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The Improved Evaluation of Virtual Resources’ Performance Algorithm Based on Computer Clusters

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Book cover Computational Intelligence and Intelligent Systems (ISICA 2015)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 575))

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Abstract

After analyzing the four aspects of cloud computing, storage, network, infrastructure, and combining the fuzzy evaluation method in fuzzy mathematics theory, the quantitative index and qualitative index are combined to realize the virtual resource performance evaluation. This method breaks through the limitation of the previous evaluation system, and establishes a performance evaluation system based on multi-level fuzzy evaluation. Through the analysis of a case, it is proved that the proposed method can evaluate the resource performance more comprehensively, This will have a certain application value and significance for the research of resource management and scheduling based on cloud computing.

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Acknowledgment

This project is supported by Guangdong Province’s the teaching reform project of higher education in 2015.

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Authors and Affiliations

  1. Department of Computer Science, Guangdong University of Science and Technology, Dongguan, Guangdong, China

    Suping Liu

Authors
  1. Suping Liu
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Corresponding author

Correspondence to Suping Liu .

Editor information

Editors and Affiliations

  1. College of Mathematics and Informatics, The South China Agricultural University, Guangzhou, China

    Kangshun Li

  2. School of Computer Science, Guangzhou University, Guangzhou, China

    Jin Li

  3. School of Computer Science and Engineeri, The University of Aizu, Aizu-Wakamatsu, Fukushima, Japan

    Yong Liu

  4. Dept. of Informatics, University of Salerno, Fisciano, Italy

    Aniello Castiglione

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Liu, S. (2016). The Improved Evaluation of Virtual Resources’ Performance Algorithm Based on Computer Clusters. In: Li, K., Li, J., Liu, Y., Castiglione, A. (eds) Computational Intelligence and Intelligent Systems. ISICA 2015. Communications in Computer and Information Science, vol 575. Springer, Singapore. https://doi.org/10.1007/978-981-10-0356-1_19

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  • DOI: https://doi.org/10.1007/978-981-10-0356-1_19

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-0355-4

  • Online ISBN: 978-981-10-0356-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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