Multi-objective VNF placement optimization with NSGA-III

Conference paper

Bekhit, Mahmoud, Fathalla, Ahmed, Eldesouky, Esraa and Salah, Ahmad. (2023). Multi-objective VNF placement optimization with NSGA-III. 2023 International conference on advances in computing research (ACR'23). Switzerland: Springer Nature. pp. 481 - 493 https://doi.org/10.1007/978-3-031-33743-7_39
AuthorsBekhit, Mahmoud, Fathalla, Ahmed, Eldesouky, Esraa and Salah, Ahmad
TypeConference paper
Abstract

With the rising acceptance of virtual network functions (VNFs) as a replacement for traditional network functions, the optimal placement of VNFs has become a crucial task for ensuring constant performance within constrained resources. This research investigates the challenge of mapping and scheduling VNFs as a multi-objective optimization problem. The state-of-the-art methods have focused on optimizing the mapping or scheduling of VNFs while considering one or two objectives continuously. In this study, we aim to optimize two objectives: minimizing the link capacity cost and maximizing the average resource utilization of each virtual machine. To address this problem, an adaptation of the NSGA-III optimization algorithm is proposed and thoroughly evaluated through a set of experiments. In terms of objective values, the results outlined that the proposed method outperformed the other methods of comparison by a significant margin.

Keywordsmulti-objective optimization; NSGA-III; optimization algorithms; VNF scheduling and mapping; resource allocation
Year01 Jan 2023
PublisherSpringer Nature
Digital Object Identifier (DOI)https://doi.org/10.1007/978-3-031-33743-7_39
Web address (URL)https://link.springer.com/chapter/10.1007/978-3-031-33743-7_39
Open accessPublished as non-open access
Research or scholarlyResearch
Publisher's version
License
All rights reserved
File Access Level
Controlled
Book titleProceedings of the 2023 International Conference on Advances in Computing Research (ACR’23)
Page range481 - 493
Book editorDaimi, Kevin
Al Sadoon, Abeer
ISBN978-3-031-33743-7
Output statusPublished
Publication dates
Online27 May 2023
Publication process dates
Deposited04 Sep 2024
Additional information

© 2023 The Author(s), under exclusive license to Springer Nature Switzerland AG

Place of publicationSwitzerland
Permalink -

https://acuresearchbank.acu.edu.au/item/90q11/multi-objective-vnf-placement-optimization-with-nsga-iii

Log in to edit

Restricted files

Publisher's version

  • 3
    total views
  • 0
    total downloads
  • 3
    views this month
  • 0
    downloads this month
These values are for the period from 19th October 2020, when this repository was created.

