Scientific Data Sharing Using Clustered-Based Data Sharing in Grid Environment

Rohaya Latip, Hamidah Ibrahim and Feras Ahmad Al-Hanandeh

American Journal of Economics and Business Administration, 2011, vol. 3, issue 1, 146-149

Abstract: 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.

Keywords: Data sharing; cluster grid; data accessibility; Clustered-based Data Sharing (CDS) (search for similar items in EconPapers)
Date: 2011
References: View complete reference list from CitEc
Citations: View citations in EconPapers (1)

Downloads: (external link)
https://thescipub.com/pdf/ajebasp.2011.146.149.pdf (application/pdf)
https://thescipub.com/abstract/ajebasp.2011.146.149 (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:abk:jajeba:ajebasp.2011.146.149

DOI: 10.3844/ajebasp.2011.146.149

Access Statistics for this article

More articles in American Journal of Economics and Business Administration from Science Publications
Bibliographic data for series maintained by Jeffery Daniels ().