University of Oulu

Walia, J.S.; Hämmäinen, H.; Kilkki, K.; Flinck, H.; Yrjölä, S.; Matinmikko-Blue, M. A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory. J. Sens. Actuator Netw. 2021, 10, 51. https://doi.org/10.3390/jsan10030051

A virtualization infrastructure cost model for 5g network slice provisioning in a smart factory

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Author: Walia, Jaspreet Singh1; Hämmäinen, Heikki1; Kilkki, Kalevi1;
Organizations: 1Department of Communications and Networking, Aalto University, 02150 Espoo, Finland
2Nokia Bell Labs, 02610 Espoo, Finland
3Nokia, 90650 Oulu, Finland
4Centre for Wireless Communications, University of Oulu, 90570 Oulu, Finland
Format: article
Version: published version
Access: open
Online Access: PDF Full Text (PDF, 3.4 MB)
Persistent link: http://urn.fi/urn:nbn:fi-fe2021100149100
Language: English
Published: Multidisciplinary Digital Publishing Institute, 2021
Publish Date: 2021-10-01
Description:

Abstract

Network slicing is a key enabler for providing new services to industry verticals. In order to enable network slice provisioning, it is important to study the network slice type allocation for different device types in a real industrial case. Furthermore, the costs of the required virtualization infrastructure need to be analyzed for various cloud deployment scenarios. In this paper, a cost model for the virtualization infrastructure needed for network slice provisioning is developed and subsequently applied to a real smart factory. In the model, slice types and devices are mapped such that each factory device is provisioned with one or more slice types, as required. The number of devices to be supported per slice type is forecasted for 2021–2030, and the total costs of ownership, costs per slice type, and costs for every slice type, for each device are calculated. The results are analyzed for three cloud deployment scenarios: local, distributed, and centralized. The centralized scenario was found to have the lowest cost. Moreover, sensitivity analysis is conducted by varying the device growth, the number of factories, the level of isolation between network slices, and resource overbooking. The resulting evaluation and cost breakdown can help stakeholders select a suitable deployment scenario, gauge their investments, and exercise suitable pricing.

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Series: Journal of sensor and actuator networks
ISSN: 2224-2708
ISSN-E: 2224-2708
ISSN-L: 2224-2708
Volume: 10
Issue: 3
Article number: 51
DOI: 10.3390/jsan10030051
OADOI: https://oadoi.org/10.3390/jsan10030051
Type of Publication: A1 Journal article – refereed
Field of Science: 213 Electronic, automation and communications engineering, electronics
Subjects:
5G
Funding: This research was supported and funded by Business Finland in the 5G VIIMA project (grant no. 6430/31/2018).
Copyright information: © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
  https://creativecommons.org/licenses/by/4.0/