Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms

• Autorzy: Czarkowski M. , Kaczmarek S. , Wolff M.

Identyfikatory

DOI

10.1515/eletel-2016-0011

• Języki publikacji: EN

Abstrakty

EN

Providing a Quality of Services (QoS) into current telecommunication networks based on packet technology is a big challenge nowadays. Network operators have to support a number of new services like voice or video which generate new type of traffic. This traffic serviced with QoS in consequence requires access to appropriate network resources. Additionally, new traffic type is mixed with older one, like best-effort. Analysis of these new and mixed traffic types shows that this traffic is self-similar. Network mechanisms used for delivery of quality of services may depend on traffic type especially from the performance point of view. This paper presents a feasibility study done into the effect of traffic type influence on performance of routing algorithm while the routing algorithm is treated as one of the mechanisms to support QoS in the network.

Słowa kluczowe

EN

self-similar traffic; QoS routing; performance; simulation

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2016
• Tom: Vol. 62, No. 1
• Strony: 81--87
• Opis fizyczny: Bibliogr. 21 poz., rys., tab., wykr.

Twórcy

autor

Czarkowski M.

• Department of Teleinformation Networks, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gabriela Narutowicza st 11/12, 80-233 Gdańsk, Poland

autor

Kaczmarek S.

• Department of Teleinformation Networks, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gabriela Narutowicza st 11/12, 80-233 Gdańsk, Poland

autor

Wolff M.

• Department of Teleinformation Networks, Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Gabriela Narutowicza st 11/12, 80-233 Gdańsk, Poland

Bibliografia

• [1] M. El-Sayed and J. Jaffe, “A View of Telecommunications Network Evolution”, IEEE Communications Magazine, vol. 40, pp. 74-81, December 2002.
• [2] S. Blake, D. Black, M. Carlson, E. Davies, Z. Wang, W. Weiss, “An architecture for differentiated services”, IETF, RFC 2475, 1998.
• [3] O. I. Sheluhin, M. S. Smolskiy, A. V. Osin, “Self-Similar Processes in Telecommunications”, Hoboken: John Wiley & Sons, 2007.
• [4] W. E. Leland, M. S. Taqqu, W. Willinger and D. V. Wilson, “On the self-similar nature of Ethernet traffic (extended version)”, IEEE/ACM Trans. Netw., vol. 2, , pp. 1-15, February 1994.
• [5] H. S. Acharya, S. R. Dutta and R. Bhoi, “The Impact of self-similarity Network traffic on quality of services (QoS) of Telecommunication Network”, International Journal of IT Engineering and Applied Sciences Research (IJIEASR), vol. 2, pp. 54-60, February 2013.
• [6] M. Guo, S. Jiang, Q. Guan and M. Liu, “QoS provisioning performance of IntServ, DiffServ and DQS with multiclass self-similar traffic”, Transactions on Emerging Telecommunications Technologies, vol. 24, pp. 600-614, October 2013.
• [7] X. Tan, Y. Zhuo, “Simulation Based Analysis of the Performance of Self similar Traffic”, in Proceedings of 4th International Conference on Computer Science & Education, Naning, 2009, pp. 312-316.
• [8] M. Pioro, D. Medhi, “Routing, Flow, and Capacity Design in Communication and Computer Networks”, San Francisco: Elsevier Inc., 2004.
• [9] N. Likhanov, B. Tsybakov, N. Georganas, “Analysis of an ATM buffer with self-similar (“fractal”) input traffic”, in Proceedings of Fourteenth Annual Joint Conference of the IEEE Computer and Communications Societies. Bringing Information to People, Boston, vol.3, 1995, pp. 985 - 992.
• [10] OMNeT++, http://www.omnetpp.org/, 15.03.2012.
• [11] M. Czarkowski, S. Kaczmarek, „Simulation Model for Evaluation QoS Dynamic Ruting”, in Proceedings of ISAT Conference, Wroclaw, 2009, pp. 255-264.
• [12] ITU-T, “Network performance objectives for IP-based services”, Y.1541, February 2006.
• [13] sndlib, http://www.sndlib.zib.de/, 01.06.2012.
• [14] M. Czarkowski, S. Kaczmarek, “Dynamic Unattended Measurement Based Routing Algorithm for DiffServ Architecture”, in Proceedings of Telecommunications Network Strategy and Planning Symposium (NETWORKS), Warsaw, 2010, pp. 1- 6.
• [15] N. Blefari-Melazzi, “A simple and illustrative analytical model for the performance analysis of queuing systems loaded with mpeg streams”, European Transactions on Telecommunications, vol. 13, pp. 221-236, May-June 2002.
• [16] T. D. Dang, B. Sonkoly, S. Molnar, “Fractal analysis and modeling of VoIP traffic”, in Proceedings of Telecommunications Network Strategy and Planning Symposium (NETWORKS), Vienna, 2004, pp. 123-130.
• [17] J. T. Moy, “OSPF Anatomy of an Internet Routing Protocol”, Harlow, England: Addison-Wesley, 2001.
• [18] M. Czarkowski, S. Kaczmarek, M. Wolff, “Traffic Type Influence on QOS Network Performance of Streaming Traffic Class”, in Information Systems Architecture and Technology: Network Architecture and Applications, Wroclaw, 2013, pp. 63-72.
• [19] M. Czarkowski, S. Kaczmarek, “Simulation model for evaluation of packet sequence changed order of stream in DiffServ network”, in Proceedings of Poznan Workshop of Telecommunication, Poznan, 2008, pp. 30-34.
• [20] M. Czarkowski, S. Kaczmarek, M. Wolff, “Traffic Type Influence on Performance of OSPF QoS Routing”, Journal of Telecommunications and Information Technology, vol. 3, pp. 19-28, 2013.
• [21] K. Nichols, S. Blake, F. Baker, D. Black, “Definition of the Differentiated Services Field (DS Field) in the IPv4 and IPv6 Headers”, IETF, RFC 2474, 1998.

Uwagi

PL

Opracowanie ze środków MNiSW w ramach umowy 812/P-DUN/2016 na działalność upowszechniającą naukę.