Name
Abstract | ||
|---|---|---|
Most active queue management algorithms manage network congestion based on the size of the queue but ignore the network environment which makes queue size change. It seriously affects the response speed of the algorithm. In this paper, a new AQM algorithm named CT-AQM (Change Trend-Adaptive Queue Management) is proposed. CT-AQM predicts the change trend of queue size in the soon future based on the change rate of queue size and the network environment, and optimizes its dropping function. Simulation results indicate that CT-AQM scheme has a significant improvement in loss-rate and throughput. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.3837/tiis.2019.03.013 | KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS |
Keywords | Field | DocType |
Active queue management,dropping probability,network environment,response speed,loss-rate,throughput | Active queue management,Computer science,Queue,Computer network,Queue management system,Throughput,Distributed computing | Journal |
Volume | Issue | ISSN |
13 | 3 | 1976-7277 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Liangrui Tang | 1 | 40 | 19.00 |
| Yaomu Tan | 2 | 0 | 0.34 |