A framework for the performance analysis of concurrent B-tree algorithms

Many concurrent B-tree algorithms have been proposed, but they have not yet been satisfactorily analyzed. When transaction processing systems require high levels of concurrency, a restrictive serialization technique on the B-tree index can cause a bottleneck. In this paper, we present a framework for constructing analytical performance models of concurrent B-tree algorithms. The models can predict the response time and maximum throughput. We analyze three algorithms: Naive Lock-coupling, Optimistic Descent, and the Lehman-Yao algorithm. The analyses are validated by simulations of the algorithms on actual B-trees. Simple and instructive rules of thumb for predicting performance are also derived. We apply the analyses to determine the effect of database recovery on B-tree concurrency.