Fault tolerance is one of the main concepts in distributed computing. It has been tackled from different angles, e.g. by building replicated systems that can survive crash failures of individual components, or even systems that can tolerate a minority of arbitrarily malicious (“Byzantine”) participants
International audienceWe propose a new metric for effectively and accurately evaluating the performa...
We present a new approach to fault tolerance for High Performance Computing system. Our approach is ...
With the proliferation of parallel and distributed systems, it is an increasingly important problem ...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
Our purpose in the present paper is to present a brief overview of the relatively new paradigm of se...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
Scientific Context. Modern networks are very large-scale (about 100 000 nodes). Now, the more a netw...
d behaviour by the system, but guarantee is given that correct system operation will eventually resu...
Self-stabilizing system is a concept of fault-tolerance in distributed computing. A distributed algo...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
A large branch of research in distributed computing deals with fault-tolerance. Being able to tolera...
This paper revisits the interconnection of self-stabilization and fault-tolerance. Self-stabilizing ...
Abstract Fault tolerance measures can be used to distinguish between different self-stabilizing solu...
Fault-tolerance in distributed computing systems has been investigated extensively in the literature...
International audienceThis book presents the most important fault-tolerant distributed programming a...
International audienceWe propose a new metric for effectively and accurately evaluating the performa...
We present a new approach to fault tolerance for High Performance Computing system. Our approach is ...
With the proliferation of parallel and distributed systems, it is an increasingly important problem ...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
Our purpose in the present paper is to present a brief overview of the relatively new paradigm of se...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
Scientific Context. Modern networks are very large-scale (about 100 000 nodes). Now, the more a netw...
d behaviour by the system, but guarantee is given that correct system operation will eventually resu...
Self-stabilizing system is a concept of fault-tolerance in distributed computing. A distributed algo...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
A large branch of research in distributed computing deals with fault-tolerance. Being able to tolera...
This paper revisits the interconnection of self-stabilization and fault-tolerance. Self-stabilizing ...
Abstract Fault tolerance measures can be used to distinguish between different self-stabilizing solu...
Fault-tolerance in distributed computing systems has been investigated extensively in the literature...
International audienceThis book presents the most important fault-tolerant distributed programming a...
International audienceWe propose a new metric for effectively and accurately evaluating the performa...
We present a new approach to fault tolerance for High Performance Computing system. Our approach is ...
With the proliferation of parallel and distributed systems, it is an increasingly important problem ...
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