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سی و چهارمین کنفرانس بین المللی مهندسی برق
A Novel Supervisor Framework Toward Optimizing User Quality of Experience for Video Streaming in Software-Defined Networks
نویسندگان :
Nafiseh Fareghzadeh
1
Mahdi Bazargani
2
Sasan H. Alizadeh
3
Hasan Ziafat
4
1- Department of Computer Engineering, Khod.c., Islamic Azad University, Khodabandeh, Iran
2- Computer Engineering, Za.C., Islamic Azad University, Zanjan, Iran
3- Faculty of Information Technology, ICT Research Institute, Tehran, Iran
4- Department of computer Engineering, Nat.C., Islamic Azad University, Natanz, Iran
کلمات کلیدی :
Quality of Experience،Software-Defined Networks،Video Streaming Optimization،Weighted Fuzzy Petri Nets،Resource Management
چکیده :
The growing demand for real-time video services has made QoE management a key challenge in Software-Defined Networks (SDNs). Existing methods mainly focus on QoS metrics and overlook user-centric QoE optimization. This study presents a WFPN-based supervisor framework that adaptively improves video QoE while efficiently managing SDN resources. A QoE model using PSNR and MOS guides dynamic resource allocation and traffic prioritization. Simulations show notable improvements, including 25% lower jitter, 15% higher throughput, and PSNR above 34dB. The framework also increases resource efficiency by 20% compared to baseline methods, demonstrating its effectiveness for QoE-driven SDN management.
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بیشتر
ثمین همایش، سامانه مدیریت کنفرانس ها و جشنواره ها - نگارش 44.7.2
