Development of QoS Methods in the Information Networks with Fractal Traffic

• Autorzy: Daradkeh Y. I. , Kirichenko L. , Radivilova T.

Identyfikatory

DOI

10.24425/118142

• Języki publikacji: EN

Abstrakty

EN

The paper discusses actual task of ensuring the quality of services in information networks with fractal traffic. The generalized approach to traffic management and quality of service based on the account of multifractal properties of the network traffic is proposed. To describe the multifractal traffic properties, it is proposed to use the Hurst exponent, the range of generalized Hurst exponent and coefficient of variation. Methods of preventing of network overload in communication node, routing cost calculation and load balancing, which based on fractal properties of traffic are presented. The results of simulation have shown that the joint use of the proposed methods can significantly improve the quality of service network.

Słowa kluczowe

EN

communication system traffic; fractals; quality of service; queueing analysis; routing

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2018
• Tom: Vol. 64, No. 1
• Strony: 27--32
• Opis fizyczny: Bibliogr. 23 poz., tab.

Twórcy

autor

Daradkeh Y. I.

• Prince Sattam bin Abdulaziz University, College of Engineering, Saudi Arabia

autor

Kirichenko L.

• Kharkiv National University of Radioelectronics, Ukraine

autor

Radivilova T.

• harkiv National University of Radioelectronics,Ukraine

Bibliografia

• [1] 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.
• [2] Lakhmi Priya Das, Sanjay kumar Patra, “Fractal Behavior of TCP/IP in Network Traffic”, International Journal of Advance Computing Technique and Applications, Vol 3(1), pp.124-128, 2015.
• [3] Michał Czarkowski, Sylwester Kaczmarek, Maciej Wolff, “Influence of Self-Similar Traffic Type on Performance of QoS Routing Algorithms’, INTL Journal of electronics and telecommunications, vol. 62, no. 1, pp. 81-87, 2016. doi: https://doi.org/10.1515/eletel-2016-0011.
• [4] O. I. Shelukhin, S.M. Smolskiy, A.V. Osin. Self-Similar Processes in Telecommunications, New York : John Wiley & Sons, pp. 183-196, 2007.
• [5] Lakhmi Priya Das, Sanjay Kumar Patra, Sarojananda Mishra, “Impact of hurst parameter value in self-similarity behaviour of network traffic”, International Journal of Research in Computer and Communication Technology, Vol 5, No 12, pp.631-633, 2016.
• [6] R.H.Riedi. Multifractal processes. Long Range Dependence: Theory and Applications, in Doukhan P., Oppenheim G., Taqqu M.S. (Eds.), Birkhuser, pp. 625-715, 2002.
• [7] L.O. Kirichenko, T.A. Radivilova E. Kayali, “Routing calculation value in the MPLS network based on fractal properties of traffic”, Automated control systems and automation equipment, vol. 161, pp. 116-121, 2012.
• [8] L. Kirichenko, T. Radivilova, E Kayali, “Modeling telecommunications traffic using the stochastic multifractal cascade process”, Problems of Computer Intellectualization, ed. K. Markov, V. Velychko, O. Voloshin. Kiev-Sofia: ITHEA, pp.55-63, 2012.
• [9] Andreas Betker, Inken Gamrath, Dirk Kosiankowski, Christoph Lange, Heiko Lehmann, Frank Pfeuffer, Felix Simon, Axel Werner, “Comprehensive topology and traffic model of a nationwide telecommunication network”, IEEE/OSA Journal of Optical Communications and Networking, Vol. 6(11), pp. 1038-1047, 2014. doi: 10.1364/JOCN.6.001038.
• [10] Bhat U. Narayan. An Introduction to Queueing Theory: Modeling and Analysis in Applications, .Birkhauser, Springer, pp.186-192, 2015.
• [11] Tatamikova Tatiana Mikhailovna; Kutuzov Oleg Ivanovich, “Evaluation and comparison of classical and fractal queuing systems”, XV International Symposium Problems of Redundancy in Information and Control Systems, pp.155-157, 2016. doi: 10.1109/RED.2016.7779352.
• [12] L. Kirichenko, T. Radivilova, “Analysis of network performance under selfsimilar system loading by computer simulation”, Bionics intelligence, No1 (68), pp. 158-160, 2008.
• [13] L. Kirichenko, T. Radivilova, Abed Saif, Alghawli, “Mathematical simulation of self-similar network traffic with aimed parameters”, Anale. Seria Informatică, Vol. XI fasc. 1, pp.17-22, 2013.
• [14] Donghyuk Han; Jong-Moon Chung, “Self-Similar Traffic End-to-End Delay Minimization Multipath Routing Algorithm”, IEEE Communications Letters, Vol.18(12), pp. 2121-2124, 2014. doi: 10.1109/LCOMM.2014.2362747.
• [15] Congshan Fan, Tiankui Zhang, Zhimin Zeng, Yue Chen, “Optimal Base Station Density in Cellular Networks with Self-Similar Traffic Characteristics”, Wireless Communications and Networking Conference (WCNC), 2017. doi: 10.1109/WCNC.2017.7925881.
• [16] Somreeta Pramanik, Raja Datta, Puspal Chatterjee, “Self-similarity of data traffic in a Delay Tolerant Network”, 2017 Wireless Days, pp. 39-42, 2017. doi: 10.1109/WD.2017.7918112.
• [17] Muhammad Asif, Shafiullah Khan, Rashid Ahmad, Muhammad Sohail, Dhananjay Singh, “Quality of Service of Routing Protocols in Wireless Sensor Networks: A Review”, Published in: IEEE Access, Vol. 5, pp. 1846-1871, 17 January 2017. doi: 10.1109/ACCESS.2017.2654356.
• [18] Hisao Kameda, Lie Li, Chonggun Kim, Yongbing Zhang. Optimal Load Balancing in Distributed Computer Systems, Springer, Verlag London Limited, P. 138-147. 1997.
• [19] Lyudmila Kirichenko; Igor Ivanisenko; Tamara Radivilova, “Dynamic load balancing algorithm of distributed systems”, 13th International Conference on Modern Problems of Radio Engineering, Telecommunications and Computer Science (TCSET), pp. 515-518, 2016. doi: 10.1109/TCSET.2016.7452102.
• [20] V. Cardellini, M. Colajanni, P. S. Yu, “Dynamic Load Balancing on Web-server Systems”, IEEE Internet Computing,. vol.3(3), pp.28-39, 1999. doi: 10.1109/4236.769420.
• [21] Wenhong Tian, Yong Zhao. Optimized Cloud Resource Management and Scheduling: Theories and Practices, Morgan Kaufman, 1 st ed., pp.92-104, 2014.
• [22] Tamara Radivilova; Lyudmyla Kirichenko; Igor Ivanisenko, “Calculation of distributed system imbalance in condition of multifractal load”, Third International Scientific-Practical Conference Problems of Infocommunications Science and Technology, pp. 156 - 158, 2016. doi: 10.1109/INFOCOMMST.2016.7905366.
• [23] L. Kirichenko, T. Radivilova, I.Ivanisenko, “Load balancing methods based on multifractal traffic properties”, International journal Information content and processing, vol.2(4), pp.345-368, 2015.

Uwagi

Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2018).