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  <front>
    <journal-meta>
      <journal-id journal-id-type="publisher-id">109</journal-id>
      <journal-id journal-id-type="index">urn:lsid:arphahub.com:pub:3dc5f44e-8666-58db-bc76-a455210e8891</journal-id>
      <journal-title-group>
        <journal-title xml:lang="en">JUCS - Journal of Universal Computer Science</journal-title>
        <abbrev-journal-title xml:lang="en">jucs</abbrev-journal-title>
      </journal-title-group>
      <issn pub-type="ppub">0948-695X</issn>
      <issn pub-type="epub">0948-6968</issn>
      <publisher>
        <publisher-name>Journal of Universal Computer Science</publisher-name>
      </publisher>
    </journal-meta>
    <article-meta>
      <article-id pub-id-type="doi">10.3217/jucs-012-09-1139</article-id>
      <article-id pub-id-type="publisher-id">28657</article-id>
      <article-categories>
        <subj-group subj-group-type="heading">
          <subject>Research Article</subject>
        </subj-group>
        <subj-group subj-group-type="scientific_subject">
          <subject>H.1.1 - Systems and Information Theory</subject>
          <subject>H.3.3 - Information Search and Retrieval</subject>
        </subj-group>
      </article-categories>
      <title-group>
        <article-title>Performance Modeling of Proxy Cache Servers</article-title>
      </title-group>
      <contrib-group content-type="authors">
        <contrib contrib-type="author" corresp="yes">
          <name name-style="western">
            <surname>Bérczes</surname>
            <given-names>Tamás</given-names>
          </name>
          <email xlink:type="simple">tberczes@inf.unideb.hu</email>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
        <contrib contrib-type="author" corresp="no">
          <name name-style="western">
            <surname>Sztrik</surname>
            <given-names>János</given-names>
          </name>
          <xref ref-type="aff" rid="A1">1</xref>
        </contrib>
      </contrib-group>
      <aff id="A1">
        <label>1</label>
        <addr-line content-type="verbatim">University of Debrecen, Debrecen, Hungary</addr-line>
        <institution>University of Debrecen</institution>
        <addr-line content-type="city">Debrecen</addr-line>
        <country>Hungary</country>
      </aff>
      <author-notes>
        <fn fn-type="corresp">
          <p>Corresponding author: Tamás Bérczes (<email xlink:type="simple">tberczes@inf.unideb.hu</email>).</p>
        </fn>
        <fn fn-type="edited-by">
          <p>Academic editor: </p>
        </fn>
      </author-notes>
      <pub-date pub-type="collection">
        <year>2006</year>
      </pub-date>
      <pub-date pub-type="epub">
        <day>28</day>
        <month>09</month>
        <year>2006</year>
      </pub-date>
      <volume>12</volume>
      <issue>9</issue>
      <fpage>1139</fpage>
      <lpage>1153</lpage>
      <uri content-type="arpha" xlink:href="http://openbiodiv.net/4B442923-F238-509B-B0E3-4FE720216D72">4B442923-F238-509B-B0E3-4FE720216D72</uri>
      <uri content-type="zenodo_dep_id" xlink:href="https://zenodo.org/record/6997104">6997104</uri>
      <permissions>
        <copyright-statement>Tamás Bérczes, János Sztrik</copyright-statement>
        <license license-type="creative-commons-attribution" xlink:href="" xlink:type="simple">
          <license-p>This article is freely available under the J.UCS Open Content License.</license-p>
        </license>
      </permissions>
      <abstract>
        <label>Abstract</label>
        <p>The primary aim of the present paper is to modify the performance model of Boseand Cheng [1] to a more realistic case when external visits are also allowed to the remote Web servers and the Web servers have limited buffer. We analyze how many parameters affect theperformance of a Proxy Cache Server. Numerical results are obtained for the overall response time with and without a PCS. These results show that the benefit of a PCS depends on variousfactors. Several numerical examples illustrate the effect of visit rates, visit rates for the external users , and the cache hit rate probability on the mean response times.</p>
      </abstract>
    </article-meta>
  </front>
</article>