Export as

Related outputs

Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm
Thien, Phan Duc, Wu, Fan, Bekhit, Mahmoud, Fathalla, Ahmed and Salah, Ahmed. (2024). Optimizing Placement and Scheduling for VNF by a Multi-objective Optimization Genetic Algorithm. International Journal of Computational Intelligence Systems. 17(1), pp. 1-18. https://doi.org/10.1007/s44196-024-00430-x
A Survey of Trendy Financial Sector Applications of Machine and Deep Learning
Lestari, Nur Indah, Hussain, Walayat, Merigo, Jose and Bekhit, Mahmoud. (2023). A Survey of Trendy Financial Sector Applications of Machine and Deep Learning. Second EAI International Conference, BigIoT-EDU 2022. Switzerland: Springer Nature. pp. 619-633 https://doi.org/10.1007/978-3-031-23944-1_68
Heterogeneous transfer learning in structural health monitoring for high rise structures
Anaissi, Ali, D’souza, Kenneth, Suleiman, Basem, Bekhit, Mahmoud and Alyassine, Widad. (2023). Heterogeneous transfer learning in structural health monitoring for high rise structures. Second international conference on innovations in computing research (ICR'23). Switzerland: Springer Nature. pp. 405 - 417 https://doi.org/10.1007/978-3-031-35308-6
Comparing Ensemble Learning Techniques on Data Transmission Reduction for IoT Systems
Salah, Ahmad, Bekhit, Mahmoud, M. Alkalbani, Asma, Mohamed, Mohamed, Lestari, Nur Indah and Fathalla, Ahmed. (2023). Comparing Ensemble Learning Techniques on Data Transmission Reduction for IoT Systems. Switzerland: Springer Nature. pp. 72-85 https://doi.org/10.1007/978-3-031-33743-7_6
Price Prediction of Seasonal Items Using Time Series Analysis
Salah, Ahmed, Bekhit, Mahmoud, Eldesouky, Esraa, Ali, Ahmed and Fathalla, Ahmed. (2023). Price Prediction of Seasonal Items Using Time Series Analysis. Computer Systems Science and Engineering. 46(1), pp. 445-460. https://doi.org/10.32604/csse.2023.035254
Real-time and automatic system for performance evaluation of karate skills using motion capture sensors and continuous wavelet transform
Fathalla, Ahmed, Salah, Ahmad, Bekhit, Mahmoud, Eldesouky, Esraa, Talha, Ahmed, Zenhom, Abdalla and Ali, Ahmed. (2023). Real-time and automatic system for performance evaluation of karate skills using motion capture sensors and continuous wavelet transform. International Journal of Intelligent Systems. 2023, pp. 1-11. https://doi.org/10.1155/2023/1561942
An adaptive jellyfish search algorithm for packing items with conflict
El-Ashmawi, Walaa H., Salah, Ahmed, Bekhit, Mahmoud, Xiao, Guoqing, Al Ruqeishi, Khalil and Fathalla, Ahmed. (2023). An adaptive jellyfish search algorithm for packing items with conflict. Mathematics. 11(14), pp. 1-28. https://doi.org/10.3390/math11143219
A Survey of Trendy Financial Sector Applications of Machine and Deep Learning
Lestari, Nur Indah, Hussain, Walayat, Merigo, Jose and Bekhit, Mahmoud. (2023). A Survey of Trendy Financial Sector Applications of Machine and Deep Learning. Second EAI International Conference, BigIoT-EDU 2022. Virtual Event 29 - 31 Jul 2022 Switzerland: Springer. pp. 619-633 https://doi.org/10.1007/978-3-031-23944-1
A survey on deep learning architectures in human activities recognition application in sports science, healthcare, and security
Adel, Basant, Badran, Asmaa, Elshami, Nada, Salah, Ahmad, Fathalla, Ahmed and Bekhit, Mahmoud. (2022). A survey on deep learning architectures in human activities recognition application in sports science, healthcare, and security. ICR 2022 International Conference on Innovations in Computing Research. Athens, Greece 29 - 31 Aug 2022 Switzerland: Springer Nature. pp. 121 - 134 https://doi.org/10.1007/978-3-031-14054-9_13
Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization
Bekhit, Mahmoud and Alsadoon, Abeer. (2022). Data Security in Hybrid Cloud Computing Using AES Encryption for Health Sector Organization. 7th International Conference on Innovative Technologies in Intelligent Systems and Industrial Applications, (CITISIA). Sydney, Australia 14 - 16 Nov 2022 Switzerland: Springer Nature. pp. 155-167 https://doi.org/10.1007/978-3-031-29078-7_15
Machine learning and deep learning for predicting indoor and outdoor IoT temperature monitoring systems
Lestari, Nur Indah, Bekhit, Mahmoud, Mohamed, Mohamed, Fathalla, Ahmed and Salah, Ahmad. (2021). Machine learning and deep learning for predicting indoor and outdoor IoT temperature monitoring systems. IoT as a service 7th EAI international conference, IoTaas 2021. Sydney Australia 13 - 14 Dec 2021 Switzerland: Springer Nature. pp. 185 - 197 https://doi.org/10.1007/978-3-030-95987-6_13
A robust UWSN handover prediction system using ensemble learning
Eldesouky, Esraa, Bekhit, Mahmoud, Fathalla, Ahmed, Salah, Ahmed and Ali, Ahmed. (2021). A robust UWSN handover prediction system using ensemble learning. Sensors. 21(17), pp. 1-16. https://doi.org/10.3390/s21175777
Marine data prediction : An evaluation of machine learning, deep learning, and statistical predictive models
Ali, Ahmed, Fathalla, Ahmed, Salah, Ahmad, Bekhit, Mahmoud and Eldesouky, Esraa. (2021). Marine data prediction : An evaluation of machine learning, deep learning, and statistical predictive models. Computational Intelligence and Neuroscience  (Delisted by Scopus/WOS as a paper mill). 2021, pp. 1-13. https://doi.org/10.1155/2021/8551167
Multi objective resource optimisation for network function virtualisation requests
Bekhit, Mahmoud, Abolhasan, Mehran, Lipman, Justin, Liu, Ren and Ni, Wei. (2019). Multi objective resource optimisation for network function virtualisation requests. 26th International Conference on Systems Engineering (ICSEng). University of Technology Sydney, Australia 18 - 20 Dec 2018 Australia: IEEE Xplore. pp. 1-7 https://doi.org/10.1109/ICSENG.2018.8638192
Multi-objective transmitters placement problem in wireless networks
Gamal, Mahmoud, Morsy, Ehab and Fathy, Ahmed. (2015). Multi-objective transmitters placement problem in wireless networks. SoICT: Information and Communication Technology . Vietnam: Association for Computing Machinery. pp. 156 - 162 https://doi.org/10.1145/2833258.2833286
Multi-objective nodes placement problem in large regions wireless networks
Bekhit, Mahmoud, Morsy, Ehab and Salah, Ahmad. (2014). Multi-objective nodes placement problem in large regions wireless networks. 4th international conference on electronic, communications and networks (CECNet2014). Beijing, China 12 - 15 Dec 2014 China: CRC Press. pp. 61 - 66