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
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