Abstract
Internet is growing not only in the number of connected devices but also the diversity of the application layers. Therefore, the bottleneck problem in the router is a pressing issue in congestion control. So using the mechanisms of active queue management for congestion control at routers is playing an important role for the reliable and effective Internet network operation for users. Mechanism of active queue management SFB works well in the router, but not highly effective. Therefore, we propose to incorporate intelligent computation through fuzzy logic control system into the mechanism SFB which can operate more efficiently to improve service quality and network performance.
The original version of this chapter was revised: The copyright line was incorrect. This has been corrected. The Erratum to this chapter is available at DOI: 10.1007/978-3-319-05939-6_37
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References
Kapadia, A., Feng, W., Campbell, R.H.: GREEN: a TCP equation-based approach to active queue management. U.S Department of Energy through Los Alamos National Laboratory contract W-7045-ENG-36 (2011)
Dana, A., Malekloo, A.: Performance comparison between active and passive queue management. Int. J. Comput. Sci. Issues (IJCSI) 7(3) No 5, 13–17 (2010)
Bitorika, A., Robin, M., Huggard, M., Goldrick, M.: A Comparative Study of Active Queue Management Schemes. Department of Computer Science Trinity College, Dublin (2011)
Wydrowski, B.P.: Techniques in Internet Congestion Control. Electrical and Electronic Engineering Department, The University of Melbourne (2003)
Wydrowski, B., Zukerman, M.: GREEN: an active queue management algorithm for a self. ARC Special Research Centre for Ultra-Broadband Information Networks, EEE Department, The University of Melbourne, Parkville, Vic. 3010, Australia (2010)
Ali Ahammed, G.F., Banu, R.: Analyzing the performance of active queue management algorithms. Int. J. Comput. Netw. Commun. (IJCNC) 2(2), 1–19 (2010)
Thiruchelvi, G., Raja, J.: A survey on active queue management mechanisms. Int. J. Comput. Sci. Netw. Secur. (IJCSNS) 8(12), 130–145 (2008)
Hasegawa, G., Murata, M.: Analysis of dynamic behaviors of many TCP connections sharing tail-drop – RED. CybermediaCenter, Osaka University, Japan (2003)
Chandra, H., Agarwal, A., Velmurugan, T.: Analysis of active queue management algorithms & their implementation for TCP/IP networks using OPNET simulation tool. Int. J. Computer Appl. (0975 – 8887) 6(11), 12–15 (2010)
Tabash, I.K., Mamun, M.A.A., Negi, A.: A fuzzy logic based network congestion control using active queue management techniques. J. Sci. Res. 2(2), 273–284 (2010)
Chung, J., Claypool, M.: Analysis of active queue management. Computer Science Department Worcester Polytechnic Institute Worcester, MA 01609, USA (2008)
Chitra, K., Padamavathi, G.: Classification and performance of AQM-based schemes for congestion avoidance. Int. J. Comput. Sci. Inform. Secur. (IJCSIS) 8(1), 331–340 (2010)
Fall, K., Varadhan, K.: The ns Manual, A Collaboration between researchers at UC Berkeley, LBL, USC/ISI, and Xerox PARC (2010)
Le, L., Jeffay, K., Donelson Smith, F.: A loss and queuing-delay controller for router buffer management. In: Proceedings of the 26th IEEE International Conference on Distributed Computing Systems (ICDCS’06) (2006)
Le, L., Aikat, J., Jeffay, K., Donelson Smith, F.: The effects of active queue management and explicit congestion notification on web performance. IEEE/ACM Trans. Netw. 15(6), 1217–1230 (2007)
Kwon, M., Fahmy, S.: A comparison of load-based and queue-based active queue management algorithms. Department Of computer Science, Purdue University, West Lafayette, IN 47906-1398, USA (2010)
Soyturk, M., Design and Analysis of TCP/IP Networks. G.Y.T.E., Spring (2011)
Ns-2.: Network Simulator. http://www.isi.edu/nsnam/ns
Floyd, S., Jacobson, V.: Random early detection gateways for congestion avoidance. Lawrence Berkeley Laboratory, University of California (1993)
Athuraliya, S., Low, S.H., Li, V.H., Yin, Q.: REM active queue management. IEEE Netw. 15(3), 48–53 (2001)
Ahmad, S., Mustafa, A., Ahmad, B., Bano, A., Hosam, A.A.: Comparative study of congestion control techniques in high speed networks. IJCSIS 6(2), 222–231 (2009)
Bhaskar Reddy, T., Ahammed, A., Banu, R.: Performance comparison of active queue management techniques. IJCSNS Int. J. Comput. Sci. Netw. Secur. 9(2), 405–408 (2009)
Feng, W., Kandlurz, D.D., Sahaz, D., Shin, K.G.: BLUE-a new class of active queue management algorithms. Department of EECS Network Systems, University of Michigan (2009)
Feng, W., et al.: Stochastic fair blue: a queue management algorithm for enforcing fairness. In: Proceedings of IEEE, April 2001
Stallings, W.: High-Speed Network: TCP/IP and ATM Design Principles. Prentice Hall, Upper Saddle River (1998). ISBN 0-13-525965
Zadeh, L.A.: Fuzzy sets. Inf. Control 8, 333–353 (1965)
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© 2014 ICST Institute for Computer Science, Social Informatics and Telecommunications Engineering
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Quoc, N.K., Tu, V.T., Hai, N.T. (2014). Fuzzy Logic Control for SFB Active Queue Management Mechanism. In: Vinh, P., Alagar, V., Vassev, E., Khare, A. (eds) Context-Aware Systems and Applications. ICCASA 2013. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 128. Springer, Cham. https://doi.org/10.1007/978-3-319-05939-6_11
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