This paper investigates the problem of resilient vector consensus for a group of dynamic
agents against mobile malicious attacks. As real networks often operate under random …

Causal ordering in an asynchronous setting is a fundamental paradigm for collaborative
software systems. Previous work in the area concentrates on ordering messages in a …

Causal ordering of messages in distributed systems is important for capturing application-
level semantics. To the best of our knowledge, Byzantine fault-tolerant causal ordering has …

Byzantine fault-tolerant causal ordering of messages in asynchronous systems is useful to
many applications. Although the problem has been studied for broadcast communication, it …

Detecting causality or the happens before relation between events in an asynchronous
distributed system is a fundamental building block for distributed applications. To the best of …

Causal ordering is an important building block for distributed software systems. It was
recently proved that it is impossible to provide causal ordering–liveness and strong safety …

In this paper, we examine the inherent properties of the Byzantine Reliable Broadcast (BRB)
primitive as pertain to the ability to provide causal ordering. We prove the following results …

Causal consistency is a widely used weak consistency model and there are plenty of
research prototypes and industrial deployments of causally consistent distributed systems …

Reliable broadcast and consensus are the two pillars that support a lot of non-trivial fault-
tolerant distributed middleware and fault-tolerant distributed systems. While they have close …

Causal ordering is widely used in distributed systems to maintain validity and correctness of
data across concurrent updates. Previous work has shown that it is impossible to solve the …