Application of hardware architecture of genetic algorithm for optimal packet scheduling

Rong Hou Wu, Yang Han Lee, Shiann Tsong Sheu, Hsien Wei Tseng, Ming Hsueh Chuang, Yung Kuang Wang

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

In Dense Wavelength Division Multiplexing (DWDM) technologies, the optimal packet scheduling is a common encounter issue in multiple channels network. NP-hard problem deals with finding a way to rearrange packets in multiple channels into a finite and rare channel. Genetic algorithm (GA) is one of the most efficient ways to solve this issue. We hope to find a better solution to our task through the GA characteristics of multiprocessor searching and survivor of the fittest. Therefore, a modified and achievable hardware architecture of GA is presented in this paper. This architecture can increase the schedule speed of packet scheduling also can promote the efficiency of DWDM in Optical Communication Networks.

Original languageEnglish
Title of host publicationProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
DOIs
StatePublished - 2006
Event9th Joint Conference on Information Sciences, JCIS 2006 - Taiwan, ROC, Taiwan
Duration: 8 Oct 200611 Oct 2006

Publication series

NameProceedings of the 9th Joint Conference on Information Sciences, JCIS 2006
Volume2006

Conference

Conference9th Joint Conference on Information Sciences, JCIS 2006
Country/TerritoryTaiwan
CityTaiwan, ROC
Period8/10/0611/10/06

Keywords

  • Dense wavelength division multiplexing
  • Genetic algorithm
  • Packet scheduling

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