. This paper describes the time analysis of Chandra & Toueg's asynchronous consensus, an algorithm of major importance in the field of fault-tolerant distributed computing. Contrary to other consensus protocols assuming semi-synchronous or synchronous conditions, Chandra & Toueg's algorithm considers an asynchronous system, thus requiring no bounds on communication delays nor on processes' speeds. Introducing an adversary model to describe the system's load, our analysis leads to the evaluation of an upper bound on the execution time of Chandra & Toueg's protocol. We compare our results concerning the asynchronous consensus with the results of former works dealing with semi-synchronous agreement algorit...
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed...
The semi-synchronous model is an important middle ground between the synchronous and the asynchronou...
In this paper, we offer simple and intuitive proofs to two lower bound results in distributed comput...
Consensus is one of the key problems in fault-tolerant distributed computing. Although the solvabili...
Consensus is one of the key problems in fault-tolerant distributed computing. Although the solvabili...
Protocols which solve agreement problems are essential building blocks for fault tolerant distribute...
It is well known that the consensus problem can be solved in a distributed system if, after some tim...
This paper presents an application of Hierarchical Coloured Timed Petri Nets to the modelling and th...
Abstract. This paper establishes the first theorem relating resilience, time complexity and authenti...
It has long been known that the consensus problem can-not be solved deterministically in completely ...
We study two fundamental problems of distributed computing, consensus and approximate agreement, thr...
International audienceReaching consensus is fundamental in distributed computing. For each execution...
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed...
Abstract The famous Fischer, Lynch, and Paterson impossibility proof showsthat it is impossible to s...
Abstract: In this paper, we offer new proofs to two lower bound results in distributed computing: a ...
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed...
The semi-synchronous model is an important middle ground between the synchronous and the asynchronou...
In this paper, we offer simple and intuitive proofs to two lower bound results in distributed comput...
Consensus is one of the key problems in fault-tolerant distributed computing. Although the solvabili...
Consensus is one of the key problems in fault-tolerant distributed computing. Although the solvabili...
Protocols which solve agreement problems are essential building blocks for fault tolerant distribute...
It is well known that the consensus problem can be solved in a distributed system if, after some tim...
This paper presents an application of Hierarchical Coloured Timed Petri Nets to the modelling and th...
Abstract. This paper establishes the first theorem relating resilience, time complexity and authenti...
It has long been known that the consensus problem can-not be solved deterministically in completely ...
We study two fundamental problems of distributed computing, consensus and approximate agreement, thr...
International audienceReaching consensus is fundamental in distributed computing. For each execution...
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed...
Abstract The famous Fischer, Lynch, and Paterson impossibility proof showsthat it is impossible to s...
Abstract: In this paper, we offer new proofs to two lower bound results in distributed computing: a ...
Protocols that solve agreement problems are essential building blocks for fault tolerant distributed...
The semi-synchronous model is an important middle ground between the synchronous and the asynchronou...
In this paper, we offer simple and intuitive proofs to two lower bound results in distributed comput...