hal-00683827, version 2
CCN Interest Forwarding Strategy as Multi-Armed Bandit Model with Delays
N° RR-7917 (2012)
Résumé : We consider Content Centric Network (CCN) interest forwarding problem as a Multi-Armed Bandit (MAB) problem with delays. We investigate the transient behaviour of the $\eps$-greedy, tuned $\eps$-greedy and Upper Confidence Bound (UCB) interest forwarding policies. Surprisingly, for all the three policies very short initial exploratory phase is needed. We demonstrate that the tuned $\eps$-greedy algorithm is nearly as good as the UCB algorithm, the best currently available algorithm. We prove the uniform logarithmic bound for the tuned $\eps$-greedy algorithm. In addition to its immediate application to CCN interest forwarding, the new theoretical results for MAB problem with delays represent significant theoretical advances in machine learning discipline.
- a – BCAM -- Basque Center for Applied Mathematics
- 1 :
- INRIA – Université Montpellier II - Sciences et techniques
- 2 :
- Basque Center for Applied Mathematics
- Domaine : Informatique/Réseaux et télécommunications
- Mots-clés : Information Centric Networks – Content Centric Networks – Interest Forwarding – Multi-Armed Model with Delays
- Référence interne : RR-7917
- Versions disponibles : v1 (31-03-2012) v2 (02-04-2012)
- hal-00683827, version 2
- http://hal.inria.fr/hal-00683827
- oai:hal.inria.fr:hal-00683827
- Contributeur :
- Soumis le : Dimanche 1 Avril 2012, 23:08:42
- Dernière modification le : Lundi 2 Avril 2012, 16:25:54






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