Analyzing the Performance: B-trees vs. Red-Black Trees with Caching Strategies

The objective of this comparison study is to evaluate the effectiveness of B-trees and Red-black trees when used in conjunction with caching strategies. Red-black trees and B-trees are both frequently used data structures for effectively storing and retrieving huge datasets. Contrarily, caching is a widely used approach that keeps frequently accessed data in a quick memory, like RAM, to improve the performance of data access operations. In this study, we analyse the effect of caching using several measures, including search time, cache hit rate, and cache eviction rate, to assess how caching affects the performance of Red-black and B-trees. The findings of this study can assist developers select the best mix of data structures and caching methods for their particular use case by illuminating the advantages and disadvantages of each data structure and caching method.The dataset used for this study consists of integer keys that are inserted in the data structures. Integrating caching techniques in B-tree operations yields a notable performance boost, reducing the execution time from 1e-06s without caching to a mere 7e-07s with caching. The caching strategy implemented for the Red-Black Tree did not prove to be efficient, as evidenced by an increase in search time from 600 to 3500 ns. Reevaluation and optimization may be necessary to enhance performance.