International audienceWe consider the verification of algorithms expressed in the Heard-Of Model, a round-based computational model for fault-tolerant distributed computing. Rounds in this model are communication-closed, and we show that every execution recording individual events corresponds to a coarser-grained execution based on global rounds such that the local views of all processes are identical in the two executions. This result helps us to substantially mitigate state-space explosion and verify Consensus algorithms using standard model checking techniques
Consensus is at the heart of fault-tolerant distributed computing systems. Much research has been de...
International audienceDistributed algorithms are subtle and error-prone. Still, very few of them hav...
International audienceRandomized fault-tolerant distributed algorithms pose a number of challenges f...
International audienceWe consider the verification of algorithms expressed in the Heard-Of Model, a ...
Abstract. We consider the verification of algorithms expressed in the Heard-Of Model, a round-based ...
We consider the parameterized verification problem for distributed algorithms where the goal is to d...
Distributed computing is inherently based on replication, promising increased tolerance to failures ...
International audienceWe consider the parameterized verification problem for distributed algorithms ...
Distributed computing is inherently based on replication, promising in-creased tolerance to failures...
Fault-tolerant distributed algorithms play an important role in ensuring the reliability of many sof...
Abstract. Consensus is the paradigmatic problem in fault-tolerant dis-tributed computing: it require...
International audienceWe exhibit a methodology to develop mechanically-checkable parameterized proof...
The Heard-Of model is a simple and relatively expressive model of distributed computation. Because o...
Distributed algorithms are subtle and error-prone. Still, very few of them have been formally verifi...
International audienceConsensus is the paradigmatic problem in fault-tolerant distributed computing:...
Consensus is at the heart of fault-tolerant distributed computing systems. Much research has been de...
International audienceDistributed algorithms are subtle and error-prone. Still, very few of them hav...
International audienceRandomized fault-tolerant distributed algorithms pose a number of challenges f...
International audienceWe consider the verification of algorithms expressed in the Heard-Of Model, a ...
Abstract. We consider the verification of algorithms expressed in the Heard-Of Model, a round-based ...
We consider the parameterized verification problem for distributed algorithms where the goal is to d...
Distributed computing is inherently based on replication, promising increased tolerance to failures ...
International audienceWe consider the parameterized verification problem for distributed algorithms ...
Distributed computing is inherently based on replication, promising in-creased tolerance to failures...
Fault-tolerant distributed algorithms play an important role in ensuring the reliability of many sof...
Abstract. Consensus is the paradigmatic problem in fault-tolerant dis-tributed computing: it require...
International audienceWe exhibit a methodology to develop mechanically-checkable parameterized proof...
The Heard-Of model is a simple and relatively expressive model of distributed computation. Because o...
Distributed algorithms are subtle and error-prone. Still, very few of them have been formally verifi...
International audienceConsensus is the paradigmatic problem in fault-tolerant distributed computing:...
Consensus is at the heart of fault-tolerant distributed computing systems. Much research has been de...
International audienceDistributed algorithms are subtle and error-prone. Still, very few of them hav...
International audienceRandomized fault-tolerant distributed algorithms pose a number of challenges f...