Volume 45 Issue 2
Feb.  2019
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YUAN Long, XIONG Qingxu, XIAO Hanet al. Packet scheduling algorithm for integrated unicast and multicast traffic based on reducing HoL blocking[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 405-412. doi: 10.13700/j.bh.1001-5965.2018.0297(in Chinese)
Citation: YUAN Long, XIONG Qingxu, XIAO Hanet al. Packet scheduling algorithm for integrated unicast and multicast traffic based on reducing HoL blocking[J]. Journal of Beijing University of Aeronautics and Astronautics, 2019, 45(2): 405-412. doi: 10.13700/j.bh.1001-5965.2018.0297(in Chinese)

Packet scheduling algorithm for integrated unicast and multicast traffic based on reducing HoL blocking

doi: 10.13700/j.bh.1001-5965.2018.0297
Funds:

National Natural Science Foundation of China 61271196

More Information
  • Corresponding author: XIONG Qingxu, E-mail: qxxiong@buaa.edu.cn
  • Received Date: 23 May 2018
  • Accepted Date: 10 Aug 2018
  • Publish Date: 20 Feb 2019
  • In view of the problem that few researches have been done on the mixed scheduling of unicast and multicast traffic for the combined input and crossbar queued (CICQ) architecture, and there is no research on the head of line (HoL) blocking problem, a new scheduling algorithm for mixed multicast and unicast, i.e. unicast with low HoL blocking (MULHB) algorithm, is proposed, which aims to reduce HoL blocking so that the switch can operate in work-conserving state as much as possible. In addition, to avoid the phenomenon of "starvation", the proposed algorithm considers the difference between unicast traffic and multicast traffic and uses weights to complete the arbitration between unicast and multicast. At the same time, this paper also proposes a dynamic multicast cell assignment algorithm named dynamic muticast queuing (DMQ), which allows the arrival multicast cell to select the appropriate queue without disorder. Simulation results show that the performance in terms of through rate and average packet delay obtained by DMQ-MULHB is much better than that of the existing popular algorithms under the different traffic patterns, and especially under the non-uniform traffic pattern, the performance is close to the output queuing (OQ) scheduling.

     

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