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

  • 제22권3호
  • /
  • Pages.369-381
  • /
  • 2019
  • /
  • 1598-9127(pISSN)
  • /
  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
권호 표지
DOI QR코드

DOI QR Code

미래 전술망의 지능적 트래픽 QoS 조율을 위한 전술 서비스 메쉬

Tactical Service Mesh for Intelligent Traffic QoS Coordination over Future Tactical Network

  • 강문중 (광주과학기술원 전기전자컴퓨터공학부) ;
  • 신준식 (광주과학기술원 전기전자컴퓨터공학부) ;
  • 박주만 (국방과학연구소 제2기술연구본부) ;
  • 박찬이 (국방과학연구소 제2기술연구본부) ;
  • 김종원 (광주과학기술원 전기전자컴퓨터공학부)
  • Kang, Moonjoong (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST)) ;
  • Shin, Jun-Sik (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST)) ;
  • Park, Juman (The 2nd Research and Development Institute, Agency for Defense Development(ADD)) ;
  • Park, Chan Yi (The 2nd Research and Development Institute, Agency for Defense Development(ADD)) ;
  • Kim, JongWon (School of Electrical Engineering and Computer Science, Gwangju Institute of Science and Technology(GIST))
  • 투고 : 2019.01.31
  • 심사 : 2019.05.24
  • 발행 : 2019.06.05
PDF 다운로드
⟨ 이전 논문 다음 논문 ⟩

초록

As tactical networks are gradually shifting toward IP-based flexible operation for diversified battlefield services, QoS(Quality-of-Service) coordination for service differentiation becomes essential to overcome the heterogeneous and scarce networking resources limitations. QoS coordination for tactical network traffic should be able to monitor and react the dynamic changes in underlying network topology and service priorities. In this paper, by adopting the emerging cloud-native service mesh concept into tactical network context, we study the feasibility of intelligent QoS coordination by employing tactical service mesh(TSM) as an additional layer to support enhanced traffic quality monitoring and control. The additional TSM layer can leverage distributed service-mesh proxies at tactical mesh WAN(Wide Area Network) nodes so that service-aware differentiated QoS coordination can be effectively designed and integrated with TSM-assisted traffic monitoring and control. Also, by validating the feasibility of TSM layer for QoS coordination with miniaturized experimental setup, we show the potential of the proposed approach with several approximated battlefield traffics over a simulated TSM-enabled tactical network.

키워드

GSGGBW_2019_v22n3_369_f0001.png 이미지

Fig. 1. Tactical networks from soldier’s viewpoint[2]

GSGGBW_2019_v22n3_369_f0002.png 이미지

Fig. 2. Tactical WAN and LAN

GSGGBW_2019_v22n3_369_f0003.png 이미지

Fig. 3. Intelligent QoS coordination with traffic QoS monitor & control for tactical network

GSGGBW_2019_v22n3_369_f0004.png 이미지

Fig. 4. Intelligent QoS coordination with TSM layer, dedicated for QoS monitoring/control planes

GSGGBW_2019_v22n3_369_f0005.png 이미지

Fig. 5. Tactical mesh WAN node

GSGGBW_2019_v22n3_369_f0006.png 이미지

Fig. 6. Implementation and environment configuration for TSM-ready QoS monitoring

GSGGBW_2019_v22n3_369_f0007.png 이미지

Fig. 7. Visualization of service-aware traffic QoS monitoring data collected by TSM

GSGGBW_2019_v22n3_369_f0008.png 이미지

Fig. 8. Implementation and environment configuration for TSM-ready QoS control

GSGGBW_2019_v22n3_369_f0009.png 이미지

Fig. 9. Verification scenario for traffic conditioning of service traffic by TSM

GSGGBW_2019_v22n3_369_f0010.png 이미지

Fig. 10. Visualization of traffic QoS monitoring data before/after traffic conditioning by TSM

