Performance evaluation for DRED discrete-time queueing network analytical model

Authors:
Hussein Abdel-Jaber;Mike Woodward;Fadi Thabtah;Amer Abu-Ali
Affiliations:
Department of Computing, University of Bradford, Bradford BD7 1DP, UK;Department of Computing, University of Bradford, Bradford BD7 1DP, UK;MIS Department, Philadelphia University, Amman, Jordan;MIS Department, Philadelphia University, Amman, Jordan
Venue:
Journal of Network and Computer Applications
Year:
2008

Citing 7
Cited 4

Random early detection gateways for congestion avoidance

IEEE/ACM Transactions on Networking (TON)
TCP and explicit congestion notification

ACM SIGCOMM Computer Communication Review
A control theoretic approach to active queue management

Computer Networks: The International Journal of Computer and Telecommunications Networking
Random Early Marking: An Optimization Approach to Internet Congestion Control

ICON '99 Proceedings of the 7th IEEE International Conference on Networks
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
Network Congestion Control: Managing Internet Traffic (Wiley Series on Communications Networking & Distributed Systems)

Network Congestion Control: Managing Internet Traffic (Wiley Series on Communications Networking & Distributed Systems)
REM: active queue management

IEEE Network: The Magazine of Global Internetworking

Per-stream loss behavior of ΣMAP/M/1/K queuing system with a random early detection mechanism

Information Sciences: an International Journal
Elucidating the short term loss behavior of a DMAP process in random early detection queue with background DBMAP

Proceedings of the 6th International Conference on Queueing Theory and Network Applications
Analytical modeling of a multi-queue nodes network router

International Journal of Automation and Computing
Derivation of an analytical model for evaluating the performance of a multi-queue nodes network router

ISIICT'09 Proceedings of the Third international conference on Innovation and Information and Communication Technology

Quantified Score

Hi-index	0.00

Visualization

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.