DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming

doi:10.1109/TSC.2022.3150012

	DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming
	Zhang, Guanghui 1; Zhang, Jie 2; Liu, Ke 3; Guo, Jing 4; Lee, Jack Y. B.5; Hu, Haibo 6; Aggarwal, Vaneet 7,8
	2023-03-01
发表期刊	IEEE TRANSACTIONS ON SERVICES COMPUTING
ISSN	1939-1374
卷号	16 期号:2 页码:1066-1078
摘要	Fueled by the emerging short video applications (e.g., TikTok), streaming short-form videos nowadays is ubiquitous among mobile users. During the viewing, one common action is to scroll the screen to switch videos, which is a handy operation for the viewers to quickly search for content of interest. However, our empirical measurements reveal that frequent video switching can result in nearly half of the mobile data quota being used for transferring the video data that is never watched. This problem is called data loss in this work. Given the immense cost of the network infrastructure, such a high proportion of data loss is financially tremendous to both mobile users and streaming vendors. To tackle the problem, this study proposes a novel system called Data Usage Aware Short Video Streaming (DUASVS), where a new Integrated Learning is used to capture the characters of past network conditions and then trains intelligent adaptation models to reduce data loss and save data usage. Extensive evaluations show that DUASVS is able to save 70.7%similar to 83.2% of mobile data usage without incurring any QoE degradation. Moreover, the system exhibits strong robustness, performing consistently over a wide range of network environments as well as video streaming sessions.
关键词	Streaming media Switches Bit rate Prefetching Quality of experience Bandwidth Adaptation models Short video streaming mobile network data usage quality-of-experience video reliability
DOI	10.1109/TSC.2022.3150012
收录类别	SCI
语种	英语
资助项目	Centre for Advances in Reliability and Safety (CAiRS) Admitted ; National Natural Science Foundation of China[62101523] ; Fundamental Research Funds for the Central Universities
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering
WOS记录号	WOS:000965129700022
出版者	IEEE COMPUTER SOC
引用统计	被引频次：1[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/2XEOYT63/21406
专题	中国科学院计算技术研究所期刊论文_英文
通讯作者	Zhang, Jie
作者单位	1.Hong Kong Baptist Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China 2.Univ Sci & Technol China USTC, Dept Elect Engn & informat Sci EEIS, Hefei, Anhui, Peoples R China 3.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China 4.Hong Kong Polytech Univ, Dept Comp, Kowloon, Hong Kong, Peoples R China 5.Chinese Univ Hong Kong, Dept Informat Engn, Shatin, Hong Kong, Peoples R China 6.Hong Kong Polytech Univ, Dept Elect & Informat Engn, Kowloon, Hong Kong, Peoples R China 7.Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA 8.Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
推荐引用方式 GB/T 7714	Zhang, Guanghui,Zhang, Jie,Liu, Ke,et al. DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming[J]. IEEE TRANSACTIONS ON SERVICES COMPUTING,2023,16(2):1066-1078.
APA	Zhang, Guanghui.,Zhang, Jie.,Liu, Ke.,Guo, Jing.,Lee, Jack Y. B..,...&Aggarwal, Vaneet.(2023).DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming.IEEE TRANSACTIONS ON SERVICES COMPUTING,16(2),1066-1078.
MLA	Zhang, Guanghui,et al."DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming".IEEE TRANSACTIONS ON SERVICES COMPUTING 16.2(2023):1066-1078.