Pervasive Open Spaces: A Transparent and Scalable Dome-Based Pervasive Resource Allocation System

  • Amgad Madkour
  • Sherif G. Aly
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4331)


Scalability imposes itself as a great setback for pervasive computing research. This paper presents a novel approach for scalable resource allocation which harnesses the power of scalable systems by creating what we call an open space. The fundamental concept behind open spaces lies in utilizing resources beyond user’s current location within a pervasive computing environment, while accommodating user mobility patterns. We discuss the idea of domes that form an open space environment. We also discuss how resources are allocated and migrated through domes. We present a schema of how resources can be dynamically allocated and shared between users within the environment in a transparent and efficient manner. We also discuss how we accommodate user mobility to eventually achieve an open space structure.


Open Space Pervasive Computing User Device Simulated User Resource Allocation Mechanism 
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.


Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.


  1. 1.
    Weiser, M.: The Computer for the 21st Century. Scientific Am., 94–104 (September 1991); Reprinted in IEEE Pervasive Computing, pp.19-25 (January-March 2002)Google Scholar
  2. 2.
    Saha, D., Mukherjee, A.: Pervasive Computing: A Paradigm for the 21st Century, March 2003. IEEE Computer Society, Los Alamitos (2003)Google Scholar
  3. 3.
    Satyanaryanan, M.: Pervasive Computing: Vision and Challenges. IEEE Personal Communications, 10–17 (August 2001)Google Scholar
  4. 4.
    Roman, M., Hess, C., Cerqueira, R., Ranganathan, A., Campbell, R., Nahrstedt, K.: A Middleware infrastructure for Active Spaces. IEEE Pervasive Computing 1(4) (October-December, 2002)Google Scholar
  5. 5.
    Project Aura at Carnegie Mellon University,
  6. 6.
    Neuman, B.C.: Scale in distributed systems. In: Readings in Distributed Computing Systems, pp. 463–489. IEEE Computer Society, Los Alamitos (1994)Google Scholar
  7. 7.
    Chen, G., Kotz, D.: A survey of context aware mobile computing research, Technical report TR2000-381, Department of Computer Science, Dartmouth College (2003)Google Scholar
  8. 8.
    Buchholz, T., Linnhoff-Popien, C.: Towards Realizing Global Scalability in Context-Aware Systems. In: Strang, T., Linnhoff-Popien, C. (eds.) LoCA 2005. LNCS, vol. 3479, pp. 26–39. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  9. 9.
    Satyanarayanan, M.: The influence of Scale on distributed File system design. IEEE Transactions on Software Engineering 18(1) (January 1992)Google Scholar
  10. 10.
    IT Professional’s editorial board, Grid Computing 101: Whats all the fuss about, IEEE Computer Society, March–April (2004)Google Scholar
  11. 11.
    Forter, I.: What is the grid, A Three Point Checklist, Argonne National Lab,
  12. 12.
  13. 13.
    Li, X., Liu, C.: Towards a Reliable and Efficient distributed storage system. In: IEEE Proceedings of the 38th international Conference on System Sciences (2005)Google Scholar
  14. 14.
    Loke, S.W., Krishnaswamy, S., Naing, T.T.: Service Domains for Ambient Services: Concept and Experimentation. In: Mobile Networks and Applications” (MONET) (Special Issue on Mobile Services), Springer, HeidelbergGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Amgad Madkour
    • 1
  • Sherif G. Aly
    • 1
  1. 1.The American University In CairoEgypt

Personalised recommendations