Concurrent Information Retrieval System (IRS) for Large Volume of Data with Multiple Pattern Multiple ( $$2^\mathrm{N}$$ 2 N ) Shaft Parallel String Matching

Abstract

The internet revolution has made the digital information easy to capture, process, store, distribute, and transmit. There is a significant development in computation and related technologies. In different walks of life, there is ever expanding usage of these technologies. As a result there is a continuous collection and storage of huge amount of data of diverse characteristics in data bases. It is indeed a challenge for the retrieval of information from this enormous amount of data. The information retrieval is an attempt to make sense of the information explanation embedded in this huge volume of data. All these aspects suggest the need of intelligent data retrieval methodologies for the retrieval of useful information. In this paper, as a concurrent information retrieval system (IRS) with multiple pattern multiple ( $$2^\mathrm{N})$$ shaft sequential and parallel string matching algorithms is proposed. The proposed approach concurrently retrieves the searching information from huge volume of data. Experimental results have shown that the proposed string matching algorithms reduced the search time very well in both the sequential and parallel environments.