Ori Gerstel and Patrick Iannone, Editors-in-Chief
Brownson O. Obele, Mohsin Iftikhar, Suparek Manipornsut, and Minho Kang
Brownson O. Obele,1 Mohsin Iftikhar,2 Suparek Manipornsut,3 and Minho Kang1
1B. O. Obele (e-mail: firstname.lastname@example.org) and M. H. Kang (e-mail: email@example.com) are with the School of Information and Communications Engineering of the Korea Advanced Institute of Science and Technology (KAIST), IT Convergence Campus, Daejeon 305-732, South Korea. B. O. Obele is now also serving an internship with the Network R&D Laboratory of Korea Telecom (KT).
2M. Iftikhar (e-mail: firstname.lastname@example.org) is with the National Information, Communication and Technology Association, Australia (NICTA), University of New South Wales, Locked Bag 6016, Sydney NSW 1466, Australia.
3S. Manitpornsut (e-mail: suparerḵman@utcc.ac.th) is with the Department of Computer Engineering of the University of the Thai Chamber of Commerce, Bangkok 10400, Thailand.
The access network has remained the bottleneck in efforts to deliver bandwidth-intensive new-generation applications and services to subscribers. In the wired access network, the gigabit Ethernet passive optical network (GEPON) is a promising technology for relieving this bottleneck, while its counterpart in the wireless access network is worldwide interoperability for microwave access (WiMAX). A converged quadruplet-service-enabled (video, voice, data, and mobility) network, which takes full advantage of the strengths and weaknesses of each of these promising technologies, has been proposed. Besides, research and Internet measurements have revealed that actual Ethernet and wireless data traffic are self-similar and long-range dependent. Therefore, we review the quality of service (QoS) architecture for integrating WiMAX and GEPON access networks that we proposed in previous work. Then, we present an analysis of the queuing behavior of the QoS architecture under self-similar and long-range-dependent data traffic conditions and derive closed-form expressions of the expected waiting time in queue (queuing delay) and the packet loss rate per QoS traffic class. This work brings novelty in terms of presenting performance analysis of the proposed QoS-aware integrated architecture under realistic load conditions and facilitates the provisioning of tightly bound QoS parameters to end users of the converged access network.
© 2009 Optical Society of America
M. Iftikhar, T. Singh, B. Landfeldt, M. Caglar, “Multiclass G/M/1 queuing system with self-similar input and non-preemptive priority,” Comput. Commun., vol. 31, no. 5, pp. 1012–1027, March 2008.
G. Shen, R. S. Tucker, C. J. Chae, “Fixed mobile convergence architectures for broadband access: integration of EPON and WiMAX,” IEEE Commun. Mag., vol. 45, no. 8, pp. 44–50, Aug. 2007.
T. Karagiannis, M. Molle, M. Faloutsos, “Long-range dependence: ten years of Internet traffic modeling,” in IEEE Internet Comput., vol. 8, no. 5, pp. 57–64, Sept.–Oct. 2004.
M. Çağlar, “A long-range dependent workload model for packet data traffic,” Math. Op. Res., vol. 29, no. 1, pp. 92–105, Feb. 2004.
C. Williamson, “Internet traffic measurement,” in IEEE Internet Comput., vol. 5, no. 6, pp. 70–74, Nov. /Dec. 2001.
Z. Sahinoglu, S. Tekinay, “On multimedia networks: self-similar traffic and network performance,” IEEE Commun. Mag., vol. 31, no. 1, pp. 48–52, Jan. 1999.
M. E. Crovella, A. Bestavros, “Self-similarity in World Wide Web traffic: evidence and possible causes,” in IEEE/ACM Trans. Netw., vol. 5, no. 6, pp. 835–846, Dec. 1997.
W. E. Leland, M. S. Taqqu, W. Willinger, D. Wilson, “On the self-similar nature of Ethernet traffic,” in IEEE/ACM Trans. Netw., vol. 2, no. 1, pp. 1–15, Feb. 1994.
M. W. Garrett, W. Willinger, “Analysis, modeling and generation of self-similar VBR video traffic,” ACM SIGCOMM Comput. Commun. Rev., vol. 24, no. 4, pp. 269–280, Oct. 1994.
Y. Luo, S. Yin, T. Wang, Y. Suemura, S. Nakamura, N. Ansari, M. Cvijetic, “QoS-aware scheduling over hybrid optical wireless networks,” in Nat. Fiber Optic Engineers Conf., Anaheim, CA, March 25, 2007, OSA Technical Digest Series (CD), Washington, DC: Optical Society of America, 2007, paper NThB1.
Y. Luo, N. Ansari, T. Wang, M. Cvijetic, S. Nakamura, “A QoS architecture of integrating GEPON and WiMAX in the access network,” in 2006 IEEE Sarnoff Symp., Princeton, NJ, March 27–28, 2006, pp. 1–4.
M. Crovella, A. Bestavros, “Explaining World Wide Web traffic self-similarity,” Tech. Rep. TR-95–015, Computer Science Department, Boston University, Boston MA, Aug. 1995.
