Skip to main content

Random Hypernets in Reliability Analysis of Multilayer Networks

  • Chapter
Computational Problems in Science and Engineering

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 343))

Abstract

The general approach to constructing structural models of non-stable multi-level networks is proposed. This approach is based on hypernets—relatively new mathematical object, which is successively used for modeling different multi-level networks in the Institute of Computational Mathematics and Mathematical Geophysics SB RAS, Russia, for last 30 years. Hypernets allow standard description of neighboring levels interconnection in a mathematically correct way. Using this mathematical object allows easy modifications of data with model changing and/or development and efficiently organize data search for different computational or optimization algorithms. Optimization of mapping of secondary (logical) network onto structure of unreliable primary (physical) network is considered as example.

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 EPUB and 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
Hardcover Book
USD 109.99
Price excludes VAT (USA)
  • Durable hardcover 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

References

  1. Jain, M., Chand, S.: On connectivity of ad hoc network using fuzzy logic. In: Proceedings of the 2014 International Conference on Applied Mathematics and Computational Methods in Engineering II (AMCME ’14) and the 2014 International Conference on Economics and Business Administration II (EBA ’14), pp. 159–165 (2014)

    Google Scholar 

  2. Seytnazarov, S., Kim, Y.-T.: QoS-aware MPDU aggregation of IEEE 802.11n WLANs for VoIP services. In: Proceedings of the 2014 International Conference on Electronics and Communication Systems II (ECS ’14) and the 2014 International Conference on Education and Educational Technologies II (EET ’14), pp. 64–71 (2014)

    Google Scholar 

  3. Mosharraf, N., Khayyambashi, M.R.: Improving performance and reliability of adaptive fault tolerance structure in distributed real time systems. Comput. Simul. Mod. Sci. 3, 133–143 (2010)

    Google Scholar 

  4. Waxman, B.M.: Routing of multipoint connections. IEEE J. Sel. A. Commun. 6(9), 1617–1622 (2006)

    Article  Google Scholar 

  5. Doar, M.: Multicast in the ATM environment. Ph.D. Thesis, Cambridge University, Computer Lab (1993)

    Google Scholar 

  6. Kumar, R., Raghavan, P., Rajagopalan, S., Sivakumar, D., Tomkins, A., Upfal, E.: Stochastic models for the Web graph. In: Proceedings 41st Annual Symposium on Foundations of Computer Science, pp. 57–65 (2000)

    Google Scholar 

  7. Albert, R., Barabasi A.L.: Statistical mechanics of complex networks. Rev. Mod. Phys. 74, 47–97 (2002)

    Article  MATH  MathSciNet  Google Scholar 

  8. Yano, A., Wadayama, T.: Probabilistic analysis of the network reliability problem on a random graph ensemble. http://arxiv.org/pdf/1105.5903.pdf (2011) [arXiv:1105.5903v3]

  9. Bobbio, A., Terruggia, R., Ciancamerla, E., Minichino, M.: Evaluating Network Reliability Versus Topology by Means of BDD Algorithms. PSAM-9, Hong Kong (2008)

    Google Scholar 

  10. Milner, R.: Bigraphs, a Tutorial, at http://www.cl.cam.ac.uk/users/rm135 (2005)

  11. Kim, J.H., Vu, V.: Sandwiching random graphs. Adv. Math. 188, 444–469 (2004)

    Article  MATH  MathSciNet  Google Scholar 

  12. Dijkstra, F., Andree, B., Koymans, K., van der Hama, J., Grosso, P., de Laat, C.: A multi-layer network model based on ITU-T G.805. Comput. Netw. 52, 1927–1937 (2008)

    Google Scholar 

  13. He, F., Xin, C.: Cross-layer path computation for dynamic traffic grooming in mesh WDM optical networks. Technical Report #NSUCS-2004-009, Norfolk State University (2004)

    Google Scholar 

  14. Koster, A.M.C.A., Orlowski, S., Raack, C., Baier, G., Engel, T., Belotti, P.: Branch-and-cut techniques for solving realistic two-layer network design problems. In: Graphs and Algorithms in Communication Networks, pp. 95–118. Springer, Heidelberg (2009)

    Google Scholar 

  15. Chigan, C., Atkinson, G., Nagarajan, R.: On the modeling issue of joint cross-layer network protection/restoration. In: Proceedings of Advanced Simulation Technologies Conference (ASTC ’04), pp. 57–62 (2004)

    Google Scholar 

  16. Kurant, M., Thiran, P.: Layered complex networks. Phys. Rev. Lett. 96, 138701-1–138701-4 (2006)

    Google Scholar 

  17. Popkov, V.K.: Mathematical models of connectivity. Inst. Comp. Math. Math. Geophys. Novosibirsk (2006) (in Russian)

    Google Scholar 

  18. Popkov, V.K., Sokolova, O.D.: Application of hyperneet theory for the networks optimazation problems. In: 17th IMACS World Congress, July 2005, Paper T4-I-42-011 (2005)

    Google Scholar 

  19. Rodionov, A.S., Sokolova, O., Yurgenson, A., Choo, H.: On Optimal placement of the monitoring devices on channels of communication network. In: ICCSA 2009, Part II. Lecture Notes in Computer Science, vol. 5593, pp. 465–478 (2009)

    Article  Google Scholar 

  20. Rodionov, A.S., Choo, H., Nechunaeva, K.A.: Framework for biologically inspired graph optimization. In: Proceedings of ICUIMC 2011, Seoul, Paper 2.5 (2011)

    Google Scholar 

  21. Popkov, V.K.: Using s-hypernet theory for modeling systems with network structure. Probl. Inf. 4, 17–40 (2010) (in Russian)

    Google Scholar 

  22. Rodionova, O.K., Rodionov, A.S., Choo, H.: Network probabilistic connectivity: Exact calculation with use of chains. In: ICCSA-2004. Springer Lecture Notes in Computer Science, vol. 3046, pp. 315–324 (2004)

    Article  MathSciNet  Google Scholar 

  23. Satyanarayana, A., Chang, M.K.: Network reliability and the factoring theorem. Networks 13, 107–120 (1983)

    Article  MATH  MathSciNet  Google Scholar 

Download references

Acknowledgements

This work is supported by the grant of the Program of basic researches of the Presidium of Russian Academy of Science.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Alexey Rodionov .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2015 Springer International Publishing Switzerland

About this chapter

Cite this chapter

Rodionov, A., Rodionova, O. (2015). Random Hypernets in Reliability Analysis of Multilayer Networks. In: Mastorakis, N., Bulucea, A., Tsekouras, G. (eds) Computational Problems in Science and Engineering. Lecture Notes in Electrical Engineering, vol 343. Springer, Cham. https://doi.org/10.1007/978-3-319-15765-8_17

Download citation

  • DOI: https://doi.org/10.1007/978-3-319-15765-8_17

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-15764-1

  • Online ISBN: 978-3-319-15765-8

  • eBook Packages: EngineeringEngineering (R0)

Publish with us

Policies and ethics