NÁLEPA, Filip, Michal BATKO and Pavel ZEZULA. Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets. In Jan Kofroň, Tomáš Vojnar. Mathematical and Engineering Methods in Computer Science: 10th International Doctoral Workshop, MEMICS 2015, Telč, Czech Republic, October 23-25, 2015, Revised Selected Papers. Basel: Springer International Publishing, 2016, p. 93-106. ISBN 978-3-319-29816-0. Available from: https://dx.doi.org/10.1007/978-3-319-29817-7_9.
Other formats:   BibTeX LaTeX RIS
Basic information
Original name Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets
Authors NÁLEPA, Filip (203 Czech Republic, guarantor, belonging to the institution), Michal BATKO (203 Czech Republic, belonging to the institution) and Pavel ZEZULA (203 Czech Republic, belonging to the institution).
Edition Basel, Mathematical and Engineering Methods in Computer Science: 10th International Doctoral Workshop, MEMICS 2015, Telč, Czech Republic, October 23-25, 2015, Revised Selected Papers, p. 93-106, 14 pp. 2016.
Publisher Springer International Publishing
Other information
Original language English
Type of outcome Proceedings paper
Field of Study 10201 Computer sciences, information science, bioinformatics
Country of publisher Switzerland
Confidentiality degree is not subject to a state or trade secret
Publication form printed version "print"
Impact factor Impact factor: 0.402 in 2005
RIV identification code RIV/00216224:14330/16:00087802
Organization unit Faculty of Informatics
ISBN 978-3-319-29816-0
ISSN 0302-9743
Doi http://dx.doi.org/10.1007/978-3-319-29817-7_9
UT WoS 000374173700009
Keywords in English Stream processing; Performance analysis; Data stream model; Colored Petri Nets
Tags DISA
Tags International impact, Reviewed
Changed by Changed by: RNDr. Pavel Šmerk, Ph.D., učo 3880. Changed: 13/5/2020 19:24.
Abstract
Nowadays, a lot of data are produced every second and they need to be processed immediately. Processing such unbounded streams of data is often run in a distributed environment in order to achieve high throughput. The challenge is the ability 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 present performance analysis of distributed stream processing applications using Colored Petri Nets (CPNs). We extend our previously proposed model with processing strategies which are used to specify performance effects when multiple tasks are placed on the same resource. We also show a detailed conversion of the whole proposed model to the CPNs. The conversion is validated through simulations of the CPNs which are compared to real streaming applications.
Links
GBP103/12/G084, research and development projectName: Centrum pro multi-modální interpretaci dat velkého rozsahu
Investor: Czech Science Foundation
PrintDisplayed: 26/4/2024 09:25