Skip to main content

A DCaaS Model of DNA Computing for Solving a Class of Nonlinear Problems

  • Conference paper
Pervasive Computing and the Networked World (ICPCA/SWS 2012)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 7719))

  • 3829 Accesses

Abstract

A class of new cloud computing model DCaaS is proposed. This model combines traditional DNA computing with SaaS model. The main advantage of DCaaS model is to separate biological experiments with DNA computing, and obtain biological operations as a service via DNA programs. As application frame, approximate solution of a class of nonlinear problems is presented.

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 84.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 109.99
Price excludes VAT (USA)
  • Compact, lightweight 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. Adleman, L.M.: Molecular computation of solutions to combinatorial problems. Science 266, 1021–1023 (1994)

    Article  Google Scholar 

  2. Bai, Z.B., Ge, W.G., Wang, Y.F.: The method of lower and upper solution for some fourth-order equations. J. Inequalities in Pure and Applied Math. 5, 1–17 (2004)

    MathSciNet  Google Scholar 

  3. Guo, D.: Nonlinear functional analysis. Shandong Science and Technology Press, Jinan (1985)

    Google Scholar 

  4. Hao, Y., Zhang, X.P., Shen, Z.Y., Seeman, N.C.: A robust DNA mechanical device controlled by hybridization topology. Nature 415, 62–65 (2002)

    Article  Google Scholar 

  5. Tom, H.: Formal language theory and DNA: an analysis of the generative capacity of specific recombinant behaviors. Bulletin of Mathematical Biology 49, 737–759 (1987)

    MathSciNet  Google Scholar 

  6. Jonoska, N., Karl, S.A., Saito, M.: Three dimensional DNA structures in computing. Biosystems 52, 143–153 (1999)

    Article  Google Scholar 

  7. Sakamoto, K., Sakamoto, K., Gouzu, H., Komiya, K., Kiga, D., Yokoyama, S., Yokomori, T., Hagiya, M.: Molecular computation by DNA hairpin formation. Science 288, 1223–1226 (2000)

    Article  Google Scholar 

  8. Li, R.-H., Yu, W.: An exploration of the principles of DNA computation. Chinese J. Computers 24, 972–978 (2001)

    Google Scholar 

  9. Lipton, R.J.: DNA solution of hard computational problems. Science 268, 542–545 (1995)

    Article  Google Scholar 

  10. Pang, C., Dong, W., Wei, Z.: Multiple solutions for fourth-order boundary value problem. J. Math. Anal. Appl. 314, 464–476 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  11. Paun, G., Rozenberg, G., Salomaa, A.: DNA computing, new computing paradigms. Springer, Heidelberg (2010)

    Google Scholar 

  12. Abu Bakar, R.B., Watada, J., Pedrycz, W.: DNA approach to solve clustering problem based on a mutual order. BioSystems 91, 1–12 (2008)

    Article  Google Scholar 

  13. Deaton, R., Garzon, M., Rose, J., Franceschetti, D.R., Stevens Jr., S.E.: DNA computing: a Review. Fundamenta Informaticae 30, 23–41 (1997)

    Google Scholar 

  14. Xu, J., Zhang, S.-M., Fan, Y.-K., Guo, Y.-A.: DNA computer principle, advances and difficulties (III): the structure and character of “data” in DNA computing. Chinese Journal of Computers 30, 869–880 (2007)

    MathSciNet  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2013 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Liu, X., Xiang, L., Yu, X. (2013). A DCaaS Model of DNA Computing for Solving a Class of Nonlinear Problems. In: Zu, Q., Hu, B., Elçi, A. (eds) Pervasive Computing and the Networked World. ICPCA/SWS 2012. Lecture Notes in Computer Science, vol 7719. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-37015-1_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-37015-1_29

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-37014-4

  • Online ISBN: 978-3-642-37015-1

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics