https://scholars.lib.ntu.edu.tw/handle/123456789/607171
標題: | Collaborative Social-Aware and QoE-Driven Video Caching and Adaptation in Edge Network | 作者: | Chiang Y Hsu C.-H HUNG-YU WEI |
關鍵字: | collaborative caching;Multi-access edge computingg;quality of experience;social network;video adaptation;Image coding;Quality of service;Video cameras;Cache algorithms;Emerging demands;First designs;Hidden information;High definition video;Quality of experience (QoE);Video adaptation;Video caching;5G mobile communication systems | 公開日期: | 2021 | 卷: | 23 | 起(迄)頁: | 4311-4325 | 來源出版物: | IEEE Transactions on Multimedia | 摘要: | With the emerging demand for high-definition videos in recent years, Multi-access Edge Computing (MEC) has become a promising solution to leverage Quality of Experience (QoE) of users in the 5G mobile network, which provides computing and cache resource at network edges to serve end users with less latency. Also, since mobile users tend to be influenced by the trends in social media, the performance of video caching will become more effective if we can extract the hidden information from interaction among them. In this paper, we propose a novel Collaborative Social-aware QoE-driven video Caching and Adaption (CSQCA) framework. Specifically, we first design a 2-tier MEC collaborative video caching architecture, which partially caches popular videos among multiple edge servers. Second, we propose a social-aware proactive cache strategy, which embeds interactions of users and video dissemination process in social networks into the caching mechanism. Third, a QoE-driven video adaptation algorithm is presented to dynamically transcode the cached videos into appropriate resolution on edge server for each request. Finally, we conduct our simulation based on real-world datasets. The simulation results show that the proposed CSQCA framework outperforms traditional cache algorithms, in terms of the average hit ratio and QoE. ? 1999-2012 IEEE. |
URI: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85097129316&doi=10.1109%2fTMM.2020.3040532&partnerID=40&md5=41120e8bef81ba80f9c154158be180ee https://scholars.lib.ntu.edu.tw/handle/123456789/607171 |
ISSN: | 15209210 | DOI: | 10.1109/TMM.2020.3040532 |
顯示於: | 電機工程學系 |
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