An introduction to distributed algorithms, in particular local algorithms. Essentially a practice talk of my SSS 2009 invited talk
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Topological self-stabilization is the ability of a distributed system to have its nodes themselves e...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
Fault tolerance is one of the main concepts in distributed computing. It has been tackled from diffe...
AbstractA new paradigm for the design of self-stabilizing distributed algorithms, called local detec...
Self-stabilizing algorithms are a way to deal with network dynamicity, as it will update itself afte...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
AbstractSelf-stabilizing protocols can resist transient failures and guarantee system recovery in a ...
In a distributed system error handling is inherently more difficult than in conven-tional systems th...
AbstractSelf-stabilization ensures automatic recovery from an arbitrary state; we define self-organi...
International audienceSelf-stabilizing protocols can resist transient failures and guarantee system ...
Our purpose in the present paper is to present a brief overview of the relatively new paradigm of se...
A local algorithm is a distributed algorithm that runs in constant time, independently of the size o...
Scientific Context. Modern networks are very large-scale (about 100 000 nodes). Now, the more a netw...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Topological self-stabilization is the ability of a distributed system to have its nodes themselves e...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
Fault tolerance is one of the main concepts in distributed computing. It has been tackled from diffe...
AbstractA new paradigm for the design of self-stabilizing distributed algorithms, called local detec...
Self-stabilizing algorithms are a way to deal with network dynamicity, as it will update itself afte...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
AbstractSelf-stabilizing protocols can resist transient failures and guarantee system recovery in a ...
In a distributed system error handling is inherently more difficult than in conven-tional systems th...
AbstractSelf-stabilization ensures automatic recovery from an arbitrary state; we define self-organi...
International audienceSelf-stabilizing protocols can resist transient failures and guarantee system ...
Our purpose in the present paper is to present a brief overview of the relatively new paradigm of se...
A local algorithm is a distributed algorithm that runs in constant time, independently of the size o...
Scientific Context. Modern networks are very large-scale (about 100 000 nodes). Now, the more a netw...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
In this article, we explore the topic of extending aggregate computation in distributed networks wit...
Topological self-stabilization is the ability of a distributed system to have its nodes themselves e...
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