Skip to main content

Fluid Analysis for a PEPA Model

  • Conference paper
  • First Online:
Proceedings of the 2015 Chinese Intelligent Systems Conference

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

Abstract

It is, as the state space explosion problem indicates, not uncommon that tremendous complexity and size of a system would annoyingly quiver the performance of discrete state-based modeling formalisms. The past few years, however, have inspiringly witnessed a brand new PEPA-based strategy offering a feasible solution against such disturbing puzzle. Via PEPA, a family of ordinary differential equations (ODEs) is figured out as continuous state space approximation. This paper establishes some significant properties for the fluid approximation of a PEPA model, including the existence, uniqueness, boundedness and convergence of the derived ODEs solution.

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 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
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

References

  1. Hillston J (1996) A compositional approach to performance modelling, PhD Thesis, Cambridge University Press

    Google Scholar 

  2. Bernardo M, Gorrieri R (1998) A tutorial on EMPA: a theory of concurrent processes with nondeterminism, priorities, probabilities and time. Theor. Comput. Sci. 202:1–54

    Article  MathSciNet  MATH  Google Scholar 

  3. Götz N, Herzog U, Rettelbach M (1992) TIPP—a language for timed processes and performance evaluation. Technical report, 4/92, IMMD7, University of Erlangen-Nörnberg, Germany, November 1992

    Google Scholar 

  4. Hillston J (2005) Fluid flow approximation of PEPA models. In: International conference on the quantitative evaluation of systems (QEST’05). IEEE Computer Society

    Google Scholar 

  5. Benoit A, Cole M, Gilmore S, Hillston J (2005) Enhancing the effective utilisation of grid clusters by exploiting on-line performability analysis. In: Proceedings of the first internatial workshop on grid performability, May 2005

    Google Scholar 

  6. Calder M, Gilmore S, Hillston J (2006) Modelling the influence of RKIP on the ERK signalling pathway using the stochastic process algebra PEPA. In: Lecture Notes in Computer Science, vol 4230, pp 1–23. Springer (2006)

    Google Scholar 

  7. Ding J, Hillston J, Laurenson D (2009) Performance modelling of content adaptation for a personal distributed environment. Wirel Pers Commun 48:93–112

    Article  Google Scholar 

  8. Ding J, Zhu XS, Li B (2012) On the fluid approximation of a PEPA model. J Comput Inf Syst 8(22):9259–9267

    Google Scholar 

  9. Ding J (2015) Structural and fluid analysis of large scale PEPA models—with applications to content adaptation systems. Ph.D. thesis, The Univeristy of Edinburgh (2010). http://www.dcs.ed.ac.uk/pepa/jie-ding-thesis.pdf, Accessed 16 June 2015

  10. Clark A, Duguid A, Gilmore S, Hillston J (2008) Espresso, a little coffee. In: Proceedings of the 7th workshop on process algebra and stochastically timed acitvities (2008)

    Google Scholar 

  11. Hubbard JH, West BH (1990) Differential equations: a dynamical systems approach (higher-dimensional systems). No. 18 in Texts in Applied Mathematics, Springer, Berlin (1990)

    Google Scholar 

Download references

Acknowledgments

The work is supported by the NSF of China under Grant No. 61472343, and the NSF of Jiangsu Province of China under Grants BK2012683 and BK20140492.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Xinshan Zhu .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2016 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ding, J., Zhu, X., Wang, M. (2016). Fluid Analysis for a PEPA Model. In: Jia, Y., Du, J., Li, H., Zhang, W. (eds) Proceedings of the 2015 Chinese Intelligent Systems Conference. Lecture Notes in Electrical Engineering. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-48365-7_19

Download citation

  • DOI: https://doi.org/10.1007/978-3-662-48365-7_19

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-662-48363-3

  • Online ISBN: 978-3-662-48365-7

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics