A k-layer self-organizing structure for product management in stock-based networks

Aline Carneiro Viana 1 Nathalie Mitton 2 Loic Schmidt 2 Massimo Vecchio 1
1 ASAP - As Scalable As Possible: foundations of large scale dynamic distributed systems
UR1 - Université de Rennes 1, Inria Saclay - Ile de France, INSA - Institut National des Sciences Appliquées, CNRS - Centre National de la Recherche Scientifique : UMR
2 POPS - System and Networking for Portable Objects Proved to be Safe
LIFL - Laboratoire d'Informatique Fondamentale de Lille, Inria Lille - Nord Europe, IRCICA
Abstract : Traditional Distributed Hash Tables (DHT) abstraction distributes data items among peer nodes on a structured overlay network in storage-intensive applications. The question is whether DHT-based systems can provide reliable and scalable storage services also in stock-oriented applications, where logistics, traceability and fault-tolerance are the main requirements. In this paper a novel approach to self-organizing stock management networks, based on a two-level DHT mechanism is proposed and analyzed. Some preliminary results suggest that our method can reduce network traffic and achieve high data availability also in such storage and management networks.
Type de document :
Communication dans un congrès
Proc. 7th IEEE International Conference on e-Business Engineering (ICEBE), Nov 2010, Shanghai, China. 2010
Liste complète des métadonnées

https://hal.inria.fr/inria-00587849
Contributeur : Nathalie Mitton <>
Soumis le : jeudi 21 avril 2011 - 15:42:30
Dernière modification le : vendredi 26 octobre 2018 - 10:34:14
Document(s) archivé(s) le : vendredi 22 juillet 2011 - 02:30:07

Fichier

SENSATION.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

  • HAL Id : inria-00587849, version 1

Collections

Citation

Aline Carneiro Viana, Nathalie Mitton, Loic Schmidt, Massimo Vecchio. A k-layer self-organizing structure for product management in stock-based networks. Proc. 7th IEEE International Conference on e-Business Engineering (ICEBE), Nov 2010, Shanghai, China. 2010. 〈inria-00587849〉

Partager

Métriques

Consultations de la notice

504

Téléchargements de fichiers

190