Research on the Improvement of RED Algorithm in Network Congestion Control

Jia Jia Song; Zhi Xue Zhang

doi:10.4028/www.scientific.net/AMM.713-715.2471

Paper Titles

MCACM: A Cloud Storage Access Control Model for Multi-Clouds Environment Based on XACML
p.2451

Network Congestion Control Algorithm Simulation Research Based on NS2
p.2455

Privacy Protection in the Internet of Things Based on Cryptography
p.2462

Research on Technology of Energy Consumption Optimization in Cloud Computing Platform
p.2467

Research on the Improvement of RED Algorithm in Network Congestion Control
p.2471

Self-Adaptive Particle Swarm Mutation Rate of Genetic Algorithm in the Link Optimization of Network Coding
p.2478

Study on Group Differences of Online Shopping Based on Data Mining
p.2482

Study on Trust Model of Internetware System
p.2486

The Data Mining Application Research and Resolution Based on Network Information Retrieval
p.2491

HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 713-715Research on the Improvement of RED Algorithm in...

Research on the Improvement of RED Algorithm in Network Congestion Control

Abstract:

RED algorithm is a kind of implementation which is relatively simple, and better solutions to optimize the network congestion problem, but the RED algorithm of control for the network changes is relatively sensitive, So in practical applications may be to enhance the practical utility of RED algorithm by artificially setting control parameters. In this paper, analysis the effect of maximum drop probability on the queue and average queue based on the discrete TCP/RED feedback network model. And discuss when the queue length stabilized at the desired target, the relationship of the maximum drop probaility value with other network parameters. Based on theoretical analysis, proposed an improved RED algorithm, based on NS-2 simulation results show that this algorithm has good average latency and packet loss rate in a complex network environment, superior FRED and BLUE algorithm.

You might also be interested in these eBooks

View Preview

Info:

Periodical:

Applied Mechanics and Materials (Volumes 713-715)

Pages:

2471-2477

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.713-715.2471

Citation:

Cite this paper

Online since:

January 2015

Authors:

Jia Jia Song*, Zhi Xue Zhang

Keywords:

Network Congestion, Red Algorithm, Simulation Analysis, TCP

Export:

RIS, BibTeX

Price:

Permissions CCC:

Request Permissions

Permissions PLS:

Request Permissions

Сopyright:

Citation:

* - Corresponding Author

References

[1] FAN Ji-song, Wu Xin-rong: Modified RED Stability Research [J]. Journal of System Simulation, 2010, 22(7): 1711-1714.

Google Scholar

[2] Wang Hao, Ma Xue-tao: A Fuzzy Self-tuning Random Exponential Marking Algorithm Based on Enhanced Price [J]. Journal of Computer Simulation, 2012, 26(8): 128-146.

Google Scholar

[3] Han Hua-bin: A Nonlinear Higher-order Correction RED Improved Algorithm [J]. Huizhou University (Natural Science), 2010. 30(3): 77-81.

Google Scholar

[4] B. Hariri, N. Sadati. NN—RED: an AQM mechanism based on neural networks [J]. Electronics Letters, 2011, 43 (19): 1053-1055.

DOI: 10.1049/el:20071791

Google Scholar

[5] Floyd S, Jacobson V. Random Early Detection Gateways for Congestion Avoidance [J]. IEEE/ACM Transactions on Networking (S1063-6692), 1993, 1(4): 397-413.

DOI: 10.1109/90.251892

Google Scholar

[6] Floyd S, Gummadi R, Shenker S. Adaptive RED: an algorithm for increasing the robustness of RED's active queue management [EB/OL]. Under submission. (2001-8) [2008-10-13].

Google Scholar

[7] Hollot C V, Misra V, Towsley D, et al. On designing improved controllers for AQM routers supporting TCP flows [C]/ Proceedings of the IEEE INFOCOM 2001. Alaska, USA: IEEE Communications Society, 2001, 3: 1726-1734.

DOI: 10.1109/infcom.2001.916670

Google Scholar