Skip to main content

On Solving the Rooted Delay- and Delay-Variation-Constrained Steiner Tree Problem

  • Conference paper
Combinatorial Optimization (ISCO 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7422))

Included in the following conference series:

  • 2024 Accesses

Abstract

We present mixed integer programming approaches for optimally solving a combinatorial optimization problem arising in network design with additional quality of service constraints. The rooted delay- and delay-variation-constrained Steiner tree problem asks for a cost-minimal Steiner tree satisfying delay-constraints from source to terminals and a maximal variation-bound between particular terminal path-delays. Our MIP models are based on multi-commodity-flows and a layered graph transformation. For the latter model we propose some new sets of valid inequalities and an efficient separation method. Presented experimental results indicate that our layered graph approaches clearly outperform the flow-based model.

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 39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 54.99
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. Ahuja, R.K., Magnanti, T.L., Orlin, J.B.: Network flows: theory, algorithms, and applications. Prentice Hall (1993)

    Google Scholar 

  2. Cherkassky, B.V., Goldberg, A.V.: On Implementing the Push-Relabel Method for the Maximum Flow Problem. Algorithmica 19(4), 390–410 (1997)

    Article  MathSciNet  MATH  Google Scholar 

  3. Gouveia, L.: Multicommodity flow models for spanning trees with hop constraints. European Journal of Operational Research 95(1), 178–190 (1996)

    Article  MATH  Google Scholar 

  4. Gouveia, L., Paias, A., Sharma, D.: Modeling and solving the rooted distance-constrained minimum spanning tree problem. Computers & Operations Research 35(2), 600–613 (2008)

    Article  MathSciNet  MATH  Google Scholar 

  5. Gouveia, L., Simonetti, L.G., Uchoa, E.: Modeling hop-constrained and diameter-constrained minimum spanning tree problems as Steiner tree problems over layered graphs. Mathematical Programming 128(1), 123–148 (2011)

    Article  MathSciNet  MATH  Google Scholar 

  6. Haberman, B.K., Rouskas, G.N.: Cost, delay, and delay variation conscious multicast routing. Tech. rep., North Carolina State University (1996)

    Google Scholar 

  7. Koch, T., Martin, A.: Solving Steiner tree problems in graphs to optimality. Networks 32(3), 207–232 (1998)

    Article  MathSciNet  MATH  Google Scholar 

  8. Kun, Z., Heng, W., Feng-yu, L.: Distributed multicast routing for delay and delay variation-bounded Steiner tree using simulated annealing. Computer Communications 28(11), 1356–1370 (2005)

    Article  Google Scholar 

  9. Lee, H.-Y., Youn, C.-H.: Scalable multicast routing algorithm for delay-variation constrained minimum-cost tree. In: IEEE International Conference on Communications, vol. 3, pp. 1343–1347. IEEE Press (2000)

    Google Scholar 

  10. Ljubic, I., Weiskircher, R., Pferschy, U., Klau, G.W., Mutzel, P., Fischetti, M.: An algorithmic framework for the exact solution of the prize-collecting Steiner tree problem. Mathematical Programming 105(2), 427–449 (2006)

    Article  MathSciNet  MATH  Google Scholar 

  11. Low, C.P., Lee, Y.J.: Distributed multicast routing, with end-to-end delay and delay variation constraints. Computer Communications 23(9), 848–862 (2000)

    Article  Google Scholar 

  12. Rouskas, G.N., Baldine, I.: Multicast routing with end-to-end delay and delay variation constraints. IEEE Journal on Selected Areas in Communications 15(3), 346–356 (1997)

    Article  Google Scholar 

  13. Ruthmair, M., Raidl, G.R.: Variable Neighborhood Search and Ant Colony Optimization for the Rooted Delay-Constrained Minimum Spanning Tree Problem. In: Schaefer, R., Cotta, C., Kołodziej, J., Rudolph, G. (eds.) PPSN XI, Part II. LNCS, vol. 6239, pp. 391–400. Springer, Heidelberg (2010)

    Chapter  Google Scholar 

  14. Ruthmair, M., Raidl, G.R.: A Layered Graph Model and an Adaptive Layers Framework to Solve Delay-Constrained Minimum Tree Problems. In: Günlük, O., Woeginger, G.J. (eds.) IPCO 2011. LNCS, vol. 6655, pp. 376–388. Springer, Heidelberg (2011)

    Chapter  Google Scholar 

  15. Sheu, P.-R., Chen, S.-T.: A fast and efficient heuristic algorithm for the delay- and delay variation-bounded multicast tree problem. Computer Communications 25(8), 825–833 (2002)

    Article  Google Scholar 

  16. Sheu, P.-R., Tsai, H.-Y., Chen, S.-C.: An Optimal MILP Formulation for the Delay- and Delay Variation-Bounded Multicast Tree Problem. Journal of Internet Technology 8(3), 321–328 (2007)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2012 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Ruthmair, M., Raidl, G.R. (2012). On Solving the Rooted Delay- and Delay-Variation-Constrained Steiner Tree Problem. In: Mahjoub, A.R., Markakis, V., Milis, I., Paschos, V.T. (eds) Combinatorial Optimization. ISCO 2012. Lecture Notes in Computer Science, vol 7422. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-32147-4_21

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-32147-4_21

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-32146-7

  • Online ISBN: 978-3-642-32147-4

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics