Evaluation of a Network Extraction Topology Algorithm for Reducing Search Space of a GA-based Routing Approach

  • Authors:

  • Makoto Ikeda;Leonard Barolli;Giuseppe De Marco;Arian Durresi;Akio Koyama;Mimoza Durresi

  • Affiliations:

  • Fukuoka Institute of Technology;Fukuoka Institute of Technology;Fukuoka Institute of Technology;Louisiana State University;Louisiana State University;Fukuoka Institute of Technology

  • Venue:
  • ICDCSW '06 Proceedings of the 26th IEEE International ConferenceWorkshops on Distributed Computing Systems
  • Year:
  • 2006

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Abstract

In order to support multimedia communication, it is necessary to develop routing algorithms which use for routing more than one QoS parameters. This is because new services such as video on demand and remote meeting systems require better QoS. Also, for admission control of multimedia applications different QoS parameters should be considered. In our previous work, we proposed an intelligent routing and CAC strategy using cooperative agents. The proposed routing algorithm is a combination of source and distributed routing. However, in the previous research, we only considered the time delay for the routing. Also, QoS and congestion control parameters were considered just as indicators of QoS satisfication and congestion. In this work, we extend our previous work by proposing and implementing new algorithms based on fuzzy logic and genetic algorithm which use for admission control and routing many QoS parameters. Also, we evaluate by simulations the performance of the network extraction topology algorithm which reduces the search space of the proposed GA-based routing approach. Thus, the GA can find a feasible route very fast.