Séminaire d'équipe(s) Graphs, ALgorithms and Combinatorics

Self-stabilizing local k-placement of replicas with minimal variance.
Volker Turau

08 December 2014, 15:30 Salle/Bat : 445/PCRI-N
Contact :

Activités de recherche : Distributed algorithms

Résumé :

Large scale distributed systems require replication of resources to
amplify availability and to provide fault tolerance. The placement of
replicated resources significantly impacts performance. This paper
considers local k-placements: Each node of a network has to place k
replicas of a resource among its direct neighbors. The load of a node in
a given local k-placement is the number of replicas it stores. The local
k-placement problem is to achieve a preferably homogeneous distribution
of the loads. We present a novel self-stabilizing, distributed,
asynchronous, scalable algorithm for the k-placement problem such that
the standard deviation of the distribution of the loads assumes a local
minimum.