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An Increase Web Services Performance Method

  • Whe Dar Lin
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3579)

Abstract

In this paper, our loading balance processes electronic commerce transactions to increase Web services performance. Our method includes a loading balance value to resolve the concurrent data problem among EC services databases Web systems. In the new algorithm proposed here, a loading evaluation is introduced and utilized to make the efficiency of the result. The simulation results show that our system outperforms existing schedulers such as branch and bound algorithm, and the shifting bottleneck heuristic when an application requires an EC transaction model. We have analyzed a variety of transaction schemes compatible with other kinds of protocol standards and developed a modeling framework on which we can selectively extract the merits of these schemes while maintaining good consistency. Simulation results show that our system outperforms existing schedulers such as throughput and commit time when an application requires an EC transaction model. The electronic commerce transactions hype has barely subsided, the media, venture capitalists, and stock markets have already moved on to the mobile Internet. Knowing a change is coming is loading balance, predicting its shape and form for electronic commerce transactions to increase Web services performance on PC-centric models to mobile and person-centric techniques.

References

  1. 1.
    Abbott, R., Garcia-Molina, H.: Scheduling EC transactions. ACM SIGMOD Record 17(1), 71–81 (1988)CrossRefGoogle Scholar
  2. 2.
    Krishnamurthy, B., Rexford, J.: Web protocols and practice: HTTP/1.1, networking protocols, caching, and traffic measurement, 1st edn. Addison Wesley, Reading (2001)Google Scholar
  3. 3.
    Friedman, D.: On economic applications of evolutionary game theory. J. Evolutionary Economics 8(1), 15–43 (1998)CrossRefGoogle Scholar
  4. 4.
    El-Sayed, A.A., Hassanein, H.S., El-Sharkawi, M.E.: Effect of shaping characteristics on the performance of transactions. Information and Software Technology 43(10), 579–590 (2001)CrossRefGoogle Scholar
  5. 5.
    Zitzler, E., Deb, K., Thiele, L.: Comparison of multiobjective evolutionary algorithms: Empirical results. Evolutionary Computation 8(2), 173–195 (2000)CrossRefGoogle Scholar
  6. 6.
    Haritsa, J.R., Ramamritham, K., Gupta, R.: The PROMPT real-time commit protocol. IEEE Trans. Parallel and Distributed Systems 11(2), 160–181 (2000)CrossRefGoogle Scholar
  7. 7.
    Huang, J., Stankovic, J.: Real-Time Buffer Management. COINS TR 90-65 (1990)Google Scholar
  8. 8.
    Zhu, H., Yang, T.: Cachuma: Class-based cache management for dynamic web content. In: Proc. IEEE INFOCOM 2001, pp. 1215–1224 (2001)Google Scholar
  9. 9.
    Knowles, J., Corne, D.W.: Approximating the nondominated front using the Pareto archived evolution strategy. Evolutionary Computation 8(2), 149–172 (2000)CrossRefGoogle Scholar
  10. 10.
    Weibull, J.W.: Evolutionary Game Theory. The MIT Press, Cambridge (1995)zbMATHGoogle Scholar
  11. 11.
    Leung, K.K., Levy, Y.: Global Mobility Management by Replicated Databases in Personal Communication Networks. IEEE Journal on selected areas in communications 15(8), 1582–1596 (1997)CrossRefGoogle Scholar
  12. 12.
    Arlitt, M., Jin, T.: Workload characterization of the 1998 world cup web site. IEEE Network 14(3), 30–37 (2000)CrossRefGoogle Scholar
  13. 13.
    Karam, M., Tobagi, F.: Rate and queue control random drop (RQRD): A buffer management scheme for Internet routers. In: Proc. Globecom 2000, San Francisco, CA, November 2000, vol. 1(1), pp. 316–322 (2000)Google Scholar
  14. 14.
    Pan, R., Prabhakar, B., Psounis, K.: CHOKe: A stateless active queue management scheme for approximating fair bandwidth allocation. In: Proc. IEEE Infocom 2000, March 2000, vol. 2(1), pp. 942–951 (2000)Google Scholar
  15. 15.
    Bodin, U., Schelen, O., Pink, S.: Load-tolerant differentiation with active queue management. SIGCOMM Computer Communication Review 30(3), 4–16 (2000)CrossRefGoogle Scholar
  16. 16.
    Lin, W.-D.: EC Transactions Use Different Web-based Web systems. In: Sloot, P.M.A., Abramson, D., Bogdanov, A.V., Gorbachev, Y.E., Dongarra, J., Zomaya, A.Y. (eds.) ICCS 2003. LNCS, vol. 2658, pp. 1059–1068. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2005

Authors and Affiliations

  • Whe Dar Lin
    • 1
  1. 1.Dept of Information ManagementThe Overseas Chinese Institute of TechnologyTaichungTaiwan

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