The need for speed in database manipulation: This paper addresses the challenge of efficiently manipulating binary search trees in concurrent environments. The presented systems allow any number of concurrent processes to perform searching, insertion, deletion, and rotation operations on the tree, while ensuring that each process locks only a constant number of nodes at any given time. The systems ensure that searches are essentially never blocked. The concurrency control techniques used include special nodes and pointers to redirect searches, and the use of copies of sections of the tree to introduce many changes simultaneously, and therefore avoid unpredictable interleaving. The development of concurrency control techniques allows for more efficient and reliable database management. The developed methods might offer new solutions to concurrent database manipulation, increasing performance and data consistency. This research offers valuable insights for database designers seeking to optimize concurrency control and improve the performance of data-intensive applications.
Published in ACM Transactions on Database Systems, this paper aligns with the journal's focus on database management and concurrency control. The research addresses a core challenge in database systems—efficiently managing concurrent operations on data structures. By introducing new techniques for concurrent manipulation of binary search trees, the paper provides valuable contributions to the field of database systems.