Paper Info
Title
Resilient Wide-Area Byzantine Consensus Using Adaptive Weighted Replication
Abstract
In geo-replicated systems, the heterogeneous latencies of connections between replicas limit the system's ability to achieve consensus fast. State machine replication (SMR) protocols can be refined for their deployment in wide-area networks by using a weighting scheme for active replication that employs additional replicas and assigns higher voting power to faster replicas. Utilizing more variability in quorum formation allows replicas to swiftly proceed to subsequent protocol stages, thus decreasing consensus latency. However, if network conditions vary during the system's lifespan or faults occur, the system needs a solution to autonomously adjust to new conditions. We incorporate the idea of self-optimization into geographically distributed, weighted replication by introducing AWARE, an automated and dynamic voting weight tuning and leader positioning scheme. AWARE measures replica-to-replica latencies and uses a prediction model, thriving to minimize the system's consensus latency. In experiments using different Amazon EC2 regions, AWARE dynamically optimizes consensus latency by self-reliantly finding a fast weight configuration yielding latency gains observed by clients located across the globe.
Year
DOI
Venue
2019
10.1109/SRDS47363.2019.00029
2019 38th Symposium on Reliable Distributed Systems (SRDS)
Keywords
DocType
ISSN
adaptation,weighted replication,consensus,geo replication,Byzantine fault tolerance,self optimization
Conference
1060-9857
ISBN
Citations 
PageRank 
978-1-7281-4223-4
2
0.38
References 
Authors
14
4
Name
Order
Citations
PageRank
Christian Berger1103.30
Hans P. Reiser216926.19
João Sousa320213.33
Alysson Bessani493163.00