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Volume 38 Issue 6
Jun.  2016
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LIU Kai, YAN Jian, GAO Xiaolin, LU Jianhua. Fully Distributed Fault Tolerant Scheduling for Onboard Clos-network Switching[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1377-1384. doi: 10.11999/JEIT150944
Citation: LIU Kai, YAN Jian, GAO Xiaolin, LU Jianhua. Fully Distributed Fault Tolerant Scheduling for Onboard Clos-network Switching[J]. Journal of Electronics & Information Technology, 2016, 38(6): 1377-1384. doi: 10.11999/JEIT150944

Fully Distributed Fault Tolerant Scheduling for Onboard Clos-network Switching

doi: 10.11999/JEIT150944
Funds:

The National Natural Science Foundation of China (91338108, 91438206), China Electronics Technology Group School-Enterprise Cooperation Foundation (Key Technology of Space Internet)

  • Received Date: 2015-08-19
  • Rev Recd Date: 2016-01-20
  • Publish Date: 2016-06-19
  • For an onboard switching, serious decline in the reliability is induced by the harsh space radiation environment. In this paper, a 3-stage Clos-network supporting fully distributed scheduling and a Fully Distributed Fault Tolerant (FDFT) scheduling algorithm are proposed to improve fault-tolerant ability of an onboard switching. Combined input and output queued architecture is employed in the central and output stages of the proposed Clos-network to support fully distributed scheduling in both the network and switching elements. In FDFT, a distributed fault detection algorithm is employed to obtain the crosspoint fault information. Based on the analysis of the influence of the faults, a fault-tolerant cell dispatching algorithm is proposed in the input stage which achieves load-balancing to fault-free paths. Theoretical analysis demonstrates that 100% throughput is achieved when no more than(m-n) crosspoint faults occur in any input/output module or in all central modules, where m and n are the number of inputs and outputs of input module, respectively. Furthermore, simulation results indicate that, in the case of faults occurring randomly, FDFT tolerates much more faults, and exhibits a good performance in terms of throughput and average cell delay under different traffic scenarios.
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