Abstract

The optical burst switching (OBS) paradigm is perceived as an intermediate switching technology for future all-optical networks. Burst assembly that is the first process in OBS is the focus of this paper. In this paper, an intelligent hybrid burst assembly algorithm that is based on fuzzy logic is proposed. The new algorithm is evaluated against the traditional hybrid burst assembly algorithm and the fuzzy adaptive threshold (FAT) burst assembly algorithm via simulation. Simulation results show that the proposed algorithm outperforms the hybrid and the FAT algorithms in terms of burst end-to-end delay, packet end-to-end delay, and packet loss ratio.

Highlights

  • Optical burst switching (OBS) [1] is envisioned as the intermediate next-generation optical switching paradigm that is capable of providing huge bandwidth

  • Taking into account the benefits of fuzzy logic as discussed in [16,17,18], this paper proposes and evaluates a fuzzybased adaptive hybrid burst assembly (FAHBA) algorithm that aims to reduce the average end-to-end delay experienced by burst and packet in an OBS network

  • The burst assembly process is modelled as a fuzzy logic control process

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Summary

Introduction

Optical burst switching (OBS) [1] is envisioned as the intermediate next-generation optical switching paradigm that is capable of providing huge bandwidth. The edge node is responsible for burst assembly/disassembly, offset-time computation, signalling, and routing and wavelength assignment, while scheduling and contention resolution are performed at the core node [4]. OBS requires optical switching devices with high response rate in order to utilize the huge bandwidth provided by the optical fiber. Avoidance techniques are used at the edge nodes to prevent contention while resolution techniques are applied at the core nodes to resolve contention when it occurs Resolution techniques such as wavelength converters and fiber delay lines require additional hardware. Avoidance techniques utilize electronic memory at the edge in order to prevent contention from occurring at the network core nodes.

Review of Related Studies
Materials and Method
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