Efficient Traffic Engineering in an NFV Enabled IoT System

Sensors
Thi-Thuy-Lien Nguyen, Tuan-Minh Pham

Abstract

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 ...Continue Reading

References

May 20, 2015·Journal of Family & Community Medicine·Ameel F Al-Shawi, Riyadh K Lafta

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Citations

Jul 2, 2020·Sensors·Alejandro Molina ZarcaAntonio F Skarmeta

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Software Mentioned

vIoT
COM
CPLEX
NFV
TrafficDecision
Throttle
NFVnice
vIoT Management and Orchestration ( MANO
MP
FNSS

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