GSGGBW_2019_v22n3_369_f0011.png 이미지

Fig. 11. Verification scenario for differentiated routing/forwarding by TSM

GSGGBW_2019_v22n3_369_f0012.png 이미지

Fig. 12. Differentiated routing/forwarding only for specific “jason” by TSM

참고문헌

  1. A. K. Cebrowski and J. J. Garstka, "Network-Centric Warfare: Its Origin and Future," US Naval Institute Proceedings Magazine, Vol. 124, No. 1, pp. 28-35, 1998.
  2. General Dynamics., "WIN-T The Mobile, Expeditionary Soldier's Network," WIN-T Program Report, March, 2017.
  3. V. T. S. Shi, "Evaluating the Performability of Tactical Communications Networks," IEEE Transactions on Vehicular Technology, Vol. 53, No. 1, pp. 253-260, 2004. https://doi.org/10.1109/TVT.2003.819809
  4. S. Wang et al., "QoS Management In Disadvantaged Tactical Environments," In Proc. of Military Communications Conference 2007(MILCOM 2007), 2007. 10.
  5. P. Marshall, "DARPA Progress Towards Affordable, Dense, and Content Focused Tactical Edge Networks," In Proc. Military Communications Conference 2008 (MILCOM 2008), 2008. 11.
  6. O. Cengiz, "Adaptive, Tactical Mesh Networking Control base MANET Model," M.S. Thesis, Dept. of Info. Sci. Naval Postgraduate School, Monterey, California, 2010. Accessed on Apr. 01, 2019. [Online]. Available: https://apps.dtic.mil/dtic/tr/fulltext/u2/a531508.pdf
  7. A. Kantawala et al., "QoS Architecture for Session Oriented GIG Applications," In Proc. of 2006 IEEE Aerospace Conference, 2006. 3.
  8. D. Francesco et al., "Migrating Towards Microservice Architectures: An Industrial Survey," In Proc. of 2018 IEEE International Conference on Software Architecture(ICSA 2018), pp. 29-39, 2018.
  9. N. Kratzke, "About Microservices, Containers and Their Underestimated Impact on Network Performance," In Proc. of 6th International Conference on Cloud Computing(CLOUD COMPUTING 2015), 2015.
  10. M. Klein, "Lyft's Envoy: Experiences Operating a Large Service Mesh," Site Reliability Engineering Conference(SRECon) 17 America, 2017. [Online]. Available: https://www.usenix.org/sites/default/files/conference/protected-files/srecon17americas_slides_klein.pdf. [Accessed Jan. 03, 2019].
  11. F. Moyer, "Comprehensive Container Based Service Monitoring with Kubernetes and Istio," Site Reliability Engineering Conference(SRECon) 18 Asia, 2018. [Online]. Available: https://www.usenix.org/sites/default/files/conference/protected-files/srecon18asia_slides_moyer.pdf. [Accessed Jan. 03, 2019].
  12. H. Zhang et al., "Network Slicing based 5G and Future Mobile Networks: Mobility, Resource Management, and Challenges," IEEE Communications Magazine, Vol. 55, No. 8, pp. 138-145, 2017. https://doi.org/10.1109/MCOM.2017.1600940
  13. AT&T, "Towards an Open, Disaggregated Network Operating System," Linux Foundation Project DANOS, 2017.
  14. S. Dharmapurikar, P. Krishnamurthy, T. Sproull, and J. Lockwood, "Deep Packet Inspection using Parallel Bloom Filters," In Proc. of 11th Symposium on High Performance Interconnects(HOTI '03), pp. 44-51, 2003.
  15. R. T. El-Maghraby, N. M. A. Elazim, and A. M. Bahaa-Eldin, "A Survey on Deep Packet Inspection," In Proc. of 12th International Conference on Computer Engineering and Systems(ICCES 2017), pp. 188-197, 2017.
  16. M. S. Mushtaq et al., "Empirical Study based on Machine Learning Approach to Assess the QoS/QoE Correlation," Networks and Optical Communications (NOC), 17th European Conference, pp. 1-7, 2012.