Self-learning route selection scheme using multipath searching packets in an OBS network

Research output: Contribution to journalArticle

17 Citations (Scopus)

Abstract

In an optical burst switching (OBS) network, some contention resolution schemes at a core router have been proposed. However, in terms of the optical device technology, it is difficult to implement the contention resolution schemes such as optical buffers at a core router. In this paper, we propose the scheme that reduces the probability of burst contention by controlling the route at an edge router without resolving burst contention at a core router. Each edge router learns a suitable route to the destination edge router autonomously by using newly employed feedback packets and search packets. Due to the self-learning at each edge router, the traffic load is distributed in an OBS network. Therefore, our proposed scheme can reduce the probability of burst contention. According to computer simulations, under nonuniform traffic, our proposed scheme can reduce approximately one decade smaller burst loss probability compared with the conventional shortest path routing method.

Original languageEnglish
Pages (from-to)432-445
Number of pages14
JournalJournal of Optical Networking
Volume4
Issue number7
DOIs
Publication statusPublished - 2005

Fingerprint

Optical burst switching
Switching networks
Routers
learning
bursts
routes
traffic
Optical devices
buffers
computerized simulation
Feedback
Computer simulation

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Atomic and Molecular Physics, and Optics

Cite this

Self-learning route selection scheme using multipath searching packets in an OBS network. / Ishii, Daisuke; Yamanaka, Naoaki; Sasase, Iwao.

In: Journal of Optical Networking, Vol. 4, No. 7, 2005, p. 432-445.

Research output: Contribution to journalArticle

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