IMPROVED CONGESTION CONTROL FOR PACKET SWITCHED NETWORKS
Keywords:
Traffic Congestion, Networks and OOADMAbstract
This study on Improved Congestion Control for Packet Switched Networks is motivated by inefficient utilization of resources, ultimately leading to network collapse. Suffice it to say that congestion has raised a lot of dust in packet switched network. Congestion shows lack of balance between various networking equipment. It is also a global issue. Congestion is seen as a state of being over crowded, overloaded or blocked that is too full of traffic. Congestion control refers to the mechanisms and techniques to control the congestion and will reduce below the capacity. The aim therefore is to design a software that will reduce network congestion within a packet switched network environment. This work disuses the various congestion issues and challenges with emphasis on packet switched network and develops a software that will reduce network congestion within a packet switched network environment. It addresses the problem of burst traffic, transmission delay and insufficient memory to store arriving packets. And the software was developed using Java programming language. The instruments for data collection are interviews, focus group discussions, observational methods and document analysis, focus group discussions, observational methods and document analysis.
References
Chandra, E., and Subraman B. (2010). A survey on congestion control. Glob J. Comput. Sci. Technol. 9(5):82-7 (Version 2.0).
Floyd, S., Handley, M., Padhye, J. and Widmer, J. (2000). TFRC, Equation-based Congestion Control for Unicast Applications: Simulation Scripts and Experimental Code, URL http://www.aciri.org/tfrc/
http://dx.doi.org/10.1109/ICCCT.2013.6749616
Kloth, R.J. (2008). Methods and apparatus for network congestion control. Cisco Technology Inc. 1,3.
Kushwaha, V. and Gupta r., (2013). An analysis of performance parameters for congestion control in high speed network. In: Proceedings of the fourth International Conference on Computer and Communication Technology, Allahabad, India; p. 133-138.
Mawhinney, T.N. and Davis, J.D. (2004). Network Congestion Control System and Method. Paradyne Corporation. 2-9
Rejaie, R., Handley, M. and Estrin, D. (1999). RAP: An End-to-End Rate-based Congestion Control Mechanism for Real –time Streams in the Internet. IEEE. ISBN: 0743-166X. 1337-1339.
Sabato, M. (2014). “Decentralized Queue Balancing and Differentiated Service Scheme Based on Cooperative Control Concept” IEEE TRANSACTIONS, VOL. 10, N0. 1.
Sapna, G., Nitin, K,S and Yadav, K.P. (2012). “A Survey on Congestion Control and Avoidance”, Vol. 2 (9), 790-797
Sharadchandra, C., Qureshi, R., Fulzele, P., Meshram, C. and Jidkuntalawar, P. (2017). Congestion Controlling using Network Border Protocol. International Journal of Modern Trends in Engineering and Research 4(1); 114-116.
Yang, Cui-Qing and Reddy, A.V.S. (1995). A taxonomy for congestion control algorithms in packet switching networks, IEEE Network: Volume 9. Issue 4 doi>10.1109/65.397042.
Yang, P. Luo, W., Xu, L. Deogun, J.S., and Lu, Y. (2011). TCP Congestion Avoidance Algorithm Identification. University of Lebraska 310-311.
Yueping, Z., Seong-Ryong, K. and Dmitri, L. (2007). Delay-independent stability and performance of distributed congestion control, IEE/ACM transactions on Networking, volume 15 Issue 4, doi> 10.1109/TNET.2007.896169.
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