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Research on Next Generation Grids Using a Fuzzy Assessment Method

  • Conference paper
Modeling Decisions for Artificial Intelligence (MDAI 2007)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4617))

  • 1575 Accesses

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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References

  1. Berman, F.: From TeraGrid to Knowledge Grid. CACM 44(11), 27–28 (2001)

    Google Scholar 

  2. Lyytinen, K., Yoo, Y.: Issues and Challenges in Ubiquitous Computing. CACM 45(12), 62–65 (2002)

    Google Scholar 

  3. Schoder, D., Fischbach, K.: Peer-to-Peer Prospects. CACM 46(2), 27–29 (2003)

    Google Scholar 

  4. Talia, D., Trunfio, P.: Toward a Synergy between P2P and Grids. IEEE Internet Computing 7(4), 94–96 (2003)

    Article  Google Scholar 

  5. Zhuge, H.: A knowledge grid model and platform for global knowledge sharing, Expert System, pp. 313–320 (2002)

    Google Scholar 

  6. Zhuge, H.: Clustering soft-devices in semantic grid. IEEE Computing 4(6), 60–63 (2002)

    Google Scholar 

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Authors and Affiliations

  1. School of Management, Wuhan University of Technology, Wuhan 430070, China

    Chunyang Ye & Feng Xiong

  2. Ningbo Universitiy, Ningbo, 315211, China

    Chunyang Ye & Feng Xiong

  3. College of Engineering and Technology, Southwest University, Chongqing 400715, China

    Qi Luo

  4. Information Engineering school,Wuhan University of Science and Technology and Zhongnan Branch,Wuhan 430223, China

    Qi Luo

Authors
  1. Chunyang Ye
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  2. Feng Xiong
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  3. Qi Luo
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Editor information

Vicenç Torra Yasuo Narukawa Yuji Yoshida

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© 2007 Springer-Verlag Berlin Heidelberg

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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

  • eBook Packages: Computer ScienceComputer Science (R0)

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