Preview

Proceedings of Telecommunication Universities

Advanced search

Comparative Analysis of Network Resource Management Methods in SDN

https://doi.org/10.31854/1813-324X-2022-8-1-73-83

Abstract

The article is devoted to the analysis of network resource management methods in the SDN network. In the interests of this, a review of the scientific works was carried out by Russian and foreign authors to identify the solutions used in them, as well as their advantages and disadvantages. The methods covered in scientific articles are systematized according to the following criteria: year of publication, level of applicability of the method (physical, logical, network), availability of a mathematical model, load balancing mode relative to the time of the incident, range of tasks to be solved, degree of research (theoretical, experimental, practical). Based on the analysis of the results of the review, it was concluded that the solutions were unsatisfactory, as well as the need to consider the new IBN technology, covering a wide range of applications and working preventively at all SDN levels.

About the Author

J. Dmitrieva
The Bonch-Bruevich Saint Petersburg State University of Telecommunications
Russian Federation

St. Petersburg, 193232



References

1. ITU. Measuring digital development. Facts and figures 2021. URL: https://www.itu.int/en/ITUD/Statistics/Pages/facts/default.aspx [Accessed 17 March 2022]

2. Kreutz D., Ramos F.M.V., Veríssimoet P.E., Rothenberg C.E., Azodolmolky S., Uhlig S. Software-Defined Networking: A Comprehensive Survey. Proceedings of the IEEE. 2015;103(1):14‒76. DOI:10.1109/JPROC.2014.2371999

3. Panesh A.Kh. The Advantages and Disadvantages of Software-Defined Computer Networks. The Bulletin of Adyghe State University: Internet Scientific Journal. 2016;3(186):109‒113. (in Russ.)

4. Baskakov A., Volkov A. Resources Managing Algorithm for Transport Software-Defined Communication Network. Trudy MAI. 2020;115:6. (in Russ.) DOI:10.34759/trd-2020-115-06

5. Volkov A.S., Baskakov A.E., Bakhtin A.A., Gorelik A.V. Transport SDN Resource Management Method. Systems of Signal Synchronization, Generating and Processing. 2021;12(2):4‒10. (in Russ.)

6. Rytov M.Y., Kalashnikov R.Y., Gorelov A.A. Application of Multi-Level Fair Queue Mechanism for Mitigating Denial-ofService Attacks on Software-Defined Networks. Informatsiia i bezopasnost. 2021;24(2):253‒260. (in Russ.) DOI:10.36622/VSTU.2021.24.2.009

7. Daneshmand B. Analysis and Evaluation of the Effectiveness of Methods for Ensuring the Quality of Service for SoftwareDefined Networks of the Standard 5G/IMT-2020. Russian Technological Journal. 2021;9(5):14‒25. (in Russ.) DOI:10.32362/2500-316X-2021-9-5-14-25

8. Ageeva A.D., Biryukova N.V., Moshkov V.V., Elagin V.S. Transport Software Defined Networks. Modern Science. 2019; 12-4:291‒301. (in Russ.)

9. Mankov V.A., Krasnova I.A. Algorithm for dynamic classification of flows in a multiservice software defined network. IT-Comm. 2017;11(12):37‒42. (in Russ.)

10. Ibrahimov B., Kerimov V. About One Approach to the Assessment of Resources in Multiservice Communication Networks on the Basis of A Single Infocommunication Space. Proceedings of the XV Annual International Scientific and Technical Conference on IT Technologies: Development and Applications, 12–14 December 2018, Vladikavkaz, Russia. Vladikavkaz: North Caucasian Institute of Mining and Metallurgy Publ.; 2018. p.283‒293. (in Russ.)

11. Elagin V. In Software-Defined Network. Proc. of Telecom. University. 2017;3(3):60‒67. (in Russ.)

12. Amelyanovich A.V., Shpakov M.N., Mutkhanna A.S., Buynevich M.V., Vladyko A.G. Centralized Control of Traffic Flows in Wireless Local Area Networks Based on the Concept of SDN. Systems of Signal Synchronization, Generating and Processing. 2017;8(2):31‒35. (in Russ.)

13. Guzev O.Yu., Chizhov I.V. SDN Load Balancing for Secure Networks. Systems and Means of Informatics. 2018;28(1): 123–138. DOI:10.14357/08696527180110

14. Guzev O.Yu., Chizhov I.V. SDN Load Balancing on L3-VPN Gateways in Data Centers Interconnection. Systems and Means of Informatics. 2018;28(1):139–155. DOI:10.14357/08696527180111

15. Bratchenko N.Y., Mochalov V.P., Yakovlev S.V. The Development of Imitating Model of System of Quality Management of Information and Communication Services SDN. Sovremennaa nauka i innovacii. 2019;3(27):44‒53. DOI:10.33236/2307910X-2019-3-27-47-56

16. Pashkov V.N. Fault-Tolerance Distributed Control Plane for Software Defined Networks. Modeling and Analysis of Information Systems. 2019;26(1):101‒121. DOI:10.18255/1818-1015-2019-1-101-121

17. Sufiev H., Haddad Y. A dynamic load balancing architecture for SDN. Proceedings of the International Conference on the Science of Electrical Engineering, ICSEE, 16–18 November 2016, Eilat, Israel. IEEE; 2016. DOI:10.1109/ICSEE.2016.7806104

18. Sufiev H., Haddad Y., Barenboim L., Soler J. Dynamic SDN Controller Load Balancing. Future Internet. 2019;11(3):75. DOI:10.3390/fi11030075

19. Aly W.H.F. Controller Adaptive Load Balancing for SDN Networks. Proceedings of the Eleventh International Conference on Ubiquitous and Future Networks, ICUFN, 2‒5 July 2019, Zagreb, Croatia. IEEE; 2019. DOI:10.1109/ICUFN.2019. 8805922

20. Aly W.H.F. Generic Controller Adaptive Load Balancing (GCALB) for SDN Networks. Journal of Computer Networks and Communications. 2019. DOI:10.1155/2019/6808693

21. Bharanidharan C., Gandhi S.I., Devapriya R.D. An Enhanced Framework for Traffic Load Balancing and QoS Provisioning in SDN. Wireless Personal Communications. 2021;121:3451–3472. DOI:10.1007/s11277-021-08886-2

22. Killi B.R., Rao S.V. Poly-stable matching based scalable controller placement with balancing constraints in SDN. Computer Communications. 2020;154:82‒91. DOI:10.1016/j.comcom.2020.02.053

23. Shi X., Li Y., Xie H., Yang T., Zhang L., Liu P., et al. An OpenFlow-Based Load Balancing Strategy in SDN. Cmc-Computers Materials & Continua. 2020;62(1):385‒398. DOI:10.32604/cmc.2020.06418

24. Eligar V., Lyer N., Nihal N.D., Hugar N.S., Kumar P.Y., Manjunath M.N. Load balancing using OpenDaylight SDN controller: Case study. International Research Journal on Advanced Science Hub. 2020;2(9):59‒64. DOI:10.47392/irjash.2020.149

25. Kaur S., Kumar K., Singh J., Ghumman N.S. Round-robin based load balancing in Software Defined Networking. Proceedings of the 2nd International Conference on Computing for Sustainable Global Development, INDIACom, 11‒13 March 2015, New Delhi, India. IEEE; 2015. p.2136‒2139.

26. Chaudhary R., Kumar N. LOADS: Load Optimization and Anomaly Detection Scheme for Software-Defined Networks. Transactions on Vehicular Technology. 2019;68(12):12329‒12344. DOI:10.1109/TVT.2019.2948222

27. Li G., Gao T., Zhang Z., Chen Y. Fuzzy Logic Load-Balancing Strategy Based on Software-Defined Networking. Proceedings of the 10th International Conference, WiCON 2017, 16‒17 December 2017, Tianjin, China. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. vol.230. Cham: Springer; 2018. p.471–482. DOI:10.1007/978-3-319-90802-1_42

28. Soleimanzadeh K., Ahmadi M., Nassiri M. SD-WLB: An SDN-aided mechanism for web load balancing based on server statistics. ETRI Journal. 2019. DOI:10.4218/etrij.2018-0188

29. Babayigit B., Ulu B. Deep learning for load balancing of SDN-based data center networks. International Journal of Communication Systems. 2021. DOI:10.1002/dac.4760

30. Zhong H., Fang Y., Cui J. Reprint of “LBBSRT: An efficient SDN load balancing scheme based on server response time”. Future Generation Computer Systems. 2017;80:409‒416. DOI:10.1016/j.future.2017.11.012

31. Malavika R., Valarmathi M.L. Load Balancing Based on Closed Loop Control Theory (LBBCLCT): A Software Defined Networking (SDN) powered server load balancing system based on closed loop control theory. Concurrency and Computation: Practice and Experience. 2022. DOI:10.1002/cpe.6854

32. Babbar H., Parthiban S., Radhakrishnan G., Rani S. A genetic load balancing algorithm to improve the QoS metrics for software de-fined networking for multimedia applications. Multimedia Tools and Applications. 2022. DOI:10.1007/s11042021-11467-x

33. Hu T., Yi P., Zhang J., Lan J. Reliable and load balance-aware multi-controller deployment in SDN. China Communications. 2018;15(11):184‒198. DOI:10.1109/CC.2018.8543099

34. Adekoya O., Aneiba A., Patwary M. An Improved Switch Migration Decision Algorithm for SDN Load Balancing. Open Journal of the Communications Society. 2020;1:1602–1613. DOI:10.1109/ojcoms.2020.3028971


Review

For citations:


Dmitrieva J. Comparative Analysis of Network Resource Management Methods in SDN. Proceedings of Telecommunication Universities. 2022;8(1):73-83. (In Russ.) https://doi.org/10.31854/1813-324X-2022-8-1-73-83

Views: 575


Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.


ISSN 1813-324X (Print)
ISSN 2712-8830 (Online)