Skip to main content

An Algorithm for the Measure Station Selection and Measure Assignment in the Active IP Network Measurement

  • Conference paper
Management Enabling the Future Internet for Changing Business and New Computing Services (APNOMS 2009)

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

Included in the following conference series:

  • 934 Accesses

Abstract

It is critical to obtain accurate network information for network management and the improvement of network service quality. Network measurement is an efficient method to obtain such information. Now the network measurement models and algorithms have become a research hot spot; and the core problem is how to cut down the cost of device deployment and reduce the effects caused by measurement. In this paper, we discuss the problem of measure station selection and measure assignment in active IP network, and propose a greedy algorithm to select stations and a method based on link usage cost to assign measures. Simulation results show that our method is efficient in station selection and measure assignment.

This work was supported in part by the 973 project of China (2007CB310703), Fok Ying Tong Education Foundation (111069).

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. Zhang, H., Fang, B.: Internet measurement and analysis. Journal of Software 14(1), 110–116 (2003)

    MATH  Google Scholar 

  2. Cai, Z., Liu, F., et al: Network measurement model and its optimization algorithm. Journal of Software 19(2), 419–431 (2008)

    Article  Google Scholar 

  3. Adler, M., Bu, T., Sitaraman, B., Towsley, D.: Tree layout for Internet network characterizations in multicast networks. In: Proc. of the NGC 2001, pp. 189–204. Springer, Heidelberg (2001)

    Google Scholar 

  4. Breitbart, Y., Dragan, F., Gobjuka, H.: Effective network monitoring. In: Proc. of the IEEE ICCCN 2004, pp. 394–399. IEEE Communication Society, Los Alamitos (2004)

    Google Scholar 

  5. Bejerano, Y., Rastogi, R.: Robust monitoring of link delays and faults in IP networks. IEEE/ACM Transactions On Networking 14(5) (2006)

    Google Scholar 

  6. Kumar, R., Kaur, J.: Efficient beacon placement for network tomography. In: Proc. of the ACM SIGCOMM IMC, pp. 181–186. ACM Press, New York (2004)

    Google Scholar 

  7. Nguyen, H., Thiran, P.: Active measurement for multiple link failures diagnosis in IP networks, pp. 185–194. Springer, Heidelberg (2004)

    Google Scholar 

  8. Horton, J., Lopez-Ortiz, A.: On the number of distributed measurement points for network tomography. In: Proc. of the ACM SIGCOMM IMC, pp. 204–209. ACM Press, New York (2003)

    Google Scholar 

  9. Breitbart, Y., Chan, C.Y., Garofalakis, M., Rastogi, R., Silberschatz, A.: Efficiently monitoring bandwidth and latency in IP networks. In: Proc. of the IEEE INFOCOM 2001, pp. 933–942. IEEE Communication Society, Los Alamitos (2001)

    Google Scholar 

  10. Walz, J., Levine, B.: A hierarchical multicast monitoring scheme. In: Proc. of the NGC on Networked Group Communication, pp. 105–116. ACM Press, New York (2000)

    Google Scholar 

  11. Jamin, S., Jin, C., Jin, Y., Raz, D., Shavitt, Y., Zhang, L.: On the placement of Internet instrumentation. In: Proc. of the IEEE INFOCOM 2000, pp. 295–304. IEEE Communication Society, Los Alamitos (2000)

    Google Scholar 

  12. Bartal, Y.: Probabilistic approximation of metric space and its algorithmic applications. In: Proc. of the 37th Annual IEEE Symp. on Foundations of Computer Science, pp. 184–193. IEEE Communication Society, Los Alamitos (1996)

    Google Scholar 

  13. Magoni, D.: Network topology analysis and internet modelling with Nem. International Journal of Computers and Applications 27(4), 252–259 (2005)

    Article  Google Scholar 

  14. Waxman, B.M.: Routing of Multipoint Connections. IEEE Journal on Selected Areas in Communications 6(9), 1617–1622 (1988)

    Article  Google Scholar 

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

Zeng, Y., Cheng, L., Huang, T., Li, Z. (2009). An Algorithm for the Measure Station Selection and Measure Assignment in the Active IP Network Measurement. 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_29

Download citation

  • DOI: https://doi.org/10.1007/978-3-642-04492-2_29

  • 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