Abstract
There is an increasing demand to execute complex large-scale grid computing systems and to share dispersed data assets and computing resources collaboratively. To perform grid computing within reasonable communication and computation resources, this paper introduces a scalable data management approach and its framework. This paper presents a design and development of the framework which performs the scalable data management approach. For development of this framework, this paper uses a hierarchical and modular object-oriented technology supported by a system modeling theory and specification. The framework provides a superior solution to reduce data traffic loads and local computation demands with a practical application.
This work was supported by INHA UNIVERSITY Research Grant. (INHA-31414)
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Lee, J.S. (2004). Scalable Data Management Modeling and Framework for Grid Computing. In: Jin, H., Pan, Y., Xiao, N., Sun, J. (eds) Grid and Cooperative Computing - GCC 2004. GCC 2004. Lecture Notes in Computer Science, vol 3251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30208-7_137
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DOI: https://doi.org/10.1007/978-3-540-30208-7_137
Publisher Name: Springer, Berlin, Heidelberg
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