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An Efficient QoS-Aware Bandwidth Re-Provisioning Scheme in a Next Generation Wireless Packet Transport Network  

Park, Jae-Sung (수원대학교 IT대학 인터넷정보공학과)
Abstract
In this paper, we propose a QoS-aware efficient bandwidth re-provisioning scheme in a next generation wireless packet transport network. At the transport network layer, it classifies the traffic of the radio network layer into a real time class and a non-real time class. Using an auto-regressive time-series model and a given packet loss probability, our scheme predicts the needed bandwidth of the non-real time class at every re-provisioning interval. Our scheme increases the system capacity by releasing the unutilized bandwidth of the non-real time traffic class for the real-time traffic class while insuring a controllable upper bound on the packet loss probability of a non-real time traffic class. Through empirical evaluations using the real Internet traffic traces, our scheme is validated that it can increase the bandwidth efficiency while guaranteeing the quality of service requirements of the non-real time traffic class.
Keywords
Bandwidth Management; Traffic Measurement; Ouality of Service(OoS) Class; Autoregressive Model;
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1 B. Li et al., 'Call admission control for voice/data integrated cellular networks: performance analysis and comparative study', IEEE JSAC, Vol. 22, pp. 706-718, May 2004
2 W. E. Leland, and M. S. Taqq, W. Willinger, and D. V. Wilson, 'On the Self-Similar Nature of Ethernet Traffic', IEEE/ACM Trans. on Networking, Vol 2, Issue 1, pp. 1-15, February, 1994   DOI   ScienceOn
3 Balaji Krithikaivasan, et. al., 'Adaptive Bandwidth Provisioning Envelope based on Discrete Temporal Network Measurements', IEEE Infocom 2004, Vol. 3, pp. 1786-1796, March 2004
4 Hung Tuan, and Thomas Ziegler, 'On the Adaptive Bandwidth Provisioning Schemes', IEEE ICC 2004, Vol. 2, pp. 1123-1128, June 2004
5 Baek-Yong Choi, et. al., 'Adaptive Random Sampling for Load Change Detection', University of Minnesota, Technical Report, TR-01-041, 2001
6 Aimin Sang, and San-qi Li, 'A Predictability Analysis of Network Traffic', IEEE Infocom2000, Vol. 1, pp. 342-351, March 2000
7 http://pma.nlanr.net/Traces/long
8 John M. Gottman, 'Time-series Analysis', Cambridge University Press, 1981
9 Wei-Ping Wang, et. al., 'A simple approximation for modeling nonstationary queues', IEEE Infocom'96, pp. 255-262, March 1996
10 S. Sharma, and D. Tipper, 'Approximate models for the study of nonstationary queues and their applications', IEEE ICC'93, pp. 352-358, June 1993
11 Y. Huang et al., 'Performance analysis for voice/data integration on a finite mobile systems', IEEE Trans. on vehicular technology, vol. 49, pp. 367-378, March 2000   DOI   ScienceOn
12 V. Paxson, and S. Floyd, 'Wide-Area Traffic: The Failure of Poisson Modeling', IEEE/ACM Trans. on Networking, vol. 3, no. 3, pp. 226-244, June 1995   DOI   ScienceOn