Scientific Data Sharing Using Clustered-Based Data Sharing in Grid Environment
Rohaya Latip, Hamidah Ibrahim and Feras Ahmad Al-Hanandeh
DOI : 10.3844/ajebasp.2011.146.149
American Journal of Economics and Business Administration
Volume 3, Issue 1
Problem statement: In a large dynamic network, data can be shared and accessed in an easy manner among researchers from various locations and access provided an efficient protocol to manage the data. Approach: A protocol is needed to ensure the data is consistent and accessible. Results: In this study, we introduced a new protocol, named Clustered-based Data Sharing (CDS) for data sharing in a large dynamic network such as grid computing by using Clustered-based techniques to improve the accessibility. This is due to Clustered-based techniques can ensure that the data is accessible among the members of the grid. To evaluate our model, we developed a simulation model in Java. Conclusion/Recommendations: Our results show that CDS achieves high data accessibility even when the number of nodes or sites is increasing.
© 2011 Rohaya Latip, Hamidah Ibrahim and Feras Ahmad Al-Hanandeh. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.