Scalable Video Coding (SVC) is a powerful solution to video application over heterogeneous networks and diversified end users.\nIn the recent years, works mostly concentrate on transported layers or path for a single layer in the Software-Defined Network\n(SDN). This paper proposes the Novel Hybrid Optimization Algorithm for Scalable Video Coding (NHO-SVC) based on Genetic\nAlgorithm to select the layer and path simultaneously. The algorithm uses the 0/1 knapsack programming model to set up the\nmodel, predicts the network states by the Autoregressive Integrated Moving Average Model (ARIMA), and then, makes decision\nbased on Genetic Algorithm.
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