Advertisement

An Optimization of Context Sharing for Self-adaptive Mobile Applications

  • Nearchos Paspallis
  • George A. Papadopoulos
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5022)

Abstract

Because of the high potential of mobile and pervasive computing systems, there is an ongoing trend in developing applications exhibiting context awareness and adaptive behavior. While context awareness guarantees that the applications are aware of both their context and their own state, dynamic adaptivity enables them to react on their knowledge about it and optimize their offered services. However, because in pervasive computing environments there is also a need for enabling arbitrary synergies, such a behavior also requires appropriate algorithms implementing the adaptation logic required to reason on the sensed context and dynamically decide on the most appropriate adaptations. This paper discusses how utility function-based approaches can use context-awareness for that and, additionally, it shows how the decision-making process is improved with respect to both performance and resource consumption by using a more intelligent approach.

Keywords

Self-adaptive Context-aware Optimization Mobile computing 

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. 1.
    Horn, P.: Autonomic Computing: IBM’s Perspective on the State of Information Technology, IBM Corporation (2001), www.research.ibm.com
  2. 2.
    Floch, J., Hallsteinsen, S., Stav, E., Eliassen, F., Lund, K., Gjorven, E.: Using Architecture Models for Runtime Adaptability. IEEE Software 23(2), 62–70 (2006)CrossRefGoogle Scholar
  3. 3.
    Geihs, K., Khan, M.U., Reichle, R., Solberg, A., Hallsteinsen, S., Merral, S.: Modeling of Component-Based Adaptive Distributed Applications. In: 21st ACM Symposium on Applied Computing (SAC), Dijon, France, April 23-27, 2006, pp. 718–722 (2006)Google Scholar
  4. 4.
    Paspallis, N., Papadopoulos, G.A.: An Approach for Developing Adaptive, Mobile Applications with Separation of Concerns. In: 30th Annual International Computer Software and Applications Conference (COMPSAC), Chicago, IL, USA, September 17-21, 2006, pp. 299–306. IEEE Computer Society Press, Los Alamitos (2006)CrossRefGoogle Scholar
  5. 5.
    Szyperski, C.: Component software: beyond object-oriented programming. ACM Press / Addison-Wesley Publishing Co (1998)Google Scholar
  6. 6.
    The MADAM Consortium: Mobility and Adaptation Enabling Middleware (MADAM), http://www.ist-madam.org
  7. 7.
    The MUSIC Consortium: Self-Adapting Applications for Mobile Users in Ubiquitous Computing Environments (MUSIC), http://www.ist-music.eu
  8. 8.
    Alia, M., Eide, V.S.W., Paspallis, N., Eliassen, F., Hallsteinsen, S., Papadopoulos, G.A.: A Utility-based Adaptivity Model for Mobile Applications. In: 21st International Conference on Advanced Information Networking and Applications Workshops (AINAW), Niagara Falls, Ontario, Canada, May 21-23, 2007, pp. 556–563. IEEE Computer Society Press, Los Alamitos (2007)Google Scholar
  9. 9.
    Paspallis, N., Chimaris, A., Papadopoulos, G.A.: Experiences from Developing a Context Management System for an Adaptation-enabling Middleware. In: 7th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Paphos, Cyprus, June 5-8, 2007, pp. 225–238. Springer Verlag, Heidelberg (2007)Google Scholar
  10. 10.
    Walsh, W.E., Tesauro, G., Kephart, J.O., Das, R.: Utility Functions in Autonomic Systems. In: International Conference on Autonomic Computing (ICAC), New York, NY, USA, May 17-18, 2004, pp. 70–77. IEEE Press, Los Alamitos (2004)CrossRefGoogle Scholar
  11. 11.
    Alia, M., Hallsteinsen, S., Paspallis, N., Eliassen, F.: Managing Distributed Adaptation of Mobile Applications. In: 7th IFIP International Conference on Distributed Applications and Interoperable Systems (DAIS), Paphos, Cyprus, June 5-8, 2007, pp. 104–118. Springer Verlag, Heidelberg (2007)Google Scholar
  12. 12.
    Chen, G., Kotz, D.: A Survey of Context-aware Mobile Computing Research, Technical Report: TR2000-381, Dartmouth College, Hanover, NH, USA (2000)Google Scholar
  13. 13.
    McKinley, P.K., Sadjadi, S.M., Kasten, E.P., Cheng, B.H.: Composing Adaptive Software. IEEE Computer 37(7), 56–64 (July 2004)Google Scholar
  14. 14.
    Murphy, A.L., Picco, G.P., Roman, G.-C.: LIME: A Middleware for Physical and Logical Mobility. In: 21st IEEE International Conference on Distributed Computing Systems (ICDCS), Phoenix (Mesa), Arizona, USA, April 16-19, 2001, p. 524. IEEE Computer Society, Los Alamitos (2001)Google Scholar
  15. 15.
    Sousa, J.P., Garlan, D.: Aura: an Architectural Framework for User Mobility in Ubiquitous Computing Environments. In: 3rd Working IEEE/IFIP Conference on Software Architecture, Montreal, Canada, August 25-31, 2002, pp. 29–43. Kluwer Academic Publishers, Dordrecht (2002)Google Scholar
  16. 16.
    Paspallis, N., Papadopoulos, G.A.: Distributed Adaptation Reasoning for a Mobility and Adaptation Enabling Middleware. In: 8th International Symposium on Distributed Objects and Applications (DOA). LNCS, vol. 4277, pp. 17–18. Springer, Heidelberg (2006)Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Nearchos Paspallis
    • 1
  • George A. Papadopoulos
    • 1
  1. 1.Department of Computer ScienceUniversity of CyprusNicosiaCyprus

Personalised recommendations