<?xml version="1.0" encoding="UTF-8"?><?xml-stylesheet type="text/xsl" href="static/style.xsl"?><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>2026-09-20T03:04:17Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/53222" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/53222</identifier><datestamp>2022-01-13T07:54:46Z</datestamp><setSpec>com_1721.1_7582</setSpec><setSpec>com_1721.1_7581</setSpec><setSpec>col_1721.1_131023</setSpec></header><metadata><dim:dim xmlns:dim="http://www.dspace.org/xmlns/dspace/dim" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xmlns:doc="http://www.lyncode.com/xoai" xsi:schemaLocation="http://www.dspace.org/xmlns/dspace/dim http://www.dspace.org/schema/dim.xsd">
   <dim:field mdschema="dc" element="contributor" qualifier="advisor" lang="en_US">Richard Roth and Randolph Kirchain.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author" lang="en_US">Rand-Nash, Thomas</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="other" lang="en_US">Massachusetts Institute of Technology. Dept. of Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Materials Science and Engineering</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Engineering Systems Division</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2010-03-25T15:16:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2010-03-25T15:16:59Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="copyright" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued" lang="en_US">2009</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">http://hdl.handle.net/1721.1/53222</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="oclc" lang="en_US">530158721</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Thesis (S.M.)--Massachusetts Institute of Technology, Engineering Systems Division; and, (S.M.)--Massachusetts Institute of Technology, Dept. of Materials Science and Engineering, 2009.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Cataloged from PDF version of thesis.</dim:field>
   <dim:field mdschema="dc" element="description" lang="en_US">Includes bibliographical references (p. 127-128).</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract" lang="en_US">This thesis explores the impact of relative lifecycle cost tradeoffs on technology strategy, and characterizes two factors driving these costs: population demographics, and uncertainty in component costs. The methodology developed consists of three novel components which address gaps in the current literature in the areas of large-scale network design, multi-attribute population characterization, and cost modeling. Three technologies representing near, mid, and long-term fiber-to-the-home gigabit passive optical network solutions, and seven implementation strategies are dimensioned for two significantly different population demographics, each representing large coverage regions containing millions of subscribers. The methodology is able to successfully characterize how relative network topologies changed as a function of population attributes, revealing complex cost tradeoffs between technology strategies.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="statementofresponsibility" lang="en_US">by Thomas Rand-Nash.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree" lang="en_US">S.M.</dim:field>
   <dim:field mdschema="dc" element="format" qualifier="extent" lang="en_US">128 p.</dim:field>
   <dim:field mdschema="dc" element="language" qualifier="iso" lang="en_US">eng</dim:field>
   <dim:field mdschema="dc" element="publisher" lang="en_US">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights" lang="en_US">M.I.T. theses are protected by 
copyright. They may be viewed from this source for any purpose, but 
reproduction or distribution in any format is prohibited without written 
permission. See provided URL for inquiries about permission.</dim:field>
   <dim:field mdschema="dc" element="rights" qualifier="uri" lang="en_US">http://dspace.mit.edu/handle/1721.1/7582</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Engineering Systems Division.</dim:field>
   <dim:field mdschema="dc" element="subject" lang="en_US">Materials Science and Engineering.</dim:field>
   <dim:field mdschema="dc" element="title" lang="en_US">Characterizing capital and operational tradeoffs resulting from fiber-to-the-home optical network architecture choice</dim:field>
   <dim:field mdschema="dc" element="type" lang="en_US">Thesis</dim:field>
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   	&lt;Title>Characterizing capital and operational tradeoffs resulting from fiber-to-the-home optical network architecture choice&lt;/Title>
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   	&lt;PublicationDate>2009&lt;/PublicationDate>
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        	&lt;DisplayName>Rand-Nash, Thomas&lt;/DisplayName>
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    &lt;License>http://dspace.mit.edu/handle/1721.1/7582&lt;/License>
    &lt;Keyword>Engineering Systems Division.&lt;/Keyword>
    &lt;Keyword>Materials Science and Engineering.&lt;/Keyword>
   	&lt;Abstract>This thesis explores the impact of relative lifecycle cost tradeoffs on technology strategy, and characterizes two factors driving these costs: population demographics, and uncertainty in component costs. The methodology developed consists of three novel components which address gaps in the current literature in the areas of large-scale network design, multi-attribute population characterization, and cost modeling. Three technologies representing near, mid, and long-term fiber-to-the-home gigabit passive optical network solutions, and seven implementation strategies are dimensioned for two significantly different population demographics, each representing large coverage regions containing millions of subscribers. The methodology is able to successfully characterize how relative network topologies changed as a function of population attributes, revealing complex cost tradeoffs between technology strategies.&lt;/Abstract>
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