The Cost of Monotonicity in Distributed Graph Searching
ILCINKAS, David
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
NISSE, Nicolas
Algorithms, simulation, combinatorics and optimization for telecommunications [MASCOTTE]
Algorithms, simulation, combinatorics and optimization for telecommunications [MASCOTTE]
ILCINKAS, David
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
Laboratoire Bordelais de Recherche en Informatique [LaBRI]
Algorithmics for computationally intensive applications over wide scale distributed platforms [CEPAGE]
NISSE, Nicolas
Algorithms, simulation, combinatorics and optimization for telecommunications [MASCOTTE]
< Réduire
Algorithms, simulation, combinatorics and optimization for telecommunications [MASCOTTE]
Langue
en
Article de revue
Ce document a été publié dans
Distributed Computing. 2009, vol. 22, n° 2, p. 117-127
Springer Verlag
Résumé en anglais
Blin et al. (TCS 2008) proposed a distributed protocol enabling the smallest possible number of searchers to clear any unknown graph in a decentralized manner. However, the strategy that is actually performed lacks of an ...Lire la suite >
Blin et al. (TCS 2008) proposed a distributed protocol enabling the smallest possible number of searchers to clear any unknown graph in a decentralized manner. However, the strategy that is actually performed lacks of an important property, namely the monotonicity. This paper deals with the smallest number of searchers that are necessary and sufficient to monotonously clear any unknown graph in a decentralized manner. The clearing of the graph is required to be connected, i.e., the clear part of the graph must remain permanently connected, and monotone, i.e., the clear part of the graph only grows. We prove that a distributed protocol clearing any unknown $n$-node graph in a monotone connected way, in a decentralized setting, can achieve but cannot beat competitive ratio of $\Theta(\frac{n}{\log n})$, compared with the centralized minimum number of searchers. Moreover, our lower bound holds even in a synchronous setting, while our constructive upper bound holds even in an asynchronous setting.< Réduire
Mots clés en anglais
Graph searching
Mobile agent
Monotonicity
Competitive ratio
Project ANR
Algorithm Design and Analysis for Implicitly and Incompletely Defined Interaction Networks - ANR-07-BLAN-0322
Origine
Importé de halUnités de recherche