Most Internet traffic is carried by the Transmission Control Protocol (TCP) nowadays, even in the case of real-time services. Detecting and mitigating the congestion is one of the primary tasks of this protocol, in fact, different TCP versions are defined by their congestion control algorithms. Furthermore, Active Queue Management (AQM) algorithms share the same goal of congestion mitigation with TCP; in particular, the most efficient congestion control occurs when AQM and TCP work together. This paper presents a brief survey and a cross-comparison of the latest and most important TCP and AQM variants, then provides an evaluation of a different kind of performance on the ns-3 network simulator over various types of environments (multiple Round Trip Time, long delay, different congestion levels, etc.). In any shared bottleneck, the choice of the TCP-AQM couple to adopt is crucial. We will show that the results are not univocal and the “one size fits all” solution does not exist. Moreover, the proper couple depends on the performance that we want to boost and on the environment that we have to deal with.
ChenYWangXCaiL.On achieving fair and throughput-optimal scheduling for TCP flows in wireless networks. IEEE Trans Wireless Commun2016; PP: 1–1.
2.
FloydSJacobsonV.Random early detection gateways for congestion avoidance. IEEE/ACM Trans Network1993; 1: 397–413.
3.
AfanasyevATilleyNReiherP, et al. Host-to-host congestion control for TCP. IEEE Commun Surv Tutor2010; 12: 304–342.
4.
HaSRheeIXuL.Cubic: a new TCP-friendly high-speed TCP variant. ACM SIGOPS Operat Syst Rev2008; 42: 64–74.
5.
FloydS. Limited slow-start for TCP with large congestion, windows, RFC Editor 2004; RFC 3742.
6.
CainiCFirrincieliR.TCP Hybla: a TCP enhancement for heterogeneous networks. Int J Satellite Commun Network2004; 22: 547–566.
7.
TanKSongJZhangQ, et al. A Compound TCP Approach for High-Speed and Long Distance Networks. In: Proceedings IEEE INFOCOM 2006. 25TH IEEE International Conference on Computer Communications, Barcelona, 2006, pp. 1–12.
8.
FloydSGurtovAHendersonT. The New Reno modification to TCP’s fast recovery algorithm. RFC Editor 2004; RFC 3782.
9.
HasegawaGKurataKMurataM.Analysis and improvement of fairness between TCP Reno and Vegas for deployment of TCP Vegas to the Internet. In: Proceedings 2000 International Conference on Network Protocols, Osaka, Japan, 2000, pp. 177–186.
10.
GriecoLAMascoloS.Performance evaluation and comparison of Westwood+, New Reno, and Vegas TCP congestion control. ACM SIGCOMM Comput Commun Rev2004; 34: 25–38.
11.
BaiocchiACastellaniAPVacircaF. YeAH-TCP: yet another highspeed tcp. In: proceedings of PFLDnet, ISI, pp.37–42.
12.
FloydSGummadiRShenkerS, et al. Adaptive red: an algorithm for increasing the robustness of reds active queue management. Epub ahead of print 2001. http://www.icir.org/floyd/papers.html.
Wu-chunFKapadiaAThulasidasanS.GREEN: proactive queue management over a best-effort network. In: Global Telecommunications Conference, 2002. GLOBECOM ‘02. IEEE, Taipei, Taiwan, 2002, pp. 1774–1778.
15.
PanRNatarajanPPiglioneC, et al. PIE: A lightweight control scheme to address the bufferbloat problem. In: 2013 IEEE 14th International Conference on High Performance Switching and Routing (HPSR), Taipei, 2013, pp. 148–155.
16.
GraziaCAKlapezMPatricielloN, et al. PINK: Proactive INjection into acK, a queue manager to impose fair resource allocation among TCP flows. In: 2015 IEEE 11th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), Abu Dhabi, 2015, pp. 132–137.
17.
GraziaCAPatricielloNKlapezM, et al. Enabling smart environments by avoiding TCP congestion through PINK: A no-drop AQM. In: 2016 IEEE 12th International Conference on Wireless and Mobile Computing, Networking and Communications (WiMob), New York, NY, 2016, pp. 1–7.
18.
CasoniMGraziaCKlapezM, et al. How to avoid tcp congestion without dropping packets: an effective aqm called pink. Comput Commun2017; 103: 49–60.
19.
LiTVan VorstNLiuJ.A rate-based tcp traffic model to accelerate network simulation. Simulation2013; 89: 466–480.
20.
CasoniMGraziaCAKlapezM, et al. Implementation and validation of TCP options and congestion control algorithms for ns-3. In: proceedings of the 2015 workshop on Ns-3 (WNS3 ’15), Barcelona, 13–14 May 2015, pp. 112–119. New York: ACM.
21.
ImputatoPAvalloneS.An analysis of the impact of network device buffers on packet schedulers through experiments and simulations. Simulat Model Pract Theor2018; 80: 1–18.
22.
