![](/images/graphics-bg.png)
A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN
Joint Authors
Source
Mathematical Problems in Engineering
Issue
Vol. 2020, Issue 2020 (31 Dec. 2020), pp.1-8, 8 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2020-10-06
Country of Publication
Egypt
No. of Pages
8
Main Subjects
Abstract EN
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.
American Psychological Association (APA)
Wang, Li& Wang, Xiaokai. 2020. A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN. Mathematical Problems in Engineering،Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194586
Modern Language Association (MLA)
Wang, Li& Wang, Xiaokai. A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN. Mathematical Problems in Engineering No. 2020 (2020), pp.1-8.
https://search.emarefa.net/detail/BIM-1194586
American Medical Association (AMA)
Wang, Li& Wang, Xiaokai. A Novel Hybrid Optimization Algorithm for Scalable Video Coding in an SDN. Mathematical Problems in Engineering. 2020. Vol. 2020, no. 2020, pp.1-8.
https://search.emarefa.net/detail/BIM-1194586
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1194586