AbstractA new paradigm for the design of self-stabilizing distributed algorithms, called local detection, is introduced. The essence of the paradigm is in defining a local condition based on the state of a processor and its immediate neighborhood such that the system is in a globally legal state if and only if the local condition is satisfied at all the nodes. In this work we also extend the model of self-stabilizing networks traditionally assuming memory failure to include the model of dynamic networks (assuming edge failures and recoveries). We apply the paradigm to the extended model which we call “dynamic self-stabilizing networks”. Without loss of generality, we present the results in the least restrictive shared memory model of read/w...
Self-stabilization is a theoretical framework of non-masking fault-tolerance for distributed network...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
The notion of self-stabilization was introduced by Dijkstra. He defined a system as self-stabilizing...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
AbstractSelf-stabilizing protocols can resist transient failures and guarantee system recovery in a ...
AbstractSelf-stabilization ensures automatic recovery from an arbitrary state; we define self-organi...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
We propose a general framework to build certified proofs of distributed self-stabilizing algorithms ...
Self-stabilizing algorithms are a way to deal with network dynamicity, as it will update itself afte...
In systems made up of processors and links connecting the processors, the global state of the system...
We describe a method for transforming asynchronous network protocols into protocols that can sustain...
A distributed system consists of a set of machines which do not share a global memory. Depending on ...
Topological self-stabilization is the ability of a distributed system to have its nodes themselves e...
Self-stabilizing protocols enable distributed systems to recover correct behavior starting from any ...
AbstractWe propose a simple self-stabilizing distributed algorithm that maintains an arbitrary spann...
Self-stabilization is a theoretical framework of non-masking fault-tolerance for distributed network...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
The notion of self-stabilization was introduced by Dijkstra. He defined a system as self-stabilizing...
An introduction to distributed algorithms, in particular local algorithms. Essentially a practice ta...
AbstractSelf-stabilizing protocols can resist transient failures and guarantee system recovery in a ...
AbstractSelf-stabilization ensures automatic recovery from an arbitrary state; we define self-organi...
International audienceThis book aims at being a comprehensive and pedagogical introduction to the co...
We propose a general framework to build certified proofs of distributed self-stabilizing algorithms ...
Self-stabilizing algorithms are a way to deal with network dynamicity, as it will update itself afte...
In systems made up of processors and links connecting the processors, the global state of the system...
We describe a method for transforming asynchronous network protocols into protocols that can sustain...
A distributed system consists of a set of machines which do not share a global memory. Depending on ...
Topological self-stabilization is the ability of a distributed system to have its nodes themselves e...
Self-stabilizing protocols enable distributed systems to recover correct behavior starting from any ...
AbstractWe propose a simple self-stabilizing distributed algorithm that maintains an arbitrary spann...
Self-stabilization is a theoretical framework of non-masking fault-tolerance for distributed network...
istics increase the number of faults which may hit the system. For instance, in WSNs, processes are ...
The notion of self-stabilization was introduced by Dijkstra. He defined a system as self-stabilizing...