Staff View: Efficient Traffic Engineering in an NFV Enabled IoT System†

Efficient Traffic Engineering in an NFV Enabled IoT System†

The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency whe...

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Main Authors:	Nguyen Thi Thuy, Lien, Pham Tuan, Minh
Format:	Article
Language:	English
Published:	MDPI 2020
Subjects:	internet of things vIoT network functions virtualization traffic engineering optimization
Online Access:	https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198
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spelling	oai:localhost:PNK-3972022-08-17T05:54:37Z Efficient Traffic Engineering in an NFV Enabled IoT System† Nguyen Thi Thuy, Lien Pham Tuan, Minh internet of things vIoT network functions virtualization traffic engineering optimization The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency when a plethora of data is generated and proliferated. The adoption of Network Function Virtualization (NFV) technologies within an IoT environment enables a new approach of providing services in a more agile and cost-efficient way. We address the problem of traffic engineering with multiple paths for an NFV enabled IoT system (vIoT), taking into account the fluctuation of traffic volume in various time periods. We first formulate the problem as a mixed linear integer programming model for finding the optimal solution of link-weight configuration and traffic engineering. We then develop heuristic algorithms for a vIoT system with a large number of devices. Our solution enables a controller to adjust a link weight system and update a flow table at an NFV switch for directing IoT traffic through a service function chain in a vIoT system. The evaluation results under both synthetic and real-world datasets of network traffic and topologies show that our approach to traffic engineering with multiple paths remarkably improves several performance metrics for a vIoT system. 2020-06-18T03:13:19Z 2020-06-18T03:13:19Z 2020 Article Working Paper https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198 en application/pdf MDPI
institution	Digital Phenikaa
collection	Digital Phenikaa
language	English
topic	internet of things vIoT network functions virtualization traffic engineering optimization
spellingShingle	internet of things vIoT network functions virtualization traffic engineering optimization Nguyen Thi Thuy, Lien Pham Tuan, Minh Efficient Traffic Engineering in an NFV Enabled IoT System†
description	The Internet of Things (IoT) is increasingly creating new market possibilities in several industries’ sectors such as smart homes, smart manufacturing, and smart cities, to link the digital and physical worlds. A key challenge in an IoT system is to ensure network performance and cost-efficiency when a plethora of data is generated and proliferated. The adoption of Network Function Virtualization (NFV) technologies within an IoT environment enables a new approach of providing services in a more agile and cost-efficient way. We address the problem of traffic engineering with multiple paths for an NFV enabled IoT system (vIoT), taking into account the fluctuation of traffic volume in various time periods. We first formulate the problem as a mixed linear integer programming model for finding the optimal solution of link-weight configuration and traffic engineering. We then develop heuristic algorithms for a vIoT system with a large number of devices. Our solution enables a controller to adjust a link weight system and update a flow table at an NFV switch for directing IoT traffic through a service function chain in a vIoT system. The evaluation results under both synthetic and real-world datasets of network traffic and topologies show that our approach to traffic engineering with multiple paths remarkably improves several performance metrics for a vIoT system.
format	Article
author	Nguyen Thi Thuy, Lien Pham Tuan, Minh
author_facet	Nguyen Thi Thuy, Lien Pham Tuan, Minh
author_sort	Nguyen Thi Thuy, Lien
title	Efficient Traffic Engineering in an NFV Enabled IoT System†
title_short	Efficient Traffic Engineering in an NFV Enabled IoT System†
title_full	Efficient Traffic Engineering in an NFV Enabled IoT System†
title_fullStr	Efficient Traffic Engineering in an NFV Enabled IoT System†
title_full_unstemmed	Efficient Traffic Engineering in an NFV Enabled IoT System†
title_sort	efficient traffic engineering in an nfv enabled iot system†
publisher	MDPI
publishDate	2020
url	https://dlib.phenikaa-uni.edu.vn/handle/PNK/397 https://doi.org/10.3390/s20113198
_version_	1751856307662487552
score	8.891145

Efficient Traffic Engineering in an NFV Enabled IoT System†

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