Photonic Network Communications

, Volume 37, Issue 2, pp 253–260 | Cite as

RC performance analysis based on model optimization with the aid of network calculus

  • Hongchun WangEmail author
  • JiangQi Hu
  • WenSheng Niu
Original Paper


Time-Triggered Ethernet (TTE) Network is a communication network which combines the time-triggered traffic and event-triggered traffic. Based on network calculation, the adopted model in TTE considers the worst case which assumes a number of traffic simultaneously arrive at a node and each virtual link work is fully loaded. Such assumptions lead to the analysis of a certain RC data flow’s delay performance obsessing too much pessimism. In this paper, based on the partition scheduling model, we introduced the loss packet period of the time-triggered data flow \( p \) and the correction parameter of rate-constrained (RC) data flow \( \mu \) and then optimized the model of service curve and arrival curve of a certain RC data flow. The delay performance of RC data flow is analyzed under proposed optimized model. Simulation results verify that our optimized model relieves the pessimism on delay analysis. The smaller the \( p \) value is and the larger the \( \mu \) value is, the stricter delay bound can be obtained by our optimized model than by the traditional model. According to the optimized delay analysis model, the scheduling table can be better rearranged and the system resources can be used reasonably.


Time-Triggered Ethernet Model optimization Network calculation Delay performance analysis Virtual link 


  1. 1.
    Cruz, R.L.: A calculus for network delay. Part I—network elements in isolation and part II—network analysis. IEEE Trans. Inf. Theory 37(1), 114–141 (1991)MathSciNetCrossRefzbMATHGoogle Scholar
  2. 2.
    Le Boudec, J.-Y., Thiran, P.: Network Calculus: A Theory of Deterministic Queuing Systems for the Internet, vol. 2050. Springer, Berlin (2001)zbMATHGoogle Scholar
  3. 3.
    Ciucu, F.: Network calculus delay bounds in queueing networks with exact solutions. In: International Teletraffic Conference on Managing Traffic Performance in Converged Networks, pp. 495–506. Springer (2007)Google Scholar
  4. 4.
    Jiang, Y.: Network calculus and queueing theory: two sides of one coin. In: ICST Conference on Performance Evaluation Methodologies and Tools, pp. 37–48. ICST (2009)Google Scholar
  5. 5.
    Chang, C.-S.: Performance Guarantees in Communication Networks. Springer, Berlin (2012)zbMATHGoogle Scholar
  6. 6.
    Liu, C., et al.: Worst-case flow model of VL for worst-case delay analysis of AFDX. Electron. Lett. 48(6), 327–328 (2012)CrossRefGoogle Scholar
  7. 7.
    Li, X., Scharbarg, J.L., Fraboul, C.: Improving end-to-end delay upper bounds on an AFDX network by integrating offsets in worst-case analysis. In: 2010 IEEE 15th Conference on Emerging Technologies & Factory Automation (ETFA 2010)Google Scholar
  8. 8.
    Long, Y., Lu, Z., Shen, H.: Composable worst-case delay bound analysis using network calculus. IEEE Trans. Comput. Aided Des. Integr. Circuits Syst. 37(3), 705–709 (2018)CrossRefGoogle Scholar
  9. 9.
    Zhao, L., et al.: Improving worst-case latency analysis for rate-constrained traffic in the time-triggered ethernet network. IEEE Commun. Lett. 18(11), 1927–1930 (2014)CrossRefGoogle Scholar
  10. 10.
    Zhao, L., Li, Q., Lin, W., Xiong, H.: Stochastic network calculus for analysis of latency on TTEthernet network. Acta Aeronautica ET Astronautica Sinica 37(6), 1953–1962 (2016)Google Scholar
  11. 11.
    Zhou, X., He, F., Wang, T.: Using network calculus on worst-case latency analysis for TTEthernet in preemption transmission mode. In: 2016 10th International Conference on Signal Processing and Communication Systems (ICSPCS) (2016)Google Scholar
  12. 12.
    Chengcong, S., Shihai, W., Bin, L.: A model driven multi-constraint safety analysis method for integrated modular avionics systems on time domain. In: 2015 Prognostics and System Health Management Conference (PHM) (2015)Google Scholar
  13. 13.
    Liu, W.-C., Li, Q., He, F., Xiong, H.-G.: Research on time-triggered-ethernet synchronization and scheduling mechanism. Aeronaut. Comput. Tech. 41(4), 122–127 (2011)Google Scholar

Copyright information

© Springer Science+Business Media, LLC, part of Springer Nature 2019

Authors and Affiliations

  1. 1.School of Computer Science and TechnologyXi Dian UniversityXi’anChina
  2. 2.School of Communication EngineeringXi Dian UniversityXi’anChina
  3. 3.Institute of Flight ControlTianjin Institute for Advanced Equipments of Tsinghua UniversityTianjinChina
  4. 4.Aeronautical Computing Technique Research InstituteXi’anChina

Personalised recommendations