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A stochastic approximation approach to active queue management

Author

Listed:
  • Shalabh Bhatnagar

    (Indian Institute of Science)

  • Sanjeev Patel

    (Jawaharlal Nehru University)

  • Karmeshu

    (Jawaharlal Nehru University)

Abstract

Recently, a dynamic adaptive queue management with random dropping (AQMRD) scheme has been developed to capture the time-dependent variation of average queue size by incorporating the rate of change of average queue size as a parameter. A major issue with AQMRD is the choice of parameters. In this paper, a novel online stochastic approximation based optimization scheme is proposed to dynamically tune the parameters of AQMRD and which is also applicable for other active queue management (AQM) algorithms. Our optimization scheme significantly improves the throughput, average queue size, and loss-rate in relation to other AQM schemes.

Suggested Citation

  • Shalabh Bhatnagar & Sanjeev Patel & Karmeshu, 2018. "A stochastic approximation approach to active queue management," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 68(1), pages 89-104, May.
    • Handle: RePEc:spr:telsys:v:68:y:2018:i:1:d:10.1007_s11235-017-0377-1
    DOI: 10.1007/s11235-017-0377-1
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    References listed on IDEAS

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    1. Eser Gemikonakli & Enver Ever & Glenford Mapp & Orhan Gemikonakli, 2017. "Admission control and buffer management of wireless communication systems with mobile stations and integrated voice and data services," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(4), pages 663-675, August.
    2. Khaled Salah & Said El Kafhali, 2017. "Performance modeling and analysis of hypoexponential network servers," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(4), pages 717-728, August.
    3. Karmeshu & Sanjeev Patel & Shalabh Bhatnagar, 2017. "Adaptive mean queue size and its rate of change: queue management with random dropping," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 65(2), pages 281-295, June.
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    Citations

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    Cited by:

    1. Ghasem Kahe & Amir Hossein Jahangir, 2019. "A self-tuning controller for queuing delay regulation in TCP/AQM networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 215-229, June.
    2. Wladimir Gonçalves Morais & Carlos Eduardo Maffini Santos & Carlos Marcelo Pedroso, 2022. "Application of active queue management for real-time adaptive video streaming," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 79(2), pages 261-270, February.
    3. Nathan Preuss & Lin Guo & Janet K. Allen & Farrokh Mistree, 2022. "Improving Patient Flow in a Primary Care Clinic," SN Operations Research Forum, Springer, vol. 3(3), pages 1-22, September.

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    1. Ghasem Kahe & Amir Hossein Jahangir, 2019. "A self-tuning controller for queuing delay regulation in TCP/AQM networks," Telecommunication Systems: Modelling, Analysis, Design and Management, Springer, vol. 71(2), pages 215-229, June.

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