Multi objective resource optimisation for network function virtualisation requests

Conference paper

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
AuthorsBekhit, Mahmoud, Abolhasan, Mehran, Lipman, Justin, Liu, Ren and Ni, Wei
TypeConference paper
Abstract

Network function vitalization (NFV) as a new research concept, for both academia and industry, faces many challenges to network operators before it can be accepted into mainstream. One challenge addressed in this paper is to find the optimal placement f or a set of incoming requests with VNF service chains to serve in suitable Virtual Machines (VMs) such that a set of conflicting objectives are met. Mainly, focus is placed on maximizing the total saving cost by increasing the total CPU utilization during the processing time and increasing the processing time for every service request in the cloud network. Moreover, we aim to maximize the admitted traffic simultaneously while considering the system constraints. We formulate the problem as a multi-objective optimization problem and use a Resource Utilization Multi-Objective Evolutionary Algorithm based on Decomposition (RU-MOEA/D) algorithm to solve the problem considering the two objectives simultaneously. Extensive simulations are carried out to evaluate the effects of the different network sizes, genetic parameters and the number of server resources on the acceptable ratio of the arrival chains to serve in the available VMs. The empirical results illustrate that the proposed algorithm can solve the problem efficiently and compute the optimal solution for two objectives together within a reasonable running time.

KeywordsNetwork Function Vitalization; CPU utilisation; placement; Network Function Virtual-Resource Allocation; Scheduling; Resource utilization; Multi-Objective Optimization
Year01 Jan 2019
PublisherIEEE Xplore
Digital Object Identifier (DOI)https://doi.org/10.1109/ICSENG.2018.8638192
Web address (URL)https://ieeexplore.ieee.org/document/8638192
Open accessPublished as non-open access
Research or scholarlyResearch
Page range1-7
ISBN978-1-5386-7834-3
Web address (URL) of conference proceedingshttps://ieeexplore.ieee.org/xpl/conhome/8636105/proceeding
Output statusPublished
Publication dates
Online10 Feb 2019
Publication process dates
AcceptedDec 2018
Deposited12 Jun 2024
Additional information

© IEEE, 2018.

Place of publicationAustralia
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