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

doi:10.1109/TMC.2021.3069764

	Post-Streaming Wastage Analysis - A Data Wastage Aware Framework in Mobile Video Streaming
	Zhang, Guanghui 1,2; Liu, Ke 3,4; Hu, Haibo 1,5; Aggarwal, Vaneet 6,7; Lee, Jack Y. B.8
	2023
发表期刊	IEEE TRANSACTIONS ON MOBILE COMPUTING
ISSN	1536-1233
卷号	22 期号:1 页码:389-401
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.
关键词	Video streaming mobile network data wastage quality-of-experience
DOI	10.1109/TMC.2021.3069764
收录类别	SCI
语种	英语
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
WOS类目	Computer Science, Information Systems ; Telecommunications
WOS记录号	WOS:000894974200025
出版者	IEEE COMPUTER SOC
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://119.78.100.204/handle/2XEOYT63/20211
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.Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China 2.Ctr Adv Reliabil & Safety CAiRS, Pak Shek Kok, Hong Kong, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100864, Peoples R China 4.Univ Chinese Acad Sci UCAS, Beijing 100049, Peoples R China 5.PolyU Shenzhen Res Inst, Shenzhen 518000, Guangdong, Peoples R China 6.Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA 7.Purdue Univ, Comp Engn, W Lafayette, IN 47907 USA 8.Chinese Univ Hong Kong, Dept Informat Engn, Shatin, 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.