Towards Parallel Processing of Similarity Retrieval System of Time Series

Abstract

This paper uses Postgre SQL, a database management system, in the data management of the similarity retrieval of subsequences of waveforms. By using Postgre SQL, the management of data could become easy, and a multi-dimensional index structure named the R tree could be used. This paper examines the parallel processing of the similarity retrieval by dividing a table into several tables. It is shown that high retrieval performance can easily be obtained by using a high performance computer. It is shown that using Postgre SQL could make the division of a table easy because R tree indexes are automatically constructed.