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Jin Cao, W. Cleveland, D. Lin, Don Sun (2001)
The Effect of Statistical Multiplexing on the Long-Range Dependence of Internet Packet TrafficBell Labs Technical Journal
Myungsik Yoo, Myoungki Jeong, C. Qiao (1997)
High-speed protocol for bursty traffic in optical networks, 3230
J. Roberts (2001)
Traffic theory and the InternetIEEE Commun. Mag., 39
A. Papoulis (1965)
Probability, Random Variables and Stochastic Processes
Jin Cao, W. Cleveland, D. Lin, Don Sun (2001)
On the nonstationarity of Internet traffic
R. Addie, M. Zukerman, T. Neame (1998)
Broadband traffic modeling: simple solutions to hard problemsIEEE Commun. Mag., 36
K. Dolzer, C. Gauger (2001)
On burst assembly in optical burst switching networks—A performance evaluation of just-enough-timeTeletraffic Science and Engineering, 4
V. Paxson, S. Floyd (1994)
Wide-area traffic: the failure of Poisson modelingProceedings of the conference on Communications architectures, protocols and applications
(1979)
Robust R/S analysis of long run serial correlation,
(1997)
A high speed protocol for bursty traffic in optical networks,” in SPIE’s All-Optical Communication Systems: Architecture
C. Xin, C. Qiao (2001)
A comparative study of OBS and OFSOFC 2001. Optical Fiber Communication Conference and Exhibit. Technical Digest Postconference Edition (IEEE Cat. 01CH37171), 4
A. Ge, F. Callegati, L. Tamil (2000)
On optical burst switching and self-similar trafficIEEE Communications Letters, 4
D. Daley, D. Vere-Jones (2013)
An Introduction to the Theory of Point Processes
Y. Xiong, M. Vandenhoute, H. Cankaya (2000)
Control architecture in optical burst-switched WDM networksIEEE Journal on Selected Areas in Communications, 18
QiaoChunming, YooMyungsik (1999)
Optical burst switching (OBS) - a new paradigm for an optical InternetJournal of High Speed Networks
W. Willinger, V. Paxson, M. Taqqu (1998)
Self-similarity and heavy tails: structural modeling of network traffic
W. Leland, W. Willinger, M. Taqqu, D. Wilson (1993)
On the self-similar nature of Ethernet trafficComput. Commun. Rev., 25
J. Turner (1999)
Terabit burst switchingJ. High Speed Networks, 8
M. Crovella, Azer Bestavros (1996)
Self-similarity in World Wide Web traffic: evidence and possible causesIEEE/ACM Trans. Netw., 5
R. Cowan (1978)
An introduction to the theory of point processesMathematica Applicanda, 6
Optical Burst Switching (OBS) is considered as a promising switching technique for building the next generation optical Internet. In OBS networks, one important issue is how the performance will be affected by bursts assembled from packets, which is the basic transmission unit in OBS. In this paper, we study the fundamental statistic properties such as the burst length distribution, inter-arrival time distribution, as well as correlation structure of assembled burst traffic from burst assembly algorithms. From both theoretical and empirical results, it is demonstrated that after the assembly, the traffic will in general approach the Gaussian distribution. In particular, the variance of assembled traffic decreases with the increase in the assembly window size and the traffic load. However, the long range dependence in the input traffic will not change after assembly. Such smoothed assembled traffic will enhance the OBS performance by reducing burst loss and increase OBS throughput. This result is useful for the future study of OBS node and networks.
Proceedings of SPIE – SPIE
Published: Jul 5, 2002
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