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A Survey on the Common Network Traffic Sources Models
Ahmed M. Mohammed, Adel F. Agamy
Pages - 103 - 115 | Revised - 01-05-2011 | Published - 31-05-2011
Published in International Journal of Computer Networks (IJCN)
MORE INFORMATION
KEYWORDS
Traffic Modeling, Performance, Quality of Service
ABSTRACT
Selecting the appropriate traffic model can lead to the successful design of networks. The more accurate is the traffic model the better is the system quantified in terms of its performance Successful design lead to enhancement the overall performance of the whole of network .in literature there is innumerous traffic models proposed for understanding and analyzing the traffic characteristics of networks. Consequently, the study of traffic models to understand the features of the models and identify eventually the best traffic model, for a concerned environment has become a crucial and lucrative task. Good traffic modeling is also a basic requirement for accurate capacity planning. This paper provides an overview of some of the widely used network traffic models, highlighting the core features of the model and traffic characteristics they capture best. Finally we found that the N_BURST traffic model can capture the traffic characteristics of most types of networks, under every possible circumstance rather than any type of traffic model.
1 | Pehlivanli, a. (2015). software implementations of qos scheduling algorithms for high speed networks (doctoral dissertation, middle east technical university). |
2 | Lebre, M. A., Mouel, F. L., & Menard, E. (2015, December). On the importance of real data for microscopic urban vehicular mobility trace. In ITS Telecommunications (ITST), 2015 14th International Conference on (pp. 22-26). IEEE. |
3 | Tiemeni, G. L. N. (2015). Performance estimation of wireless networks using traffic generation and monitoring on a mobile device. |
4 | Das, S. (2014). Network Traffic Modelling: Survey of Purpose and Application (Doctoral dissertation). |
5 | Chen, Z., Guan, L., & Bull, P. (2014, August). Dynamic Arrival Process for TCP Using a Novel Time-Dependant Statistical Calculation Approach. In Future Internet of Things and Cloud (FiCloud), 2014 International Conference on (pp. 483-490). IEEE. |
6 | Varfolomeeva, A., & Romanov, V. Cloud Services Performance Management. |
7 | Mohamed, A. M., & Agamy, A. F. (2012, May). Performance behaviour of WSN with bursty traffic. In Informatics and Systems (INFOS), 2012 8th International Conference on (pp. NW-40). IEEE. |
8 | Romanov, V., Varfolomeeva, A., & Koryakovskiy, A. (2012, January). Branching processes theory application for cloud computing demand modeling based on traffic prediction. In Advanced Information Systems Engineering Workshops (pp. 502-510). Springer Berlin Heidelberg. |
A. Erramilli and R.P. Singh, “An Application of Deterministic Chaotic Maps to Model Packet Traffic”, Bellcore Technical Memorandum, 1992; preprint 1993, co-author P.Pruthi. | |
Abdelnaser Adas, “Traffic Models in Broadband Networks”, IEEE Communications Magazine, Jul. 1997 | |
B.Maglaris, D.Anastassiou, P .Sen, G. Karlsson, and J.D.Robbins. Performance models of statistical multiplexing in packet video communications IEEE Transaction on Communication ,36(7):834-844,july1988 | |
C. Chang, “Stability, queue length, and delay of deterministic and stochastic queueing networks”, IEEE Trans. Automat. Contr., vol. 39 no. 5, pp. 913-931, May 1994 | |
