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Today, mobile networks are faced with congestion which results in regular slowness given the variation in the actual speed of the network, that is to say the time required to transmit all of the data from a point to another. In third and fourth generation mobile networks, actual throughput is not directly measurable, it actually consists of three separate indicators, latency, jitter and loss rate. Many studies have shown that these parameters have a particular influence on congestion problems. In practice, the effective speed on the network is inversely proportional to the latency. However, the bit rate is four times the latency. Next, jitter is the variation of latency over time, impacting the flow by influencing latency. In this article, we have examined the analysis of traffic congestion in third and fourth generation networks in order to make a comparative study of the congestion rate for good decision-making.
A. E. Avrachenkov K, Barakat C. A Stochastic model of TCP/IP with Stationary Random Losses, Proceedings of ACM SIGCCOMM; 2000.
RFC 6275 C. Perkins, Tellabs and D. Johnson, Mobility Support in IPv6; 2011.
Fiadino P, et al. On the detection of network traffic anomalies in content delivery network services. In ITC 26; 2014.
Deep Singh K, Hadjadj-Aoul Y, Rubino G, Quality of experience estimation for adaptive Http/Tcp video streaming using H.264/Avc, Ccnc IEEE Consumer Communications & Networking Conference Hal- 00713723, Version 1; 2012.
Al-Fares M, Loukissas A, Vahdat A. A scalable, commodity data center network architecture, "SIGCOMM Comput Commun. Rev. 2008;38(4):63-74.
Ameigeiras P, Ramos-Munoz JJ, Navarro-Ortiz J, Lopez-Soler J. Analysis and modelling of youtube traffic, "Transactions on Emerging Telecommunications Technologies. 2012;23(4):360-377.
Mushtaq B, Augustin A, Mellouk. Crowd-sourcing framework to assess QoE," dans IEEE ICC 2014 - Communications Software, Services and Multimedia Applications Symposium; 2014.
Douga Y, Bourenane M, Mellouk Adaptive video streaming using tcp factors control with user parameters, proceeding of elsevier fnc'14, the 9th international conference on Future Networks and Communication, volume 34, pages 526-531, Niagara Falls, Canada; 2014.
Kim HJ, Yun DG, Kim H-S, Cho KS, Choi SG. Qoe assessment model for video streaming service using qos parameters in wired-wireless network. In Advanced Communication Technology (ICACT), 14th International Conference. 2012; 459-464.
AnbuKaruppusamy S, Batri K. Improving the performance of TCP in Ad hoc networks based on signal strength and buffering system, Journal of Applied Sciences Research. 2012;8(5): 2554-2563.
SAT-PERF Project, Analysis of solutions for mobile and efficient transport layer in the context of terrestrial/satellite hybrid networks.
Ben-Hamouda MZ. Conception, et optimisation robuste des réseaux de télécommunications. PHD thesis, Université Paul Sabatier, Toulouse, France, Rapport LAAS No 10462 25 Juin 2010.
Briscoe BJ, Sridharan M. Network performance isolation in data centers using congestion policing," Internet Engineering Task Force, Internet-Draft draft-briscoe-conex-data-centre-02, work in Progress; 2014.
Dai W, Jordan S. Design and impact of data caps," in 2013 IEEE Global Communications Conference (GLOBECOM). 2013;1650-1656.
Feknous M, Houdoin T, Le Guyader B, De Biasio J, Gravey A, Torrijos Gijon J. Internet traffic analysis: A case study from two major European operators," in computers and Communications (ISCC), 2014 IEEE Symposium on. 2014;1-7.
Zhang Y, Ansari N. Fair quantized congestion notification in data center networks, IEEE transactions on Communications. 2013;61(11):4690-4699.