Title :
Measuring the effect of data distribution and replication models on performance evaluation of distributed database systems
Author_Institution :
Dept. of Comput. Sci., Old Dominion Univ., Norfolk, VA, USA
Abstract :
The effect of assumptions about data distribution and replication on the performance measures as well as the computational complexity and accuracy of performance evaluations is investigated. The size of the participating node set of a transaction is chosen as the desired performance measure. Probabilistic analysis is used to evaluate six models. It is concluded that even though some of the data distribution and replication models appear to be simplistic, the results obtained from them are very close to those from complex models
Keywords :
computational complexity; distributed databases; performance evaluation; probability; computational complexity; data distribution; data replication; distributed database; performance evaluation; performance measures; probabilistic analysis; Analytical models; Computational modeling; Computer science; Costs; Database systems; Delay; Particle measurements; Size measurement; Time measurement; Transaction databases;
Conference_Titel :
Data Engineering, 1989. Proceedings. Fifth International Conference on
Conference_Location :
Los Angeles, CA
Print_ISBN :
0-8186-1915-5
DOI :
10.1109/ICDE.1989.47257