Skip to main content

Exact and Heuristic Algorithms for Multi-constrained Path Selection Problem

  • Conference paper
  • First Online:
Advances in Multimedia Information Processing — PCM 2002 (PCM 2002)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 2532))

Included in the following conference series:

Abstract

The multi-constrained path (MCP) selection problem occurs when the quality of services (QoS) are supported for point-to-point connections in the distributed multimedia applications deployed on the Internet. This NP-complete problem is concerned how to determine a feasible path between two end-points, so that a set of QoSpath constraints can be satisfied simultaneously. Based on the branch-and-bound technology and tabu-searching strategy, an optimal algorithm and a heuristic algorithm are proposed in this paper. The experimental results show that our heuristic algorithm not only has very good performance on several different network topologies, but also is very efficient method for solving large-scale MCP problem.

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. Jaffe, J. M.,: Algorithms for finding paths with multiple constraints, Networks, vol. 14 (1984) 95–116

    Article  MathSciNet  Google Scholar 

  2. Chen, Shiganag, Nahrstedt, Klara,: On Finding Multi-constrained Paths, in Proceedings of the ICC’98 Conference, IEEE (1998) 874–979

    Google Scholar 

  3. Yuan, Xin, Liu, Xingming,: Heuristic Algorithms for Multi-Constrained Quality of Service Routing, in Proceedings of the IEEE INFOCOM Conference, IEEE (2001) 844–853

    Google Scholar 

  4. Korkmaz, Turgay, Krunz, Marwan,: A Randomized Algorithm for Finding a Path Subject to Multiple QoS Constraints, in Proceedings of the IEEE Global Telecommunications Conference, IEEE (1999) 1694–1698

    Google Scholar 

  5. Widyono, R.,: The Design and Evaluation Algorithm for Real-time Channels,TR-94-024, International Computer Science Institute, UC Berkeley (1994)

    Google Scholar 

  6. Korkmaz, Turgay, Krunz, Marwan, Tragoudas, Spyros,: An efficient algorithm for finding a path subject to two additive constraints, Computer Communications, vol. 25 (2002) 225–238

    Article  Google Scholar 

  7. Comer, D.E.,: Internetworking with TCP/IP, vol. I, Prentice Hall (1995)

    Google Scholar 

  8. Verma, Sanjeev, Pankaj, Rajesh K., Leon-Garica, Alberto,: QoS based multicast routing algorithms for real time applications, Performance Evaluation, vol. 34 (1998) 273–294

    Article  Google Scholar 

  9. Korkmaz, Turgay, Krunz, Marwan,: Multi-Constrained Optimal Path Selection, in Proceedings of the IEEE INFOCOM Conference, IEEE (2001) 834–843

    Google Scholar 

  10. Orda, Ariel,: Routing with End-to-End QoSGuaran tees in Broadband Networks, IEEE/ACM Transactions on Networking, vol. 7, no. 3, (1999) 365–374

    Article  Google Scholar 

  11. Yang, Wen-Lin,: Solving the MCOP Problem Optimally, in Proceedings of IEEE Conference on Local Computer Networks, IEEE (2002)

    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

Yang, WL. (2002). Exact and Heuristic Algorithms for Multi-constrained Path Selection Problem. In: Chen, YC., Chang, LW., Hsu, CT. (eds) Advances in Multimedia Information Processing — PCM 2002. PCM 2002. Lecture Notes in Computer Science, vol 2532. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-36228-2_118

Download citation

  • DOI: https://doi.org/10.1007/3-540-36228-2_118

  • Published:

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-00262-8

  • Online ISBN: 978-3-540-36228-9

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics