Skip to main content

The P System Model for Solving Deadlock

  • Conference paper
Book cover Future Intelligent Information Systems

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 86))

Abstract

The P systems are a class of novel computing models which are abstracted from the mechanism of the living cells, and the structure and function of the cells and tissues, organs consisting of the cells. They have distributed, maximum parallel features. This paper presents a P system model to remove deadlock. The P system model of degree m is used to simulate the procedure of removing deadlock processes, and we can make the best choice to determine which deadlock process should be killed. The proposed model can solve the problem in a linear time complexity, and is superior to the traditional methods.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 259.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Păun, G., Rozenberg, G., Salomaa, A.: DNA Computing: New Computing Paradigms. Springer, Heidelberg (2002)

    Google Scholar 

  2. Păun, G., Rozenberg, G., Salomaa, A.: The Oxford Handbook of Membrane Computing. Oxford University Press, New York (2010)

    MATH  Google Scholar 

  3. Păun, G.: Computing with Membranes. Journal of Computer and System Sciences 61, 112–114 (2000)

    Google Scholar 

  4. Păun, G., Suzuki, Y., Tanaka, H., Yokomori, T.: On the Power of Membrane Division in P Systems. Theoretical Computer Science 324(1), 61–85 (2004)

    Article  MathSciNet  MATH  Google Scholar 

  5. Bernardini, F., Gheorghe, M.: Cell Communication in Tissue P Systems: Universality results. Soft Computing 9(9), 640–649 (2005)

    Article  MATH  Google Scholar 

  6. Păun, A., Păun, G.: Small Universal Spiking Neural P systems. Biosystems 90(1), 48–60 (2007)

    Article  Google Scholar 

  7. Păun, G.: Introduction to Membrane Computing. In: Proceedings of Brainstorming Workshop on Uncertainty in Membrane Computing. Palma de Mallorca, España, pp. 1–42 (2004)

    Google Scholar 

  8. Tanenbaum, A.S.: Modern Operating Systems, 2nd edn., pp. 163–174 (2002)

    Google Scholar 

  9. Nutt, G.J.: Operating Systems, 3rd edn., pp. 376–392 (2005)

    Google Scholar 

  10. Tang, Z.Y., Zhe, F.P., Tang, X.D.: Computer Operating Systems, pp. 100–101 (2001)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Wang, K., Peng, H., Zhu, C., Fan, Y., Wang, H. (2011). The P System Model for Solving Deadlock. In: Zeng, D. (eds) Future Intelligent Information Systems. Lecture Notes in Electrical Engineering, vol 86. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19706-2_15

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-19706-2_15

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-19705-5

  • Online ISBN: 978-3-642-19706-2

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics