An intelligent scheduling for Network Traffic Management System in congestion Control using GA
|International Journal of Electronics and Communication Engineering|
|© 2014 by SSRG - IJECE Journal|
|Volume 1 Issue 1|
|Year of Publication : 2014|
|Authors : P.Ganeshan and D.prasanna|
How to Cite?
P.Ganeshan and D.prasanna, "An intelligent scheduling for Network Traffic Management System in congestion Control using GA," SSRG International Journal of Electronics and Communication Engineering, vol. 1, no. 1, pp. 15-16, 2014. Crossref, https://doi.org/10.14445/23488549/IJECE-V1I1P104
NETWORK traffic management can prevent a network from severe congestion and degradation in throughput delay Performance. Traffic congestion control is one of the effective approaches to manage the network traffic. Traffic management involves the design of a set of mechanisms which ensure that the network bandwidth and computational resources are efficiently utilized while meeting the various Quality of Service (QoS) guarantees given to sources as part of a traffic contract.The general problem of network traffic management involves all the available traffic classes. In existing intelligent congestion control use the Intel Rate Controller for the instantaneous queue size alone to effectively throttle the source sending rate with max-min fairness while does not considered the non linearity of the traffic control systems and external attacks. In this dissertation we concentrate our efforts on intelligent optimization techniques, such as genetic algorithms (GAs), intrusion detection system (IDS). In GAs facilitate an efficient non-linear function optimization paradigm and avoid congestion in traffic management. The intrusion detection system (IDS) is can detect the attacks. These evaluation result shows our new techniques can achieve better performances than the existing schemes.
Congestion control, GA, QOS.
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