Skip to main content

Investigations of Optimized Optical Network Performance Under Different Traffic Models

  • Conference paper
  • First Online:
  • 853 Accesses

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 906))

Abstract

Network planning for existing as well as future high-speed networks is important for extracting best performance of networks. Network planning requires reliable traffic model which can serve constant as well as variable ingress traffic. In this paper, network performance is investigated with uniform and population-distance traffic models. Open Shortest Path First (OSPF) protocol is used for routing and link weight determination is a crucial task for this routing. Link weights in networks of different densities are optimized with an objective of minimizing network congestion. Ant Colony Optimization (ACO), Genetic Algorithm (GA) and Simulated Annealing (SAN) optimization techniques are applied to examine link weights of National Science Foundation NETwork (NSFNET) and standard COST 239 networks. The novelty of the work lies in investigations of network performance with different optimization techniques, traffic models and density. The outcome of this work can assist in optimizing overall network planning. Maximum latency and congestion of both networks are compared for each optimization and traffic model. It is observed that population-distance traffic modeling has reduced network congestion for both the networks but this traffic model has increased maximum latency of NSFNET. Performance of COST 239 network which is denser than NSFNET, has improved with population-distance traffic model w.r.t. congestion and latency.

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   39.99
Price excludes VAT (USA)
  • Available as EPUB and 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

Learn about institutional subscriptions

References

  1. Tune, P., Roughan, M.: Network-design sensitivity analysis. In: ACM International Conference on Measurement and Modeling of Computer Systems, SIGMETRICS 2014, pp. 449–461 (2014). https://doi.org/10.1145/2591971.2591979. ISBN 978-1-4503-2789-3

  2. Teixeira, R., Duffield, N., Rexford, J., Roughan, M.: Traffic matrix reloaded: impact of routing changes. In: Dovrolis, C. (ed.) PAM 2005. LNCS, vol. 3431, pp. 251–264. Springer, Heidelberg (2005). https://doi.org/10.1007/978-3-540-31966-5_20. ISBN 978-3-540-31966-5

    Chapter  Google Scholar 

  3. Cisco document: best practices in core network capacity planning, C11-728551-00, pp. 1–11 (2013)

    Google Scholar 

  4. Pavon-Mariño, P.: net2plan 0.4.0 User’s Manual (2016)

    Google Scholar 

  5. Pavon-Mariño, P.: Optimization of Computer Networks—Modeling and Algorithms: A Hands-On Approach. Wiley, New York (2016)

    Book  Google Scholar 

  6. Pavon-Mariño, P., Aparicio-Pardo, R., Moreno-Muñoz, G., Garcia-Haro, J., Veiga-Gontan, J.: MatPlanWDM: an educational tool for network planning in wavelength-routing networks. In: Tomkos, I., Neri, F., Solé Pareta, J., Masip Bruin, X., Sánchez Lopez, S. (eds.) ONDM 2007. LNCS, vol. 4534, pp. 58–67. Springer, Heidelberg (2007). https://doi.org/10.1007/978-3-540-72731-6_7

    Chapter  Google Scholar 

  7. Risso, C., Canale, E., Robledo, F., Rubino, G.: Using metaheuristics for planning resilient and cost-effective multilayer networks. In: 5th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), Almaty, pp. 201–207 (2013)

    Google Scholar 

  8. Martins, S.L., Ribeiro, C.C.: Metaheuristics and applications to optimization problems in telecommunications. In: Resende, M.G.C., Pardalos, P.M. (eds.) Handbook of Optimization in Telecommunications, pp. 103–128. Springer, Boston (2006). https://doi.org/10.1007/978-0-387-30165-5_4

    Chapter  MATH  Google Scholar 

  9. Risso, C., Nesmachnow, S., Robledo, F.: Metaheuristic approaches for IP/MPLS network design. Int. Trans. Oper. Res. 25(2), 599–625 (2018)

    Article  MathSciNet  Google Scholar 

  10. Bhanja, U., Mahapatra, S.: A metaheuristic approach for optical network optimization problems. Appl. Soft Comput. 13, 981–997 (2013)

    Article  Google Scholar 

  11. Kharroubi, F., He, J., Chen, L.: Performance analysis of GA, ROA, and TSA for solving the Max-RWA problem in optical networks, OFC 2014, San Francisco, CA, pp. 1–3 (2014). https://doi.org/10.1364/OFC.2014.W2A.48

  12. Mohan, N., Wason, A., Sandhu, P.S.: ACO based single link failure recovery in all optical networks. Optik 127, 8469–8474 (2016)

    Article  Google Scholar 

  13. Rabbani, M., Ravanbakhsh, M., Farrokhi-Asl, H., Taheri, M.: Using metaheuristic algorithms for solving a hub location problem: application in passive optical network planning. Int. J. Supply Oper. Manag. 4(1), 15–32 (2017)

    Google Scholar 

  14. Mata, J., et al.: Artificial intelligence (AI) methods in Optical Networks: A Comprehensive Survey. https://arxiv.org/abs/1801.01704v2 [cs.AI], Optical Switching and Networking (2018)

  15. Network Simulator: Net2Plan. http://www.net2plan.com/

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Himanshi Saini .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Saini, H., Garg, A.K. (2018). Investigations of Optimized Optical Network Performance Under Different Traffic Models. In: Singh, M., Gupta, P., Tyagi, V., Flusser, J., Ören, T. (eds) Advances in Computing and Data Sciences. ICACDS 2018. Communications in Computer and Information Science, vol 906. Springer, Singapore. https://doi.org/10.1007/978-981-13-1813-9_20

Download citation

  • DOI: https://doi.org/10.1007/978-981-13-1813-9_20

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-1812-2

  • Online ISBN: 978-981-13-1813-9

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics