Optimised adaptive load balancing method in SDN networks using the adaptive ANT colony approach
dc.citation.epage | 66 | |
dc.citation.issue | 4 | |
dc.citation.journalTitle | Вимірювальна техніка та метрологія | |
dc.citation.spage | 62 | |
dc.contributor.affiliation | NTUU “Igor Sikorsky Kyiv Polytechnic Institute” | |
dc.contributor.affiliation | King Saud University | |
dc.contributor.author | Shchur, Vadym | |
dc.contributor.author | AlZubi, Ahmad Ali | |
dc.coverage.placename | Львів | |
dc.coverage.placename | Lviv | |
dc.date.accessioned | 2024-04-03T07:16:38Z | |
dc.date.available | 2024-04-03T07:16:38Z | |
dc.date.created | 2023-03-01 | |
dc.date.issued | 2023-03-01 | |
dc.description.abstract | In modern software-defined networks, providing efficient load balancing is a crucial task for optimal resource utilization and ensuring stable quality of service. To achieve these goals, in this paper, we propose a new innovative loadbalancing method for SDN networks based on an anticolonial approach with dynamic parameter settings. This proposed method demonstrates high efficiency in the face of variable network dynamics and diverse node loads. Its main advantage is the ability to adapt to changing load and traffic conditions in real-time. The algorithm continuously analyses the load on the nodes and dynamically adjusts the weighting factors to ensure optimal traffic distribution. The proposed method stands out due to its ability to effectively maintain load balance under a variety of calls and loads, making it a powerful tool for ensuring reliability and performance in networks. | |
dc.format.extent | 62-66 | |
dc.format.pages | 5 | |
dc.identifier.citation | Shchur V. Optimised adaptive load balancing method in SDN networks using the adaptive ANT colony approach / Vadym Shchur, Ahmad Ali AlZubi // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 4. — P. 62–66. | |
dc.identifier.citationen | Shchur V. Optimised adaptive load balancing method in SDN networks using the adaptive ANT colony approach / Vadym Shchur, Ahmad Ali AlZubi // Measuring Equipment and Metrology. — Lviv : Lviv Politechnic Publishing House, 2023. — Vol 84. — No 4. — P. 62–66. | |
dc.identifier.doi | doi.org/10.23939/istcmtm2023.04.062 | |
dc.identifier.uri | https://ena.lpnu.ua/handle/ntb/61621 | |
dc.language.iso | en | |
dc.publisher | Видавництво Львівської політехніки | |
dc.publisher | Lviv Politechnic Publishing House | |
dc.relation.ispartof | Вимірювальна техніка та метрологія, 4 (84), 2023 | |
dc.relation.ispartof | Measuring Equipment and Metrology, 4 (84), 2023 | |
dc.relation.references | [1] A. Garcia-Saavedra, P. Serrano, A. Banchs, X. CostaPerez, "Machine learning for network automation: Overview, architecture, and applications," IEEE Communications Magazine, vol. 56, no. 3, pp. 11–17, 2018. DOI: 10.1109/MCOM.2018.1700980. | |
dc.relation.references | [2] L. Tang, S. Han, H. Zhang, and M. Gerla, "Resilient SDN traffic engineering: A survey," IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2682–2706, 2016. DOI: 10.1109/COMST.2016.2581599. | |
dc.relation.references | [3] M. Dorigo, V. Maniezzo, and A. Colorni, "Ant system: optimization by a colony of cooperating agents," IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 26, no. 1, pp. 29-41, 1996. DOI: 10.1109/3477.484436. | |
dc.relation.references | [4] M.saied, S. Saha, I. Sayem. (2022). A Comparative Study on Load Balancing Techniques in Software Defined Networks, January 2022, DOI:10.35444/IJANA.2022.13401 | |
dc.relation.references | [5] Ghorbani, S., Sama, M. R. B., & Abolhasani, M. (2015). An efficient load balancing algorithm for software-defined networking. In Proceedings of the 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (pp. 80-85). https://www.researchgate.net/publication/329144198_Efficient_load_balancing_algorithm_in_cloud_computing. | |
dc.relation.references | [6] Chen, C. C., Chen, M. (2015). A weighted round-robin algorithm for software-defined networking. In Proceedings of the 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (pp. 138–143). https://www.springerprofessional.de/en/weighted-roundrobin-load-balancing-algorithm-for-softwaredefin/16887408 | |
dc.relation.references | [7] Bari, M. F., Boutaba, R., Esteves, R., Granville, L. Z., Podlesny, M., Rabbani, G., & Zhang, Q. (2013). Data center network virtualization: A survey. IEEE Communications Surveys & Tutorials, 15(3), 1614–1634 https://www.academia.edu/26829535/Data_Center_Network_Virtualization_A_Survey | |
dc.relation.references | [8] Y. Tao et al, A Mobile Service Robot Global Path Planning Method Based on Ant Colony Optimization and Fuzzy Control, Appl. Sci. 2021, 11(8), 3605; https://doi.org/10.3390/app11083605 | |
dc.relation.references | [9] R. Mehmood, F. Ahmed, "Enhanced dynamic ant colony load balancing algorithm for SDN," Journal of Ambient Intelligence and Humanized Computing, vol. 11, pp. 5907–5921, 2020. DOI: 10.1007/s12652-020-01906-4. | |
dc.relation.referencesen | [1] A. Garcia-Saavedra, P. Serrano, A. Banchs, X. CostaPerez, "Machine learning for network automation: Overview, architecture, and applications," IEEE Communications Magazine, vol. 56, no. 3, pp. 11–17, 2018. DOI: 10.1109/MCOM.2018.1700980. | |
dc.relation.referencesen | [2] L. Tang, S. Han, H. Zhang, and M. Gerla, "Resilient SDN traffic engineering: A survey," IEEE Communications Surveys & Tutorials, vol. 18, no. 4, pp. 2682–2706, 2016. DOI: 10.1109/COMST.2016.2581599. | |
dc.relation.referencesen | [3] M. Dorigo, V. Maniezzo, and A. Colorni, "Ant system: optimization by a colony of cooperating agents," IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics), vol. 26, no. 1, pp. 29-41, 1996. DOI: 10.1109/3477.484436. | |
dc.relation.referencesen | [4] M.saied, S. Saha, I. Sayem. (2022). A Comparative Study on Load Balancing Techniques in Software Defined Networks, January 2022, DOI:10.35444/IJANA.2022.13401 | |
dc.relation.referencesen | [5] Ghorbani, S., Sama, M. R. B., & Abolhasani, M. (2015). An efficient load balancing algorithm for software-defined networking. In Proceedings of the 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (pp. 80-85). https://www.researchgate.net/publication/329144198_Efficient_load_balancing_algorithm_in_cloud_computing. | |
dc.relation.referencesen | [6] Chen, C. C., Chen, M. (2015). A weighted round-robin algorithm for software-defined networking. In Proceedings of the 2015 IEEE/ACM 8th International Conference on Utility and Cloud Computing (pp. 138–143). https://www.springerprofessional.de/en/weighted-roundrobin-load-balancing-algorithm-for-softwaredefin/16887408 | |
dc.relation.referencesen | [7] Bari, M. F., Boutaba, R., Esteves, R., Granville, L. Z., Podlesny, M., Rabbani, G., & Zhang, Q. (2013). Data center network virtualization: A survey. IEEE Communications Surveys & Tutorials, 15(3), 1614–1634 https://www.academia.edu/26829535/Data_Center_Network_Virtualization_A_Survey | |
dc.relation.referencesen | [8] Y. Tao et al, A Mobile Service Robot Global Path Planning Method Based on Ant Colony Optimization and Fuzzy Control, Appl. Sci. 2021, 11(8), 3605; https://doi.org/10.3390/app11083605 | |
dc.relation.referencesen | [9] R. Mehmood, F. Ahmed, "Enhanced dynamic ant colony load balancing algorithm for SDN," Journal of Ambient Intelligence and Humanized Computing, vol. 11, pp. 5907–5921, 2020. DOI: 10.1007/s12652-020-01906-4. | |
dc.relation.uri | https://www.researchgate.net/publication/329144198_Efficient_load_balancing_algorithm_in_cloud_computing | |
dc.relation.uri | https://www.springerprofessional.de/en/weighted-roundrobin-load-balancing-algorithm-for-softwaredefin/16887408 | |
dc.relation.uri | https://www.academia.edu/26829535/Data_Center_Network_Virtualization_A_Survey | |
dc.relation.uri | https://doi.org/10.3390/app11083605 | |
dc.rights.holder | © Національний університет “Львівська політехніка”, 2023 | |
dc.subject | software-defined networking | |
dc.subject | load balancing | |
dc.subject | SDN networks | |
dc.subject | adaptive anticolonial method | |
dc.subject | dynamic parameter adjustment | |
dc.title | Optimised adaptive load balancing method in SDN networks using the adaptive ANT colony approach | |
dc.type | Article |
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