we use the JavaScript Plotly graphing library, another open source toolkit for time series data, to build frontend pages. In addition, we also develop a viewer application with more functionality including basic data statistics and simple arithmetic for channel values. Finally, we propose some ideas to integrate more statistical analysis into this system.

Poster WEPHA164 [0.697 MB]

DOI •

reference for this paper ※ https://doi.org/10.18429/JACoW-ICALEPCS2019-WEPHA164

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)