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A PBIL for Load Balancing in Network Coding Based Multicasting

  • Huanlai XingEmail author
  • Ying Xu
  • Rong Qu
  • Lexi Xu
Conference paper
  • 1.2k Downloads
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9787)

Abstract

One of the most important issues in multicast is how to achieve a balanced traffic load within a communications network. This paper formulates a load balancing optimization problem in the context of multicast with network coding and proposes a modified population based incremental learning (PBIL) algorithm for tackling it. A novel probability vector update scheme is developed to enhance the global exploration of the stochastic search by introducing extra flexibility when guiding the search towards promising areas in the search space. Experimental results demonstrate that the proposed PBIL outperforms a number of the state-of-the-art evolutionary algorithms in terms of the quality of the best solution obtained.

Keywords

Load balancing Multicast Network coding Population based incremental learning 

Notes

Acknowledgements

This research was supported in part by NSFC (No.61401374), the Fundamental Research Funds for the Central Universities (No. 2682014RC23), the Project-sponsored by SRF for ROCS, SEM, P. R. China and University of Nottingham, UK.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.School of Information Science and TechnologySouthwest Jiaotong UniversityChengduPeople’s Republic of China
  2. 2.College of Computer Science and Electronic EngineeringHunan UniversityChangshaPeople’s Republic of China
  3. 3.School of Computer ScienceUniversity of NottinghamNottinghamUK
  4. 4.Department of Network Optimisation and ManagementChina Unicom Network Technology Research InstituteBeijingPeople’s Republic of China

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