Random early detection gateways for congestion avoidance
IEEE/ACM Transactions on Networking (TON)
JoBS: Joint Buffer Management and Scheduling for Differentiated Services
IWQoS '01 Proceedings of the 9th International Workshop on Quality of Service
An enhanced RED-Based scheme for differentiated loss guarantees
APNOMS'06 Proceedings of the 9th Asia-Pacific international conference on Network Operations and Management: management of Convergence Networks and Services
On modelling reliability in RED gateways
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part I
Proportional loss rate differentiation in a FIFO queue
Computer Communications
A case for relative differentiated services and the proportional differentiation model
IEEE Network: The Magazine of Global Internetworking
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More Recently, researchers have explored to provide a queue management scheme with differentiated loss guarantees for the future Internet. Various types of real time and non-real time traffic with varying requirements are transmitted over the Internet. The sides of a packet drop rate, an each class to differential drop probability on achieving a low delay and high traffic intensity. Improved a queue management scheme to be enhanced to offer a drop probability is desired necessarily. This paper considers multiple random early detection with differential drop probability which is a slightly modified version of the MQDDP model, to get the performance of the best suited, we analyzes its main control parameters (maxth, minth, maxp) for achieving the proportional loss differentiation (PLD) model, and gives their setting guidance from the analytic approach. we propose Dynamic-multiple queue management scheme based on differential drop probability, called Dynamic-MQDDP, is proposed to overcome MQDDP's shortcoming as well as supports static maxp parameter setting values for relative and each class proportional loss differentiation. MQDDP is static according to the situation of the network traffic, Network environment is very dynamic situation. Therefore maxp parameter values needs to modify too to the constantly and dynamic. The verification of the guidance is shown with figuring out loss probability using a proposed algorithm under dynamic offered load and is also selection problem of optimal values of parameters for high traffic intensity and show that Dynamic-MQDDP has the better performance in terms of packet drop rate. We also demonstrated using an ns-2 network simulation.