Paper Title :Flow Based RED for LAN Useful Traffic Classification and Detection to Ensure Fair Bandwidth Usage

Author :Yihdego, Abel Nahusenay

Article Citation :Yihdego ,Abel Nahusenay , (2017 ) " Flow Based RED for LAN Useful Traffic Classification and Detection to Ensure Fair Bandwidth Usage " , International Journal of Advance Computational Engineering and Networking (IJACEN) , pp. 47-49, Volume-5, Issue-4

Abstract : Traffic classification is an automated process which categorize computer network traffic using various parameters like port number or protocol in to a number of traffic classes. Each resulting traffic class can be treated differently in order to differentiate the services implied for the user. In this literature I am suggesting to make Random Early Discard flow based and use it to study traffic entering a local area network by performing Passive Measurement and Identifying the useful responsive and unresponsive flows so that not to penalize all unresponsive flows. Keywords— Random Early Discard (RED), Transmission Control Protocol (TCP), User Datagram Protocol (UDP), Internet Protocol (IP), Source (SRC), Destination (DST), Internet Control Message Protocol (ICMP), First In First Out (FIFO), Minimum Threshold (min-th), Maximum Threshold (max-th), Deep Packet Inspection (DPI), Quality of Service (QoS), Passive Measurement (PM) Congestion Avoidance (CA), Congestion Control (CC), Scheduling Algorithm (SA), Voice Over IP (VOIP), For Example (E.g).

Type : Research paper

Published : Volume-5, Issue-4

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