Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
On the self-similar nature of Ethernet traffic (extended version)
IEEE/ACM Transactions on Networking (TON)
Wide area traffic: the failure of Poisson modeling
IEEE/ACM Transactions on Networking (TON)
New models for pseudo self-similar traffic
Performance Evaluation - Special issue on applied probability modelling in telecommunication
High-speed networks: TCP/IP and ATM design principles
High-speed networks: TCP/IP and ATM design principles
Dynamics of IP traffic: a study of the role of variability and the impact of control
Proceedings of the conference on Applications, technologies, architectures, and protocols for computer communication
Adaptive packet marking for maintaining end-to-end throughput in a differentiated-services internet
IEEE/ACM Transactions on Networking (TON)
Improving explicit congestion notification with the mark-front strategy
Computer Networks: The International Journal of Computer and Telecommunications Networking
DSRED: an active queue management scheme for next generation networks
LCN '00 Proceedings of the 25th Annual IEEE Conference on Local Computer Networks
High Performance TCP/IP Networking
High Performance TCP/IP Networking
The Impact of Self-similarity on Traffic Shaping in Wireless LAN
NEW2AN '08 / ruSMART '08 Proceedings of the 8th international conference, NEW2AN and 1st Russian Conference on Smart Spaces, ruSMART on Next Generation Teletraffic and Wired/Wireless Advanced Networking
Internet traffic source based on hidden Markov model
NEW2AN'11/ruSMART'11 Proceedings of the 11th international conference and 4th international conference on Smart spaces and next generation wired/wireless networking
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The article investigates the influence of the way packets are chosen to be dropped (end of the tail, head of the tail) on the performance, i.e. response time for in case of RED and DSRED queues - two representative active queue management mechanisms used in IP routers. In particular, the self-similar traffic is considered. The quantitative analysis is based on simulation and Markov chain models solved numerically.