Master’s Thesis Presentation • Systems and Networking — In Search of a Scalable Geo-Distributed BFT Consensus ProtocolExport this event to calendar

Wednesday, August 5, 2020 11:00 AM EDT

Please note: This master’s thesis presentation will be given online.

Qingnan Duan, Master’s candidate
David R. Cheriton School of Computer Science

Byzantine fault tolerant consensus protocols are a crucial component in blockchain systems. Traditional BFT consensus protocols have poor scalability, and their performance is sensitive to the latency between their participants, which leads to low performance in a geo-distributed deployment. RCanopus is a consensus protocol that aims to provide high throughput and good scalability in a geo-distributed environment. It organizes participants into a hierarchical structure that is topology-aware. We implemented an ordering service for HyperLedger Fabric with RCanopus, and evaluated its performance on AWS. Comparing to running SBFT across all datacenters, RCanopus is able to achieve a 10.7x increase in peak throughput in a deployment across 4 AWS regions. During our evaluation, we also identified several design challenges and proposed a few protocol extensions to further improve RCanopus. We implemented a prototype in order to evaluate the extensions that are not included in our ordering service. Our evaluation results show that the new extensions can improve the peak throughput by 12.7% to 114.3%, depending on the available bandwidth on wide area links.

To participate in this presentation virtually, please join the meeting on Microsoft Teams.

Location 
Online presentation
200 University Avenue West

Waterloo, ON N2L 3G1
Canada

S M T W T F S
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
1
2
3
4
  1. 2024 (98)
    1. April (21)
    2. March (27)
    3. February (25)
    4. January (25)
  2. 2023 (296)
    1. December (20)
    2. November (28)
    3. October (15)
    4. September (25)
    5. August (30)
    6. July (30)
    7. June (22)
    8. May (23)
    9. April (32)
    10. March (31)
    11. February (18)
    12. January (22)
  3. 2022 (245)
  4. 2021 (210)
  5. 2020 (217)
  6. 2019 (255)
  7. 2018 (217)
  8. 2017 (36)
  9. 2016 (21)
  10. 2015 (36)
  11. 2014 (33)
  12. 2013 (23)
  13. 2012 (4)
  14. 2011 (1)
  15. 2010 (1)
  16. 2009 (1)
  17. 2008 (1)