Abstract
This paper describes a design and development of an intelligence balancing for communication data management in a grid computing. The intelligence balancing allows to execute a complex large-scale grid computing system and share dispersed data assets collaboratively. After a brief review of communication data management, we discuss the design issue of the intelligence balancing. We analyze system performance and scalability, especially with non-intelligence and intelligence-based configuration. The empirical result on the heterogeneous OS distributed system indicates the intelligence balancing is effective and scalable due to the use of communication data reduction.
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© 2004 Springer-Verlag Berlin Heidelberg
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Lee, J.S. (2004). Intelligence Balancing for Communication Data Management in Grid Computing. In: Li, M., Sun, XH., Deng, Q., Ni, J. (eds) Grid and Cooperative Computing. GCC 2003. Lecture Notes in Computer Science, vol 3033. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-24680-0_45
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DOI: https://doi.org/10.1007/978-3-540-24680-0_45
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-21993-4
Online ISBN: 978-3-540-24680-0
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