CasoniMGraziaCAKlapezM, et al. Towards emergency networks security with per-flow queue rate management. In: 2015 IEEE International Conference on Pervasive Computing and Communication Workshops (PerCom Workshops), St. Louis, MO, 2015, pp. 493–498.
23.
CasoniMPatricielloN.Next-generation TCP for ns-3 simulator. Simulat Model Pract Theor2016; 66: 81–93.
SergiouCAntoniouPVassiliouV.A comprehensive survey of congestion control protocols in wireless sensor networks. IEEE Commun Surv Tutor2014; 16: 1839–1859.
26.
HabbalAMMHassanS.Contention avoidance mechanism for TCP in mobile ad hoc network. In: 2012 Global Information Infrastructure and Networking Symposium (GIIS), Choroni, 2012, pp. 1–4.
27.
SoelistijantoBHowarthMP.Transfer reliability and congestion control strategies in opportunistic networks: a survey. IEEE Commun Surv Tutor2014; 16: 538–555.
28.
HabbalAMMHassanS.Loss detection and recovery techniques for TCP in mobile Ad Hoc network. In: 2010 Second International Conference on Network Applications, Protocols and Services, Kedah, 2010, pp. 48–54.
29.
BarikRWelzlMFerlinS, et al. LISA: A linked slow-start algorithm for MPTCP. In: 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, 2016, pp. 1–7.
30.
FrommgenAErbshuerTBuchmannA, et al. ReMP TCP: Low latency multipath TCP. In: 2016 IEEE International Conference on Communications (ICC), Kuala Lumpur, 2016, pp. 1–7.
31.
BisoySKPattnaikPK.Analyzing the interaction between TCP variants and routing protocols in static multi-hop ad hoc network. New Delhi: Springer India, 2015, pp.717–724.
32.
SeferogluHModianoE.Tcp-aware backpressure routing and scheduling. IEEE Trans Mobile Comput2016; 15: 1783–1796.
33.
ArifSManyaHMQaziS.Analysis of impact of routing buffer size on TCP variants. In: 2013 3rd IEEE International Conference on Computer, Control and Communication (IC4), Karachi, 2013, pp. 1–6.
34.
RahmanHGiridharKRainaG.Performance analysis of Compound TCP with AQM. In: 2013 11th International Symposium and Workshops on Modeling and Optimization in Mobile, Ad Hoc and Wireless Networks (WiOpt), Tsukuba Science City, 2013, pp. 492–499.
35.
RainaGManjunathSPrasadS, et al. Stability and performance analysis of compound TCP with rem and drop-tail queue management. IEEE/ACM Trans Network2016; 24: 1961–1974.
36.
KhademiNRosDWelzlM.The new AQM kids on the block: an experimental evaluation of CoDel and PIE. In: 2014 IEEE Conference on Computer Communications Workshops (INFOCOM WKSHPS), Toronto, ON, 2014, pp. 85–90.
37.
SunJChanSKoKT, et al. Instability effects of two-way traffic in a TCP/AQM system. Comput Commun2007; 30: 2172–2179.
38.
SunJChanSZukermanM.IAPI: an intelligent adaptive {PI} active queue management scheme. Comput Commun2012; 35: 2281–2293.
39.
Hoiland-JorgensenTHurtigPBrunstromA. The good, the bad and the wifi: modern AQMs in a residential setting. Comput Network2015; 89: 90–106.
40.
Hiland-JrgensenTGraziaCAHurtigP, et al. Flent: the FLExible network tester. In: Proceedings of 11th EAI International Conference on Performance Evaluation Methodologies and Tools, Venice, Italy, December2017, 271973 (pp. 1–6). New York, NY: ACM Digital Library, DOI: 10.1145/3150928.3150957
41.
AnelliPDianaRLochinE.Favorqueue: a parameterless active queue management to improve tcp traffic performance. Comput Network2014; 60: 171–186.
42.
RosbergZMatthewsJZukermanM.A network rate management protocol with tcp congestion control and fairness for all. Comput Network2010; 54: 1358–1374.
43.
ChydzinskiABrachmanA.Performance of AQM routers in the presence of new TCP Variants. In: 2010 Second International Conference on Advances in Future Internet, Venice, 2010, pp. 88–93.
44.
YamaguchiFNishiH.Hardware-based hash functions for network applications. In: 2013 19th IEEE International Conference on Networks (ICON), Singapore, 2013, pp. 1–6.
45.
StancescuSLucaACaraivanA.TCP-AQM Algorithms which combat the computer networks’ congestion. In: 2014 22nd Telecommunications Forum Telfor (TELFOR), Belgrade, 2014, pp. 182–185.
46.
PrasadRSDovrolisCThottanM.Router buffer sizing for tcp traffic and the role of the output/input capacity ratio. IEEE/ACM Trans Network2009; 17: 1645–1658.
47.
ShinMChongSRheeI.Dual-resource tcp/aqm for processing-constrained networks. IEEE/ACM Trans Network2008; 16: 435–449.
