<?xml version="1.0" encoding="UTF-8"?>
<OAI-PMH xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd">
  <responseDate>2026-10-11T13:39:33Z</responseDate>
  <request identifier="25610" metadataPrefix="oai_dc" verb="GetRecord">https://drops.dagstuhl.de/oai</request>
  <GetRecord>
    <record>
      <header>
        <identifier>oai:drops-oai.dagstuhl.de:25610</identifier>
        <datestamp>2026-06-23T10:10:20Z</datestamp>
        <setSpec>ddc:004</setSpec>
        <setSpec>open_access</setSpec>
      </header>
      <metadata>
        <oai_dc:dc xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
          <dc:title>Five Blind Men and the Internet: Towards an Understanding of Internet Traffic</dc:title>
          <dc:creator>Kirci, Ege Cem</dc:creator>
          <dc:creator>Mishra, Ayush</dc:creator>
          <dc:creator>Vanbever, Laurent</dc:creator>
          <dc:subject>Internet Exchange Point (IXP)</dc:subject>
          <dc:subject>traffic measurement</dc:subject>
          <dc:subject>longitudinal study</dc:subject>
          <dc:subject>traffic growth</dc:subject>
          <dc:subject>diurnal patterns</dc:subject>
          <dc:subject>PeeringDB</dc:subject>
          <dc:subject>global-scale detection</dc:subject>
          <dc:subject>network anomalies</dc:subject>
          <dc:description>Our current view of traffic on the Internet - the world’s largest and most pervasive network - comes from a variety of perspectives, each with its own blind spots and biases. In this paper, we make the case for using publicly available Internet exchange point (IXP) statistics as a complementary vantage point. While IXP data has its own limitations, it is fine-grained, accessible, and independently verifiable - offering a distinct perspective on Internet usage patterns. We present results from a two-year study (2023-2024) of 472 IXPs worldwide, capturing approximately 300 Tbps of peak daily aggregate traffic by late 2024. Over this period, aggregate IXP traffic increased by 49.2% (24.5% annualized), with regionally distinct diurnal patterns and event-driven anomalies. These results provide an accessible framework for researchers and operators to study the Internet’s evolving ecosystem from an IXP-based perspective, and lay the groundwork for systematic, global-scale detection of network anomalies and outages.</dc:description>
          <dc:publisher>Schloss Dagstuhl – Leibniz-Zentrum für Informatik</dc:publisher>
          <dc:contributor>Ege Cem Kirci and Ayush Mishra and Laurent Vanbever</dc:contributor>
          <dc:date>2026</dc:date>
          <dc:relation>Is Part Of OASIcs, Volume 139, 1st New Ideas in Networked Systems (NINeS 2026)</dc:relation>
          <dc:type>InProceedings</dc:type>
          <dc:type>Text</dc:type>
          <dc:type>doc-type:ResearchArticle</dc:type>
          <dc:type>publishedVersion</dc:type>
          <dc:format>application/pdf</dc:format>
          <dc:identifier>doi:10.4230/OASIcs.NINeS.2026.25</dc:identifier>
          <dc:identifier>urn:nbn:de:0030-drops-256106</dc:identifier>
          <dc:identifier>https://drops.dagstuhl.de/entities/document/10.4230/OASIcs.NINeS.2026.25</dc:identifier>
          <dc:language>eng</dc:language>
          <dc:rights>https://creativecommons.org/licenses/by/4.0/legalcode</dc:rights>
        </oai_dc:dc>
      </metadata>
    </record>
  </GetRecord>
</OAI-PMH>
