Detailed Information on Publication Record
2016
Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets
NÁLEPA, Filip, Michal BATKO and Pavel ZEZULABasic 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
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Country of publisher
Switzerland
Confidentiality degree
není předmětem státního či obchodního tajemství
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
UT WoS
000374173700009
Keywords in English
Stream processing; Performance analysis; Data stream model; Colored Petri Nets
Tags
Tags
International impact, Reviewed
Změněno: 13/5/2020 19:24, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
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 project |
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