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  <titleInfo>
    <title>Intelligent network service control point performance analysis for network planning</title>
  </titleInfo>
  <name type="personal">
    <namePart>Gyanwali, Sushil C.</namePart>
    <role>
      <roleTerm authority="marcrelator" type="text">creator</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Murch, Alan</namePart>
    <role>
      <roleTerm type="text">Chairperson</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Lochmann, Steffen</namePart>
    <role>
      <roleTerm type="text">Examination committee</roleTerm>
    </role>
  </name>
  <name type="personal">
    <namePart>Erke, Tapio J.</namePart>
    <role>
      <roleTerm type="text">Examination Committee</roleTerm>
    </role>
  </name>
  <name type="corporate">
    <namePart>Finnish International Development Agency (FlNIDA)</namePart>
  </name>
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  <originInfo>
    <place>
      <placeTerm type="code" authority="marccountry">th</placeTerm>
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    <place>
      <placeTerm type="text">Bangkok</placeTerm>
    </place>
    <publisher>Asian Institute of Technology</publisher>
    <dateIssued>1992</dateIssued>
    <issuance>monographic</issuance>
  </originInfo>
  <language>
    <languageTerm authority="iso639-2b" type="code">eng</languageTerm>
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    <extent>111 leaves</extent>
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  <abstract>Intelligent Network (IN) is a telecommunication architecture which enhances the  management of service logic and related service data. It uses centralized database and control  for the efficient performance of the network as well as introduction of more enhanced and  sophisticated services. The increased architectural complexity of the IN places a heavy demand  on the resource elements. The Service Control Point (SCP) is the element of the IN where the  centralized service logic and related data resides. The allowed SCP delay limit is expressed  as a maximum .average delay and the maximum delay experienced by 95% of the calls  (commonly known as the 95th percentile delay).  This thesis modeled the SCP based on Bellcore's Advanced Intelligent Network (AIN)  Release 1 SCP architecture and investigated the effects of different parameters on the SCP  delay characteristics. The effects were quantified and delay values were tabulated for different  hardware configurations. The factors influencing the delay probability density function (pdf)  were determined. Equations establishing the relationships between the SCP delay and the SCP  hardware/software configurations were derived, to help in network planning. The ratio of 95th  percentile delay to mean delay and the slope of the SCP delay pdf at the 95th percentile delay  were determined as parameters that can be used to describe the SCP performance . </abstract>
  <note>A thesis submitted in partial fulfillment of the requirement for the degree of Master of  Engineering, School of Engineering and Technology </note>
  <note>Thesis (M.Eng.) - Asian Institute of Technology,1992</note>
  <subject authority="lcsh">
    <topic>Network analysis (Planning)</topic>
  </subject>
  <subject authority="lcsh">
    <topic>Intelligent control systems</topic>
  </subject>
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    <titleInfo>
      <title>Thesis ; no. TC-92-4</title>
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    <name type="corporate">
      <namePart>Asian Institute of Technology.</namePart>
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    </name>
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  <identifier type="uri"> http://203.159.5.9/ait-thesis/detail.php?q=B17015</identifier>
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