Conference paper

RYCHLÝ Marek, ŠKODA Petr and SMRŽ Pavel. Scheduling Decisions in Stream Processing on Heterogeneous Clusters. In: 2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems. Birmingham: IEEE Computer Society, 2014, pp. 614-619. ISBN 978-1-4799-4325-8. Available from: http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6915583
Publication language:english
Original title:Scheduling Decisions in Stream Processing on Heterogeneous Clusters
Title (cs):Rozhodování při rozvrhování zpracování proudů v heterogenních clusterech
Pages:614-619
Proceedings:2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems
Conference:The Eighth International Conference on Complex, Intelligent, and Software Intensive Systems
Place:Birmingham, GB
Year:2014
URL:http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6915583
ISBN:978-1-4799-4325-8
Publisher:IEEE Computer Society
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iconcisis14-rychly.print.pdfPresentation from the conference1,72 MB2014-07-03 13:53:55
iconsched-decs-in-stream-procs-on-htrg-clusters.pdfScheduling Decisions in Stream Processing on Heterogeneous Clusters1015 KB2014-07-02 11:21:19
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Keywords
scheduling; resource-awareness; benchmarking; heterogeneous clusters; stream processing; Apache Storm
Annotation
Stream processing is a paradigm evolving in response to well-known limitations of widely adopted MapReduce paradigm for big data processing, a hot topic of today's computer world. Moreover, in the field of computation facilities, heterogeneity of data processing clusters, intended or unintended, is starting to be relatively common. This paper deals with scheduling problems and decisions in stream processing on heterogeneous clusters. It brings an overview of current state of the art of stream processing on heterogeneous clusters with focus on resource allocation and scheduling. Basic scheduling decisions are discussed and demonstrated on naive scheduling of a sample application. The paper presents a proposal of a novel scheduler for stream processing frameworks on heterogeneous clusters, which employs design-time knowledge as well as benchmarking techniques to achieve optimal resource-aware deployment of applications over the clusters and eventually better overall utilization of the cluster.
BibTeX:
@INPROCEEDINGS{
   author = {Marek Rychl{\'{y}} and Petr {\v{S}}koda and Pavel Smr{\v{z}}},
   title = {Scheduling Decisions in Stream Processing on Heterogeneous
	Clusters},
   pages = {614--619},
   booktitle = {2014 Eighth International Conference on Complex, Intelligent
	and Software Intensive Systems},
   year = {2014},
   location = {Birmingham, GB},
   publisher = {IEEE Computer Society},
   ISBN = {978-1-4799-4325-8},
   language = {english},
   url = {http://www.fit.vutbr.cz/research/view_pub.php.en.iso-8859-2?id=10569}
}

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