Performance analysis of dynamic finite versioning for concurrent transaction and query processing

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Abstract
In this paper, we analyze the performance of dynamic finite versioning (DFV) schemes for concurrent transaction and query processing, where a finite number of consistent snapshots can be derived for query access. We develop analytical models based on a renewal process approximation to evaluate the performance of DFV using M ≥ 2 snapshots. The storage overhead and obsolescence faced by queries are measured. Simulation is used to validate the analytical models and to evaluate the trade-offs between various starategies for advancing snapshots when M 2.The results show that (1) the analytical models match closely with simulation; 2) both the storage overhead and obsolescence are sensitive to the snapshot-advancing strategies, especially for M 2 snapshots; and (3) generally speaking, increasing the number of snapshots demonstrates a trade-off between storage overhead and query obsolescence. For cases with skewed access or low update rates, a moderate increase in the number of snapshots beyond 2 can substantially reduce the obsolescence, while the storage overhead may increase only slightly, or even decrease in some cases. Moreover, for very low update rates, a large number of snapshots demonstrates a trade-off between storage overhead and query obsolescence. For cases with skewed access or low update rates, a moderate increase in the number of snapshots beyond 2 can substantially reduce the obsolescence, while the storage overhead may increase only slightly, or even decrease in some cases. Moreover, for very low update rates, a large number of snapshots can be used to reduce the obsolescence to almost zero without increasing the storage overhead.

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