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Explorer of Grid Load

Sharma, Mayank; Antunes Pequenao, Joao

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  <identifier identifierType="DOI">10.5281/zenodo.163058</identifier>
      <creatorName>Sharma, Mayank</creatorName>
      <affiliation>CERN openlab Summer Student</affiliation>
      <creatorName>Antunes Pequenao, Joao</creatorName>
      <familyName>Antunes Pequenao</familyName>
      <affiliation>Summer Student Supervisor</affiliation>
    <title>Explorer of Grid Load</title>
    <subject>CERN openlab summer student</subject>
    <date dateType="Issued">2016-10-25</date>
  <resourceType resourceTypeGeneral="Text">Report</resourceType>
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    <rights rightsURI="">Creative Commons Attribution 4.0 International</rights>
    <rights rightsURI="info:eu-repo/semantics/openAccess">Open Access</rights>
    <description descriptionType="Abstract">&lt;p&gt;Introduction&lt;/p&gt;

&lt;p&gt;Big data is a reality scientists face every day. Especially now that CERN projects and collaborations have become Global. The Worldwide LHC Computing Grid processes petabytes of data connecting over 200 active sites in more than 42 countries. It forms the backbone for the data analytics and high processing computing possible through these sites. Therefore, a reliable Grid means reliable operations at collaborating projects, partner companies, institutes and universities. Therefore, it is necessary to have a reliable tool for monitoring and visualizing various performance metrics and other relevant data about the grid. That’s where EGL or Explorer of the Grid Load comes into the picture.&lt;/p&gt;</description>
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