Skip to main content

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 5787))

Included in the following conference series:

  • 961 Accesses

Abstract

Unassumed teletraffic patterns, such as those caused by extra-high bit-rate mobile user traffic that is actively moving in a network, will become common on telecommunication networks in the 4G era. Unexpectedness and unevenness of their distribution will make it difficult to use “fundamental traffic,” which is the conventional concept of reference traffic used in Japan, based on the E.500 ITU-T series, for network resource dimensioning. For 4G, new radio access technologies are being intensively developed, but the research on traffic engineering is still insufficient. In this paper, a new modeling and magnification factor for reference traffic to handle such cases is proposed. It is called “redundancy under general traffic in a closed network.” Its calculation method approximated by using a normal distribution is described, and its accuracy on various network topologies is studied by Monte Carlo simulations.

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 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

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. ITU-T (former CCITT) Recommendation E.500(rev.1) (1992)

    Google Scholar 

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

    Article  Google Scholar 

  3. Cho, K., Fukuda, K., Esaki, H., Kato, A.: The Impact and Implications of the Growth in Residential User-to-User Traffic. In: Proc. of ACM SIGCOMM 2006, September 2006, pp. 207–218 (2006)

    Google Scholar 

  4. Morita, N., Imanaka, H.: Introduction to the Functional Architecture of NGN. IEICE Trans. Commun. E90-B(5), 1022–1031 (2007)

    Article  Google Scholar 

  5. Satake, T., Chiba, Y., Okamoto, T.: Reference Traffic for Network Resource Dimensioning under Unexpected and Unevenly Distributed Traffic Load. IEICE Trans. Commun (in Japanese) J91-B(5), 734–745 (2008)

    Google Scholar 

  6. Piccolo, F., Neglia, G., Bianchi, G.: The Effect of Heterogeneous Link Capacities in BitTorrent-like File Sharing Systems. In: Proc. of 1st International Workshop on Hot Topics in Peer-to-Peer Systems, Hot-P2P 2004 (2004)

    Google Scholar 

  7. Clevenot, F., Nain, P., Ross, K.: Multiclass P2P Networks: Static Resource Allocation for Service Differentiation and Bandwidth Diversity. Performance Evaluation 62, 32–49 (2005)

    Article  Google Scholar 

  8. Liao, W., Papadopoulos, F., Psounis, K.: Performance Analysis of BitTorrent-like Systems with Heterogeneous Users. Performance Evaluation 64, 876–891 (2007)

    Article  Google Scholar 

  9. Williams, J.D.: An Approximation to the Probability Integral. Ann. Math. Statist. 17, 363–365 (1946)

    Article  MathSciNet  MATH  Google Scholar 

  10. Oracle Inc.: Crystal Ball ®, http://www.crystalball.com/

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2009 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Satake, T. (2009). New Modeling for Traffic Engineering in FMC Environment. In: Hong, C.S., Tonouchi, T., Ma, Y., Chao, CS. (eds) Management Enabling the Future Internet for Changing Business and New Computing Services. APNOMS 2009. Lecture Notes in Computer Science, vol 5787. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-04492-2_24

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04492-2_24

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-04491-5

  • Online ISBN: 978-3-642-04492-2

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics