中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
DUASVS: A Mobile Data Saving Strategy in Short-Form Video Streaming

文献类型:期刊论文

作者Zhang, Guanghui8; Zhang, Jie3; Liu, Ke7; Guo, Jing4; Lee, Jack Y. B.5; Hu, Haibo6; Aggarwal, Vaneet1,2
刊名IEEE TRANSACTIONS ON SERVICES COMPUTING
出版日期2023-03-01
卷号16期号:2页码:1066-1078
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
ISSN号1939-1374
DOI10.1109/TSC.2022.3150012
英文摘要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.
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
语种英语
WOS记录号WOS:000965129700022
出版者IEEE COMPUTER SOC
源URL[http://119.78.100.204/handle/2XEOYT63/21405]  
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.Purdue Univ, Sch Ind Engn, W Lafayette, IN 47907 USA
2.Purdue Univ, Sch Elect & Comp Engn, W Lafayette, IN 47907 USA
3.Univ Sci & Technol China USTC, Dept Elect Engn & informat Sci EEIS, Hefei, Anhui, 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.Chinese Acad Sci, Inst Comp Technol, State Key Lab Comp Architecture, Beijing 100190, Peoples R China
8.Hong Kong Baptist Univ, Dept Comp Sci, Kowloon, Hong Kong, Peoples R China
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.

入库方式: OAI收割

来源:计算技术研究所

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