Graph relabelling systems have been introduced as a suitable model for expressing and studying distributed algorithms on a network of communicating processors. We recall the basic ideas underlying that model and we survey the main questions that have been considered and the main results that have been obtained in that framework
International audienceA unified and general scheme for detecting the termination of distributed comp...
We use the framework of relabeling algorithms over evolving graphs by Casteigts, Chaumette and Ferre...
Graph signal processing is a framework to handle graph structured data. The fundamental concept is g...
. Graph relabelling systems have been introduced as a suitable model for expressing and studying dis...
AbstractGraph traversals are in the basis of many distributed algorithms. In this paper, we use grap...
In this paper, we present a uniform approach to simulate and visualize distributed algorithms encode...
AbstractIn this paper, we present a uniform approach to simulate and visualize distributed algorithm...
AbstractGraph traversals are in the basis of many distributed algorithms. In this paper, we use grap...
AbstractWe present a general method and a toolkit for designing, implementing and visualizing distri...
Distributed algorithms executed over dynamic graphs are difficult to study due to the limited knowle...
AbstractWe present a general method and a toolkit for designing, implementing and visualizing distri...
. In this paper we describe an approach to model the dynamics of distributed systems. For distribute...
This paper is a contribution to the study of the general problem of characterizing those properties ...
International audienceWe examine the power and limitations of the weakest vertex relabelling system ...
We describe an approach to modeling the dynamics of distributed systems. By distributed systems we m...
International audienceA unified and general scheme for detecting the termination of distributed comp...
We use the framework of relabeling algorithms over evolving graphs by Casteigts, Chaumette and Ferre...
Graph signal processing is a framework to handle graph structured data. The fundamental concept is g...
. Graph relabelling systems have been introduced as a suitable model for expressing and studying dis...
AbstractGraph traversals are in the basis of many distributed algorithms. In this paper, we use grap...
In this paper, we present a uniform approach to simulate and visualize distributed algorithms encode...
AbstractIn this paper, we present a uniform approach to simulate and visualize distributed algorithm...
AbstractGraph traversals are in the basis of many distributed algorithms. In this paper, we use grap...
AbstractWe present a general method and a toolkit for designing, implementing and visualizing distri...
Distributed algorithms executed over dynamic graphs are difficult to study due to the limited knowle...
AbstractWe present a general method and a toolkit for designing, implementing and visualizing distri...
. In this paper we describe an approach to model the dynamics of distributed systems. For distribute...
This paper is a contribution to the study of the general problem of characterizing those properties ...
International audienceWe examine the power and limitations of the weakest vertex relabelling system ...
We describe an approach to modeling the dynamics of distributed systems. By distributed systems we m...
International audienceA unified and general scheme for detecting the termination of distributed comp...
We use the framework of relabeling algorithms over evolving graphs by Casteigts, Chaumette and Ferre...
Graph signal processing is a framework to handle graph structured data. The fundamental concept is g...