Dynamic on-demand updating of data in real-time database systems

10 years 4 months ago
Dynamic on-demand updating of data in real-time database systems
The amount of data handled by real-time and embedded applications is increasing. Also, applications normally have constraints with respect to freshness and timeliness of the data they use, i.e., results must be produced within a deadline using accurate data. This calls for data-centric approaches when designing embedded systems, where data and its meta-information (temporal correctness requirements etc) are stored centrally. The focus of this paper is on maintaining data freshness in soft real-time embedded systems and the target application is vehicular systems. The contributions of this paper are three-fold. We (i) define a specific notion of data freshness by adopting data similarity in the value-domain of data items using data validity bounds that express required accuracy of data, (ii) present a scheme for managing updates in response to changes in the data items; and (iii) present a new on-demand scheduling algorithm, On-Demand Depth-First Traversal denoted ODDFT, for enforcin...
Thomas Gustafsson, Jörgen Hansson
Added 30 Jun 2010
Updated 30 Jun 2010
Type Conference
Year 2004
Where SAC
Authors Thomas Gustafsson, Jörgen Hansson
Comments (0)