Journal of the Institute of Electronics Engineers of Korea TC (대한전자공학회논문지TC)

The Institute of Electronics and Information Engineers (대한전자공학회)
권호 표지

Analytical Models and Performance Evaluations of Network Management Systems

네트워크 관리 시스템의 해석적 모델 및 성능 평가

  • Published : 2004.09.01
Download PDF
⟨ Previous Next ⟩

Abstract

Since the Internet has grown into a large communication infrastructure, the network management system to systematically manage the large number of network components has become an essential part of the Internet. The rapid growth of network size has brought into question the scalability of the existing centralized model, such as SNMP (Simple Network Management Protocol) and CMIP (Common Management Information Protocol). Thus, for efficient network management, researches about mobile agent have also been performed recently. This paper presents analytical models of centralized approach based on SNMP protocol, distributed approach based on mobile agent, and mixed mode to make up for shortcomings of SNMP and mobile agent. We compare the performance of these analytical models based on network management response time. Experiment results show that performance of mobile agent and the mixed mode is less sensitive to the delay in WAN network environment. However, SNMP is more efficient for the simple network environment like LAN.

인터넷이 급속히 발전하여 통신 하부구조가 됨에 따라 네트워크의 많은 구성요소를 체계적으로 관리하는 네트워크 관리 시스템은 인터넷의 필수 요소가 되고 있다. 네트워크 규모의 급속한 성장은 기존의 SNMP(Simple Network Management Protocol), CMIP(Common Management Information Protocol) 등을 기반으로 한 클라이언트-서버(client-server) 관리 패러다임으로는 한계를 가진다. 따라서 네트워크를 효율적으로 관리하기 위해서 분산형(distributed) 패러다임인 이동에이전트(Mobile Agent)를 네트워크 관리에 이용하려는 연구가 최근에 많이 이루어지고 있다. 본 논문에서는 중앙 집중형의 SNMP, 분산형의 이동에이전트, 그리고 이들 두 접근 방법의 단점을 극복하기 위한 이동에이전트의 한 형태인 혼합모드의 해석적 모델을 제안하고 그 성능을 비교 분석한다 제안한 해석적 모델을 네트워크 응답 시간에 중점을 두어 성능 평가 한 결과 LAN에서는 대체적으로 SNMP가 유리한 반면 WAN에서는 네트워크 환경에 따라 이동에이전트 또는 혼합모드가 더 좋은 응답 시간을 보임을 알 수 있다.

Keywords

References

  1. Stallings, SNMP, SNMPv2, SNMPv3, and RMON1 and 2, 2nd Edition, Addison-Wesley, 1999
  2. V. A. Pham and A. Karmouch, 'Mobile software agents: An overview', IEEE Communications Magazine, vol. 36, July 1998 https://doi.org/10.1109/35.689628
  3. M. Baldi and G. P. Picco, 'Evaluation the tradeoffs of mobile code design paradigms in network management applications,' ICSE'98, Apr. 1998 https://doi.org/10.1109/ICSE.1998.671111
  4. A. Sahai and C. Morin, 'Towards distributed and dynamic network management,' Proc. of the IEEE/IFIP Network Operation and Management Symposium, Feb. 1998 https://doi.org/10.1109/NOMS.1998.654446
  5. Susilo, A. Biezczad, and B. Pagurek, 'Infrastructure for advanced network management based on mobile code,' Proc. of NOMS'98, Feb. 1998 https://doi.org/10.1109/NOMS.1998.654432
  6. W. Stallings, 'SNMP and sNMPv2: The Infrastructure for Network Management,' IEEE Communications Magazine, March 1998 https://doi.org/10.1109/35.663326
  7. A. Liotta, G. Pavlou, and G. Knight, 'Exploiting agent mobility for large-scale network monitoring', Network, IEEE, vol. 16, May 2002 https://doi.org/10.1109/MNET.2002.1002994
  8. D. Case, K. McCloghrie, M. Rose,and S. Waldbusser, 'Structure of management information for version 2 of the Simple Network Management Protocol,' RFC 1902, Jan. 1996
  9. Alfonso Fuggetta, Gian Pietro Picco, Giovanni Vigna, 'Understanding Code Mobility,' IEEE Transaction On S/W Engineering, Vol.24, No.5, May, 1998 https://doi.org/10.1109/32.685258
  10. W. Zegura, K. L. Calvert, and M. J. Donahoo, 'A quantitative comparison of graph-based models for internet topology,' IEEE/ACM Transaction on Networking, Dec. 1997 https://doi.org/10.1109/90.650138
  11. Schwartz, Telecommunication networks: Protocols, modeling and analysis, Addison-Wesley, 1987
  12. Kleinrock, Queueing systems volume 1: Theory, John Wiley & Sons, 1975