<?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>2026-09-19T12:18:37Z</responseDate><request verb="GetRecord" identifier="oai:dspace.mit.edu:1721.1/151630" metadataPrefix="dim">https://dspace.mit.edu/server/oai/request</request><GetRecord><record><header><identifier>oai:dspace.mit.edu:1721.1/151630</identifier><datestamp>2023-08-01T03:28:36Z</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">Alizadeh, Mohammad</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="advisor">Yang, Lei</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="author">Kaklamanis, Ioannis</dim:field>
   <dim:field mdschema="dc" element="contributor" qualifier="department">Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="accessioned">2023-07-31T19:54:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="available">2023-07-31T19:54:21Z</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="issued">2023-06</dim:field>
   <dim:field mdschema="dc" element="date" qualifier="submitted">2023-06-06T16:34:40.856Z</dim:field>
   <dim:field mdschema="dc" element="identifier" qualifier="uri">https://hdl.handle.net/1721.1/151630</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="abstract">This thesis addresses the problem of achieving scalable fault-tolerant broadcast in networks with limited bandwidth. We begin by examining the limitations of leaderbased protocols, such as HotStuff, which suffer from a leader bottleneck and reduced system throughput as the number of servers increases. To mitigate this, we propose CodedBcaster and Coded HotStuff, a Byzantine Fault Tolerant (BFT) broadcast scheme based on erasure coding, demonstrating a significant improvement in throughput. We further explore the problem of optimal rate allocation in heterogeneous node-constrained networks and provide concrete theoretical results for determining the optimal system throughput rate. Additionally, we propose the MaxMin Rate Controller (MaxMin-RC) protocol as a feedback-based solution to optimize broadcast throughput in non-BFT settings, achieving close alignment with the optimal throughput rate. Through extensive simulations and evaluations, we demonstrate the effectiveness of our proposed solutions.</dim:field>
   <dim:field mdschema="dc" element="description" qualifier="degree">M.Eng.</dim:field>
   <dim:field mdschema="dc" element="publisher">Massachusetts Institute of Technology</dim:field>
   <dim:field mdschema="dc" element="rights">In Copyright - Educational Use Permitted</dim:field>
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   <dim:field mdschema="dc" element="title">Fault Tolerant Broadcast in Bandwidth-Constrained&#xd;
Networks</dim:field>
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   <dim:field mdschema="mit" element="thesis" qualifier="degree">Master</dim:field>
   <dim:field mdschema="thesis" element="degree" qualifier="name">Master of Engineering in Electrical Engineering and Computer Science</dim:field>
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   	&lt;Title>Fault Tolerant Broadcast in Bandwidth-Constrained&#xd;
Networks&lt;/Title>
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   	&lt;PublicationDate>2023-06&lt;/PublicationDate>
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        	&lt;DisplayName>Kaklamanis, Ioannis&lt;/DisplayName>
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   	&lt;Abstract>This thesis addresses the problem of achieving scalable fault-tolerant broadcast in networks with limited bandwidth. We begin by examining the limitations of leaderbased protocols, such as HotStuff, which suffer from a leader bottleneck and reduced system throughput as the number of servers increases. To mitigate this, we propose CodedBcaster and Coded HotStuff, a Byzantine Fault Tolerant (BFT) broadcast scheme based on erasure coding, demonstrating a significant improvement in throughput. We further explore the problem of optimal rate allocation in heterogeneous node-constrained networks and provide concrete theoretical results for determining the optimal system throughput rate. Additionally, we propose the MaxMin Rate Controller (MaxMin-RC) protocol as a feedback-based solution to optimize broadcast throughput in non-BFT settings, achieving close alignment with the optimal throughput rate. Through extensive simulations and evaluations, we demonstrate the effectiveness of our proposed solutions.&lt;/Abstract>
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