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Mowgli: Finding Your Way in the DBMS Jungle

Seybold,Daniel; Domaschka, Jörg


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  <identifier identifierType="DOI">10.5281/zenodo.3341512</identifier>
  <creators>
    <creator>
      <creatorName>Seybold,Daniel</creatorName>
      <givenName>Daniel</givenName>
      <familyName>Seybold</familyName>
      <affiliation>Ulm University</affiliation>
    </creator>
    <creator>
      <creatorName>Domaschka, Jörg</creatorName>
      <givenName>Jörg</givenName>
      <familyName>Domaschka</familyName>
      <affiliation>Ulm University</affiliation>
    </creator>
  </creators>
  <titles>
    <title>Mowgli: Finding Your Way in the DBMS Jungle</title>
  </titles>
  <publisher>Zenodo</publisher>
  <publicationYear>2019</publicationYear>
  <subjects>
    <subject>DBMS</subject>
    <subject>performance</subject>
    <subject>scalability</subject>
    <subject>cloud</subject>
    <subject>database</subject>
    <subject>NoSQL</subject>
    <subject>benchmarking</subject>
  </subjects>
  <dates>
    <date dateType="Issued">2019-07-18</date>
  </dates>
  <language>en</language>
  <resourceType resourceTypeGeneral="Software"/>
  <alternateIdentifiers>
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    <relatedIdentifier relatedIdentifierType="URL" relationType="IsPartOf">https://zenodo.org/communities/spec-rg</relatedIdentifier>
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  <version>0.1</version>
  <rightsList>
    <rights rightsURI="https://opensource.org/licenses/Apache-2.0">Apache License 2.0</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
  </rightsList>
  <descriptions>
    <description descriptionType="Abstract">&lt;p&gt;&lt;strong&gt;Mowgli: Finding Your Way in the DBMS Jungle&lt;/strong&gt;&lt;/p&gt;

&lt;p&gt;This repository contains the accompanying source code of the Mowgli framework (version 0.1) presented at ICPE 2019.&lt;/p&gt;

&lt;p&gt;Version 0.1 automates the performance and scalability evaluations of distributed DBMS in multiple clouds.&lt;/p&gt;

&lt;p&gt;The source code is separated into the individual Mowgli components where each component contains its own readme.&lt;/p&gt;

&lt;p&gt;As the Mowgli framework consists of multiple components there is as well a Docker based&amp;nbsp; deployment option available, see docker-0.1.zip.&lt;/p&gt;

&lt;p&gt;The setup and usage guideline is contained in the getting-started-0.1.zip package and &lt;a href="https://omi-gitlab.e-technik.uni-ulm.de/mowgli/getting-started/tree/0.1"&gt;online&lt;/a&gt;.&lt;/p&gt;

&lt;p&gt;The Mowgli framework will be continuously extended and all components are publicly available: &lt;a href="https://omi-gitlab.e-technik.uni-ulm.de/mowgli"&gt;https://omi-gitlab.e-technik.uni-ulm.de/mowgli&lt;/a&gt;&lt;/p&gt;</description>
  </descriptions>
  <fundingReferences>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/732667/">732667</awardNumber>
      <awardTitle>Reliable Capacity Provisioning and Enhanced Remediation for Distributed Cloud Applications</awardTitle>
    </fundingReference>
    <fundingReference>
      <funderName>European Commission</funderName>
      <funderIdentifier funderIdentifierType="Crossref Funder ID">10.13039/501100000780</funderIdentifier>
      <awardNumber awardURI="info:eu-repo/grantAgreement/EC/H2020/731664/">731664</awardNumber>
      <awardTitle>Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing</awardTitle>
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