Predictive Unicast and Multicast Scheduling in Onboard Buffered Crossbar Switches

In this letter, a predictive unicast and multicast scheduling (PUMS) scheme is proposed for onboard buffered crossbar switches to cope with time-variant traffic composition. The multicast service ratios required with respect to traffic composition ratio are deduced in theory to guarantee stability and fairness. In the proposed scheme, the multicast service ratios are obtained by a real-time traffic prediction in advance. Accordingly, the bandwidth and crosspoint buffers are adaptively assigned. Simulation results indicate that the proposed PUMS exhibits a promising performance under various traffic scenarios with both fixed and time-variant traffic composition ratios.

[1]  Martin E. Fraeman,et al.  Harsh environments : space radiation environment, effects, and mitigation , 2008 .

[2]  Tarik Taleb,et al.  Challenges, opportunities, and solutions for converged satellite and terrestrial networks , 2011, IEEE Wireless Communications.

[3]  Hongchao Hu,et al.  Integrated uni- and multicast traffic scheduling in buffered crossbar switches , 2008, 2008 Third International Conference on Communications and Networking in China.

[4]  Lotfi Mhamdi On the Integration of Unicast and Multicast Cell Scheduling in Buffered Crossbar Switches , 2009, IEEE Transactions on Parallel and Distributed Systems.

[5]  Min Song,et al.  Integration of unicast and multicast scheduling in input-queued packet switches , 2006, Comput. Networks.

[6]  Jun Li,et al.  Multicast Support in Input Queued Switches with Low Matching Overhead , 2012, IEEE Communications Letters.

[7]  Kyungmin Kim,et al.  Topology-aware fanout set division scheme for QoS-guaranteed multicast transmission , 2013, Journal of Communications and Networks.

[8]  Deng Pan,et al.  Flow Based Performance Guarantee Scheduling in Buffered Crossbar Switches , 2012, IEEE Transactions on Communications.

[9]  J. Li,et al.  Integration of unicast and multicast scheduling in a two-stage switch architecture with low scheduling overhead , 2012, IET Commun..

[10]  Stefano Giordano,et al.  On traffic prediction for resource allocation: A Chebyshev bound based allocation scheme , 2008, Comput. Commun..