Grid-based Search Technique for Massive Academic Publications

TL;DR

This paper introduces a grid-based search method leveraging grid computing technology to efficiently search and access massive, distributed academic publications, significantly improving search performance.

Contribution

It proposes a novel grid service-based search technique specifically designed for large-scale, distributed academic data, enhancing search efficiency and accessibility.

Findings

Improved search performance demonstrated through experiments

Effective access to distributed academic data sources

Enhanced scalability for large publication datasets

Abstract

The numerical size of academic publications that are being published in recent years had grown rapidly. Accessing and searching massive academic publications that are distributed over several locations need large amount of computing resources to increase the system performance. Therefore, many grid-based search techniques were proposed to provide flexible methods for searching the distributed extensive data. This paper proposes search technique that is capable of searching the extensive publications by utilizing grid computing technology. The search technique is implemented as interconnected grid services to offer a mechanism to access different data locations. The experimental result shows that the grid-based search technique has enhanced the performance of the search.