Detail publikace

Scheduling Decisions in Stream Processing on Heterogeneous Clusters

RYCHLÝ, M. ŠKODA, P. SMRŽ, P.

Originální název

Scheduling Decisions in Stream Processing on Heterogeneous Clusters

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální abstrakt

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.

Klíčová slova

scheduling; resource-awareness; benchmarking; heterogeneous clusters; stream processing; Apache Storm

Autoři

RYCHLÝ, M.; ŠKODA, P.; SMRŽ, P.

Rok RIV

2014

Vydáno

2. 7. 2014

Nakladatel

IEEE Computer Society

Místo

Birmingham

ISBN

978-1-4799-4325-8

Kniha

2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems

Strany od

614

Strany do

619

Strany počet

6

URL

http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6915583

BibTex

@inproceedings{BUT111552,
  author="Marek {Rychlý} and Petr {Škoda} and Pavel {Smrž}",
  title="Scheduling Decisions in Stream Processing on Heterogeneous Clusters",
  booktitle="2014 Eighth International Conference on Complex, Intelligent and Software Intensive Systems",
  year="2014",
  pages="614--619",
  publisher="IEEE Computer Society",
  address="Birmingham",
  doi="10.1109/CISIS.2014.94",
  isbn="978-1-4799-4325-8",
  url="http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6915583"
}

Dokumenty

cisis14-rychly.print.pdf
sched-decs-in-stream-procs-on-htrg-clusters.pdf