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   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Steve Lerman.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Lehman, Li-wei H., 1965-</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Civil and Environmental Engineering</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2006-02-02T18:51:30Z</dim:field>
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   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2005</dim:field>
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   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Civil and Environmental Engineering, 2005.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 163-168).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">Several recently emerged Internet services make use of application-level or overlay networks. Examples of such services include overlay multicast, structured peer-to- peer lookup services, and peer-to-peer file sharing. Many of these services could benefit from enabling participating end hosts to estimate their relative network locations within the overlay. In this thesis, we present PCoord, a peer-to-peer network coordinate system for overlay topology discovery and distance prediction. The goal of PCoord is to allow participating peer nodes in an overlay network to collaboratively construct an accurate geometric model of the overlay network topology in a completely decentralized peer-to-peer fashion. We evaluate the PCoord approach through extensive simulations using both real network measurements and simulated topologies. Our simulation results indicate that PCoord can embed hosts in a low dimensional Euclidean model with a small median prediction error.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Li-wei H. Lehman.</dim:field>
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   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
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   <dim:field mdschema="dc" element="rights" qualifier="uri">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Civil and Environmental Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">PCoord : a decentralized network coordinate system for Internet distance prediction</dim:field>
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   	&lt;Title>PCoord : a decentralized network coordinate system for Internet distance prediction&lt;/Title>
   	&lt;Subtitle>Decentralized network coordinate system for Internet distance prediction&lt;/Subtitle>
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    &lt;Keyword>Civil and Environmental Engineering.&lt;/Keyword>
   	&lt;Abstract>Several recently emerged Internet services make use of application-level or overlay networks. Examples of such services include overlay multicast, structured peer-to- peer lookup services, and peer-to-peer file sharing. Many of these services could benefit from enabling participating end hosts to estimate their relative network locations within the overlay. In this thesis, we present PCoord, a peer-to-peer network coordinate system for overlay topology discovery and distance prediction. The goal of PCoord is to allow participating peer nodes in an overlay network to collaboratively construct an accurate geometric model of the overlay network topology in a completely decentralized peer-to-peer fashion. We evaluate the PCoord approach through extensive simulations using both real network measurements and simulated topologies. Our simulation results indicate that PCoord can embed hosts in a low dimensional Euclidean model with a small median prediction error.&lt;/Abstract>
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