Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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Multi-layer Network Virtualization for QoS Provisioning in Tactical Networks

전술망의 서비스 품질 보장을 위한 다계층 네트워크 가상화 기법

  • Kim, Yohan (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST)) ;
  • An, Namwon (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST)) ;
  • Park, Juman (The 2nd R&D Institute-1st Directorate, Agency for Defense Development(ADD)) ;
  • Park, Chan Yi (The 2nd R&D Institute-1st Directorate, Agency for Defense Development(ADD)) ;
  • Lim, Hyuk (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST))
  • 김요한 (광주과학기술원 전기전자컴퓨터공학부) ;
  • 안남원 (광주과학기술원 전기전자컴퓨터공학부) ;
  • 박주만 (국방과학연구소 제2기술연구본부 1부) ;
  • 박찬이 (국방과학연구소 제2기술연구본부 1부) ;
  • 임혁 (광주과학기술원 전기전자컴퓨터공학부)
  • Received : 2018.01.19
  • Accepted : 2018.07.20
  • Published : 2018.08.05
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Abstract

Tactical networks are evolving into an All-IP based network for network centric warfare(NCW). Owing to the flexibility of IP based network, various military data applications including real-time and multi-media services are being integrated in tactical networks. Because each application has diverse Quality-of-service(QoS) requirements, it is crucial to develop a QoS provisioning method for guaranteeing QoS requirements efficiently. Conventionally, differentiated services(DiffServ) have been used to provide a different level of QoS for traffic flows. However, DiffServ is not designed to guarantee a specific requirement of QoS such as delay, loss, and bandwidth. Therefore, it is not suitable for military applications with a tight bound of QoS requirements. In this paper, we propose a multi-layer network virtualization scheme that allocates traffic flows having different QoS requirements to multiple virtual networks, which are constructed to support different QoS policies such as virtual network functions(VNFs), routing, queueing/active queue management(AQM), and physical layer policy. The experiment results indicate that the proposed scheme achieves lower delays and losses through multiple virtual networks having differentiated QoS policies in comparison with conventional networks.

Keywords

References

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