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An Immune Clonal Selection Scheduling Algorithm for Input-Queued Switches

  • Liu Fang
  • Zhao Jing
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, 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.

Keywords

Schedule Algorithm Input Port Artificial Immune System Affinity Function Input Queue 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Liu Fang
    • 1
  • Zhao Jing
    • 1
  1. 1.School of Computer Science and EngineeringXidian UniversityXi’ anChina

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