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Summary
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Network Function Virtualization (NFV) optimizes Internet of Things (IoT) traffic management. This study introduces multi-path traffic engineering for NFV-enabled IoT systems, improving network performance and cost-efficiency.

Keywords:
internet of thingsnetwork functions virtualizationoptimizationtraffic engineeringvIoT

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Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • The Internet of Things (IoT) connects physical and digital worlds, creating market opportunities in smart homes, manufacturing, and cities.
  • Managing the vast data generated by IoT systems presents challenges in network performance and cost-efficiency.
  • Network Function Virtualization (NFV) offers a flexible and cost-effective approach to service delivery in IoT environments.

Purpose of the Study:

  • To address traffic engineering challenges in NFV-enabled IoT (vIoT) systems with fluctuating traffic volumes.
  • To develop an optimal link-weight configuration and traffic engineering strategy for vIoT systems.
  • To enhance network performance and cost-efficiency in vIoT environments.

Main Methods:

  • Formulated the traffic engineering problem as a mixed linear integer programming model.
  • Developed heuristic algorithms for large-scale vIoT systems.
  • Implemented a controller to adjust link weights and update flow tables for directing IoT traffic through service function chains.

Main Results:

  • The proposed multi-path traffic engineering approach significantly improves key performance metrics in vIoT systems.
  • Evaluations using synthetic and real-world datasets validate the effectiveness of the solution.
  • The system demonstrated enhanced network performance and cost-efficiency for directing IoT traffic.

Conclusions:

  • Multi-path traffic engineering is a viable solution for optimizing NFV-enabled IoT systems.
  • The developed algorithms provide an effective method for managing dynamic IoT traffic.
  • This research contributes to more agile and cost-efficient IoT service delivery.