Advertisement

An Adaptive Mobile System Using Mobile Grid Computing in Wireless Network

  • Jehwan Oh
  • Seunghwa Lee
  • Eunseok Lee
Part of the Lecture Notes in Computer Science book series (LNCS, volume 3984)

Abstract

In order to overcome the constrained performance inherent in mobile devices, and to support services depending using wireless networks, an adaptive mobile system using mobile grid computing, is proposed. According to the mobile device environment, classes are composed of an application that executes on a specific mobile device, and allocated to surrounding devices containing idle resources. The effectiveness of this system is confirmed, by applying the system to an emergency environment, using mobile devices, which include a PDA and laptop.

Keywords

Wireless Network Mobile Device Access Point Proxy Server System Profile 
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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Foster, I., Kesselman, C., Nick, J.M., Tuecke, S.: The Physiology of the Grid: An Open Grid Services Architecture for Distributed Systems Integration. In: OPEN Grid Service Grid Services Architecture for Distributed Systems Integration. Open Grid Service Infrastructure WG, Global Grid Forum (June 2002)Google Scholar
  2. 2.
    Chan, A.T.S., Chuang, S.-N.: MobiPADS: A Reflective Middleware for Context-Aware Mobile Computing. IEEE Transaction on Software Engineering 29(12), 1072–1085 (2003)CrossRefGoogle Scholar
  3. 3.
    Friday, A., Davies, N., Blair, G.S., Cheverst, K.W.J.: Developing Adaptive Applications: The MOST Experience. Journal of Integrated Computer-Aided Engineering 6(2), 143–157 (1999)Google Scholar
  4. 4.
    Hwang, J., Aravamudham, P.: Middleware Service for P2P Computing in Wireless Grid Networks. IEEE Internet Computing 8(4), 40–46 (2004)CrossRefGoogle Scholar
  5. 5.
    Phan, T., Huang, L., Dulan, C.: Challenge: Integrating Mobile Wireless Devices into the Computational Grid. In: Proc. the 15th Annual ACM Symposium on Principles of Distributed Computing, MOBICOM 2002, pp. 271–278. ACM Press, New York (2002)Google Scholar
  6. 6.
    Lum, W.Y., Lau, F.C.M.: User-Centric Content Negotiation for Effective Adaptation Service in Mobile Computing. IEEE Transaction on Software Engineering 29(12), 1100–1111 (2003)CrossRefGoogle Scholar
  7. 7.
    Poladian, V., Sousa, J.P., Garlan, D., Shaw, M.: Dynamic Configuration of Resource-Aware Services. In: ICSE 2004, pp. 604–613 (May 2004)Google Scholar
  8. 8.
    Sutton, R.S., Barto, A.G.: Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning). The MIT Press, Cambridge (1998)Google Scholar
  9. 9.
    Gu, X., Nahrstedt, K., Messer, A., Greenberg, I., Milojicic, D.: Adaptive offloading for pervasive computing. Pervasive Computing 3(3), 66–73 (2004)CrossRefGoogle Scholar
  10. 10.
    Bellavista, P., Corradi, A., Montanari, R., Stefanelli, C.: Context-aware middleware for resource management in the wireless Internet. IEEE Transactions on Software Engineering 29(12), 1086–1099 (2003)CrossRefGoogle Scholar
  11. 11.
  12. 12.
    Lee, S., Oh, J., Lee, E.: An architecture for multi-agent based self-adaptive system in mobile environment. In: Gallagher, M., Hogan, J.P., Maire, F. (eds.) IDEAL 2005. LNCS, vol. 3578, pp. 494–500. Springer, Heidelberg (2005)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jehwan Oh
    • 1
  • Seunghwa Lee
    • 1
  • Eunseok Lee
    • 1
  1. 1.School of Information and Communication EngineeringSungkyunkwan UniversitySuwonKorea

Personalised recommendations