Telecommunication Systems

, Volume 15, Issue 1–2, pp 203–215 | Cite as

A measurement‐based performance evaluation method for IP networks and its implementation

  • Keisuke Ishibashi
  • Takumi Kimura
  • Toshihisa Ozawa


In recent years, IP networks have become increasingly complex and the range of network applications has widened. As a result, the need for experimental evaluation of application performance has increased. We introduce a measurement‐based performance evaluation method that combines a function to generate various patterns of application traffic with one to measure end‐to‐end network performance at the application level. For our method, we also propose traffic models of various applications that can represent the characteristics of these applications, for example, the burstiness of traffic. This method has already been implemented as a benchmarking tool on UNIX operating systems.


Application Level Interarrival Time Message Size Performance Evaluation Relation Performance Evaluation Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. [1]
    M.E. Crovella and A. Bestavros, Explaining World Wide Web traffic self-similarity, Revised Technical Report TR-95-015, Computer Science Department, Boston University (October 12, 1995).Google Scholar
  2. [2] Scholar
  3. [3]
    M. Ishikura, Y. Ito, O. Maeshima and T. Asami, A traffic measurement tool for IP-based networks, in: Proc. of Internet Workshop'98 (April 1998).Google Scholar
  4. [4]
    T.T. Kwan, R.E. McGrath and D.A. Reed, User access patterns to NCSA's World Wide Web server, National Center for Supercomputing Applications, University of Illinois.Google Scholar
  5. [5]
    A.M. Law and W.D. Kelton, Simulation Modeling and Analysis (McGraw-Hill, New York, 1991).Google Scholar
  6. [6]
    B.A. Mah, An empirical model of HTTP network traffic, in: Proc. of IEEE INFOCOM'97 (1997).Google Scholar
  7. [7]
    Y. Murayama and S. Yamaguchi, DBS: A powerful tool for TCP performance evaluations, Proc. of SPIE 3231 (November 1997).Google Scholar
  8. [8]
    M. Nabe, K. Baba, M. Murata and H. Miyahara, Analysis and modeling of WWW traffic for designing Internet access networks, Transactions of IEICE B-I J80(6) (1997).Google Scholar
  9. [9]
    V. Paxon, Empirically derived analytic models of wide-area TCP connections, IEEE/ACM Transactions of Networking 2(4) (1994).Google Scholar
  10. [10]
    W.R. Stevens, TCP/IP Illustrated, Vol. 1 (Addison-Wesley, Reading, MA, 1994).Google Scholar

Copyright information

© Kluwer Academic Publishers 2000

Authors and Affiliations

  • Keisuke Ishibashi
    • 1
  • Takumi Kimura
    • 2
  • Toshihisa Ozawa
    • 3
  1. 1.NTT Information Sharing Platform LaboratoriesTokyoJapan
  2. 2.NTT Service Integration LaboratoriesTokyoJapan
  3. 3.Department of Business AdministrationKomazawa UniversityTokyoJapan

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