Heterogeneity-Aware Scheduler for Stream Processing Frameworks

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F15%3APU116935" target="_blank" >RIV/00216305:26230/15:PU116935 - isvavai.cz</a>

Výsledek na webu

<a href="http://www.inderscience.com/info/inarticle.php?artid=69090" target="_blank" >http://www.inderscience.com/info/inarticle.php?artid=69090</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1504/IJBDI.2015.069090" target="_blank" >10.1504/IJBDI.2015.069090</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Heterogeneity-Aware Scheduler for Stream Processing Frameworks

Popis výsledku v původním jazyce

This article discusses problems and decisions related to scheduling of stream processing applications in heterogeneous clusters. An overview of the current state of the art of the stream processing on heterogeneous clusters with a focus on resource allocation and scheduling is presented first. Then, common scheduling approaches of various stream processing frameworks are discussed and their limited applicability in the heterogeneous environment is demonstrated on a simple stream application. Finally, the article presents a novel heterogeneity-aware scheduler for the stream processing frameworks based on design-time knowledge as well as benchmarking techniques. It is shown that the scheduler overcomes alternatives in resource-aware deployment over cluster nodes and thus it leads to a better utilisation of the clusters.

Název v anglickém jazyce

Heterogeneity-Aware Scheduler for Stream Processing Frameworks

Popis výsledku anglicky

This article discusses problems and decisions related to scheduling of stream processing applications in heterogeneous clusters. An overview of the current state of the art of the stream processing on heterogeneous clusters with a focus on resource allocation and scheduling is presented first. Then, common scheduling approaches of various stream processing frameworks are discussed and their limited applicability in the heterogeneous environment is demonstrated on a simple stream application. Finally, the article presents a novel heterogeneity-aware scheduler for the stream processing frameworks based on design-time knowledge as well as benchmarking techniques. It is shown that the scheduler overcomes alternatives in resource-aware deployment over cluster nodes and thus it leads to a better utilisation of the clusters.

Druh

J_x - Nezařazeno - Článek v odborném periodiku (Jimp, Jsc a Jost)

CEP obor

IN - Informatika

OECD FORD obor

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Projekt

<a href="/cs/project/ED1.1.00%2F02.0070" target="_blank" >ED1.1.00/02.0070: Centrum excelence IT4Innovations</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2015

Kód důvěrnosti údajů

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

Název periodika

International Journal of Big Data Intelligence

ISSN

2053-1397

e-ISSN

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Svazek periodika

2

Číslo periodika v rámci svazku

2

Stát vydavatele periodika

GB - Spojené království Velké Británie a Severního Irska

Počet stran výsledku

11

Strana od-do

70-80

Kód UT WoS článku

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EID výsledku v databázi Scopus

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