Mapping and scheduling of virtual network functions using multi objective optimization algorithm

Book chapter

Gamal, Mahmoud, Abolhasan, Mehran, Jafarizadeh, Saber, Lipman, Justin and Ni, Wei. (2019). Mapping and scheduling of virtual network functions using multi objective optimization algorithm. In In Vo, Nguyen Quoc Bao and Nguyen, Linh Trung (Ed.). Proceedings : 2019 19th International Symposium on Communications and Information Technologies (ISCIT) pp. 328-333 IEEE Xplore. https://doi.org/10.1109/ISCIT.2019.8905113
AuthorsGamal, Mahmoud, Abolhasan, Mehran, Jafarizadeh, Saber, Lipman, Justin and Ni, Wei
EditorsVo, Nguyen Quoc Bao and Nguyen, Linh Trung
Abstract

Within the context of Software-Defined Networking (SDN), the problem of resource allocation for a set of incoming Virtual Network Functions (VNF) service requests has been the focus of many studies. In this paper, a new optimization model has been developed to find the near to optimal mapping and scheduling for the incoming VNF service requests. This model while considering delay, aims to achieve three objectives functions, namely, minimizing the transmission delays occurring in every link, minimizing the processing capacity for every Virtual Machine (VM) and minimizing the processing delay at every VM. The resultant problem is formulated as a multi-objective optimization problem and the developed solution is based on a multi-objective evolutionary algorithm utilizing the decomposition algorithm. Simulation results illustrate that the resulting algorithm is scalable while considering delay and it outperforms the genetic bandwidth link allocation (GA-BA) and genetic non-bandwidth link allocation (GA-NBA) algorithms.

Page range328-333
Year2019
Book titleProceedings : 2019 19th International Symposium on Communications and Information Technologies (ISCIT)
PublisherIEEE Xplore
Place of publicationHo Chi Minh City, Vietnam
ISBN9781728150093
9781728150086
ISSN2643-6175
Digital Object Identifier (DOI)https://doi.org/10.1109/ISCIT.2019.8905113
Scopus EID2-s2.0-85076203263
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online21 Nov 2019
Publication process dates
Deposited17 Mar 2025
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/8896981/proceeding
Permalink -

https://acuresearchbank.acu.edu.au/item/90q1v/mapping-and-scheduling-of-virtual-network-functions-using-multi-objective-optimization-algorithm

Log in to edit

Restricted files

Publisher's version

  • 7
    total views
  • 0
    total downloads
  • 2
    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). Madrid, Spain 04 - 06 Sep 2023 Switzerland: Springer Nature. pp. 405 - 417 https://doi.org/10.1007/978-3-031-35308-6
Multi-objective VNF placement optimization with NSGA-III
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
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
A novel dual prediction scheme for data communication reduction in IoT-based monitoring systems
Fathalla, Ahmed, Salah, Ahmad, Mohamed, Mohamed, Lestari, Nur Indah and Bekhit, Mahmoud. (2021). A novel dual prediction scheme for data communication reduction in IoT-based monitoring systems. Switzerland: Springer Nature. pp. 208 - 220 https://doi.org/10.1007/978-3-030-95987-6_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