Skip to main content

Multi-timescale Economics-Driven Traffic Management in MPLS Networks

  • Chapter
Network Performance Engineering

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5233))

Abstract

Today’s networking environment is characterized by significant traffic variability and squeezing profit margins. An adaptive and economics-aware traffic management approach is needed to cope with such environment. An adaptive traffic management system is proposed that acts on short timescales (from minutes to hours) and employs an economics-based figure of merit to rellocate bandwidth. The tool works in an MPLS context. Both underload and overload deviations from the optimal bandwidth allocation are sanctioned through the economical evaluation of the consequences of such non-optimality. A description of the traffic management system is provided together with some simulation results to show its operations.

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 139.00
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

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. Liotta, A., Lin, L.: The Operator’s Response to P2P Service Demand. IEEE Comm. Mag. 45(7), 76–83 (2007)

    Article  Google Scholar 

  2. Sen, S., Wang, J.: Analyzing Peer-To-Peer Traffic Across Large Networks. IEEE/ACM Trans. Networking 12(2), 219–232 (2004)

    Article  MathSciNet  Google Scholar 

  3. Brownlee, N., Claffy, K.C.: Understanding internet traffic streams: dragonflies and tortoises. IEEE Comm. Magazine 40(10), 110–117 (2002)

    Article  Google Scholar 

  4. Karagiannis, T., Molle, M., Faloutsos, M.: Long-range dependence: Ten years of internet traffic modeling. IEEE Internet Computing 8(5), 57–64 (2004)

    Article  Google Scholar 

  5. Park, C., Hernández-Campos, F., Marron, J.S., Smith, F.D.: Long-range dependence in a changing internet traffic mix. Comput. Netw. 48(3), 401–422 (2005)

    Article  Google Scholar 

  6. Gong, W.B., Liu, Y., Misra, V., Towsley, D.: Self-similarity and long range dependence on the internet: a second look at the evidence, origins and implications. Comput. Netw. 48(3), 377–399 (2005)

    Article  Google Scholar 

  7. Jajszczyk, A.: Automatically Switched Optical Netwoks: Benefits and Requirements. IEEE Comm. Mag. 453(72), S10–S15 (2005)

    Article  Google Scholar 

  8. Gelembe, E., Lent, R., Nunez, A.: Self-aware networks and QoS. Proc. IEEE 92(9), 1478–1489 (2004)

    Article  Google Scholar 

  9. Sabella, R., Iovanna, P.: Self-Adaptation in Next-Generation Internet Networks: How to React to Traffic Changes While Respecting QoS? IEEE Trans. Syst., Man, and Cybernetics - Part B: Cybernetics 36(6), 1218–1229 (2006)

    Article  Google Scholar 

  10. Xiao, X., Ni, L.M.: Internet QoS: A Big Picture. IEEE Network 13(2), 8–18 (1999)

    Article  MathSciNet  Google Scholar 

  11. Giacomazzi, P., Musumeci, L., Saddemi, G., Verticale, G.: Two different approaches for providing qos in the internet backbone. Comp. Comm. 29(18), 3957–3969 (2006)

    Article  Google Scholar 

  12. Bhoj, P., Singhal, S., Chutani, S.: SLA management in federated environments. Comp. Netw. 35(1), 5–24 (2001)

    Article  Google Scholar 

  13. Ash, J., Chung, L., D’Souza, K., Lai, W.S., Van der Linde, H., Yu, Y.: AT&T’s MPLS OAM Architecture, Experience, and Evolution. IEEE Comm. Mag. 42(10), 100–111 (2004)

    Article  Google Scholar 

  14. Das, S.K., Lin, H., Chatterjee, M.: An econometric model for resource management in competitive wireless data networks. IEEE Netw. Mag. 18(6), 20–26 (2004)

    Article  Google Scholar 

  15. Tran, H.T., Ziegler, T.: Adaptive bandwidth provisioning with explicit respect to QoS requirements. Comp. Comm. 28(16), 1862–1876 (2005)

    Article  Google Scholar 

  16. International Telecommunications Union ITU-T. Recommendation E.500 - Traffic intensity measurement principles (1998)

    Google Scholar 

  17. Carter, S.F.: Quality of service in BT’s MPLS-VPN platform. BT Tech. J. 23(2), 61–72 (2005)

    Article  Google Scholar 

  18. Benameur, N., Roberts, J.W.: Traffic Matrix Inference in IP Networks. Netw. Spat. Econ. 4(1), 103–114 (2004)

    Article  MATH  Google Scholar 

  19. Issariyakul, T., Hossain, E.: Introduction to Network Simulator NS2. Springer, Heidelberg (2009)

    Book  Google Scholar 

  20. Iovanna, P., Naldi, M., Sabella, R.: Models for services and related traffic in Ethernet-based mobile infrastructure. In: HET-NETs 2005 Performance Modelling and Evaluation of Heterogeneous Networks, Ilkley, UK (2005)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2011 Springer-Verlag Berlin Heidelberg

About this chapter

Cite this chapter

Iovanna, P., Naldi, M., Sabella, R., Zema, C. (2011). Multi-timescale Economics-Driven Traffic Management in MPLS Networks. In: Kouvatsos, D.D. (eds) Network Performance Engineering. Lecture Notes in Computer Science, vol 5233. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-02742-0_6

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-02742-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-02741-3

  • Online ISBN: 978-3-642-02742-0

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics