A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory
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 inf...
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doaj-0fc79a3e57574923ae694c1556747af72021-09-26T00:32:46ZengMDPI AGJournal of Sensor and Actuator Networks2224-27082021-07-0110515110.3390/jsan10030051A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart FactoryJaspreet Singh Walia0Heikki Hämmäinen1Kalevi Kilkki2Hannu Flinck3Seppo Yrjölä4Marja Matinmikko-Blue5Department of Communications and Networking, Aalto University, 02150 Espoo, FinlandDepartment of Communications and Networking, Aalto University, 02150 Espoo, FinlandDepartment of Communications and Networking, Aalto University, 02150 Espoo, FinlandNokia Bell Labs, 02610 Espoo, FinlandNokia, 90650 Oulu, FinlandCentre for Wireless Communications, University of Oulu, 90570 Oulu, FinlandNetwork 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.https://www.mdpi.com/2224-2708/10/3/515Gindustry verticalssmart factorynetwork slicingcost modelvirtualization infrastructure |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jaspreet Singh Walia Heikki Hämmäinen Kalevi Kilkki Hannu Flinck Seppo Yrjölä Marja Matinmikko-Blue |
spellingShingle |
Jaspreet Singh Walia Heikki Hämmäinen Kalevi Kilkki Hannu Flinck Seppo Yrjölä Marja Matinmikko-Blue A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory Journal of Sensor and Actuator Networks 5G industry verticals smart factory network slicing cost model virtualization infrastructure |
author_facet |
Jaspreet Singh Walia Heikki Hämmäinen Kalevi Kilkki Hannu Flinck Seppo Yrjölä Marja Matinmikko-Blue |
author_sort |
Jaspreet Singh Walia |
title |
A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory |
title_short |
A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory |
title_full |
A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory |
title_fullStr |
A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory |
title_full_unstemmed |
A Virtualization Infrastructure Cost Model for 5G Network Slice Provisioning in a Smart Factory |
title_sort |
virtualization infrastructure cost model for 5g network slice provisioning in a smart factory |
publisher |
MDPI AG |
series |
Journal of Sensor and Actuator Networks |
issn |
2224-2708 |
publishDate |
2021-07-01 |
description |
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. |
topic |
5G industry verticals smart factory network slicing cost model virtualization infrastructure |
url |
https://www.mdpi.com/2224-2708/10/3/51 |
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