D. Ferrariand ,D. Verma “AScheme for Real Time Channel Establishment in Wide Area Networks IEEE Journal On Selected Areas in Communications, 8(3):368-379, April 1990. | |
Dallas E. Wrege, Edward W. Knightly, Hui Zhang, and Jorg Liebeherr, " Deterministic Delay Bounds for VBR Video in Packet-Switching Networks: Fundamental Limits and Practical Trade-offs"IEEEIACM TRANSACTIONS ON NETWORKING, VOL. 4, NO. 3, JUNE 1996. | |
Daniel Heyman,”Performance Implications of Very Large Service-Time Variances.” Proceedings of the SPIE conference on Performance and Control of Network Systems. Boston, November 1998. | |
E. W. Knightly and H. Zhang, “D-BIND: an accurate traffic model for providing QoS guarantees to VBR traffic,” IEEE ACM Transactions on Networking, vol. 5, Issue 2, pp. 219- 231, April 1997. | |
Edward W. Knightly, Hui Zhang “D-BIND: an accurate traffic model for providing QoS guarantees to VBR traffic” IEEE/ACM Transactions on Networking (TON) Volume 5 , Issue 2 (April 1997) Pages: 219 - 231 | |
Erramilli and R.P. Singh, “Application of Deterministic Chaotic Maps to Characterize Broadband Traffic”, 7th ITC Specialists Seminar, Morristown, 1990. | |
Erramilli, R.P. Singh, and P. Pruthi, “Chaotic Maps as Models of Packet Traffic,” The Fundamental Role of Teletraffic in the Evolution of Telecommunications Networks, Proc. of the 14th ITC, pp. 329-338, 6-10 June, 1994 | |
G.Latouche and V.Ramaswami, Introduction to matrix analytic methods in stochastic modeling, SIAM, 1999. | |
H.Heffes and D.Lucantoni, “AMarkov modulated characterization of packetized voice And data traffic and related statistical multiplexer performance,” IEEE Journal on Selected Areas in Communications, vol. 4, no. 6, pp. 856–868, Sep 1986. | |
Hans-Peter Schwefel and Lester Lipsky, “Performance Results For Analytic Models of Traffic In Telecommunication Systems, Based on Multiple ON-OFF Sources with Self- Similar Behavior”, in P. Key and D. Smith (eds.), ‘Teletraffic Engineering in a Competitive World, Vol 3A’, pp. 55-66. Elsevier, 1999.Hans-Peter Schwefel and Lester Lipsky, “Performance Results For Analytic Models of Traffic In Telecommunication Systems, Based on Multiple ON-OFF Sources with Self- Similar Behavior”, in P. Key and D. Smith (eds.), ‘Teletraffic Engineering in a Competitive World, Vol 3A’, pp. 55-66. Elsevier, 1999. | |
Hui zhang,Edward w.knightly, providing end to end statistical performance guarntees with bounding interval dependent stochastic models In ACM SigMetri94,pages211- 220,june,1994 | |
J. Kurose On computing per session performance bounds in high speed multihop computer networks In ACM SigMetri92, pages128-139, Newport Rhode Island June 1992. | |
L.S. Liebovitch and T.I. Toth, ‘‘Ion Channel Kinetics: Random or Deterministic Process?", Biophysical Journal, vol. 57, pg 317a, 1990 | |
Lester Lipsky, Pierre Fiorini and Hans-Peter Schwefel, “Analytical Models of Performance in Telecommunication Systems, Based on ON-OFF Traffic Sources with Self-similar Behavior”, 7th International Conference on Telecommunication Systems Modeling and Analysis, Nashville, March 1999. | |
Lester Lipsky, QUEUEING THEORY: A Linear Al- gebraic Approach, MacMillan and Company, New York, 1992. | |
LesterLipsky,Hans-Peter Schwefel,Manfred Jobmann, And Micael Greiner, “ComparisonoftheAnalyticN-Burst ModelWithSomeOtherApproximations to Present-Day Telecommunications Traffic”, in TechnicalReport,Univ.of Connecticut,(2000) | |
