{"id":{"repo_id":"mit","oai_identifier":"oai:dspace.mit.edu:1721.1/151630"},"canonical_url":"https://search.dev.ndltd.org/etd/mit/oai:dspace.mit.edu:1721.1/151630","repository":{"repo_id":"mit","name":"MIT","base_url":"https://dspace.mit.edu/oai/request"},"display":{"title":"Fault Tolerant Broadcast in Bandwidth-Constrained Networks","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.","abstract_html":"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.","abstract_has_math":false,"creators":["Kaklamanis, Ioannis"],"institution":"Massachusetts Institute of Technology","degree_name":"Master","degree_level":null,"degree_discipline":null,"degree_department":"Massachusetts Institute of Technology. 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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. 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