TY - GEN
T1 - Performance measure of drop tail and RED algorithm
AU - Patel, Sanjeev
AU - Gupta, Pankaj
AU - Singh, Ghanshyam
PY - 2010
Y1 - 2010
N2 - This Transmission control protocol (TCP) detects congestion only after a packet has been dropped and it would be undesirable to have large queue because it would significantly increase the average delay in the network. In the current high speed networks, it is increasingly important to have mechanisms that keep throughput high but average queue sizes low. This paper presents comparison between two queuing management system Random Early Detection (RED) and Drop tail for avoiding the congestion in high speed packet switched networks. In this paper we are trying to detect superfluous congestion by averaging the queue size. If average queue size exceeds with respect to required threshold value, router drops the packet with some drop probability determined by some probabilistic distribution, it can be further modified to give a better result. Drop probability of the packet is calculated by knowing the packet loss and this packet loss is minimized by modifying the congestion window size. In this paper we consider the own networks and we show the results of different protocols for particular network topology.
AB - This Transmission control protocol (TCP) detects congestion only after a packet has been dropped and it would be undesirable to have large queue because it would significantly increase the average delay in the network. In the current high speed networks, it is increasingly important to have mechanisms that keep throughput high but average queue sizes low. This paper presents comparison between two queuing management system Random Early Detection (RED) and Drop tail for avoiding the congestion in high speed packet switched networks. In this paper we are trying to detect superfluous congestion by averaging the queue size. If average queue size exceeds with respect to required threshold value, router drops the packet with some drop probability determined by some probabilistic distribution, it can be further modified to give a better result. Drop probability of the packet is calculated by knowing the packet loss and this packet loss is minimized by modifying the congestion window size. In this paper we consider the own networks and we show the results of different protocols for particular network topology.
KW - Drop tail
KW - Dropping probability
KW - Random drop
KW - Random early detection
KW - Transmission control protocol (TCP)
KW - User data gram protocol (UDP)
UR - http://www.scopus.com/inward/record.url?scp=77954421095&partnerID=8YFLogxK
U2 - 10.1109/ICECTECH.2010.5479996
DO - 10.1109/ICECTECH.2010.5479996
M3 - Conference contribution
AN - SCOPUS:77954421095
SN - 9781424474059
T3 - ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
SP - 35
EP - 38
BT - ICECT 2010 - Proceedings of the 2010 2nd International Conference on Electronic Computer Technology
T2 - 2010 International Conference on Electronic Computer Technology, ICECT 2010
Y2 - 7 May 2010 through 10 May 2010
ER -