LesterLipsky,Hans-PeterSchwefel,Manfred Jobmann,And Micael Greiner, “Comparison of the Analytic N-Burst Model With Some Other Approximations to Present-Day Telecommunications Traffic”, in Technical Report ,Univ.of Connecticut,(2000). | |
Lie Qian , Anand Krishnamurthy , Yuke Wang , Yiyan Tang , Philippe Dauchy , and Alberto Conte “A New Traffic Model and Statistical Admission Control Algorithm for Providing QoS Guarantees to On-Line Traffic” IEEE Communications Society Globecom 2004 | |
M. F. Neuts, Structured stochastic matrices of M/G/1 type and their applications, Marcel Dekker, NY 1989. | |
M. Zukerman and I.Rubin,“Queueing performance of demand-assigned multi access communication systems under bursty traffic conditions,” Proceedings of IEEEICC’86, vol. 3, no.57.2, Toronto, Canada, June 1986,pp.1827–1832. | |
M.F.Neuts, Matrix-geometric solutions in stochastic models-algorithmic approach, The John Hopkin’s University Press, Baltimore (1981). | |
M.Zukerman and .Rubin, “On multi channel queueing systems withfluctuating parameters,” Proceedings of IEEEINFOCOM’86, Miami, Florida, April 1986, pp. 600–608. | |
Mark Crovella, Virgilio Almeida, Azer Bestavros and Adriana deOliveira, “Characterizing Reference Locality in the WWW,” ACM F‘DIS, 1996 | |
O .Yaron, and M .Sidi, Performance and stability of communication networks via robust exponential bounds IEEE Transaction on Networking 1(30:pages372-385, june 1993 | |
O.Yaron ,and,M.Sidi. Calculating performance bounds in communication networks In Proceedings of IEEE IN FOCOM93, pages539-546, SanFrancisco, CA, April 1993. | |
P Brady.A techniques for investigating on off patterns in speech Bell System Technical Journal, 44:1-22 January1965 | |
Patrice Abry, Darry1 Veitch, “Wavelet Analysis of Long Rang Dependent Traffic “ IEEE Transactions on Information Theory (1998) | |
Predrag Jelenkovic and Aurel Lazar, ”Multiplexing On- Off Sources with Subexponential On Periods: Part 11.” In V. P. Wirth (eds.), ‘Teletraffic Contributions for Ramaswami and the Information Age, Vol 2A’, pp. 965-974. Elsevier Science B.V., 1997. | |
R. J. Mondragón, D. K. Arrowsmith, and J. M. Pitts,” Chaotic maps for traffic modeling and queueing performance analysis,” Performance Evaluation, vol, pp. 223-240, March 2001. | |
R.Cruz, A calculus for network delay parts I and II. IEEE Transaction of Information Theory37 (1):114-141-1991. | |
Robert B. Cooper, Introduction to Queueing Theory, 2nd Ed., Northland, New York 1981. | |
U.Yechiali and P.Naor, “Queuing Problems with Heterogeneous Arrivals and Service,” Operations Research, vol. 19, pp. 722–734, 1971. | |
U.Yechiali and P.Naor, “Queuing Problems with Heterogeneous Arrivals and Service,”Operations Research, vol. 19, pp. 722–734, 1971. | |
V. Paxson and S. Floyd, "Wide-area Traffic: The Failure of Poisson Modeling", IEEE/ACM Transactions on Networking, Jun. 1995. | |
Victor S. Frost and Benjamin Melamed, "Traffic Modeling for Telecommunications Networks", IEEE Communications, Mar. 1994. | |
Vinary J. Ribeiro, Rudolf H. Riedi, Matthew S.Crouse, and Richard G. Baraniuk, “simulation of nonGausian Long-Rang-Dependent Traffic Using Wavelets”, In Proceeding SIGMETRICS ‘99(April 9,1999) | |
W.Fischer and K.Meier-Hellstern, “The Markov Modulated Poisson process (MMPP)cookbook, ” Performance Evaluation, vol. 18, pp. 149–171, 1992. | |
Dr. Ahmed M. Mohammed
south vally unversity - Egypt
Mr. Adel F. Agamy
south vally university - Egypt
a.f.agamy@gmail.com
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