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        <identifier>oai:www.ideals.illinois.edu:2142/115431</identifier>
        <datestamp>2023-07-11</datestamp>
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          <dc:contributor>Levchenko, Kirill</dc:contributor>
          <dc:date>2022-05</dc:date>
          <dc:format>application/pdf</dc:format>
          <dc:language>en</dc:language>
          <dc:type>text</dc:type>
          <dc:description>Submission original under an indefinite embargo labeled 'Open Access'. The submission was exported from vireo on 2022-11-11 without embargo terms</dc:description>
          <dc:description>The student, Lamya Alowain, accepted the attached license on 2022-04-21 at 17:08.</dc:description>
          <dc:description>The student, Lamya Alowain, submitted this Thesis for approval on 2022-04-21 at 17:16.</dc:description>
          <dc:description>This Thesis was approved for publication on 2022-04-26 at 08:00.</dc:description>
          <dc:description>DSpace SAF Submission Ingestion Package generated from Vireo submission #17896 on 2022-11-11 at 13:42:53</dc:description>
          <dc:title>MejHAR: using internet measurement platforms to examine web application performance and availability</dc:title>
          <dc:creator>Alowain, Lamya</dc:creator>
          <dc:date>2022-04-26</dc:date>
          <dc:subject>Web performance</dc:subject>
          <dc:subject>Internet Measurement</dc:subject>
          <dc:description>Conducting web application performance tests through internet measurement platforms offers visibility into the web content availability and delivery performance from different regional vantage points. However, achieving this is challenged by the necessity of involving the web browser in conducting the web app performance experiment, which is difficult to achieve over the existing measurements endpoints. This study proposes a system design, MejHAR, that interfaces with the browser and forwards the traffic to measurement nodes to collect web page performance metrics at the vantage point. With the challenge of traffic visibility due to encryption and HTTP/2 multiplexing, the study suggests a mechanism to derive browser metrics from the exchanged traffic using a data analysis approach.</dc:description>
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          <dc:identifier>https://hdl.handle.net/2142/115431</dc:identifier>
          <dc:rights>Copyright 2022 Lamya Alowain</dc:rights>
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            <discipline>Computer Science</discipline>
            <grantor>University of Illinois at Urbana-Champaign</grantor>
            <department>Computer Science</department>
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