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Benchmarking for Stability Evaluation of Computer Systems

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Knowledge Engineering and Management

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 214))

Abstract

In this paper we propose a new benchmark to drive making decisions in maintenance of computer systems. This benchmark is made from load average sample data. The main goal is to improve reliability and performance of a set of devices or components. In particular, the stability of the system is measured in terms of variability of the load. A forecast of the behavior of this stability is also proposed as part of the reporting benchmark. At the final stage, a more stable system is obtained and its global reliability and performance can be then evaluated by means of appropriate specifications.

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References

  1. López V (2007) Performance and reliability of computer systems. EME-Editorial, Madrid

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Author information

Authors and Affiliations

  1. Mobile Technologies and Biotechnology Research Group (G-TeC), Complutense University, Madrid, Spain

    Victoria Lopez & Guadalupe Miñana

  2. Mobile Technologies and Biotechnology Research Group (G-TeC), Complutense University, Madrid, Spain

    Juan Tejada

  3. Mobile Technologies and Biotechnology Research Group (G-TeC), Industrial Organization Department, P. Comillas University, Madrid, Spain

    Raquel Caro

Authors
  1. Victoria Lopez
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  2. Guadalupe Miñana
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  3. Juan Tejada
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  4. Raquel Caro
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Corresponding author

Correspondence to Victoria Lopez .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, China, People's Republic

    Fuchun Sun

  2. School of Information Science and Technology, Southwest Jiaotong University, Chengdu, China, People's Republic

    Tianrui Li

  3. Department of Computer Science and Techn, Tsinghua University, Beijing, China, People's Republic

    Hongbo Li

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© 2014 Springer-Verlag Berlin Heidelberg

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Lopez, V., Miñana, G., Tejada, J., Caro, R. (2014). Benchmarking for Stability Evaluation of Computer Systems. In: Sun, F., Li, T., Li, H. (eds) Knowledge Engineering and Management. Advances in Intelligent Systems and Computing, vol 214. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37832-4_46

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  • DOI: https://doi.org/10.1007/978-3-642-37832-4_46

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37831-7

  • Online ISBN: 978-3-642-37832-4

  • eBook Packages: EngineeringEngineering (R0)

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