Abstract
The traditional adaptive Random Early Detection (RED) algorithm allows network to achieve high throughput and low average delay. However it uses a linear dropping probability function, which causes high jitter in the core router. To overcome the drawbacks of queue jitter in the traditional adaptive RED algorithm, this paper proposes a new Non- Linear Adaptive RED (NLAR) approach based on the Active Queue Management (AQM) scheme, which provides a nonlinear adaptation to the dropping probability function of the adaptive RED. NLAR enables the gradient of the dropping probability to vary along with the deviation that is between the average queue length and the target queue length, which contributes to a more stable algorithm. Empirical simulation with various data analysis have demonstrated that the NLAR algorithm outperforms the adaptive RED algorithm in most scenarios.
Original language | English |
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Title of host publication | 24th IEEE International Conference on Advanced Information Networking and Applications Workshops, WAINA 2010 |
Publisher | IEEE |
Pages | 115-120 |
Number of pages | 6 |
ISBN (Print) | 9780769540191 |
DOIs | |
Publication status | Published - 2010 |
Externally published | Yes |
Event | 24th IEEE International Conference on Advanced Information Networking and Applications Workshops - Perth, Australia Duration: 20 Apr 2010 → 23 Apr 2010 |
Conference
Conference | 24th IEEE International Conference on Advanced Information Networking and Applications Workshops |
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Abbreviated title | WAINA 2010 |
Country/Territory | Australia |
City | Perth |
Period | 20/04/10 → 23/04/10 |
Bibliographical note
This paper is not available in PureKeywords
- Adaptive control
- AQM
- Congestion control
- NLAR
ASJC Scopus subject areas
- Computer Networks and Communications
- Information Systems