February 7, 2020 Software Open Access

Anonymous

DataCite XML Export

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  <identifier identifierType="DOI">10.5281/zenodo.3657510</identifier>
  <creators>
    <creator>
      <creatorName>Anonymous</creatorName>
    </creator>
  </creators>
  <titles>
    <title>TriScale - Raw Data</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2020</publicationYear>
  <dates>
    <date dateType="Issued">2020-02-07</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
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    <alternateIdentifier alternateIdentifierType="url">https://zenodo.org/record/3657510</alternateIdentifier>
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  <relatedIdentifiers>
    <relatedIdentifier relatedIdentifierType="DOI" relationType="IsVersionOf">10.5281/zenodo.3451417</relatedIdentifier>
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  <version>3.0.0</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;This repository contains the raw data&amp;nbsp;related to the TriScale paper [1]. The corresponding code is available on GitHub [2].&lt;/p&gt;

&lt;blockquote&gt;
&lt;p&gt;&lt;strong&gt;TriScale: A Framework Supporting Reproducible Performance Evaluation in Networking&lt;/strong&gt;&lt;br&gt;
Anonymous Authors&lt;br&gt;
Under submission&lt;/p&gt;
&lt;/blockquote&gt;

&lt;p&gt;&lt;strong&gt;List of files&lt;/strong&gt;&lt;/p&gt;

&lt;ul&gt;
	&lt;li&gt;&lt;strong&gt;UseCase_Pantheon.zip&lt;/strong&gt;&lt;br&gt;
	All data relate to the&amp;nbsp;congestion-control case study from the&amp;nbsp;TriScale paper&amp;nbsp;[1]&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;UseCase_Glossy.zip&lt;/strong&gt;&lt;br&gt;
	All data relate to the&amp;nbsp;wireless embedded systems&amp;nbsp;case study from the&amp;nbsp;TriScale paper [1]&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;UseCase_FailureDetection.zip&lt;/strong&gt;&lt;br&gt;
	All data relate to the&amp;nbsp;failure detection&amp;nbsp;case study from the&amp;nbsp;TriScale paper&amp;nbsp;[1]&lt;/li&gt;
	&lt;li&gt;&lt;strong&gt;UseCase_VideoStreaming.zip&lt;/strong&gt;&lt;br&gt;
	All data relate to the&amp;nbsp;video streaming case study from the&amp;nbsp;TriScale paper&amp;nbsp;[1]&lt;/li&gt;
&lt;/ul&gt;

&lt;p&gt;&lt;strong&gt;References&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;[1]&amp;nbsp;Anonymous. (2020). TriScale: A Framework Supporting Reproducible Performance Evaluations Networking (Version v2). Zenodo. &lt;a href="http://doi.org/10.5281/zenodo.3656819"&gt;http://doi.org/10.5281/zenodo.3656819&lt;/a&gt;&lt;/p&gt;

&lt;p&gt;[2]&amp;nbsp;&lt;a href="https://github.com/TriScale-Anon/triscale"&gt;https://github.com/TriScale-Anon/triscale&lt;/a&gt;&lt;/p&gt;</description>
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