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

Author

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  • Rohaya Latip
  • Hamidah Ibrahim
  • Feras Ahmad Al-Hanandeh

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.

Suggested Citation

  • Rohaya Latip & Hamidah Ibrahim & Feras Ahmad Al-Hanandeh, 2011. "Scientific Data Sharing Using Clustered-Based Data Sharing in Grid Environment," American Journal of Economics and Business Administration, Science Publications, vol. 3(1), pages 146-149, January.
    • Handle: RePEc:abk:jajeba:ajebasp.2011.146.149
    DOI: 10.3844/ajebasp.2011.146.149
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    Cited by:

    1. Wan Hussain Wan Ishak, 2011. "A Review Note of KMICe 2010: Knowledge Management Initiatives to Improve Organization Performance," American Journal of Economics and Business Administration, Science Publications, vol. 3(1), pages 219-223, March.

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