An FPGA-Assisted Intelligent QoS Management System for Local Area Networks

Wei Chen Shang, Wen Jyi Hwang, Tsung Ming Tai, Yun Jie Jhang

Research output: Contribution to journalArticlepeer-review

1 Citation (Scopus)

Abstract

This article presents a novel intelligent quality of service (QoS) management system for local area networks (LANs). The QoS management is based on service quality prediction, which is carried out by general regression neural network algorithm with a profile containing the past records of the services. A novel fast computation scheme is proposed to reduce the search space for finding the optimal bandwidth allocation without degrading the performance of the QoS management. To further reduce the computation time, a hardware implementation of the proposed algorithm based on field-programmable gate array (FPGA) is also presented. The FPGA architecture is served as an accelerator to a system on a chip in a real LAN for performance evaluation. The experiment results reveal that the proposed algorithm provides reliable QoS management for LAN applications with low computational overhead and accurate network resource allocation.

Original languageEnglish
Pages (from-to)3882-3893
Number of pages12
JournalIEEE Systems Journal
Volume16
Issue number3
DOIs
Publication statusPublished - 2022 Sep 1

Keywords

  • Field-programmable gate array (FPGA)
  • local area networks (LANs)
  • neural networks
  • quality of service (QoS)

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Information Systems
  • Computer Science Applications
  • Computer Networks and Communications
  • Electrical and Electronic Engineering

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