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Asia-Pacific Conference on Simulated Evolution and Learning

SEAL 2006: Simulated Evolution and Learning pp 790–797Cite as

An Immune Clonal Selection Scheduling Algorithm for Input-Queued Switches

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Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 4247))

Abstract

Immune Clonal Selection Algorithm (ICSA) is a new intelligent algorithm that can effectively overcome the prematurity and has fast conver-gence speed. An Immune Clonal Selection Scheduling Algorithm (ICSSA) is proposed by applying ICSA to the input-queued packet switch scheduling in this paper. ICSSA is compared with other previous algorithms about two performance measures: the average delay and the maximum throughput of the switch. Closed-form expressions for these measures are derived under uniform i.i.d. Bernoulli, diagonal and bursty traffic model. The experimental results show that better performances can be obtained by ICSSA, and 100% throughput can be guaranteed for these traffic models.

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Author information

Authors and Affiliations

  1. School of Computer Science and Engineering, Xidian University, Xi’ an, 710071, China

    Liu Fang & Zhao Jing

Authors
  1. Liu Fang
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  2. Zhao Jing
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Editor information

Editors and Affiliations

  1. Department of Industrial Engineering and Management, Cheng Shiu University, Kaohsiung County Taiwan, ROC

    Tzai-Der Wang

  2. School of Computer Science and information Technology, RMIT University, VIC 3001, Melbourne, Australia

    Xiaodong Li

  3. AI-ECON Research Center, Department of Economics, National Chengchi University, 11623, Taipei, Taiwan

    Shu-Heng Chen

  4. Department of Computer Science and Technology, University of Sci. & Tech. of China, 230026, Hefei, Anhui, P.R. China

    Xufa Wang

  5. School of Information Technology and Electrical Engineering, University of New South Wales, Australian Defence Force Academy, Canberra, Australia

    Hussein Abbass

  6. The Univertity of Tokyo, Japan

    Hitoshi Iba

  7. Department of Computer, University of Science and Technology of China, 230027, Hefei, China

    Guo-Liang Chen

  8. University of Birmingham, Birmingham, UK

    Xin Yao

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© 2006 Springer-Verlag Berlin Heidelberg

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Cite this paper

Fang, L., Jing, Z. (2006). An Immune Clonal Selection Scheduling Algorithm for Input-Queued Switches. In: Wang, TD., et al. Simulated Evolution and Learning. SEAL 2006. Lecture Notes in Computer Science, vol 4247. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11903697_99

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  • DOI: https://doi.org/10.1007/11903697_99

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-47331-2

  • Online ISBN: 978-3-540-47332-9

  • eBook Packages: Computer ScienceComputer Science (R0)

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