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Intelligent Offset Time Algorithm for Optical Burst Switching Networks

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Recent Trends in Data Science and Soft Computing (IRICT 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 843))

Abstract

Optical Burst Switching (OBS) is an optical network that is efficient and reliable. However, there are some critical issues in OBS such as burst loss ratio, which occur due to contending bursts as optical buffers are lacked at the core node. Many techniques have been proposed to tackle the problem such as using offset time. Offset time is managed to allow Burst Header Packet (BHP) to reserve the required resources necessary for a successful transmission process. If the added extra time is long, it reserves the resources for a long time. In contrast, setting low offset time results in burst loss. As a consequence, the techniques that manages offset time need to be developed. This paper proposes an Intelligent Offset Time (IOT) algorithm that adapts offset time based on the condition of the network and the traffic. Three parameters are used as IOT’s fuzzy input that are burst size, destination and burst queuing delay. The proposed algorithm is evaluated against the conventional offset time and adaptive offset time algorithms. The results of IOT’s simulation show that it has effectively reduced burst loss ratio and end-to-end delay in comparison with the conventional and adaptive algorithms.

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Author information

Authors and Affiliations

  1. Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia

    Abdulsalam A. Yayah & Abdul Samad Ismail

  2. School of Engineering and Computing, University of the West of Scotland, Paisley, UK

    Tawfik Al-Hadhrami

  3. Institut Universitaire de Formation Professionelle (IUFP), Université de Ségou, Ségou, Mali

    Yahaya Coulibaly

Authors
  1. Abdulsalam A. Yayah
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  2. Abdul Samad Ismail
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  3. Tawfik Al-Hadhrami
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  4. Yahaya Coulibaly
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Corresponding authors

Correspondence to Abdulsalam A. Yayah or Tawfik Al-Hadhrami .

Editor information

Editors and Affiliations

  1. College of Computer Science and Engineering, Taibah University, Medina, Saudi Arabia

    Faisal Saeed

  2. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Nadhmi Gazem

  3. Information Technology Department, Faculty of Engineering and Information Technology, Taiz University, Taiz, Yemen

    Fathey Mohammed

  4. Information Systems Department, Faculty of Computing, Universiti Teknologi Malaysia, Skudai, Malaysia

    Abdelsalam Busalim

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Yayah, A.A., Ismail, A.S., Al-Hadhrami, T., Coulibaly, Y. (2019). Intelligent Offset Time Algorithm for Optical Burst Switching Networks. In: Saeed, F., Gazem, N., Mohammed, F., Busalim, A. (eds) Recent Trends in Data Science and Soft Computing. IRICT 2018. Advances in Intelligent Systems and Computing, vol 843. Springer, Cham. https://doi.org/10.1007/978-3-319-99007-1_41

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