We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Consensus among asynchronous distributed processes in the presence of a particular class of failure detectors (✸S or, equivalently, Ω), under the hypothesis that only a minority of processes may crash. The model is defined as a global transition system that is unambigously generated by local transition rules. The model is syntax-free in that it does not refer to any form of programming language or pseudo code. We use our model to formally prove that the algorithm is correct.
This paper presents a formal verification of two consensus protocols for distributed systems present...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Cons...
We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Cons...
This paper presents a deterministic algorithm that solves consensus in asynchronous distributed syst...
Abstract. We determine what information about failures is necessary and sufficient to solve Consensu...
We determine what information about failures is necessary and sufficient to solve Consensus in async...
This paper is on the Consensus problem, in the context of asyn-chronous distributed systems made of ...
Abstract. It is now recognized that the Consensus problem is a fun-damental problem when one has to ...
The distributed consensus problem arises when several processes need to reach a common decision desp...
We give a process calculus model that formalizes a well-known algorithm (introduced by Chandra and T...
In the crash-recovery failure model of asynchronous distributed systems, processes can temporarily s...
International audienceWhile consensus is at the heart of many coordination problems in asynchronous ...
The FLP result shows that crash-tolerant consensus is impossible to solve in asynchronous systems, a...
This paper presents a formal verification of two consensus protocols for distributed systems present...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Cons...
We provide a novel model to formalize a well-known algorithm, by Chandra and Toueg, that solves Cons...
This paper presents a deterministic algorithm that solves consensus in asynchronous distributed syst...
Abstract. We determine what information about failures is necessary and sufficient to solve Consensu...
We determine what information about failures is necessary and sufficient to solve Consensus in async...
This paper is on the Consensus problem, in the context of asyn-chronous distributed systems made of ...
Abstract. It is now recognized that the Consensus problem is a fun-damental problem when one has to ...
The distributed consensus problem arises when several processes need to reach a common decision desp...
We give a process calculus model that formalizes a well-known algorithm (introduced by Chandra and T...
In the crash-recovery failure model of asynchronous distributed systems, processes can temporarily s...
International audienceWhile consensus is at the heart of many coordination problems in asynchronous ...
The FLP result shows that crash-tolerant consensus is impossible to solve in asynchronous systems, a...
This paper presents a formal verification of two consensus protocols for distributed systems present...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...