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Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming

文献类型：期刊论文

作者Zhang, Guanghui7,8; Liu, Ke5,6; Hu, Haibo4,8; Aggarwal, Vaneet2,3; Lee, Jack Y. B.1
刊名IEEE TRANSACTIONS ON MOBILE COMPUTING
出版日期2023
卷号22期号:1页码:389-401
关键词Video streaming mobile network data wastage quality-of-experience
ISSN号1536-1233
DOI10.1109/TMC.2021.3069764
英文摘要Mobile video streaming is now ubiquitous among mobile users. This work investigates a less studied and yet significant problem in mobile video streaming - data wastage, i.e., some downloaded video data may not be played back but discarded by video players due to early departure or video skip, thus the bandwidth consumed in transferring them is wasted. Our measurements show that data wastage is significant in practice, e.g., 25.2 percent similar to 51.7 percent of video data downloaded are in fact wasted. Moreover, substantial data wastage exists not only in current commercial streaming platforms, but also in state-of-the-art adaptive streaming systems proposed in the literature. This work develops a new post-streaming wastage analysis (PSWA) framework to tackle this problem by converting existing adaptive streaming algorithms into data wastage aware versions. PSWA enables the streaming vendors to explicitly control the tradeoff between data wastage and quality-of-experience (QoE). Extensive evaluations show that PSWA can reduce data wastage significantly (e.g., 80 percent) without any adverse impact on QoE. Moreover, it has strong robustness to perform consistently across a wide range of networks. PSWA can be readily implemented into current streaming platforms, and thus offers a practical solution to data wastage for mobile streaming services.
资助项目Centre for Advances in Reliability and Safety Limited (CAiRS)under AIR@InnoHK research cluster, General Program of National Natural Science Foundation of China[62072439] ; National Key Research and Development Pro-gram of China (13th Five-Year Plan)[2016YFB1000200] ; Shandong Provincial Natural Science Foundation[ZR2019LZH004] ; Beijing Municipal Natural Science Foundation[4212028]
WOS研究方向Computer Science ; Telecommunications
语种英语
WOS记录号WOS:000894974200025
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/20210]  
专题中国科学院计算技术研究所期刊论文
通讯作者Liu, Ke
作者单位1.Chinese Univ Hong Kong, Dept Informat Engn, Shatin, Hong Kong, Peoples R China
2.Purdue Univ, Comp Engn, W Lafayette, IN 47907 USA
3.Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
4.PolyU Shenzhen Res Inst, Shenzhen 518000, Guangdong, Peoples R China
5.Univ Chinese Acad Sci UCAS, Beijing 100049, Peoples R China
6.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100864, Peoples R China
7.Ctr Adv Reliabil & Safety CAiRS, Pak Shek Kok, Hong Kong, Peoples R China
8.Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China
推荐引用方式
GB/T 7714		 Zhang, Guanghui,Liu, Ke,Hu, Haibo,et al. Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming[J]. IEEE TRANSACTIONS ON MOBILE COMPUTING,2023,22(1):389-401.
APA Zhang, Guanghui,Liu, Ke,Hu, Haibo,Aggarwal, Vaneet,&Lee, Jack Y. B..(2023).Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming.IEEE TRANSACTIONS ON MOBILE COMPUTING,22(1),389-401.
MLA Zhang, Guanghui,et al."Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming".IEEE TRANSACTIONS ON MOBILE COMPUTING 22.1(2023):389-401.

入库方式： OAI收割

来源：计算技术研究所

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