Abstract
Data distribution, data replication and system reliability are key factors in determining the availability measures for transactions in distributed database systems. In order to simplify the evaluation of these measures, database designers and researchers tend to make unrealistic assumptions about these factors. In this article, we investigate the effect of such assumptions on the computational complexity and accuracy of such evaluations. We represent a database system with five parameters related to the above factors. Probabilistic analysis is employed to evaluate the availability of read-only and read-write transactions. We consider both the read-one/write-all and the majority-read/majority-write replication control policies. We conclude that transaction availability is more sensitive to variations in degrees of replication, less sensitive to data distribution, and insensitive to reliability variations in a nonhomogeneous system. The computational complexity of the evaluations is found to be mainly determined by the chosen distributed database model, while the accuracy of the results is not so much dependent on the models.
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