Fuzzy-Based Adaptive Hybrid Burst Assembly Technique for Optical Burst Switched Networks

Joint Authors

Bin Abd Latiff, Muhammad Shafie
Muhammad Umaru, Abubakar
Coulibaly, Yahaya

Source

Journal of Computer Networks and Communications

Issue

Vol. 2014, Issue 2014 (31 Dec. 2014), pp.1-10, 10 p.

Publisher

Hindawi Publishing Corporation

Publication Date

2014-11-03

Country of Publication

Egypt

No. of Pages

10

Main Subjects

Information Technology and Computer Science

Abstract EN

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.

American Psychological Association (APA)

Muhammad Umaru, Abubakar& Bin Abd Latiff, Muhammad Shafie& Coulibaly, Yahaya. 2014. Fuzzy-Based Adaptive Hybrid Burst Assembly Technique for Optical Burst Switched Networks. Journal of Computer Networks and Communications،Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1040176

Modern Language Association (MLA)

Muhammad Umaru, Abubakar…[et al.]. Fuzzy-Based Adaptive Hybrid Burst Assembly Technique for Optical Burst Switched Networks. Journal of Computer Networks and Communications No. 2014 (2014), pp.1-10.
https://search.emarefa.net/detail/BIM-1040176

American Medical Association (AMA)

Muhammad Umaru, Abubakar& Bin Abd Latiff, Muhammad Shafie& Coulibaly, Yahaya. Fuzzy-Based Adaptive Hybrid Burst Assembly Technique for Optical Burst Switched Networks. Journal of Computer Networks and Communications. 2014. Vol. 2014, no. 2014, pp.1-10.
https://search.emarefa.net/detail/BIM-1040176

Data Type

Journal Articles

Language

English

Notes

Includes bibliographical references

Record ID

BIM-1040176