Firstly, I want to implement online traffic classification means (built classifier in switch and controller) by (semi-supervised techniques on incremental kmeans) that classifies service types to (elephant flow and mice flow) in software defined networking (SDN).
Secondly, After I will use the input types of traffic (elephant flow or mice flow) and other parameters bandwidth utilization ratio, packet loss rate, transmission latency and transmission hops to a load balancing technique, to handle high controller load in data plane in SDN, and used fives parameters inputs to a hybrid techniques ( artificial neural
Network and ant colony optimization) will be use 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. ). The effectiveness of the proposed method will be verified through available real network traffic datasets from various sources, and it will be used to benchmark the performance of the algorithm.
am looking for SDN developers
am looking for SDN developers
Bu iş için 11 freelancer ortalamada $486 teklif veriyor
Dear sir. Your project attracted my attention at first glance, because I've extensive experience in Machine Learning & Traffic Classification Programming. I'm really confident about your project, and very eager to jo Daha Fazla
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Hello sir. I'm excited about your project, because I've really rich experience in Machine Learning & Python Programming. I've developed many projects similar to yours and excellent skills. If you award me, I'll prov Daha Fazla
I believe that my experience and skill in this background will prove to be of great help to you. Contact me to discuss more on the details
Hello, i have read the details provided..please contact me to discuss more on the project deadline and some other few things
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