Abstract. We present a Consensus algorithm that combines randomization and unreliable failure detection, two well-known techniques for solving Consensus in asynchronous systems with crash failures. This hybrid algorithm combines advantages from both approaches: it guarantees deterministic termination if the failure detector is accurate, and probabilistic termination otherwise. In executions with no failures or failure detector mistakes, the most likely ones in practice, Consensus is reached in only two asynchronous rounds.
It is well-known that several fundamental problems of fault-tolerant distributed computing, such as...
The consensus problem is a fundamental paradigm for fault-tolerant distributed computing. It abstrac...
We study the problems of failure detection and consensus in asynchronous systems in which processes ...
Abstract. We present a Consensus algorithm that combines randomization and unreliable failure detect...
Abstract. We present a consensus algorithm that combines unreliable failure detection and randomizat...
We present a Consensus algorithm that combines randomization and unreliable failure detection, two w...
. We present a Consensus algorithm that combines randomization and unreliable failure detection, two...
Summary. The Consensus problem is a fundamental pa-radigm for fault-tolerant asynchronous systems. I...
Chandra and Toueg proposed a new approach to overcome the impossibility of reaching consensus in asy...
The FLP result shows that crash-tolerant consensus is impossible to solve in asynchronous systems, a...
This paper presents a deterministic algorithm that solves consensus in asynchronous distributed syst...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We determine what information about failures is necessary and sufficient to solve Consensus in async...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
Abstract. We determine what information about failures is necessary and sufficient to solve Consensu...
It is well-known that several fundamental problems of fault-tolerant distributed computing, such as...
The consensus problem is a fundamental paradigm for fault-tolerant distributed computing. It abstrac...
We study the problems of failure detection and consensus in asynchronous systems in which processes ...
Abstract. We present a Consensus algorithm that combines randomization and unreliable failure detect...
Abstract. We present a consensus algorithm that combines unreliable failure detection and randomizat...
We present a Consensus algorithm that combines randomization and unreliable failure detection, two w...
. We present a Consensus algorithm that combines randomization and unreliable failure detection, two...
Summary. The Consensus problem is a fundamental pa-radigm for fault-tolerant asynchronous systems. I...
Chandra and Toueg proposed a new approach to overcome the impossibility of reaching consensus in asy...
The FLP result shows that crash-tolerant consensus is impossible to solve in asynchronous systems, a...
This paper presents a deterministic algorithm that solves consensus in asynchronous distributed syst...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
We determine what information about failures is necessary and sufficient to solve Consensus in async...
We introduce the concept of unreliable failure detectors and study how they can be used to solve Con...
Abstract. We determine what information about failures is necessary and sufficient to solve Consensu...
It is well-known that several fundamental problems of fault-tolerant distributed computing, such as...
The consensus problem is a fundamental paradigm for fault-tolerant distributed computing. It abstrac...
We study the problems of failure detection and consensus in asynchronous systems in which processes ...