| NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA. Model for Performance Analysis of Distributed Stream Processing Applications. In Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik. Database and Expert Systems Applications. Cham: Springer International Publishing, 2015, p. 520-533. ISBN 978-3-319-22851-8. Available from: https://dx.doi.org/10.1007/978-3-319-22852-5_42. |
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@inproceedings{1310418,
author = {Nálepa, Filip and Batko, Michal and Zezula, Pavel},
address = {Cham},
booktitle = {Database and Expert Systems Applications},
doi = {http://dx.doi.org/10.1007/978-3-319-22852-5_42},
editor = {Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik},
keywords = {Stream processing; Performance analysis; Data stream model},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Cham},
isbn = {978-3-319-22851-8},
pages = {520-533},
publisher = {Springer International Publishing},
title = {Model for Performance Analysis of Distributed Stream Processing Applications},
year = {2015}
}
TY - JOUR
ID - 1310418
AU - Nálepa, Filip - Batko, Michal - Zezula, Pavel
PY - 2015
TI - Model for Performance Analysis of Distributed Stream Processing Applications
PB - Springer International Publishing
CY - Cham
SN - 9783319228518
KW - Stream processing
KW - Performance analysis
KW - Data stream model
N2 - Nowadays, a lot of data is produced every second and it needs to be processed immediately. Processing such unbounded streams of data is often applied in a distributed environment in order to achieve high throughput. There is a challenge to predict the performance-related characteristics of such applications. Knowledge of these properties is essential for decisions about the amount of needed computational resources, how the computations should be spread in the distributed environment, etc. In this paper, we propose a model to represent such streaming applications with the respect to their performance related properties. We present a conversion of the model to Colored Petri Nets (CPNs) which is used for performance analysis of the original application. The behavior of the proposed model and its conversion to the CPNs is validated through experiments. Our prediction was able to achieve nearly 100 % precise maximum delays of real stream processing applications.
ER -
NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA. Model for Performance Analysis of Distributed Stream Processing Applications. In Chen, Qiming and Hameurlain, Abdelkader and Toumani, Farouk and Wagner, Roland and Decker, Hendrik. \textit{Database and Expert Systems Applications}. Cham: Springer International Publishing, 2015, p.~520-533. ISBN~978-3-319-22851-8. Available from: https://dx.doi.org/10.1007/978-3-319-22852-5\_{}42.
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