ART Based Predictive Caching System for XML P2P Database

Caching and prefetching are well known strategies for improving the performance of XML(eXtensible Markup Language) database systems. When combined with query results clustering, these strategies can decide to cache and prefetch XML documents with higher accuracy. In this paper, we present a predictive system for caching XML P2P database. Our method for clustering XML query results is based on the ART1 neural nets. We compare the quality of caching replacement strategy basing on ART1 with that of the LRU caching strategy. The results of our study show that our method can improve the caching performance of XML P2P database.