LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning

Jianchao He, Miao Hu, Yipeng Zhou, Di Wu

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contributionpeer-review

Abstract

Recent years have witnessed great success of mobile short-form video apps. However, most current video streaming strategies are designed for long-form videos, which cannot be directly applied to short-form videos. Especially, short-form videos differ in many aspects, such as shorter video length, mobile friendliness, sharp popularity dynamics, and so on. Facing these challenges, in this paper, we perform an in-depth measurement study on Douyin, one of the most popular mobile short-form video platforms in China. The measurement study reveals that Douyin adopts a rather simple strategy (called Next-One strategy) based on HTTP progressive download, which uses a sliding window with stop-and-wait protocol. Such a strategy performs poorly when network connection is slow and user scrolling is fast. The results motivate us to design an intelligent adaptive streaming scheme for mobile short-form videos. We formulate the short-form video streaming problem and propose an adaptive short-form video streaming strategy called LiveClip using a deep reinforcement learning (DRL) approach. Trace-driven experimental results prove that LiveClip outperforms existing state-of-the-art approaches by around 10%-40% under various scenarios.

Original languageEnglish
Title of host publicationNOSSDAV 2020 - Proceedings of the 2020 Workshop on Network and Operating System Support for Digital Audio and Video, Part of MMSys 2020
Place of PublicationNew York, NY
PublisherAssociation for Computing Machinery (ACM)
Pages54-59
Number of pages6
ISBN (Electronic)9781450379458
DOIs
Publication statusPublished - 2020
Event30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2020, Part of MMSys 2020 - Istanbul, Turkey
Duration: 10 Jun 202011 Jun 2020

Publication series

NameNOSSDAV 2020 - Proceedings of the 2020 Workshop on Network and Operating System Support for Digital Audio and Video, Part of MMSys 2020

Conference

Conference30th ACM Workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2020, Part of MMSys 2020
CountryTurkey
CityIstanbul
Period10/06/2011/06/20

Keywords

  • Measurements
  • Reinforcement learning
  • Short-form video

Fingerprint Dive into the research topics of 'LiveClip: towards intelligent mobile short-form video streaming with deep reinforcement learning'. Together they form a unique fingerprint.

Cite this