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

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


研究成果: 雜誌貢獻期刊論文同行評審

1 引文 斯高帕斯(Scopus)


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.

頁(從 - 到)3882-3893
期刊IEEE Systems Journal
出版狀態已發佈 - 2022 9月 1

ASJC Scopus subject areas

  • 控制與系統工程
  • 資訊系統
  • 電腦科學應用
  • 電腦網路與通信
  • 電氣與電子工程


深入研究「An FPGA-Assisted Intelligent QoS Management System for Local Area Networks」主題。共同形成了獨特的指紋。