Leader-based consensus algorithms are fast and efficient under normal conditions, but lack
robustness to adverse conditions due to their reliance on timeouts for liveness. We present …

This paper presents a high-performance consensus protocol, Nezha, which can be
deployed by cloud tenants without any support from their cloud provider. Nezha bridges the …

Cloud services improve their availability by replicating data across sites in different
geographical regions. A variety of state-machine replication protocols have been proposed …

Consensus algorithms deployed in the crash fault tolerant setting chose a leader-based
architecture in order to achieve the lowest latency possible. However, when deployed in the …

Consensus protocols like Paxos and Raft provide data consistency and fault tolerance for
upper-layer distributed services. Log replication in these protocols can be supported by …

Distributed deterministic database systems achieve high transaction throughput for
geographically replicated data. Supporting transactions with ACID guarantees requires …

Leader-based consensus algorithms are vulnerable to liveness and performance
downgrade attacks. We explore the possibility of replacing leader election in Multi-Paxos …

State machine replication (SMR) uses consensus as its core component for reaching
agreement among a group of processes, in order to provide fault-tolerant services. Most …

Edge computing enables moving data closer to users to reduce latency and improve user
experience. Edge data centers are capable and reliable enough to support various data …

State Machine Replication (SMR) is a popular framework for building highly available fault-
tolerant systems, and widely uses distributed consensus as an implementation approach …