Efficient management of congestion problem in High speed wired networks is a challenging issue due to higher bandwidth, large queuing delay, high burstiness and heterogeneous traffic flows. In this paper a hybrid router based mechanism New-Fair-Queuing-CoDel (nfqCoDel) has been proposed by incorporating the functionality of both, a packet scheduler and active queue manager in a single module called ‘Fair Active Queue Manager (FAQM)’. nfqCoDel actively manage the router queue length with an objective to control the excessive delay experienced by source host and maintain the weighted fairness among different hosts. Thus nfqCoDel is able to solve the buffer-bloat issue while providing weighted fairness among different sources. Simulation results, implemented in NS-2, prove that ‘nfqCoDel’ performs better than other AQMs by providing maximum and stable throughput, stable average queue length, controlled delay at router buffer and weighted fairness among competing traffic sources.

High Speed Networks, Congestion Control, Fair Queuing Approach, Active Queue Management, Buffer-Bloat

[1] J. Gettys, K. Nichols, “Bufferbloat: dark buffers in the internet”. Communications of the ACM, Vol.55 (1), pp: 57-65, 2012.
[2] H. To, T M Thi, W Hwang, “Cascade Probability Control to Mitigate Bufferbloat under Multiple Real-World TCP Stacks” in Special Issue of Control Problem of Nonlinear Systems with Applications, Mathematical Problems in Engineering, vol.2015, 2015.
[3] S. Floyd, V. Jacobson, “Random early detection gateways for congestion avoidance”. IEEE/ACM Transactions on Networking, Vol.1 (4), pp: 397–413, 1993.
[4] V. P. Rao, Mohit P. Tahiliani, Udaya Kumar K. Shenoy, “Analysis of sfqCoDel for Active Queue Management”, Applications of Digital Information and Web Technologies (ICADIWT), 2014.
[5] K. Nichols, V. Jacobson, “Controlling queue delay”. Communications of the ACM, Vol.55 (7), pp: 42-50, 2012.
[6] T. Hoeiland-Joergensen et al., “The Flow Queue CoDel Packet Scheduler and Active Queue Management Algorithm” RFC 8290, January 2018.
[7] Ns-2 Network Simulator. (n. d.). Retrieved from: 〈http://www.isi.edu/nsnam/ns/〉.
[8] D. Leith, R. Shorten, “H-TCP: TCP for high-speed and long distance networks”. In: Proceedings of the PFLDnet, 2004.
[9] K. Tan, J. Song, “Compound TCP: a scalable and TCP-friendly congestion control for high-speed networks”. In Proc. 4th International Workshop on Protocols for FAST Long-Distance Networks, 2006.
[10] I. Rhee, L. Xu, “CUBIC: a new TCP-friendly high-speed TCP variant”. SIGOPS Operating System Review, Vol.42 (5), pp: 64–74, 2008.
[11] L. Xue et al., “Afcd: An approximated-fair and controlled-delay queuing for high speed networks”. In proceeding of 22nd International Conference on Computer Communications and Networks (ICCCN), pp: 1-7. IEEE, 2013.
[12] C. Vijith C and M. Azath, “Survey on CHOKe AQM Family”, International Journal of Computer Science International Journal of Computer Sciences and Engineering, Volume-2, Issue-11, pp- 81-85, 2014.
[13] R. Pan et al., “PIE: a lightweight control scheme to address the bufferbloat problem”, in Proc.of the IEEE International Conference on High Performance Switching and Routing (HPSR), Jul. 2013.
[14] M. H. MacGregor, W. Shi, “Deficits for Bursty Latency critical Flows: DRR++”, Proc. IEEE ICON ‘00, Singapore, pp: 287-293, 2000.
[15] G. Hong, J. Martin, J. M. Westall, “On fairness and application performance of active queue management in broadband cable networks”. Computer Network. 91, 390–406, 2015.
[16] R. Al-Saadi, G. Armitage, “Dummynet AQM v0.2 – CoDel, FQ-CoDel, PIE and FQ-PIE for FreeBSD’s ipfw/dummynet framework,” Centre for Advanced Internet Architectures, Swinburne University of Technology, Melbourne, Australia, Tech. Rep. 160418A, 18 April 2016.
[17] N. S. Ko, M. H. Kim, H. S. Park, “FD-AQM: Fairness-Aware Delay-Controlled Active Queue Management in 802.11s-Based Multi-Radio Multi-Channel Wireless Mesh Networks”, IEEE Communications Letters, Vol. 19, No. 5, pp: 839-842, 2015.
[18] X. Jiang, G. Jin, “CFD: an efficient active queue management algorithm with CFD”, Electronics Letters IET, Vol. 52, Issue. 24, pp: 2015-2017, 2016.
[19] M. Menth, S. Veith, “Active Queue Management Based on Congestion Policing (CP-AQM)”. In Proceeding of International Conference on Measurement, Modelling and Evaluation of Computing Systems. LNCS, Vol. 10740, pp: 173-187, 2018.
[20] G. Armitage, R. Collom, “Benefits of FlowQueue-based Active Queue Management for Interactive Online Games”, In Proceeding of 26th International Conference on Computer Communications and Networks (ICCCN 2017), Vancouver, BC, Canada, 2017.
[21] J. Ye, K. C. Leung and V. O. K. Li, S. H. Low,”Combating Bufferbloat in Multi-Bottleneck Networks: Equilibrium, Stability, and Algorithms”, Centre for Advanced Internet Architectures, Swinburne University of Technology, Melbourne, Australia, Tech. Rep. 2018-001, 2018.
[22] V. Ganesh Babu and K.Saraswathi, “Packet Mark Methodology for Reduce the Congestion”, International Journal of Scientific Research in Computer Science and Engineering, Vol. 1, pp: 39-42, 2013.
[23] G.P. Sunitha , B.P. Vijay Kumar , S.M. Dilip Kumar, “A Nature Inspired Optimal Path Finding Algorithm to Mitigate Congestion in WSNs”, International Journal of Scientific Research in Network Security and Communication, Volume-6, Issue-3, June 2018.
[24] V. Kushwaha , R. Gupta, “Congestion control for high-speed wired network: a systematic literature review“. Journal of Network and Computer Applications, Vol.45, pp: 62–78, 2014.
[25] S. Ryu, C. Rump, C. Qiao, “Advances in active queue management (AQM) based TCP congestion control”. Telecommunication Systems, Vol. 25(3–4), pp: 317–351, 2004.
[26] S. Ramabhadran,J. Pasquale, “The Stratified Round Robin Scheduler: Design, Analysis, and Implementation”, IEEE/ACM Transactions on Networking, Vol. 14(6), pp: 1362-1373, 2006.