Bhatnagar, Shalabh ; Patel, Sanjeev ; Karmeshu, . (2018) A stochastic approximation approach to active queue management Telecommunication Systems, 68 (1). pp. 89-104. ISSN 1018-4864
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Official URL: http://doi.org/10.1007/s11235-017-0377-1
Related URL: http://dx.doi.org/10.1007/s11235-017-0377-1
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.
| Item Type: | Article |
|---|---|
| Source: | Copyright of this article belongs to Springer Nature. |
| Keywords: | Active Queue Management (AQM); Stochastic Approximation; Dropping Probability; Heavy Traffic Conditions; Stochastic Simulation; Traffic Control. |
| ID Code: | 116460 |
| Deposited On: | 12 Apr 2021 05:57 |
| Last Modified: | 12 Apr 2021 05:57 |
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