The large-scale distributed dataset searching faced dynamicity, heterogeneity, and latency issues that emphasize the importance of approach to orchestrate the search operations. The growth of grid computing gives a reliable environment for the effective usage of this distributed huge dataset. In order to build effective and efficient searching technique, varieties of researches were developed based on grid technology. The goal of such researches is to solve interoperability and heterogeneous of the data sets, and increase the efficiency of search techniques by harnessing the grid computing capabilities. This paper reviews and analyzes the search techniques carried out in the domain of large-scale dataset search based on a grid. Several searching approaches are studied to identify which attributes are ignored and which are considered. The techniques are evaluated depending on the aforementioned attributes and are presented in a table. The contribution of this study is to illustrate the characteristics, capabilities and limitations of existing solutions that can guide the researchers in this evolving area. HighlightsIssues involved in Grid-Based massive data search techniques are being discussed.Criteria such as real time search, online data, and search technique are explained.Features such as research Field, UI, automate grid Tasks, architecture are discussed.Explanation table to Identify Open issues and help future data search techniques.
['Mohammed Bakri Bashir', 'Muhammad Shafie Abd Latiff', 'Yahaya Coulibaly', 'Adil Yousif']
A survey of grid-based searching techniques for large scale distributed data