QoE-driven resource allocation for massive video distribution

被引：10
|
作者：
De Cicco, Luca [1 ]
Mascolo, Saverio [1 ]
Palmisano, Vittorio [1 ]
机构：
[1] Politecn Bari, Dipartimento Ingn Elettr & Informaz, Via Orabona 4, I-70125 Bari, Italy
来源：
AD HOC NETWORKS | 2019年 / 89卷 / 170-176期
关键词：
Adaptive video streaming; Video Control Plane; Quality of Experience;
D O I：
10.1016/j.adhoc.2019.02.008
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Massive video delivery systems employ the HTTP protocol and multiple Content Delivery Networks (CDNs), which serve the content to the end-users on behalf of the video providers and guarantee scalability and Quality of Experience (QoE). In this paper, a Video Control Plane (VCP) is presented which monitors the QoE delivered by any of the CDN belonging to its pool and selects the most performing one when a new video request is received. The VCP employs a continuously updated prediction of the CDNs performances based on the feedback sent by the video clients and computed through a k-NN regression algorithm. The proposed VCP has been evaluated through simulations and shows significant performance improvement in terms of QoE delivered to the user. (C) 2019 Elsevier B.V. All rights reserved.
引用
收藏
页码：170 / 176
页数：7
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