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      <title-group>
        <article-title>Towards cross-layer monitoring of cloud work ows</article-title>
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      <contrib-group>
        <contrib contrib-type="author">
          <string-name>Eric Kubler</string-name>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <contrib contrib-type="author">
          <string-name>Mirjam Minor</string-name>
          <email>minorg@informatik.uni-frankfurt.de</email>
          <xref ref-type="aff" rid="aff0">0</xref>
        </contrib>
        <aff id="aff0">
          <label>0</label>
          <institution>Wirtschaftsinformatik, Goethe University</institution>
          ,
          <addr-line>Robert-Mayer-Str.10, Frankfurt am Main</addr-line>
          ,
          <country country="DE">Germany</country>
        </aff>
      </contrib-group>
      <pub-date>
        <year>2015</year>
      </pub-date>
      <abstract>
        <p>Prospective cloud management requires sophisticated monitoring capabilities. In this paper, we introduce a novel monitoring framework for cloud-based work ow systems called cWorkload. cWorkload integrates monitoring information from di erent layers of the cloud architecture. The paper puts its focus on the two-layer monitoring regarding the work ow layer and the PaaS layer. We present the layered monitoring architecture, an implementation of the two-layer cross-monitoring part, and an experimental evaluation with sample work ow data. Further, we discuss related work on cloud monitoring divided into one-layer, multilayer, and cross-layer approaches. Our plans for future work on extending the implementation by further layers towards a cross-layer, prospective monitoring for prospective cloud management are described. The original version of this re-submission has been published at CLOSER 2015 [Kubler and Minor, 2015].</p>
      </abstract>
      <kwd-group>
        <kwd>Cloud Management</kwd>
        <kwd>Cloud Monitoring</kwd>
        <kwd>Work ow Management</kwd>
        <kwd>Case-Based Reasoning</kwd>
      </kwd-group>
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