M. Iftikhar, B. Landfeldt, M. Caglar, “Traffic engineering and QoS control between wireless DiffServ domains using PQ and LLQ,” in Proc. 5th ACM Int. Workshop on Mobility Management and Wireless Access, Chania, Crete Island, Greece, Oct. 22, 2007, pp. 120–129.
M. Iftikhar, B. Landfeldt, M. Caglar, “An analytical model based on G/M/1 with self-similar input to provide end-to-end QoS in 3G networks,” in Proc. 4th ACM Int. Workshop on Mobility Management and Wireless Access, Terromolinos, Spain, Oct. 2, 2006, pp. 180–189.
W. Odom, M. J. Cavanaugh, “Cisco QOS Exam Certification Guide,” 2nd ed., Indianapolis, IN: Cisco, 2004, pp. 1–310.
K. Park, G. T. Kim, M. E. Crovella, “On the relationship between file sizes, transport protocols and self-similar network traffic,” in 4th Int. Conf. on Network Protocols (ICNP'96), Columbus, OH, Oct. 29–Nov. 1, 1996, pp. 171–180.
Y. Luo, T. Wang, S. Weinstein, M. Cvijetic, S. Nakamura, “Integrating optical and wireless services in the access network,” in Optical Fiber Communication Conf. and Exposition and The Nat. Fiber Opt. Engineers Conf., Anaheim, CA, March 5, 2006, Technical Digest (CD), Washington, DC: Optical Society of America, 2006, paper NThG1.
W. Willinger, M. S. Taqqu, A. Erramilli, “A bibliographical guide to self-similar traffic and performance modeling for modern high-speed networks,” in Stochastic Networks: Theory and Applications, F. P. Kelly, S. Zachary, and I. Ziedins, eds., pp. 339–366, New York, NY: Oxford Univ. Press, 1996.
H. Fei, B. Yu, “Performance evaluation of wireless mesh networks with self-similar traffic,” in Int. Conf. on Wireless Communications, Networking and Mobile Computing, 2007. WiCom 2007, Shanghai, China, Sept. 21–25, 2007, pp. 1697–1700.
D. Gross, J. Shortle, M. Fischer, D. Masi, “Difficulties in simulating queues with Pareto service,” in Proc. Winter Simulation Conf., 2002, San Diego, CA, Dec. 8–11, 2002, vol. 1, pp. 407–415.
M. Fras, J. Mohorko, “Estimating the parameters of measured self similar traffic for modeling in OPNET,” in 14th Int. Workshop on Systems, Signals and Image Processing, 2007 and 6th EURASIP Conf. Focused on Speech and Image Processing, Multimedia Communications and Services, Maribor, Slovenia, June 27–30, 2007, pp. 78–81.
B. O. Obele, M. H. Kang, “Fixed mobile convergence: a self-aware QoS architecture for converging WiMAX and GEPON access networks,” in The 2nd Int. Conf. on Next Generation Mobile Applications, Services and Technologies, 2008. NGMAST '08, Cardiff, Wales, Sept. 16–19, 2008, pp. 411–418.
L. Kleinrock, Queuing Systems, Volume 2: Computer Applications, New York, NY: Wiley-Interscience, 1976.
T. Nakashima, T. Sueyoshi, “Analysis of queuing property for self-similar traffic,” in 22nd Int. Conf. on Advanced Information Networking and Applications, 2008, Okinawa, Japan, March 25–28, 2008, pp. 241–248.
T. Tuan, K. Park, “Performance evaluation of multiple time scale TCP under self-similar traffic conditions,” Tech. Rep. CSD-TR-99–040, Department of Computer Sciences, Purdue University, 1999, http://citeseer.ist.psu.edu/article/tuan99performance.html.
P. Ulanovs, E. Petersons, “Modeling methods of self-similar traffic for network performance evaluation,” in Scientific Proceedings of Riga Technical University. Series 7. Telecommunications and Electronics, 2002, pp. 40–49.
OSA participates in Crossref's Cited-By Linking service. Citing articles from OSA journals and other participating publishers are listed here.
Alert me when this article is cited.
Click here to see a list of articles that cite this paper
WiMAX–GEPON convergence architecture.
Download Full Size | PPT Slide | PDF
Converged ONU-BS architecture.
(a) Inbound queuing delay versus Hurst parameter; (b) outbound queuing delay versus Hurst parameter
Numerical and simulation results for (a) inbound queuing delay and (b) outbound queuing delay.
(a) Inbound queue size versus Hurst parameter; (b) outbound queue size versus Hurst parameter.
(a) Inbound packet loss rate versus Hurst parameter; (b) outbound packet loss rate versus Hurst parameter.
(a) Inbound packet loss rate versus Hurst parameter (closer view of I-UGS and I-rtPS queues); (b) outbound packet loss rate versus Hurst parameter (closer view of O-UGS and O-rtPS queues).
Numerical and simulation results for (a) inbound packet loss rate, (b) outbound packet loss rate.
Equations on this page are rendered with MathJax. Learn more.