How can database systems manage concurrent access to shared data while ensuring data consistency? This paper presents a comprehensive theory for analyzing the correctness of concurrency control algorithms in multiversion database systems. In multiversion systems, each write operation generates a new version of the data item, allowing multiple versions to coexist. The paper leverages this feature to develop a theory for verifying concurrency control algorithms, ensuring that the final execution has the same effect as a serial, non-interleaved execution. This paper presents a theory for analyzing the correctness of concurrency control algorithms for multiversion database systems. We use the theory to analyze some new algorithms and some previously published ones. The developed theory provides a framework for designing and evaluating multiversion concurrency control algorithms, contributing to enhanced database performance and reliability. The paper analyzes several existing and novel algorithms within this framework, offering insights into their correctness and efficiency.
Being featured in ACM Transactions on Database Systems signifies this paper's strong alignment with the journal's aims. Focusing on database concurrency control, the paper provides relevant theoretical insights and algorithmic analysis to enhance database management systems.