Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14330%2F16%3A00087802" target="_blank" >RIV/00216224:14330/16:00087802 - isvavai.cz</a>

Výsledek na webu

<a href="http://dx.doi.org/10.1007/978-3-319-29817-7_9" target="_blank" >http://dx.doi.org/10.1007/978-3-319-29817-7_9</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-319-29817-7_9" target="_blank" >10.1007/978-3-319-29817-7_9</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Centrum pro multi-modální interpretaci dat velkého rozsahu</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2016

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

Mathematical and Engineering Methods in Computer Science: 10th International Doctoral Workshop, MEMICS 2015, Telč, Czech Republic, October 23-25, 2015, Revised Selected Papers

ISBN

9783319298160

ISSN

0302-9743

e-ISSN

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Počet stran výsledku

14

Strana od-do

93-106

Název nakladatele

Springer International Publishing

Místo vydání

Basel

Místo konání akce

Telč, Česká republika

Datum konání akce

23. 10. 2015

Typ akce podle státní příslušnosti

EUR - Evropská akce

Kód UT WoS článku

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