Abstract
Problem statement: The growth in the needs of Internet applications that transmit massive amount of data has led to the emergence of Effective Queue Management. Approach: Queues were used to smooth spikes in incoming packet rates and to allow the router sufficient time for packet processing. When the waiting time is less a better queue management is ensured thereby resulting in increased flow in the queue. When the incoming packet rate was higher than the router's outgoing packet rate, the queue size was increased, eventually exceeding the available buffer space. With respect to TCP’s RED queue management, the problem was that the buffer size was reduced to half and the packets were dropped abruptly. The congestion was detected early and the packets were dropped. The merit may be that congestion was detected early but the adverse effect was loss of packets. Results: The sender had to retransmit causing delay onto the network. This caused adverse effects on the network performance. In proposed system queue was extended whenever the number of packets present in the queue exceeds queue threshold. Packet drops were insignificantly even during network congestion. When the queue was continuously extended and if there was steady inflow of high volume of data, packet drop ratio was insignificant. Conclusions: Thus by the adoption of the proposed work, network throughput rose considerably thereby enabling effective data transfer. So it exhibits high bandwidth utilization, good throughput and processing time.
Highlights
The Internet carries certain critical data and information which needs to be delivered to the receiver at all cost (Huang et al, 2008)
This slower sending rate translates into a decrease in the incoming packet rate at the router, which effectively allows the router to clear up its queue
In the proposed mechanism, when the network congestion occurs queue size is determined using the effective queue management mechanism which falls under two categories depending upon whether it is medium or severe network congestion
Summary
The Internet carries certain critical data and information which needs to be delivered to the receiver at all cost (Huang et al, 2008). The primary factor hindering the flow of traffic is the network congestion Another issue in data communication is the speed of data transmission. Overall the primary motivation of our research is to achieve better reliability, scalability, maximum throughput, minimum delay and high utilization for effective data transfer. The need for various applications to transmit massive amount of data along with seamless flow within a short duration has led to the emergence of high-speed network. For the continuous flow of data, the queue management scheme is important In this regard Packets are dropped from the queue where the queue size exceeds the queue threshold value. The Packet drop ratio becomes high leading to the reduction in throughput
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