An adaptive dynamic load balancing for large scale distributed and virtual simulations

  • Authors:
  • Azzedine Boukerche;Ming Zhang;Hengheng Xie

  • Affiliations:
  • Paradise Research Laboratory, SITE, University of Ottawa, Canada;Paradise Research Laboratory, SITE, University of Ottawa, Canada;Paradise Research Laboratory, SITE, University of Ottawa, Canada

  • Venue:
  • VECIMS'09 Proceedings of the 2009 IEEE international conference on Virtual Environments, Human-Computer Interfaces and Measurement Systems
  • Year:
  • 2009

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Abstract

Load balancing techniques have been widely used in many existing distributed system and simulation frameworks. With the rapid development of virtual simulation technologies, many researchers have been investigating on how to apply virtual simulations to the distributed environment, especially when the virtual simulations need to be expanded to large-scale. In this paper, we propose an adaptive load-balancing algorithm in a P2P based distributed virtual simulation environment. Our algorithm focuses on an efficient run-time load-balancing to adapt to the variation of users' requests in the system. Compared to traditional load-balancing algorithms in virtual simulation, our approach takes a full consideration of heterogeneity of a largescale service oriented distributed system.