Skip to main content

Heuristic Algorithms for Solving Survivable Network Design Problem with Simultaneous Unicast and Anycast Flows

  • Conference paper
Intelligent Computing Technology (ICIC 2012)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 7389))

Included in the following conference series:

Abstract

Given a connected, weighted, undirected graph G = (V, E), a set of nodes, a set of links with modular cost based on ACMC model [2] and a set of customers’ demands. This paper proposes two heuristic algorithms for solving the ACMC Survivable Network Design Problem (A-SNDP). The goal is to design connections based on customers’ demands with the smallest network cost to protect the network against all failures. This problem is NP-hard. The experimental results are reported to show the efficiency of proposed algorithm comparing to the Tabu Search algorithm [2].

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. Walkowiak, K.: A Flow Deviation Algorithm for Joint Optimization of Unicast and Anycast Flows in Connection-Oriented Networks. In: Gervasi, O., Murgante, B., Laganà, A., Taniar, D., Mun, Y., Gavrilova, M.L. (eds.) ICCSA 2008, Part II. LNCS, vol. 5073, pp. 797–807. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  2. Gładysz, J., Walkowiak, K.: Tabu Search Algorithm for Survivable Network Design Problem with Simultaneous Unicast and Anycast Flows. Intl Journal of Electronics and Telecommunications 56(1), 41–48 (2010)

    Article  Google Scholar 

  3. Walkowiak, K.: A New Function for Optimization of Working Paths in Survivable MPLS Networks. In: Levi, A., Savaş, E., Yenigün, H., Balcısoy, S., Saygın, Y. (eds.) ISCIS 2006. LNCS, vol. 4263, pp. 424–433. Springer, Heidelberg (2006)

    Chapter  Google Scholar 

  4. Grover, W.: Mesh-based Survivable Networks: Options and Strategies for Optical, MPLS, SONET and ATM Networking. Prentice Hall PTR, Upper Saddle River (2004)

    Google Scholar 

  5. Sharma, V., Hellstrand, F.: Framework for MPLS-based Recovery. RFC 3469 (2003)

    Google Scholar 

  6. Vasseur, J., Pickavet, M., Demeester, P.: Network Recovery: Protection and Restoration of Optical, SONET-SDH, IP and MPLS. Morgan Kaufmann, San Francisco (2004)

    Google Scholar 

  7. Kasprzak, A.: Algorithms of Flow, Capacity and Topology Structure in Computer Networks, Monography, Wroclaw, Polish (1989)

    Google Scholar 

  8. Pioro, M., Medhi, D.: Routing, Flow, and Capacity Design in Communication and Computer Networks. Morgan Kaufmann Publishers (2004)

    Google Scholar 

  9. Walkowiak, K.: Anycast Communication – A New Approach to Survivability of Connection-Oriented Networks. In: Gorodetsky, V., Kotenko, I., Skormin, V.A. (eds.) MMM-ACNS 2007. CCIS, vol. 1, pp. 378–389. Springer, Heidelberg (2007)

    Google Scholar 

  10. Nissen, V., Gold, S.: Survivable Network Design with An Evolution Strategy. In: Yang, A., Shan, Y., Bui, L.T. (eds.) Success in Evolutionary Computation. SCI, vol. 92, pp. 263–283. Springer, Heidelberg (2008)

    Chapter  Google Scholar 

  11. Johnson, Deering: Reserved IPv6 Subnet Anycast Addresses. RFC 2526 (1999)

    Google Scholar 

  12. Anycast vs Unicast, http://communitydns.eu/Anycast.pdf

  13. Gladysz, J., Walkowiak, K.: Optimization of Survivable Networks with Simultaneous Unicast and Anycast Flows. In: ICUMT, Poland, pp. 1–6 (2009)

    Google Scholar 

  14. Battiti, R., Brunato, M., Mascia, F.: Reactive Search and Intelligent Optimization. Springer, New York (2008)

    MATH  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

Binh, H.T.T., Long, P.V., Dat, N.N., Ha, N.S.T. (2012). Heuristic Algorithms for Solving Survivable Network Design Problem with Simultaneous Unicast and Anycast Flows. In: Huang, DS., Jiang, C., Bevilacqua, V., Figueroa, J.C. (eds) Intelligent Computing Technology. ICIC 2012. Lecture Notes in Computer Science, vol 7389. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-31588-6_18

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-31588-6_18

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-31587-9

  • Online ISBN: 978-3-642-31588-6

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics