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    <meta name="description" content="Partnerships and Cooperations - National Initiatives"/>
    <meta name="dc.title" content="Partnerships and Cooperations - National Initiatives"/>
    <meta name="dc.creator" content="Alexandru Costan"/>
    <meta name="dc.creator" content="Pedro Silva"/>
    <meta name="dc.creator" content="Paul Le Noac'h"/>
    <meta name="dc.creator" content="Gabriel Antoniu"/>
    <meta name="dc.creator" content="Alexandru Costan"/>
    <meta name="dc.creator" content="Pedro Silva"/>
    <meta name="dc.creator" content="Hadi Salimi"/>
    <meta name="dc.creator" content="Gabriel Antoniu"/>
    <meta name="dc.creator" content="Luc Bougé"/>
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          <a href="uid1.html">Team, Visitors, External Collaborators</a>
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      <div class="TdmEntry">Overall Objectives<ul><li><a href="./uid3.html">Context: the need for scalable data management</a></li></ul></div>
      <div class="TdmEntry">Research Program<ul><li><a href="uid12.html&#10;&#9;&#9;  ">Research axis 1: Convergence of Extreme-Scale Computing and Big
Data Infrastructures</a></li><li><a href="uid19.html&#10;&#9;&#9;  ">Research axis 2: Advanced stream data processing</a></li><li><a href="uid26.html&#10;&#9;&#9;  ">Research axis 3: I/O management, in situ visualization and analysis
on HPC systems at extreme scales</a></li></ul></div>
      <div class="TdmEntry">New Software and Platforms<ul><li><a href="uid37.html&#10;&#9;&#9;  ">Damaris</a></li><li><a href="uid42.html&#10;&#9;&#9;  ">OverFlow</a></li><li><a href="uid45.html&#10;&#9;&#9;  ">Pufferbench</a></li><li><a href="uid51.html&#10;&#9;&#9;  ">Tyr</a></li><li><a href="uid54.html&#10;&#9;&#9;  ">Planner</a></li><li><a href="uid58.html&#10;&#9;&#9;  ">KerA</a></li><li><a href="uid60.html&#10;&#9;&#9;  ">TailWind</a></li></ul></div>
      <div class="TdmEntry">New Results<ul><li><a href="uid63.html&#10;&#9;&#9;  ">Convergence of HPC and Big Data</a></li><li><a href="uid67.html&#10;&#9;&#9;  ">Scalable stream storage</a></li><li><a href="uid70.html&#10;&#9;&#9;  ">Hybrid edge/cloud processing</a></li><li><a href="uid74.html&#10;&#9;&#9;  ">Scalable I/O, storage and in-situ visualization</a></li></ul></div>
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      <div class="TdmEntry">Partnerships and Cooperations<ul><li class="tdmActPage"><a href="uid82.html&#10;&#9;&#9;  ">National Initiatives</a></li><li><a href="uid106.html&#10;&#9;&#9;  ">European Initiatives</a></li><li><a href="uid128.html&#10;&#9;&#9;  ">International Initiatives</a></li><li><a href="uid149.html&#10;&#9;&#9;  ">International Research Visitors</a></li></ul></div>
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	    2018</a> | <a href="http://www.inria.fr/en/teams/kerdata">Presentation of the Project-Team KERDATA</a> | <a href="https://team.inria.fr/kerdata/">KERDATA Web Site
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        <h2>Section: 
      Partnerships and Cooperations</h2>
        <h3 class="titre3">National Initiatives</h3>
        <a name="uid83"/>
        <h4 class="titre4">ANR</h4>
        <a name="uid84"/>
        <h5 class="titre5">OverFlow (2015–2019)</h5>
        <p class="participants"><span class="part">Participants</span> :
	Alexandru Costan, Pedro Silva, Paul Le Noac'h.</p>
        <dl>
          <dt>Project Acronym:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid85"> </a>OverFlow.</p>
          </dd>
          <dt>Project Title:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid86"> </a>Workflow Data Management as a Service for
Multisite Applications.</p>
          </dd>
          <dt>Coordinator:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid87"> </a>Alexandru Costan.</p>
          </dd>
          <dt>Duration:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid88"> </a>Octobre 2015–October 2019.</p>
          </dd>
          <dt>Other Partners:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid89"> </a>None (Young Researcher Project).</p>
          </dd>
          <dt>External collaborators:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid90"> </a><a href="http://www.mcs.anl.gov/person/kate-keahey/">Kate Keahey</a>
(University of Chicago and Argonne National Laboratory),
<a href="http://www.bnicolae.net/">Bogdan Nicolae</a> (Argonne National Lab).</p>
          </dd>
          <dt>Abstract:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid91"> </a>This JCJC project led by Alexandru Costan
investigates approaches to data management enabling an efficient
execution of geographically distributed workflows running on
multi-site clouds.</p>
          </dd>
        </dl>
        <p>In 2018, we focused on the challenges of
executing workflows on hybrid environments combining the
Cloud and the Edge. First, processing live data sources
at the Edge can offer a potential solution that deals with the explosion
of data sizes, as the data is filtered and aggregated locally,
before it gets a chance to accumulate. Then, partial results
instead of full data are sent to the Cloud for stream processing. In
this context, we designed Planner, a middleware for uniform and
transparent stream processing across Edge and Cloud. Planner
automatically selects which parts of the execution graph will be
executed at the Edge in order to minimize the network cost.
We also focused on understanding the conditions that enable
the usage of Edge or Cloud to improve the performance or
reduce costs of an application.</p>
        <a name="uid92"/>
        <h4 class="titre4">Other National Projects</h4>
        <a name="uid93"/>
        <h5 class="titre5">HPC-Big Data Inria Project Lab (IPL)</h5>
        <p class="participants"><span class="part">Participants</span> :
	Gabriel Antoniu, Alexandru Costan, Pedro Silva.</p>
        <dl>
          <dt>Project Acronym:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid94"> </a>HPC-BigData</p>
          </dd>
          <dt>Project Title:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid95"> </a>The HPC-BigData Inria Project Lab</p>
          </dd>
          <dt>Coordinator:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid96"> </a>Bruno Raffin.</p>
          </dd>
          <dt>Duration:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid97"> </a>2018–2022.</p>
          </dd>
          <dt>Abstract:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid98"> </a>The goal of this HPC-BigData IPL is to gather teams from the HPC,
Big Data and Machine Learning (ML) areas to work at the intersection between these domains.
Research is organized along three main axes: high performance analytics for scientific computing
applications, high performance analytics for big data applications, infrastructure and resource
management. Gabriel Antoniu is a member of the Advisory Board and leader of the Frameworks
work package.</p>
          </dd>
        </dl>
        <a name="uid99"/>
        <h5 class="titre5">ADT Damaris</h5>
        <p class="participants"><span class="part">Participants</span> :
	Hadi Salimi, Gabriel Antoniu, Luc Bougé.</p>
        <dl>
          <dt>Project Acronym:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid100"> </a>ADT Damaris</p>
          </dd>
          <dt>Project Title:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid101"> </a>Technology development action for te Damaris
environment.</p>
          </dd>
          <dt>Coordinator:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid102"> </a>Alexandru Costan.</p>
          </dd>
          <dt>Duration:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid103"> </a>2016–2018.</p>
          </dd>
          <dt>Abstract:</dt>
          <dd>
            <p class="notaparagraph"><a name="uid104"> </a>This action aims to support the development of the
Damaris software. Inria's <i>Technological Development Office</i>
(D2T, <i>Direction du Développement Technologique</i>) provided 2
years of funding support for a senior engineer.</p>
            <p><a name="uid104"> </a>Hadi Salimi has been funded through this project to document, test and
extend the <a href="http://project.inria.fr/damaris/">Damaris</a>
software and make it a safely distributable product.</p>
            <p><a name="uid104"> </a>In 2018, the main goal was to enforce the support Damaris provides for HDF5 storage.</p>
          </dd>
        </dl>
        <a name="uid105"/>
        <h5 class="titre5">Grid'5000</h5>
        <p>We are members of Grid'5000 community and run experiments on the
Grid'5000 platform on a daily basis.</p>
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