Implementation laod balancing for software defined networking(SDN) using traffic classifcation

Ditutup Disiarkan 6 tahun lepas Dibayar semasa penghantaran

RM825-2475 MYR

Dibayar semasa penghantaran

Ditutup Dibayar semasa penghantaran

Firstly, I want to implement online traffic classification (semi-supervised techniques on incremental kmeans) that classifies service types in software defined networking (SDN) , and after that metering the total number of packet, and total number of packet (uplink) , total number of packet (downlink).

Secondly, After i will use the input of online traffic classification to a load balancing technique, to handle high controller load in data plane in SDN, i will used a hybrid techniques ( artificial neural

network and ant colony optimization) will be used to develop Load Balancing mechanism to obtain

the best route in data plane.

Finally, the overall system will be implemented in hierarchical controllers Load Balancing by using Dynamic Adaptive load balancing Algorithm , in control plane. all this work will be implement in implemented in mininet simulation by using Floodlight controller or ONOS Controller.

Kejuruteraan Java Machine Learning (ML) Python Pembangunan Perisian

ID Projek: #15942967

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