JACoW is a publisher in Geneva, Switzerland that publishes the proceedings of accelerator conferences held around the world by an international collaboration of editors.
@inproceedings{canzari:icalepcs2023-tupdp044,
author = {M. Canzari and V. Alberti and A. Dubey and M. Eguiraun and J. Forsberg and A. Georgiou and V. Hardion and H.R. Ribeiro},
% author = {M. Canzari and V. Alberti and A. Dubey and M. Eguiraun and J. Forsberg and A. Georgiou and others},
% author = {M. Canzari and others},
title = {{Improving Performance of Taranta: Analysis of Memory Requests and Implementation of the Solution}},
% booktitle = {Proc. ICALEPCS'23},
booktitle = {Proc. 19th Int. Conf. Accel. Large Exp. Phys. Control Syst. (ICALEPCS'23)},
eventdate = {2023-10-09/2023-10-13},
pages = {617--621},
paper = {TUPDP044},
language = {english},
keywords = {TANGO, software, interface, controls, MMI},
venue = {Cape Town, South Africa},
series = {International Conference on Accelerator and Large Experimental Physics Control Systems},
number = {19},
publisher = {JACoW Publishing, Geneva, Switzerland},
month = {02},
year = {2024},
issn = {2226-0358},
isbn = {978-3-95450-238-7},
doi = {10.18429/JACoW-ICALEPCS2023-TUPDP044},
url = {https://jacow.org/icalepcs2023/papers/tupdp044.pdf},
abstract = {{Taranta is a software suite for generating graphical interfaces for Tango Controls software, currently adopted by MaxIV for scientific experiment usage, SKA during the current construction phase for the development of engineering interfaces for device debugging, and other institutions. A key feature of Taranta is the ability to create customizable dashboards without writing code, making it easy to create and share views among users by linking the dashboards to their own tango devices. However, due to the simplicity and capabilities of Taranta’s widgets, more and more users are creating complex dashboards, which can cause client-side resource problems. Through an analysis of dashboards, we have found that excessive memory requests are generated by a large amount of data. In this article, we report on the process we believe will help us solve this performance issue. Starting with an analysis of the existing architecture, the issues encountered, and performance tests, we identify the causes of these problems. We then study a new architecture exploiting all the potential of the Javascript framework React on which Taranta is built, before moving on to implementation of the solution. }},
}