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A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN

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  • Li Wang
  • Xiaokai Wang

Abstract

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

Suggested Citation

  • Li Wang & Xiaokai Wang, 2020. "A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN," Mathematical Problems in Engineering, Hindawi, vol. 2020, pages 1-8, October.
    • Handle: RePEc:hin:jnlmpe:3694642
    DOI: 10.1155/2020/3694642
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