Effects of Dynamic Scheduling of Internet Traffics on Multimedia Application Performance | ||||
Menoufia Journal of Electronic Engineering Research | ||||
Article 15, Volume 26, Issue 2, July 2017, Page 551-570 | ||||
Document Type: Original Article | ||||
DOI: 10.21608/mjeer.2017.63635 | ||||
View on SCiNiTO | ||||
Authors | ||||
Hanaa Mohammed1; Gamal Attiya2; Samy El-Dolil2 | ||||
1Dept. of Electronics & Electrical Communications Engineering, Faculty of Engineering, Tanta University, Egypt. | ||||
2Faculty of Electronic Engineering, Menoufia University, Egypt | ||||
Abstract | ||||
Over the last few years computer networks have experienced an explosive growth, causing congestion collapse problem, where no data transfers through the network, the throughput drops to zero, the response time tends to infinity, and as a result causing performance degradation. Congestion is handled at the end systems using end-to-end congestion control protocols, and at the network routers using network-assistant congestion control strategies, active queue management techniques (AQM) for example. Differ from data applications which built on top of transmission control protocol (TCP), most real-time traffics, have been built on top of unreliable connectionless user datagram protocol (UDP), such as voice-over-IP or streaming video over the Internet, since real-time applications can accept loss more than delay and jitter. Buffer control techniques are used to manage the queue size, and to enforce approximate fairness among a large number of different internet flows by queue management and scheduling disciplines. In this paper a new class-based dynamic scheduling technique is proposed. With this proposed technique, quality of service (QoS) requirements can be provided for multimedia video and audio traffic as same as that for the best-effort TCP-based data traffic applications. Using the network simulator NS-2 the proposal is compared with the most well-known scheduling approaches. | ||||
References | ||||
[1] Mostfa M. Kaytan, "TCP Versus UDP Performance in Term of Bandwidth Usage" A thesis submitted to the Faculty of Information Technology in-webkit-text-stroke-width: 0px; "> <partial fulfillment of the requirement for the degree Master of Science (Information Technology) Universiti Utara Malaysia Copyright © Mostfa M. Kaytan, 2010. [2] Soo-Hyun Choi, Congestion Control for Real-time Interactive Multimedia Streams, Department of Computer Science University College London September 30, 2010. [3] B.J. Hwang, I.S. Hwang, and P.M.Chang, "QoS-Aware Active QueueManagement for Multimedia Services over the Internet", Hindawi Publishing Corporation EURASIP Journal on Wireless Communications and Networking Vol. 2011, Article ID 589863, 12 pages doi:10.1155/2011/589863 Research Article. [4] S. Floyd and V. Jacobson, “Random Early Detection Gateways for Congestion Avoidance,” IEEE/ACM Trans. Networking, Vol. 1, No. 4, Aug. 1993, pp. 397 – 413. [5] Md. Shohidul Islam, and et al, “An Experimental Analysis of Random Early Discard (RED) Queue for Congestion Control”, International Journal of Computer Applications (0975 – 8887) Volume 15, No.2, February 2011. [6] M. Abu Obaida, Md. Sanaullah Miah, Md. Abu Horaira, “Random Early Discard (RED-AQM) Performance Analysis in Terms of TCP Variants and Network Parameters: Instability in High-Bandwidth-Delay Network”, International Journal of Computer Applications (0975 – 8887), Vol. 27, No. 8, pp. 40-44, August 2011. [7] G. Wang, Y. Xia, D. Harrison, An NS2 TCP Evaluation Tool: Installation Guide and Tutorial (V0.2). November 24, 2008. [8] The Network Simulator - ns-2: http://www.isi.edu/nsnam/ns/. [9] M. Baklizi, and et al, “Performance Assessment of AGRED, RED, and GRED congestion control algorithms”, Information Technology Journal 11 (2): 255-261,2012. [10] D. Kalav, and S. Gupta, “Congestion Control in Communication Network Using RED, SFQ and REM Algorithm”, International Refereed Journal of Engineering and Science, Vol. 1, Issue 2, pp.41-45, October 2012. ISSN (Online) 2319-183X, (Print) 2319-1821. [11] Luciano Lenzini, Enzo Mingozzi and Giovanni Stea, “Performance Analysis of Modified Deficit Round Robin schedulers,” Journal of High Speed Networks Vol. 16, Issue 4, pp 399-422, October 2007. [12] R. Adams, Member, IEEE, Active Queue Management: A Survey, IEEE Communications Surveys & Tutorials, Vol. 15, No. 3, Third Quarter 2013. [13] G. Patil, S. McClean and G. Raina, “Drop Tail and RED Queue Management with Small Buffers: Stability and HOPF bifurcation”, ICTACT Journal on communication technology: special issue on next generation wireless networks and applications, Vol. 2, Issue 2, June 2011. | ||||
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