Journal article

RYCHLÝ Marek, ŠKODA Petr and SMRŽ Pavel. Heterogeneity-Aware Scheduler for Stream Processing Frameworks. International Journal of Big Data Intelligence. Olney: Inderscience Publishers, 2015, vol. 2, no. 2, pp. 70-80. ISSN 2053-1397. Available from:
Publication language:english
Original title:Heterogeneity-Aware Scheduler for Stream Processing Frameworks
Title (cs):Plánovač využívající znalosti heterogenního prostředí pro rámce zpracovávající proudy dat
Journal:International Journal of Big Data Intelligence, Vol. 2, No. 2, Olney, GB
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iconIJBDI020201_RYCHLY.pdfHeterogeneity-Aware Scheduler for Stream Processing Frameworks451 KB2015-05-11 22:01:01
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scheduling; resource awareness; benchmarking; stream processing; Apache Storm; heterogeneous clusters; heterogeneity awareness; resource allocation
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.
   author = {Marek Rychl{\'{y}} and Petr {\v{S}}koda and Pavel
   title = {Heterogeneity-Aware Scheduler for Stream
	Processing Frameworks},
   pages = {70--80},
   journal = {International Journal of Big Data Intelligence},
   volume = 2,
 number = 2,
   year = 2015,
   ISSN = {2053-1397},
   doi = {10.1504/IJBDI.2015.069090},
   language = {english},
   url = {}

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