• DocumentCode
    3203156
  • Title

    Optimistic replication in mobile traffic control environment

  • Author

    Fadelelmoula, Ashraf A. ; Dominic, P.D.D.

  • Author_Institution
    Dept. of Comput. & Inf. Sci., Univ. Teknol. Petronas, Tronoh
  • fYear
    2007
  • fDate
    25-28 Nov. 2007
  • Firstpage
    543
  • Lastpage
    548
  • Abstract
    Data management in mobile computing poses great challenges to the database researchers. One of the important challenges is to provide a data replication solution, suitable for various applications in the mobile environment. Because of this difficulty, this paper interested to address a solution customized to one of most important areas in our live that is traffic control area, because this area strongly demand solutions for managing and maintaining data distributed between multiple sites. Our solution is based on the use of optimistic replication, which is the best technique for sharing data efficiently in mobile environment. The solution is applied by using Microsoft SQLSERVER replication types: Snapshot replication, Merge replication, and Transactional replication, and adaptation of some activities of these techniques to ensure availability and consistency of data.
  • Keywords
    mobile computing; replicated databases; traffic control; traffic information systems; transaction processing; Microsoft SQLSERVER; data availability; data consistency; data management; data replication; data sharing; distributed data; merge replication; mobile computing; mobile traffic control environment; optimistic replication; snapshot replication; transactional replication; Communication system traffic control; Conference management; Deductive databases; Environmental management; Intelligent systems; Mobile computing; Road accidents; Road vehicles; Traffic control; Vehicle driving;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
  • Conference_Location
    Kuala Lumpur
  • Print_ISBN
    978-1-4244-1355-3
  • Electronic_ISBN
    978-1-4244-1356-0
  • Type

    conf

  • DOI
    10.1109/ICIAS.2007.4658447
  • Filename
    4658447