2003
Journal article  Restricted

Effective Scheduling of Detached Rules in Active Databases

S. Ceri, C. Gennaro, S. Paraboschi, G. Serazzi

Computational Theory and Mathematics  detached rules  Computer Science Applications  Information Systems  Active databases  rule scheduling 

While triggers have become a classical ingredient of relational database systems, research in active databases is aiming at extending the functionality and expressive power of active rules beyond the scope of relational triggers. One of the most important current trend concerns the support of detached active rules, i.e., of rules which are executed as separate transactions, running outside of the scope of the transaction which generates the triggering event. Detached rules have important applications in workflow management and global integrity maintenance across transactions. One of the main issues in designing the rule engine for detached rules is determining their optimal scheduling. In this paper, we study the performance of a detached rule scheduler whose objective is to minimize the interference of detached rule execution with regard to the normal transactional load. This objective is achieved by executing detached rules at given periods of time and by assigning them a fixed amount of dedicated threads; we study the performance of the scheduler relative to the two most critical design parameters, the frequency of execution of the scheduler, and the number of dedicated execution threads.

Source: IEEE transactions on knowledge and data engineering (Print) 15 (2003): 2–13. doi:10.1109/TKDE.2003.1161578

Publisher: Institute of Electrical and Electronics Engineers,, New York, NY , Stati Uniti d'America


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BibTeX entry
@article{oai:it.cnr:prodotti:169471,
	title = {Effective Scheduling of Detached Rules in Active Databases},
	author = {S.  Ceri and C.  Gennaro and S.  Paraboschi and G.  Serazzi},
	publisher = {Institute of Electrical and Electronics Engineers,, New York, NY , Stati Uniti d'America},
	doi = {10.1109/tkde.2003.1161578},
	journal = {IEEE transactions on knowledge and data engineering (Print)},
	volume = {15},
	pages = {2–13},
	year = {2003}
}