@inproceedings{f6ea1fae3fab41f8a33eefc9c6d5afcd,
title = "Multi-objective VNF Placement Optimization with NSGA-III",
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.",
keywords = "Multi-objective optimization, NSGA-III, Optimization algorithms, Resource allocation, VNF scheduling and mapping",
author = "Mahmoud Bekhit and Ahmed Fathalla and Esraa Eldesouky and Ahmad Salah",
note = "Publisher Copyright: {\textcopyright} 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.; 1st International Conference on Advances in Computing Research, ACR{\textquoteright}23 ; Conference date: 08-05-2023 Through 10-05-2023",
year = "2023",
doi = "10.1007/978-3-031-33743-7\_39",
language = "English",
isbn = "9783031337420",
series = "Lecture Notes in Networks and Systems",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "481--493",
editor = "Kevin Daimi and \{Al Sadoon\}, Abeer",
booktitle = "Proceedings of the 2023 International Conference on Advances in Computing Research (ACR{\textquoteright}23)",
address = "Germany",
}