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From Paxos to PoX – An Evaluative Framework
for Distributed Consensus Algorithms
Speaker (s):

LIU Huiwen
PhD Candidate
School of Information Systems
Singapore Management University
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Date:
Time:
Venue:
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28 October 2020, Wednesday
10:00am - 11:15am
This is a virtual seminar. Please register by 26 October, the webex link will be sent to those who have registered on the following day.
We look forward to seeing you at this research seminar.

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About the Talk
Distributed ledger technology (DLT), initially fueled by the boom of Bitcoin, has started to attract increasing attention due to its great promise and potential for massive applications where a trusted third party is no longer needed. DLT distinguishes itself from traditional distributed databases with a decentralized, immutable and self-organized ledger system, which hinges upon its most important technical component --- distributed consensus algorithm. A consensus algorithm serves to make sure a valid agreement is reached among a group of mutually distrusted nodes continuously. Widely studied by academia and industry for closed distributed system, this technology’s application to open-access DLT-based system has revitalized the field and led to a plethora of new designs. The inherent complexity of consensus protocols and their dramatic evolution makes it hard to sketch the design landscape. To address this challenge, we firstly conduct a comprehensive study of consensus protocols in DLT, and then design a novel evaluative framework to systematically analyze the resilience, performance and governance of various consensus protocols. Based on the trade-off comparison of various different attributes of the existing consensus protocols in such a framework, distributed ledger system designers would be able to integrate our evaluative framework with their system capabilities to choose the most appropriate and efficient consensus protocol for their applications.
About the Speaker
Liu Huiwen received her master’s degree in the computer science and technology from Soochow University in 2017. She is currently working toward her Ph.D. degree at Singapore Management University (SMU). Her research interests mainly include distributed ledger technology (DLT), data asset and artificial intelligence, and she is working on the most important technical component in the DLT-based system (e.g., Bitcoin, Ethereum or EOS), namely consensus algorithms (e.g., PBFT, PoW or PoS), which serve to make sure a valid agreement is reached among a group of mutually distrusted nodes continuously in the DLT-based system, and try to apply the blockchain technology, especially the consensus algorithms to data asset governance.
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