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Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets

The result's identifiers

  • Result code in 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>

  • Result on the web

    <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>

Alternative languages

  • Result language

    angličtina

  • Original language name

    Performance Analysis of Distributed Stream Processing Applications Through Colored Petri Nets

  • Original language description

    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.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    IN - Informatics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/GBP103%2F12%2FG084" target="_blank" >GBP103/12/G084: Center for Large Scale Multi-modal Data Interpretation</a><br>

  • Continuities

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

Others

  • Publication year

    2016

  • Confidentiality

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

Data specific for result type

  • Article name in the collection

    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

  • Number of pages

    14

  • Pages from-to

    93-106

  • Publisher name

    Springer International Publishing

  • Place of publication

    Basel

  • Event location

    Telč, Česká republika

  • Event date

    Oct 23, 2015

  • Type of event by nationality

    EUR - Evropská akce

  • UT code for WoS article