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.
Highlights
In the recent years, Scalable Video Coding (SVC) [1] has arisen as a powerful solution over heterogeneous networks and diversified end users, such as Wireless Multimedia Communication, Video on Demand, Remote Monitoring, and Digital Video Broadcasting
We present the Software-Defined Network (SDN) architecture shown in Figure 1. e OpenFlow controller realizes the control function through the global network view, and the OpenFlow switch forwards packets according to control instruction to represent data plane. e traffic flow is divided into two parts, the scalable video flow providing guaranteed Quality of Service (QoS) and the nonscalable video flow discarded when the bandwidth is insufficient
In order to evaluate the performance of NHO-SVC in SDN, there are two experiments designed
Summary
Scalable Video Coding (SVC) [1] has arisen as a powerful solution over heterogeneous networks and diversified end users, such as Wireless Multimedia Communication, Video on Demand, Remote Monitoring, and Digital Video Broadcasting. To face the advance in mobile 3D display, article [2] proposed a QoE-oriented transcoding approach, which uses a linear mean opinion score interpolation method to further reduce the cumbersome manual work of preparing QoE patterns In another scene of dynamic traffic steering, article [3] tried to provide a framework for addressing several wellknown limitations of video streaming to control forwarding paths of on-demand live video streams. SVC is adapted to the heterogeneous and time-varying network, but its flexibility is limited in the TCP/IP network due to the lack of the real-time information about network devices Facing this problem, the Software-Defined Network (SDN) [4] has arisen with the separation of the control plane and data plane which can implement some richer functions.
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