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Massachusetts Institute of Technology

Fault Tolerant Broadcast in Bandwidth-Constrained Networks

Abstract

dc:description.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.

Degree

thesis:*
Name thesis:degree_name
Master
Department dc:contributor.department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Grantor dc:publisher
Massachusetts Institute of Technology
Year dc:date.issued
2023

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Kaklamanis, Ioannis
Advisors dc:contributor.advisor
  • Alizadeh, Mohammad
  • Yang, Lei

Rights

dc:rights
Statement dc:rights
  • In Copyright - Educational Use Permitted
  • Copyright retained by author(s)

Identifiers

dc:identifier.*
Handle dc:identifier.uri
https://hdl.handle.net/1721.1/151630
OAI identifier oai:identifier
oai:dspace.mit.edu:1721.1/151630

Chain of custody

source
Harvested from
MIT
Base URL
dspace.mit.edu/oai/request
Last updated
2026-07-22
Source record
OAI-PMH GetRecord
related terms
citation

Kaklamanis, Ioannis. Fault Tolerant Broadcast in Bandwidth-Constrained Networks. Massachusetts Institute of Technology, 2023. https://hdl.handle.net/1721.1/151630