Holding time aware dynamic bandwidth allocation algorithm for emerging bandwidth on demand multicast applications

  • Authors:
  • Ali Munir;Savera Tanwir;S. M. Hasan Zaidi

  • Affiliations:
  • School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan;School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan;School of Electrical Engineering and Computer Science, National University of Science and Technology, Islamabad, Pakistan

  • Venue:
  • HONET'09 Proceedings of the 6th international conference on High capacity optical networks and enabling technologies
  • Year:
  • 2009

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Abstract

Several switching architectures like circuit switching, packet switching and burst switching have been proposed and developed for efficient utilization of high speed optical networks. Among these Dynamic Optical Circuit Switching (DOCS) has been found to be more useful for provisioning requests in backbone (core) networks due to its capability to provide huge bandwidth by establishing high capacity light-paths. Now-a-days applications like video distribution of social events, live coverage of sports, e-learning and HDTV have gained popularity, in these applications normally there are multiple users requesting a particular service simultaneously. To make efficient use of optical networks under these conditions various algorithms exist in literature. In this paper we have proposed an algorithm for provisioning of multicast (point to multipoint (P2MP)) requests which utilizes the connection duration/holding time information of the request for traffic grooming. We have done so by integrating our wavelength selection strategy with existing routing approach known as Delay constrained Shortest Path (DCSP) algorithm. Besides using traditional grooming approaches we have used the concept of using multiple wavelengths for meeting the needs of the required bandwidth demands. Results show that this policy can significantly improve the network performance in terms of call and bandwidth blocking ratios. We have provided simulation results for both On-Demand and Advance reservation request of network resources.