Skip to main content

Connections Reservation with Rerouting for ATM Networks: A Hybrid Approach with Constraints

  • Conference paper
  • First Online:

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2470))

Abstract

This paper presents a hybrid method developed at France Telecom R&D to solve a difficult network problem. It takes place in an ATM network administration context and consists in planning connection demands over a period of one year.

We introduce a new framework for solving this problem within the allowed computing time. This framework is based on two major elements: first a hybrid method which mixes shortest path algorithms, constraint propagation and repairing principles, then a model for the time dimension which is a critical issue in this ATM network administration problem.

We compare our method with a greedy method (without rerouting) presently used in FTR&D upon realistic problems. The results of our experiments show that the difficult problem of rerouting can be solved with our method. Moreover, rerouting leads to accept of 46% of connections that are rejected with the greedy algorithm.

This paper is a revised version of [14].

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

Buying options

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

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. Boizumault, P., David, P, Djellab, D.: Resource allocation in a mobile telephone network: A constructive repair algorithm. In G. Finke, J. F. Maurras, and P. Tolla, editors, RAIRO Recherche Operationnelle, special issue. Hermes. 2000.

    Google Scholar 

  2. Bryant, RE.: Graph-based algorithms for boolean function manipulation. IEEE, Transaction on Computers, C-35(8):677–691. 1986.

    Article  Google Scholar 

  3. Crowcroft, J., Wang, Z.: Quality of service routing for supporting multimedia applications. IEEE Journal on Selected Areas in Communications, 17(7):1228–1234. 1996.

    Google Scholar 

  4. David, P.: A constraint-based approach for examination timetabling using local repair techniques. N 1408 in LNCS, pages 169–186. Springer Verlag. Selected papers (extended version) from the Second International Conference on the Practice And Theory of Automated Timetabling. 1997.

    Google Scholar 

  5. Frei, C., Faltings, B.:Resource allocation in networks using abstraction and constraint satisfaction techniques. CP-99, LNCS 1713, pages 204–218. Springer. 1999.

    Google Scholar 

  6. Frei, C.:Abstaction Techniques for Resource Allocation in Communication Networks. PhD thesis, Ecole Polytechnique Federale de Lausanne. 2000.

    Google Scholar 

  7. Freuder, EC.: Partial constraint satisfaction. Artificial Intelligence, 58(1-3):21–70. 1989.

    Article  MathSciNet  Google Scholar 

  8. Glover, F.: Tabu search. I. ORSA Journal of Computing, 1(3):190–206. 1989.

    Article  MATH  Google Scholar 

  9. Glover, F.: Tabu search. II. ORSA Journal on Computing,, 2(1):4–32. 1990.

    Article  MATH  Google Scholar 

  10. Kirkpatrick, S.: Optimization by simulated annealing: quantitative studies. Journal of Statistical Physics, 34(5). 1984.

    Google Scholar 

  11. Kirkpatrick, S., Gelatt, CD., Vecchi, MP.: Optimization by simulated annealing. Science, (220). 1983.

    Google Scholar 

  12. Laburthe, F., Caseau, Y.: SALSA, a language for search algorithms. In CP’98, LNCS 1520, pages 310–324. Springer. 1998.

    Google Scholar 

  13. Lauvergne, M.: PhD Thesis: Connections Reservation with Rerouting for ATM Networks: a hybrid approach with constraints. Ecole des Mines de Nantes. 2002.

    Google Scholar 

  14. Lauvergne, M., David, P., Boizumault, P.: Resources Allocation in ATM networks: A Hybrid Approach. Integration of AI and OR Techniques for Combinatorial Problems (CPAIOR). 2001.

    Google Scholar 

  15. Loudni, S., Boizumault, P.: A new hybrid method for solving on constraint optimization problems on anytime contexts. ICTAI. 2001.

    Google Scholar 

  16. Minton, S., Johnston, MD., Philips, AB., Laird, P.: Minimizing conflicts: a heuristic repair method for constraint satisfaction and scheduling problems. Artificial Intelligence, 58(1-3):161–205. 1992.

    Article  MathSciNet  MATH  Google Scholar 

  17. Pesant, G., Gendreau, M.: A view of local search in constraint programming. In CP-96, LNCS 1118, pages 353–366. Springer. 1996.

    Google Scholar 

  18. Nahrstedt, K., Chen, S.: An overview of quality of service routing for the next generation high-speed networks: Problems and solutions. IEEE Special issue on transmission and distribution of digital video. 1998.

    Google Scholar 

  19. Schaerf, A.: Combining local search and look-ahead for scheduling and const raint satisfaction problems. In Proc. of the 15th International Joint Conference on Artificia l Intelligence (IJCAI-97), pages 1254–1259, Nagoya, Japan. Morgan Kaufmann. 1997.

    Google Scholar 

  20. Verfaillie, G., Schiex, T.: Solution reuse in dynamic constraint satisfaction problems. In AAAI’94, pages 307–312, Seattle, WA. 1994.

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2002 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Lauvergne, M., David, P., Boizumault, P. (2002). Connections Reservation with Rerouting for ATM Networks: A Hybrid Approach with Constraints. In: Van Hentenryck, P. (eds) Principles and Practice of Constraint Programming - CP 2002. CP 2002. Lecture Notes in Computer Science, vol 2470. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-46135-3_43

Download citation

  • DOI: https://doi.org/10.1007/3-540-46135-3_43

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-44120-5

  • Online ISBN: 978-3-540-46135-7

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics