Title :
Concurrent Search and Insertion in AVL Trees
Author :
Ellis, Carla Schlatter
Author_Institution :
Department of Computer Science, University of Rochester
Abstract :
This paper addresses the problem of concurrent access to dynamically balanced binary search trees. Specifically, two solutions for concurrent search and insertion in AVL trees are developed. The first solution is relatively simple and is intended to allow several readers to share nodes with a writer process. The second solution uses the first as a starting point and introduces additional concurrency among writers by applying various parallelization techniques. Simulation results used to evaluate the parallel performance of these algorithms with regard to the amount of concurrency achieved and the parallel overhead incurred are summarized.
Keywords :
Concurrent access; data bases; parallel processing; performance evaluation; search trees; Binary search trees; Computer science; Concurrent computing; Data structures; Image retrieval; Information science; Parallel algorithms; Parallel processing; Terminology; Tree data structures; Concurrent access; data bases; parallel processing; performance evaluation; search trees;
Journal_Title :
Computers, IEEE Transactions on
DOI :
10.1109/TC.1980.1675680