2016
Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets
NÁLEPA, Filip, Michal BATKO a Pavel ZEZULAZákladní údaje
Originální název
Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets
Autoři
NÁLEPA, Filip (203 Česká republika, garant, domácí), Michal BATKO (203 Česká republika, domácí) a Pavel ZEZULA (203 Česká republika, domácí)
Vydání
Basel, Mathematical and Engineering Methods in Computer Science: 10th International Doctoral Workshop, MEMICS 2015, Telč, Czech Republic, October 23-25, 2015, Revised Selected Papers, od s. 93-106, 14 s. 2016
Nakladatel
Springer International Publishing
Další údaje
Jazyk
angličtina
Typ výsledku
Stať ve sborníku
Obor
10201 Computer sciences, information science, bioinformatics
Stát vydavatele
Švýcarsko
Utajení
není předmětem státního či obchodního tajemství
Forma vydání
tištěná verze "print"
Impakt faktor
Impact factor: 0.402 v roce 2005
Kód RIV
RIV/00216224:14330/16:00087802
Organizační jednotka
Fakulta informatiky
ISBN
978-3-319-29816-0
ISSN
UT WoS
000374173700009
Klíčová slova anglicky
Stream processing; Performance analysis; Data stream model; Colored Petri Nets
Štítky
Příznaky
Mezinárodní význam, Recenzováno
Změněno: 13. 5. 2020 19:24, RNDr. Pavel Šmerk, Ph.D.
Anotace
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.
Návaznosti
GBP103/12/G084, projekt VaV |
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