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

Closed Posted 6 years ago Paid on delivery
Closed Paid on delivery

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.

Engineering Java Machine Learning (ML) Python Software Development

Project ID: #15942967

About the project

4 proposals Remote project Active 6 years ago

4 freelancers are bidding on average RM1583 for this job

hamzaisb

i am a python developer and i did develop many project in python and i use machine learning libraries to build intelligent applications like keras, TensorFlow and Scikit learn and graph lab in python Relevant Skills More

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anuragiitk

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VirtualBrainInc

I have briefly read the description on java development, and I can deliver as per the requirements however I need us to discuss for more clarity on the details, deadline and budget as well. Relevant Skills and Experie More

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fastlabindia

I am good in , JAVA, ASP, DOT NET , Android, Java, C/C++, AJAX, JavaScript, C#, Visual Basic, JQUERY and etc Relevant Skills and Experience I am good in , JAVA, ASP, DOT NET , Android, Java, C/C++, AJAX, JavaScript, C More

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