Title: Grid-based architecture for sharing distributed massive datasets

Authors: Mohammed Bakri Bashir; Muhammad Shafie Abd Latiff; Adil Yousif

Addresses: Department of Computer Science, Faculty of Science and Technology, Shendi University, Shendi, Sudan; Computer Science Department, Nahda College, Khartoum, Sudan ' Department of Computer Science, Faculty of Computing, Universiti Teknologi Malaysia, Johor, Malaysia ' Department of Computer Science, Faculty Computer Science and IT, University of Science and Technology, Khartoum, Sudan

Abstract: In large-scale distributed dataset sharing systems, challenges of dynamicity, heterogeneity, and latency emphasise the importance of infrastructural support in enhancing the system performance. The growth of grid computing gives a reliable environment for the effective usage of this distributed huge dataset. In order to build efficient sharing architecture, varieties of architectures were developed based on grid technology. The goal of such architecture is to solve interoperability and heterogeneous resource issues, and increase the efficiency and effectiveness of sharing techniques by harnessing the grid computing capabilities. This study proposes grid-based sharing architecture for distributed massive datasets. The architecture is considering a mediator between the users and the data providers. The experiments conducted to evaluate the performance of the architecture by measuring the grid overhead, throughput, and scalability of the architecture. The result shows that the architecture has reasonable performance and can be scalable with the growing data and computing nodes.

Keywords: grid computing; massive data; grid-based architecture; sharing architectures; communication networks; distributed datasets; big data; data sharing; interoperability.

DOI: 10.1504/IJCNDS.2015.070980

International Journal of Communication Networks and Distributed Systems, 2015 Vol.15 No.2/3, pp.248 - 264

Received: 25 Jul 2014
Accepted: 07 Feb 2015

Published online: 02 Aug 2015 *

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