Efficient Congestion Control Based on Awareness of Multistage Resources (CC-AMR) | SpringerLink
Skip to main content

Efficient Congestion Control Based on Awareness of Multistage Resources (CC-AMR)

  • Conference paper
Managing Next Generation Networks and Services (APNOMS 2007)

Part of the book series: Lecture Notes in Computer Science ((LNCCN,volume 4773))

Included in the following conference series:

  • 1043 Accesses

Abstract

Congestion control is an important part of IP QoS. The traditional congestion control algorithms judge the network congestion status and make drop decisions mainly according to the congestion information of local buffer resources. This causes the bandwidth-wasting problem when data flow congested. The paper analyzes the problem theoretically and proposes a new congestion control algorithm (CC-AMR) based on awareness of the congestion status of multistage resources. CC-AMR accounts the congestion status of resources in remote forward engines and their ports synthetically so that more reasonable congestion control decisions can be made. The CC-AMR has been implemented and tested on a core router which is implemented basing on network processor. Results show that this algorithm can enhance the total throughput of router effectively during periods of congestion.

This research was supported by the National Basic Research Program of China (973) under Grant No. 2003CB314802 and the National Natural Science Foundation of China under Grant No. 90604006.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Similar content being viewed by others

References

  1. Braden, et al.: Recommendations on Queue Management and Congestion Avoidance in the Internet. RFC 2309 (April 1994)

    Google Scholar 

  2. Floyd, S., Van Jacobson: Random Early Detection Gateways for Congestion Control. IEEE/ACM Transactions on Networking 1(4), 397–413 (1993)

    Article  Google Scholar 

  3. Cisco System. Distributed weighted random early detection (2005), available http://cco.cisco.com

  4. Ott, T.J., Lakshman, T.V., Wong, L.H.: SRED:Stabilized RED. In: Proceedings of IEEE INFOCOM, IEEE Computer Society Press, Los Alamitos (1999)

    Google Scholar 

  5. Demers, A., Keshav, S., Shenker, S.: Analysis and Simulation of a Fair Queuing Algorithm. In: Proceedings of ACM SIGCOMM, Austin, TX, pp. 1–12. ACM Press, New York (1989)

    Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Shingo Ata Choong Seon Hong

Rights and permissions

Reprints and permissions

Copyright information

© 2007 Springer-Verlag Berlin Heidelberg

About this paper

Cite this paper

Cao, J., Shi, X., Wu, C., Su, J., Meng, Z. (2007). Efficient Congestion Control Based on Awareness of Multistage Resources (CC-AMR). In: Ata, S., Hong, C.S. (eds) Managing Next Generation Networks and Services. APNOMS 2007. Lecture Notes in Computer Science, vol 4773. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75476-3_77

Download citation

  • DOI: https://doi.org/10.1007/978-3-540-75476-3_77

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-75475-6

  • Online ISBN: 978-3-540-75476-3

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics