A Forest of Hashed Binary Search Trees with Reduced Internal Path Length and better Compatibility with the Concurrent Environment
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10.5120/4056-5830 |
Vinod Prasad. Article: A Forest of Hashed Binary Search Trees with Reduced Internal Path Length and better Compatibility with the Concurrent Environment. International Journal of Computer Applications 33(10):17-21, November 2011. Full text available. BibTeX
@article{key:article,
author = {Vinod Prasad},
title = {Article: A Forest of Hashed Binary Search Trees with Reduced Internal Path Length and better Compatibility with the Concurrent Environment},
journal = {International Journal of Computer Applications},
year = {2011},
volume = {33},
number = {10},
pages = {17-21},
month = {November},
note = {Full text available}
}
Abstract
We propose to maintain a Binary Search Tree in the form of a forest in such a way that – (a) it provides faster node access and, (b) it becomes more compatible with the concurrent environment. Using a small array, the stated goals were achieved without applying any restructuring algorithm. Empirically, we have shown that the proposed method brings down the total internal path-length of a Binary Search Tree quite considerably. The experiments were conducted by creating two different data structures using the same input - a conventional binary search tree, and a forest of hashed trees. Our empirical results suggest that the forest so produced has lesser internal path length and height in comparison to the conventional tree. A binary search tree is not a well-suited data structure for concurrent processing. The evidence also shows that maintaining a large tree in form of multiple smaller trees (forest) increases the degree of parallelism.
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