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<titleInfo><title>Static scheduling in clouds</title></titleInfo>


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<name type="personal">
  <namePart type="given">Thomas A</namePart>
  <namePart type="family">Henzinger</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">40876CD8-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000−0002−2985−7724</description></name>
<name type="personal">
  <namePart type="given">Anmol</namePart>
  <namePart type="family">Singh</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">72A86902-E99F-11E9-9F62-915534D1B916</identifier></name>
<name type="personal">
  <namePart type="given">Vasu</namePart>
  <namePart type="family">Singh</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">4DAE2708-F248-11E8-B48F-1D18A9856A87</identifier></name>
<name type="personal">
  <namePart type="given">Thomas</namePart>
  <namePart type="family">Wies</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">447BFB88-F248-11E8-B48F-1D18A9856A87</identifier></name>
<name type="personal">
  <namePart type="given">Damien</namePart>
  <namePart type="family">Zufferey</namePart>
  <role><roleTerm type="text">author</roleTerm> </role><identifier type="local">4397AC76-F248-11E8-B48F-1D18A9856A87</identifier><description xsi:type="identifierDefinition" type="orcid">0000-0002-3197-8736</description></name>







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  <namePart>HotCloud: Workshop on Hot Topics in Cloud Computing</namePart>
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<abstract lang="eng">Cloud computing aims to give users virtually unlimited pay-per-use computing resources without the burden of managing the underlying infrastructure. We present a new job execution environment Flextic that exploits scal- able static scheduling techniques to provide the user with a flexible pricing model, such as a tradeoff between dif- ferent degrees of execution speed and execution price, and at the same time, reduce scheduling overhead for the cloud provider. We have evaluated a prototype of Flextic on Amazon EC2 and compared it against Hadoop. For various data parallel jobs from machine learning, im- age processing, and gene sequencing that we considered, Flextic has low scheduling overhead and reduces job du- ration by up to 15% compared to Hadoop, a dynamic cloud scheduler.</abstract>

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<originInfo><publisher>USENIX</publisher><dateIssued encoding="w3cdtf">2011</dateIssued>
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<language><languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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<part><extent unit="pages">1 - 6</extent>
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<bibliographicCitation>
<ama>Henzinger TA, Singh A, Singh V, Wies T, Zufferey D. Static scheduling in clouds. In: USENIX; 2011:1-6.</ama>
<short>T.A. Henzinger, A. Singh, V. Singh, T. Wies, D. Zufferey, in:, USENIX, 2011, pp. 1–6.</short>
<ista>Henzinger TA, Singh A, Singh V, Wies T, Zufferey D. 2011. Static scheduling in clouds. HotCloud: Workshop on Hot Topics in Cloud Computing, 1–6.</ista>
<mla>Henzinger, Thomas A., et al. &lt;i&gt;Static Scheduling in Clouds&lt;/i&gt;. USENIX, 2011, pp. 1–6.</mla>
<ieee>T. A. Henzinger, A. Singh, V. Singh, T. Wies, and D. Zufferey, “Static scheduling in clouds,” presented at the HotCloud: Workshop on Hot Topics in Cloud Computing, 2011, pp. 1–6.</ieee>
<chicago>Henzinger, Thomas A, Anmol Singh, Vasu Singh, Thomas Wies, and Damien Zufferey. “Static Scheduling in Clouds,” 1–6. USENIX, 2011.</chicago>
<apa>Henzinger, T. A., Singh, A., Singh, V., Wies, T., &amp;#38; Zufferey, D. (2011). Static scheduling in clouds (pp. 1–6). Presented at the HotCloud: Workshop on Hot Topics in Cloud Computing, USENIX.</apa>
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