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Impact of Non-schedulability on Embedded System Performance

  • Conference paper
Advances in Neural Networks – ISNN 2009 (ISNN 2009)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 5551))

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Abstract

The uncertainty factors of real-time tasks during runtime affect the control performance owing to system resources and processor utilization restriction. The impact of non-schedulability on embedded system performance is deeply researched in this paper. First, the time characteristics such as sampling jitter, input-output jitter and non-schedulability are discussed. Then the schedulability analyses of the rate monotonic (RM) algorithm and the earliest deadline first (EDF) algorithm are introduced. Finally, using RM algorithm, an example, DC servo motor controller, is use to illuminate the impact of non-schedulable jobs on system performance. The experiment results indicate that it is extremely important to reduce, even eliminate the non-schedulable jobs for improving embedded system performance.

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References

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Author information

Authors and Affiliations

  1. College of Computer Science & Engineering, South China University of Technology, Guangzhou, 510006, China

    Jiafu Wan & Ping Zhang

  2. Guangdong Vocational College of Mechanical and Electrical Technology, Guangzhou, 510515, China

    Jiafu Wan & Hehua Yan

  3. School of Mechanical & Automotive Engineering, South China University of Technology, Guangzhou, 510641, China

    Di Li

Authors
  1. Jiafu Wan
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  2. Di Li
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  3. Hehua Yan
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  4. Ping Zhang
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Editor information

Editors and Affiliations

  1. Departamento de Control Automático, CINVESTAV-IPN, A.P. 14-740, Av.IPN 2508, 07360, México D.F., México

    Wen Yu

  2. Deptartment of Electrical and Computer Engineering, Stevens Institute of Technology, NJ 07030, Hoboken, USA

    Haibo He

  3. Dept. of Electrical and Computer Engineering, South Dakota School of Mines & Technology, 501 E. St. Joseph Street, Rapid City, SD 57701, USA

    Nian Zhang

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© 2009 Springer-Verlag Berlin Heidelberg

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Wan, J., Li, D., Yan, H., Zhang, P. (2009). Impact of Non-schedulability on Embedded System Performance. In: Yu, W., He, H., Zhang, N. (eds) Advances in Neural Networks – ISNN 2009. ISNN 2009. Lecture Notes in Computer Science, vol 5551. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01507-6_135

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  • DOI: https://doi.org/10.1007/978-3-642-01507-6_135

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-01506-9

  • Online ISBN: 978-3-642-01507-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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