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Proceedings Paper

High performance graphical data trending in a distributed system
Author(s): Cristián Maureira; Arturo Hoffstadt; Joao López; Nicolás Troncoso; Rodrigo Tobar; Horst H. von Brand
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Paper Abstract

Trending near real-time data is a complex task, specially in distributed environments. This problem was typically tackled in financial and transaction systems, but it now applies to its utmost in other contexts, such as hardware monitoring in large-scale projects. Data handling requires subscription to specific data feeds that need to be implemented avoiding replication, and rate of transmission has to be assured. On the side of the graphical client, rendering needs to be fast enough so it may be perceived as real-time processing and display. ALMA Common Software (ACS) provides a software infrastructure for distributed projects which may require trending large volumes of data. For theses requirements ACS offers a Sampling System, which allows sampling selected data feeds at different frequencies. Along with this, it provides a graphical tool to plot the collected information, which needs to perform as well as possible. Currently there are many graphical libraries available for data trending. This imposes a problem when trying to choose one: It is necessary to know which has the best performance, and which combination of programming language and library is the best decision. This document analyzes the performance of different graphical libraries and languages in order to present the optimal environment when writing or re-factoring an application using trending technologies in distributed systems. To properly address the complexity of the problem, a specific set of alternative was pre-selected, including libraries in Java and Python, languages which are part of ACS. A stress benchmark will be developed in a simulated distributed environment using ACS in order to test the trending libraries.

Paper Details

Date Published: 19 July 2010
PDF: 10 pages
Proc. SPIE 7740, Software and Cyberinfrastructure for Astronomy, 774024 (19 July 2010); doi: 10.1117/12.857064
Show Author Affiliations
Cristián Maureira, Univ. Técnica Federico Santa María (Chile)
Arturo Hoffstadt, Univ. Técnica Federico Santa María (Chile)
Joao López, Univ. Técnica Federico Santa María (Chile)
Nicolás Troncoso, Associated Universities, Inc. (Chile)
Univ. Técnica Federico Santa María (Chile)
Rodrigo Tobar, European Southern Observatory (Germany)
Horst H. von Brand, Univ. Técnica Federico Santa María (Chile)


Published in SPIE Proceedings Vol. 7740:
Software and Cyberinfrastructure for Astronomy
Nicole M. Radziwill; Alan Bridger, Editor(s)

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