<?xml version="1.0" encoding="UTF-8"?>
<reference anchor="I-D.mackcrane-armd-ipv6-nd-scaling" target="https://datatracker.ietf.org/doc/html/draft-mackcrane-armd-ipv6-nd-scaling-00">
   <front>
      <title>IPv6 Neighbor Discovery Scalability for Large Data Centers</title>
      <author initials="B." surname="MackCrane" fullname="Ben MackCrane">
         </author>
      <author initials="L." surname="Dunbar" fullname="Linda Dunbar">
         <organization>Huawei</organization>
      </author>
      <author initials="S." surname="Hares" fullname="Susan Hares">
         <organization>Huawei</organization>
      </author>
      <date month="October" day="14" year="2010" />
      <abstract>
	 <t>Server virtualization allows one physical server to support many
virtual machines (VMs) so that multiple hosts (20, 30, or hundreds)
can be running from one physical platform. As virtual machines are
introduced into a Data Center, the number of hosts within the data
center can grow dramatically, which can have tremendous impact on the
network and hosts.

This document provides an analysis of the scalability of IPv6
Neighbor Discovery (RFC 4861) in data centers with a large number of
virtual machines.
	 </t>
      </abstract>
   </front>
   <seriesInfo name="Internet-Draft" value="draft-mackcrane-armd-ipv6-nd-scaling-00" />
   
</reference>
