Compression-based technique for SDN using sparse-representation dictionary
A Al-Jawad, P Shah, O Gemikonakli… - NOMS 2016-2016 …, 2016 - ieeexplore.ieee.org
As Software-Defined Networks (SDN) emerged, the control and forwarding planes were
abstracted using the standardized OpenFlow protocol which led to the increasing demand …
abstracted using the standardized OpenFlow protocol which led to the increasing demand …
[PDF][PDF] A Neural Network Model Deployed in the Cloud for Prediction of Network Traffic
R Dhanoa, W Haque - Proceedings of the World Congress on …, 2016 - iaeng.org
A multi-step neural network based predictive model is developed and trained offline,
deployed in the cloud for real-time scoring, and used to predict network traffic. The …
deployed in the cloud for real-time scoring, and used to predict network traffic. The …
Prediction and preemptive control of network congestion in distributed real-time environment
R Dhanoa, W Haque - 2016 IEEE International Black Sea …, 2016 - ieeexplore.ieee.org
Network congestion must be managed to increase system throughput and quality of service.
The existing congestion control approaches such as source throttling and rerouting focus on …
The existing congestion control approaches such as source throttling and rerouting focus on …
[引用][C] PREDIKSI PASANG SURUT AIR LAUT MENGGUNAKAN AUTOREGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA)
K Setiawan, M Bettiza, H Kurniawan