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<item>
  <id>05987260</id>
  <dt>a</dt>
  <an>05987260</an>
  <augroup>
    <au>Chen, Leilei</au>
    <au>Yang, Jian</au>
    <au>Zhang, Liang</au>
  </augroup>
  <ti>Time based QoS modeling and prediction for Web services.</ti>
  <so>Kappel, Gerti (ed.) et al., Service-oriented computing. 9th international conference, ICSOC 2011, Paphos, Cyprus, December 5--8, 2011 Proceedings. Berlin: Springer (ISBN 978-3-642-25534-2/pbk). Lecture Notes in Computer Science 7084, 532-540 (2011).</so>
  <py>2011</py>
  <pu>Berlin: Springer</pu>
  <lagroup>
    <la>EN</la>
  </lagroup>
  <ccgroup>
  </ccgroup>
  <utgroup>
  </utgroup>
  <cigroup>
  </cigroup>
  <ligroup>
    <li>doi:10.1007/978-3-642-25535-9_38</li>
  </ligroup>
  <abgroup>
    <ab>Summary: Quality of Service (QoS) prediction and aggregation for composite services is one of the key issues in service computing. Existing solutions model service QoSs either as deterministic values or probabilistic distributions. However, these works overlooked an important aspect in QoS modeling, time. Most QoS metrics, such as response time, availability, are time-dependent. We believe time variation should be explicitly reflected in QoS modeling as well as aggregation. In this paper, we propose a dynamic Web service QoS model to capture the time based QoS patterns, based on which QoS of composite services are aggregated.</ab>
    <rv></rv>
  </abgroup>
</item>