<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.rimac-p2prg-alto-survey" target="https://datatracker.ietf.org/doc/html/draft-rimac-p2prg-alto-survey-00">
   <front>
      <title>A Survey on Research on the Application-Layer Traffic Optimization (ALTO) Problem</title>
      <author initials="I." surname="Rimac" fullname="Ivica Rimac">
         <organization>Bell Labs</organization>
      </author>
      <author initials="V." surname="Hilt" fullname="Volker Hilt">
         <organization>Bell Labs</organization>
      </author>
      <author initials="M." surname="Tomsu" fullname="Marco Tomsu">
         <organization>Bell Labs</organization>
      </author>
      <author initials="V. K." surname="Gurbani" fullname="Vijay K. Gurbani">
         <organization>Bell Labs</organization>
      </author>
      <author initials="E." surname="Marocco" fullname="Enrico Marocco">
         <organization>Telecom Italia</organization>
      </author>
      <date month="July" day="6" year="2009" />
      <abstract>
	 <t>A significant part of the Internet traffic today is generated by
peer-to-peer (P2P) applications used traditionally for file-sharing,
and more recently for real-time communications and live media
streaming.  Such applications discover a route to each other through
an overlay network with little knowledge of the underlying network
topology.  As a result, they may choose peers based on information
deduced from empirical measurements, which can lead to suboptimal
choices.  We refer to this as the Application Layer Traffic
Optimization (ALTO) problem.  In this draft we present a survey of
existing literature on discovering topology characteristics.
	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-rimac-p2prg-alto-survey-00" />
   
</reference>
