Abstract
Main issues to be faced by next-generation Grids are the management and exploitation of the overwhelming amount of data produced by applications but also by Grid operation, and the intelligent use of Grid resou-rces and services. To achieve these very ambitious goals, next-generation Grids should include knowledge discovery and knowledge management functionalities, for both applications and system management. This paper proposes a fuzzy assessment method. The assessment of Next-generation Grids is composed of objective and subjective assessment. The results manifest that the assessment method is effective through testing in some system.
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Ye, C., Xiong, F., Luo, Q. (2007). Research on Next Generation Grids Using a Fuzzy Assessment Method. In: Torra, V., Narukawa, Y., Yoshida, Y. (eds) Modeling Decisions for Artificial Intelligence. MDAI 2007. Lecture Notes in Computer Science(), vol 4617. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73729-2_11
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DOI: https://doi.org/10.1007/978-3-540-73729-2_11
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73728-5
Online ISBN: 978-3-540-73729-2
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