We take a signi cant step toward unifying the synchronous, semi-synchronous, and asynchronous message-passing models of distributed computation. The key idea is the concept of a pseudosphere, anew combinatorial structure in which each process from a set of processes is independently assigned a value from a set of values. Pseudospheres have anumber of nice combinatorial properties, but their principal interest lies in the observation that the behavior of protocols in the three models can be characterized as simple unions of pseudospheres, where the exact structure of these unions is determined by the timing properties of the model. We use this pseudosphere construction to derive new and remarkably succinct proofs of bounds on consensus and k...
AbstractWe present a unified, axiomatic approach to proving lower bounds for the k-set agreement pro...
AbstractThe k-set-agreement problem consists for a set of n processes to agree on less than k among ...
This dissertation is in two parts, covering two distinct areas of distributed computing. The first p...
There is no wait-free algorithm that solves k-set agreement among n ? k+1 processes in asynchronous ...
In a distributed application, high-availability of a critical online service is ensured despite fail...
We study two fundamental problems of distributed computing, consensus and approximate agreement, thr...
We prove tight bounds on the time needed to solve k-set agreement. In this problem, each processor s...
International audienceSet agreement is a fundamental problem in distributed com- puting in which pro...
Abstract. Set agreement is a fundamental problem in distributed com-puting in which processes collec...
In the traditional consensus task, processes are required to agree on a common value chosen among th...
The semi-synchronous model is an important middle ground between the synchronous and the asynchronou...
We present a unified, axiomatic approach to proving lower bounds for the k-set agreement problem in ...
Abstract. Set agreement is a fundamental problem in distributed computing in which pro-cesses collec...
We prove tight bounds on the time needed to solve k-set agreement. In this problem, each processor s...
AbstractThe theory of distributed computing shares a deep and fascinating connection with combinator...
AbstractWe present a unified, axiomatic approach to proving lower bounds for the k-set agreement pro...
AbstractThe k-set-agreement problem consists for a set of n processes to agree on less than k among ...
This dissertation is in two parts, covering two distinct areas of distributed computing. The first p...
There is no wait-free algorithm that solves k-set agreement among n ? k+1 processes in asynchronous ...
In a distributed application, high-availability of a critical online service is ensured despite fail...
We study two fundamental problems of distributed computing, consensus and approximate agreement, thr...
We prove tight bounds on the time needed to solve k-set agreement. In this problem, each processor s...
International audienceSet agreement is a fundamental problem in distributed com- puting in which pro...
Abstract. Set agreement is a fundamental problem in distributed com-puting in which processes collec...
In the traditional consensus task, processes are required to agree on a common value chosen among th...
The semi-synchronous model is an important middle ground between the synchronous and the asynchronou...
We present a unified, axiomatic approach to proving lower bounds for the k-set agreement problem in ...
Abstract. Set agreement is a fundamental problem in distributed computing in which pro-cesses collec...
We prove tight bounds on the time needed to solve k-set agreement. In this problem, each processor s...
AbstractThe theory of distributed computing shares a deep and fascinating connection with combinator...
AbstractWe present a unified, axiomatic approach to proving lower bounds for the k-set agreement pro...
AbstractThe k-set-agreement problem consists for a set of n processes to agree on less than k among ...
This dissertation is in two parts, covering two distinct areas of distributed computing. The first p...