Skip to main content
SpringerLink
Log in

Using Kalman filter to guarantee QoS robustness of web server

  • Web and Networking Technology
  • Published:
Wuhan University Journal of Natural Sciences

Abstract

The exponential growth of the Internet coupled with the increasing popularity of dynamically generated content on the World Wide Web, has created the need for more and faster Web servers capable of serving the over 100 million Internet users. To converge the control method has emerged as a promising technique to solve the Web QoS problem. In this paper, a model of adaptive session is presented and a session flow self-regulating algorism based on Kalman Filter are proposed towards Web Server. And a Web QoS self-regulating scheme is advanced. To attain the goal of on-line system identification, the optimized estimation of QoS parameters is fulfilled by utilizing Kalman Filter in full domain. The simulation results shows that the proposed scheme can guarantee the QoS with both robustness and stability.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. Blewitt G. An Automatic Editing Algorithm for GPS Data.Geophysical Research Letters, 1990,17(3): 199–202.

    Article  Google Scholar 

  2. McCarthy D D. IERS Conventions.IERS Technical Note 21, Paris: Obser-Vatoire, 1996.

    Google Scholar 

  3. Pines S. Uniform Representation of the Gravitational Potential and Its Derivatives.AIAA Journal, 1973,11(11): 1508–1511.

    Article  MATH  Google Scholar 

  4. Cappellari J, Velez C, Fuchs A.Mathematical Theory of the Goddard Trajectory Determination System. New York: Goddard Space Flight Center, 1976.

    Google Scholar 

  5. Bierman G J.Factorization Methods for Discrete Sequential Estimation. New York: Academic Press, 1972.

    Google Scholar 

  6. Teunissen P J G, Salzmann M A. A Recursive Slippage Test for Use in State-Space Filtering.Manuscripta Geodaetica, 1989,14: 383–390.

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. College of Computer Science and Information Engineering, Henan University, 475001, Kaifeng, Henan, China

    Li Jie & Liu Xian-xing

  2. Department of Computer Science, Nanjing University of Post and Telecommunication, 21003, Nanjing, Jiangsu, China

    Wang Ru-chuan

Authors
  1. Li Jie
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Liu Xian-xing
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Wang Ru-chuan
    View author publications

    You can also search for this author in PubMed Google Scholar

Additional information

Foundation item: Supported by the National Natural Science Fundation of China (60272024), the National Natural Science Foundation of Henan Province (0411014100)

Biography: LI Jie (1975-), male, Ph. D., research direction: Web QoS, network management.

Rights and permissions

Reprints and permissions

About this article

Cite this article

Jie, L., Xian-xing, L. & Ru-chuan, W. Using Kalman filter to guarantee QoS robustness of web server. Wuhan Univ. J. Nat. Sci. 11, 239–242 (2006). https://doi.org/10.1007/BF02831739

Download citation

  • Received:

  • Issue Date:

  • DOI: https://doi.org/10.1007/BF02831739

Key words

CLC number

Search

Navigation