Network simulation enhancing network management in real-time

ABSTRACT

This research investigates the application of network simulation to enhance network management in real-time. Its focus is on ad hoc wireless networks as needed for future public safety emergency response, homeland security, and future combat system networks where the network requirements and topology are rapidly changing. The network simulation is used to analyze user satisfaction with the network and to enable real-time what-if studies that show what the user satisfaction will be if the network is reconfigured in various ways. User satisfaction as a metric is defined to correspond to the impact of the network performance on the ability of the network user to complete their public safety, security or military functions. The current network size of interest is up to ad hoc wireless 500 nodes, a typical target load for a single network manager. At the same time, the approach is made scalable to use manager of managers approach to scale to larger networks. The article reports on the approach and performance results.

REFERENCES

• 1: Baudet, S., Besset-Bathias, C., Frene, P., and Giroux, N. n.d. QoS Implementation in UMTS Networks. Planning the IP Telephony Network. Cisco Technical Solutions Series.
• 2: ETSI TS 123 107 v3.3.0 (2000-06) Technical Specification. Universal Mobile Telecommunications System (UMTS); QoS Concept and Architecture.
• 3: ITU-T Recommendation G.107, The E-Model, A Computational Model for Use in Transmission Planning. May 2000.
• 4: ITU-T Recommendation G.108.1, Guidance for Assessing Conversational Speech Transmission Quality Effects Not Covered by the E-Model. May 2000.
• 5: ITU-T Recommendation G.109, Definitions of Categories of Speech Transmission Quality. September 1999.
• 6: ITU-T Recommendation G.113, Transmission Impairments. February 1996.
• 7: ITU-T Recommendation G.114, International Telephone Connections and Circuits. General recommendations on the transmission quality for an entire international telephone connection. May 2000.
• 8: Y. Mansour , B. Patt-Shamir, Jitter Control in QoS Networks, Proceedings of the 39th Annual Symposium on Foundations of Computer Science, p.50, November 08-11, 1998
• 9: Warren, G., Diehl, V., Longtin, L., Steigerwald, A., Kostas, C., Chou, S., Ghetie, A., and Sulesky, A. 1999. Simulation and evaluation of adaptive mobile large-scale network systems (SEAMLSS), Paper # 99S-SIW-021. In Proceedings of Simulation Interoperability Workshop (Spring).
• 10: Warren, G. and Hansen, S. 2001. On-line network simulation for active fault tolerant networks. In Proceedings of the 2001 IEEE Aerospace Conference. IEEE Computer Society Press, Los Alamitos, Calif., http://www.aeroconf.org/index.htm.

INDEX TERMS

Primary Classification:
  C. Computer Systems Organization
  C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
      Subjects: Real-time and embedded systems

Additional Classification:
  C. Computer Systems Organization
  C.3 SPECIAL-PURPOSE AND APPLICATION-BASED SYSTEMS
      Subjects: Process control systems
  C.4 PERFORMANCE OF SYSTEMS
      Subjects: Modeling techniques

  I. Computing Methodologies
  I.6 SIMULATION AND MODELING
      I.6.3 Applications
      I.6.6 Simulation Output Analysis
      I.6.7 Simulation Support Systems

General Terms:
Algorithms, Design, Human Factors, Performance, Standardization

Keywords:
Communications network simulation, quality of service, user satisfaction metrics