Multi-dimensional Dynamic Bucket Index Based on Mobile Agent System Architecture

  • Marcin Gorawski
  • Adam Dyga
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4080)


This paper describes the idea of a bucket index employed for processing of intensive reading streams coming from huge telemetry networks. This data structure answers approximate spatio-temporal range queries concerning utility usage in user selected region and time. The index structure continuously adjusts to data distribution changes and, as opposed to traditional indexing methods, is capable of processing of the updates on the fly. A stochastic prediction model is also used to estimate utility usage in the near future. The presented indexing technique is implemented in a distributed system based on mobile agents. The mobile architecture is used to control the workload of network hosts.


Mobile Agent Query Region Indexing Agent Agent Migration Utility Usage 
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.
    Gorawski, M., Dyga, A.: Indexing of Spatio -Temporal Telemetric Data based on Distributed Mobile Bucket Index. In: Parallel and Distributed Computing and Networks (PDCN), Innsbruck, Austria, February 14-16 (2006)Google Scholar
  2. 2.
    Gorawski, M., Malczok, R.: Distributed Spatial Data Warehouse Indexed with Virtual Memory Aggregation Tree. In: 5th Workshop on Spatial-Temporal DataBase Management (STDBM_VLDB 2004), Toronto, Canada (2004)Google Scholar
  3. 3.
    Gorawski, M., Malczok, R.: On Efficient Storing and Processing of Long Aggregate Lists. In: Tjoa, A.M., Trujillo, J. (eds.) DaWaK 2005. LNCS, vol. 3589, pp. 190–199. Springer, Heidelberg (2005)CrossRefGoogle Scholar
  4. 4.
    Sun, J., Papadias, D., Tao, Y., Liu, B.: Querying about the Past, the Present and the Future in Spatio-Temporal Databases. In: Proceedings of the 20th IEEE International Conference on Data Engineering (ICDE), Boston, MA (2004)Google Scholar
  5. 5.
    Dimarzo, G., Romanovsky, A.: Designing Fault-Tolerant Mobile Systems. In: Guelfi, N., Astesiano, E., Reggio, G. (eds.) FIDJI 2002. LNCS, vol. 2604, pp. 185–201. Springer, Heidelberg (2003)CrossRefGoogle Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Marcin Gorawski
    • 1
  • Adam Dyga
    • 1
  1. 1.Institute of Computer ScienceSilesian University of TechnologyGliwicePoland

Personalised recommendations