Name
Abstract | ||
|---|---|---|
Due to the rapid development in computer networks, congestion becomes a critical issue. Congestion usually occurs when the connection demands on network resources, i.e. buffer spaces, exceed the available ones. We propose in this paper a new discrete-time queueing network analytical model based on dynamic random early drop (DRED) algorithm to control the congestion in early stages. We apply our analytical model on two-queue nodes queueing network. Furthermore, we compare between the proposed analytical model and three known active queue management (AQM) algorithms, including DRED, random early detection (RED) and adaptive RED, in order to figure out which of them offers better quality of service (QoS). We also experimentally compare the queue nodes of the proposed analytical model and the three AQM methods in terms of different performance measures, including, average queue length, average queueing delay, throughput, packet loss probability, etc., aiming to determine the queue node that offers better performance. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1016/j.jnca.2007.09.003 | J. Network and Computer Applications |
Keywords | DocType | Volume |
active queue management,analytical model,average queueing delay,average queue length,Congestion control,Analytical model,computer network,proposed analytical model,early stage,network analytical model,DRED,performance evaluation,dynamic random early drop,RED,queue node,Discrete-time queueing network,DRED discrete-time,Adaptive RED | Journal | 31 |
Issue | ISSN | Citations |
4 | Journal of Network and Computer Applications | 5 |
PageRank | References | Authors |
0.51 | 9 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Hussein Abdel-Jaber | 1 | 35 | 6.45 |
| Mike Woodward | 2 | 143 | 8.44 |
| Fadi Thabtah | 3 | 83 | 7.86 |
| Amer Abuali | 4 | 5 | 0.85 |