QoS Quorum-Constrained Resource Management in Wireless Grid

  • Chan-Hyun Youn
  • Byungsang Kim
  • Dong Su Nam
  • Eung-Suk An
  • Bong-Hwan Lee
  • Eun Bo Shim
  • Gari Clifford
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3222)

Abstract

In wireless Grid computing environment, end-to-end Quality of Service (QoS) could be very complex, and this highlights the increasing requirement for the management of QoS itself. Policy quorum-based management offers a more flexible, customizable management solution that allows controlled elements to be configured or scheduled on the fly, for a specific requirement tailored for a customer. This paper presents a QoS guaranteed management scheme, Policy Quorum Resource Management (PQRM), which facilitates the reliable scheduling of the wireless Grid system with dynamic resource management architecture aimed at fulfilling the QoS requirements. Experimental results show the proposed PQRM with resource reconfiguration scheme improves both performance and stability, which is suitable for a wireless Grid services.

References

  1. 1.
    McKnight, L.W., Anius, D., Uzuner, O.: Virtual Market in wireless Grid: Peering policy prospects, TPRC2002 Research conference on Communication, Information and Internet Policy (2002)Google Scholar
  2. 2.
    Berman, F., Fox, G.C., Hey, A.J.G.: Grid Computing. Wiley, Chichester (2003)CrossRefGoogle Scholar
  3. 3.
    Saeed, M., Lieu, C., Raber, G., Mark, R.G.: MIMIC II: A massive temporal ICU patient database to support research in intelligent patient monitoring. Computers in Cardiology, 641–644 (2002)Google Scholar
  4. 4.
    Golberger, A., Amaral, L., Glass, L., Hausdorff, J.M., et al.: PhysioBank, PhysioToolkit, and PhysioNet:Component of a New Research Resource for Complex Physiologic Signals. Circulation 101(23) (June 2000)Google Scholar
  5. 5.
    Franken, L.J., Haverkort, B.R.: The performability manager. IEEE Network, pp. 24–32 (January/February 1994)Google Scholar
  6. 6.
    Cardei, I., Varadarajan, S., Pavan, M., Cardei, M., Min, M.: Resource Management for Ad-hoc wireless networks with cluster organization. Journal of Cluster Computing in the Internet, Kluwer Academic Publishers (January 2004)Google Scholar
  7. 7.
    Alali, R.J., Rana, O.F., Walker, D.W.: G-QoSM: Grid Service Discovery Using QoS Properties. Computing and Informatics Journal 21, 363–382 (2002)MATHGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2004

Authors and Affiliations

  • Chan-Hyun Youn
    • 1
  • Byungsang Kim
    • 1
  • Dong Su Nam
    • 1
  • Eung-Suk An
    • 1
  • Bong-Hwan Lee
    • 2
  • Eun Bo Shim
    • 3
  • Gari Clifford
    • 4
  1. 1.School of EngineeringInformation and Communications UniversityDaejeonKorea
  2. 2.Dept. of Information and Communications EngineeringDaejeon UniversityDaejeonKorea
  3. 3.Dept. of Mechanical EngineeringKwangwon National UniversityKwangwon-doKorea
  4. 4.Harvard-MIT Division of Health Science TechnologyMITCambridgeUSA

Personalised recommendations