Closed-Form Expression For The Resources Dimensioning of Softwarized Network Services

Johnny Prados Garzon; Tarik Taleb; Oussama El Marai; Miloud Bagaa

doi:10.1109/GLOBECOM38437.2019.9013963

Closed-Form Expression For The Resources Dimensioning of Softwarized Network Services

Johnny Prados Garzon, Tarik Taleb, Oussama El Marai, Miloud Bagaa

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

19 Downloads (Pure)

Abstract

Network Function Virtualization ecosystem enables the automation of deployment and scaling of softwarized network services (SNSs), thus reducing their operational expenditures. This enables operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. However, to realize the automation of such management practices, it is needed to determine the amount of required resources to allocate the SNS so that its performance requirements are met. This problem is commonly referred to as resources dimensioning problem. In this paper, we address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency. The performance requirement considered for the SNS is a limit on its mean response time. The performance model considered for the SNS is practical and accurate. The usefulness of the derived closed-form expression is successfully validated by means of simulation. The scenario considered for the validation is a video optimization chain located at the SGi-LAN of a mobile network. © 2019 IEEE.

Original language	English
Title of host publication	IEEE Global Communications Conference
Publisher	IEEE
ISBN (Electronic)	978-1-7281-0962-6
DOIs	https://doi.org/10.1109/GLOBECOM38437.2019.9013963
Publication status	Published - 2019
MoE publication type	A4 Article in a conference publication
Event	IEEE Global Communications Conference - Waikoloa, United States Duration: 9 Dec 2019 → 13 Dec 2019

Publication series

Name	IEEE Global Communications Conference
ISSN (Print)	2334-0983

Conference

Conference	IEEE Global Communications Conference
Abbreviated title	GLOBECOM
Country	United States
City	Waikoloa
Period	09/12/2019 → 13/12/2019

Access to Document

10.1109/GLOBECOM38437.2019.9013963

Prados_Garzon_Closed_form_GlobecomAccepted author manuscript, 662 KB

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Projects

2 Active

CSN: Customized Software Networking across Multiple Administrative Domains

Taleb, T., Maiouak, M., Bagaa, M., Mada, B., El Marai, O., Hellaoui, H., Bekkouche, O., Afolabi, I., Addad, R., Naas, S. & Yang, B.

01/09/2017 → 31/08/2021

Project: Academy of Finland: Other research funding

MATILDA: A Holistic, innovative framework for the design, development and orchestration of 5G-ready applications and network services over sliced programmable infrastructure

Taleb, T., Bagaa, M., Mada, B., El Marai, O., Afolabi, I., Maiouak, M., Prados-Garzon, J., Abada, A. & Boumezer, W.

01/06/2017 → 31/12/2020

Project: EU: Framework programmes funding

Cite this

Prados Garzon, J., Taleb, T., El Marai, O., & Bagaa, M. (2019). Closed-Form Expression For The Resources Dimensioning of Softwarized Network Services. In IEEE Global Communications Conference [9013963] (IEEE Global Communications Conference). IEEE. https://doi.org/10.1109/GLOBECOM38437.2019.9013963

@inproceedings{c6b3473583d5456c82ebb6b25c77e9f8,

title = "Closed-Form Expression For The Resources Dimensioning of Softwarized Network Services",

abstract = "Network Function Virtualization ecosystem enables the automation of deployment and scaling of softwarized network services (SNSs), thus reducing their operational expenditures. This enables operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. However, to realize the automation of such management practices, it is needed to determine the amount of required resources to allocate the SNS so that its performance requirements are met. This problem is commonly referred to as resources dimensioning problem. In this paper, we address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency. The performance requirement considered for the SNS is a limit on its mean response time. The performance model considered for the SNS is practical and accurate. The usefulness of the derived closed-form expression is successfully validated by means of simulation. The scenario considered for the validation is a video optimization chain located at the SGi-LAN of a mobile network. {\textcopyright} 2019 IEEE.",

author = "{Prados Garzon}, Johnny and Tarik Taleb and {El Marai}, Oussama and Miloud Bagaa",

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Closed-Form Expression For The Resources Dimensioning of Softwarized Network Services. / Prados Garzon, Johnny; Taleb, Tarik ; El Marai, Oussama; Bagaa, Miloud.

IEEE Global Communications Conference. IEEE, 2019. 9013963 (IEEE Global Communications Conference).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

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AB - Network Function Virtualization ecosystem enables the automation of deployment and scaling of softwarized network services (SNSs), thus reducing their operational expenditures. This enables operators to handle workload fluctuations, to keep the desired performance, with great agility and reduced costs. However, to realize the automation of such management practices, it is needed to determine the amount of required resources to allocate the SNS so that its performance requirements are met. This problem is commonly referred to as resources dimensioning problem. In this paper, we address the derivation of a closed-form expression for the optimal resources dimensioning of an SNS in terms of cost or energy efficiency. The performance requirement considered for the SNS is a limit on its mean response time. The performance model considered for the SNS is practical and accurate. The usefulness of the derived closed-form expression is successfully validated by means of simulation. The scenario considered for the validation is a video optimization chain located at the SGi-LAN of a mobile network. © 2019 IEEE.

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