An extended GIX/M/1/N queueing model for evaluating the performance of AQM algorithms with aggregate traffic

Authors:
Wang Hao;Yan Wei
Affiliations:
Network Laboratory, Department of Computer Science, Peking University, Beijing, China;Network Laboratory, Department of Computer Science, Peking University, Beijing, China
Venue:
ICCNMC'05 Proceedings of the Third international conference on Networking and Mobile Computing
Year:
2005

Citing 9
Cited 1

Random early detection gateways for congestion avoidance

IEEE/ACM Transactions on Networking (TON)
Fluid-based analysis of a network of AQM routers supporting TCP flows with an application to RED

Proceedings of the conference on Applications, Technologies, Architectures, and Protocols for Computer Communication
On the nonstationarity of Internet traffic

Proceedings of the 2001 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
Aggregate traffic performance with active queue management and drop from tail

ACM SIGCOMM Computer Communication Review
Appendix: A primer on heavy-tailed distributions

Queueing Systems: Theory and Applications
Analysis of finite-buffer multi-server queues with group arrivals: GIX/M/c/N

Queueing Systems: Theory and Applications
Comparison of Tail Drop and Active Queue Management Performance for Bulk-Data and Web-Like Internet Traffic

ISCC '01 Proceedings of the Sixth IEEE Symposium on Computers and Communications
Characterization of queue fluctuations in probabilistic AQM mechanisms

Proceedings of the joint international conference on Measurement and modeling of computer systems
A comparison of active queue management algorithms using the OPNET Modeler

IEEE Communications Magazine

Analysis of AQM Queues with Queue Size Based Packet Dropping

International Journal of Applied Mathematics and Computer Science - Issues in Advanced Control and Diagnosis

Quantified Score

Hi-index	0.00

Visualization

Abstract

TCP/AQM models focus on responsive long-lived TCP flows and are often used as a guideline to design new AQM algorithms. Nevertheless, the Internet traffic is aggregate. Besides responsive long-lived TCP flows, there are 70%-80% unresponsive short-lived TCP flows and UDP flows which are ignored by these TCP/AQM models. In this paper, we first extend the GIX/M/1/N queueing model with batch arrivals by thinning of input flows and then use probability distributions of aggregate traffic as input to this extended model to evaluate and compare the performance of four classical AQM algorithms: TD, RED, GRED and Adaptive RED.