A study on performance enhancement Of multiclass network traffic using Effective queuing models

Abstract

Queue management methods and congestion control algorithms are newlineinevitable to keep the stability of the network This research work mainly newlinefocuses on improving the performance of network by implementing the newlineenhanced queuing models The first Chapter deals with a brief introduction newlineabout networks network architecture basic concepts of queuing theory newlineQuality of Service in networks role of queuing models for maintaining QoS newlineand various Active Queue Management techniques A detailed survey of newlineliterature is given in the second chapter newlineIn a network the elastic and inelastic flows require different types newlineof treatment in order to prevent the elastic flows from starving and inelastic newlineflows from congestion In the third chapter an Enhanced Core Stateless Fair newlineQueuing with Fuzzy Based Congestion Detection ECSFQ FBCD is newlinePresented With the expression for delay and loss, the flows are differentiated newlineinto elastic and inelastic flows Elastic flows are treated with max min newlineprinciple of CSFQ Further for inelastic flows a fuzzy based congestion newlinedetection is applied and as per the congestion level the flows are either newlinescheduled with Multiple Queue Fair Queuing MQFQ or with max min newlineprinciple of CSFQ newlineThe fourth chapter utilises the concept of CSFQ MQFQ and token newlinebucket model newline newline