A Highly Robust Proxy Enabled Overload Monitoring System (P-OMS) for E-Business Web Servers

  • S. V. Shetty
  • H. Sarojadevi
  • B. Sriram
Conference paper
Part of the Smart Innovation, Systems and Technologies book series (SIST, volume 33)


E-business applications play significant role in present day’s business operations. Due to the surge in browsing requests, the Web-servers associated with E-business web systems suffer from unpredictable overloads that adversely affects revenue generating requests. In this research, a Proxy Enabled Overload Monitoring System (P-OMS) is developed that provides a flexible and robust overload control for E-business Web-servers. The P-OMS paradigm incorporates the combination of LIFO and FIFO scheduling for overload control. The implemented P-OMS is tested on a testbed with TPC-W benchmark setup and found to be very efficient in enhancing the throughput as well as revenue generating requests in E-business systems.


Overload control E-business Web-Server TPC-W LIFO scheduling 



Our special thanks to our Management, Principal, Dean R&D and Head of the department for their continuous research encouragement and motivating guidelines.


  1. 1.
    Cherkasova, L., Phaal, P.: Session-based admission control-A mechanism for peak load management of commercial web sites. IEEE Trans. Comput. 51(6), 669−685 (2002)Google Scholar
  2. 2.
    Chen, H., Mohapatra, P.: Session-based overload control in qos-aware web servers. IEEE INFOCOM (2002)Google Scholar
  3. 3.
    Elnikety, S., Nahum, E., Tracey, J., Zwaenepoel, W.: A method for transparent admission control and request scheduling in e-commerce web sites. In: Proceedings of the 13th international conference on World Wide Web. ACM Press pp. 276−286 (2004)Google Scholar
  4. 4.
    Abdelzaher,T.F., Shin, K.G. Bhatti N.: Performance guarantees for web server end systems-a control-theoretical approach. IEEE. Trans. Parallel. Distrib. Sys. 13, 80−96 (2002)Google Scholar
  5. 5.
    Cherkasova, L., Phaal, P.: Session-based admission control: a mechanism for peak load management of commercial Web sites. Comput. IEEE. Trans. 51–6, 669–685 (2002)CrossRefGoogle Scholar
  6. 6.
    Zhang, Q., Riska, A., Riedel, E.: Workload propagation—overload in bursty servers. Quantitative Evaluation of Systems. Second International Conference 179−188 (2005)Google Scholar
  7. 7.
    Wang, W., Zhang, W., Wei, J., Huang, T.: A QoS-enabled work manager model for web application servers. Qual. Softw. Seventh International Conference 40−49 (2007)Google Scholar
  8. 8.
    Menasce, D., Akula V.: A business-oriented load dispatching framework for online auction sites. Quantitative Evaluation of Systems. QEST. Fourth International Conference 249−258 (2007)Google Scholar
  9. 9.
    Yue, C., Wang, H.: Profit-aware admission control for overload protection in E-commerce web sites. Qual. Serv. Fifteenth IEEE Int. Workshop 188−193 (2007)Google Scholar
  10. 10.
    Chen, M., Gao, Z., Wang, W.: Research on multi-objective dynamic priority request scheduling of business web system. Wireless Communications. Networking and Mobile Computing, WiCom .International Conference 1954−1957 (2007)Google Scholar
  11. 11.
    Iwasa, E., Irie, M, Kaneko, M, Fukumoto, T., Iio, M., Ueda, K.: Methods for reducing load of dynamic scaling for distributed session control servers. Information and Telecommunication Technologies (APSITT). 9th Asia-Pacific Symposium 1−5 (2012)Google Scholar
  12. 12.
    Pateriya, R.K.:Web server load management with adaptive SSL and admission control mechanism. Computer Science and Education (ICCSE). 7th International Conference 1178−1183 (2012)Google Scholar
  13. 13.
    Kuzminykh, I.: A combined LIFO-Priority algorithm for overload control of SIP Server. Modern Problems of Radio Engineering Telecommunications and Computer Science (TCSET). International Conference 330−330 (2012)Google Scholar

Copyright information

© Springer India 2015

Authors and Affiliations

  1. 1.NMITBangaloreIndia
  2. 2.NMAMITUdupi DistrictIndia

Personalised recommendations