Conference paper Open Access

ECSched: Efficient Container Scheduling on Heterogeneous Clusters

Hu, Yang; Zhou, Huan; de Laat, Cees; Zhao, Zhiming


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  <identifier identifierType="URL">https://zenodo.org/record/5501723</identifier>
  <creators>
    <creator>
      <creatorName>Hu, Yang</creatorName>
      <givenName>Yang</givenName>
      <familyName>Hu</familyName>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>Zhou, Huan</creatorName>
      <givenName>Huan</givenName>
      <familyName>Zhou</familyName>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>de Laat, Cees</creatorName>
      <givenName>Cees</givenName>
      <familyName>de Laat</familyName>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
    <creator>
      <creatorName>Zhao, Zhiming</creatorName>
      <givenName>Zhiming</givenName>
      <familyName>Zhao</familyName>
      <nameIdentifier nameIdentifierScheme="ORCID" schemeURI="http://orcid.org/">0000-0002-6717-9418</nameIdentifier>
      <affiliation>University of Amsterdam</affiliation>
    </creator>
  </creators>
  <titles>
    <title>ECSched: Efficient Container Scheduling on Heterogeneous Clusters</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2018</publicationYear>
  <subjects>
    <subject>Container</subject>
    <subject>scheduling</subject>
    <subject>Cloud computing</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2018-08-14</date>
  </dates>
  <resourceType resourceTypeGeneral="ConferencePaper"/>
  <alternateIdentifiers>
    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/5501723</alternateIdentifier>
  </alternateIdentifiers>
  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsIdenticalTo">10.1007/978-3-319-96983-1_26</relatedIdentifier>
  </relatedIdentifiers>
  <version>camera ready</version>
  <rightsList>
    <rights rightsURI="https://creativecommons.org/licenses/by/4.0/legalcode">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;Operating system (OS) containers are becoming increasingly popular in cloud computing for improving productivity and code porta-bility. However, container scheduling on large heterogeneous cluster is quite challenging. Recent research on cluster scheduling focuses either on scheduling speed to quickly assign resources, or on scheduling quality to improve application performance and cluster utilization. In this paper, we propose ECSched, an efficient container scheduler that can make high-quality and fast placement decisions for concurrent deployment requests on heterogeneous clusters. We map the scheduling problem to a graphic data structure and model it as minimum cost flow problem (MCFP). We implement ECSched based on our cost model, which encodes the deployment requirements of requested containers. In the evaluation, we show that ECSched exceeds the placement quality of existing container schedulers with relatively small overheads, while providing 1.1&amp;times; better resource efficiency and 1.3&amp;times; lower average container completion time.&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/100010661</funderIdentifier>
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      <funderName>European Commission</funderName>
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      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/654182/">654182</awardNumber>
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      <funderName>European Commission</funderName>
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      <awardTitle>Software Workbench for Interactive, Time Critical and Highly self-adaptive cloud applications</awardTitle>
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  </fundingReferences>
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