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Due to rapid growth of Internet and demands for multiple access the request for services have also increased significantly. As a result there is congestion in the network where buffer management plays an important role. Traditionally, Droptail was used as buffer management techniques along with TCP. Due to large queuing delay and TCP synchronization problem of Drop tail, Active Queue Management (AQM) technique has been used to overcome the problem. AQM algorithm has been proposed as one of the router based mechanism for early detection of congestion inside the network and helps end devices to control the congestion. However, to get high throughput and better link utilization the queue length needs to be more stable. In this paper we analyzed the stability and oscillatory behavior of various AQM techniques like Random Exponential Marking (REM), Adaptive Virtual Queue (AVQ), Random Early …