4.6 Article

Opportunistic Transmission for Video Streaming over Wild Internet

Publisher

ASSOC COMPUTING MACHINERY
DOI: 10.1145/3488722

Keywords

DASH; video streaming; ABR

Funding

  1. National Natural Science Foundation of China [62132022, 61872387, 62002066, 61972421]
  2. Key Research and Development Program of Hunan [2022WK2005]
  3. Natural Science Foundation of Hunan Province, China [2021JJ30867]
  4. China Postdoctoral Science Foundation [2021M690705]

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The article proposes a client-side building block named OCRM to help ABR algorithms improve user viewing experience and network utilization by opportunistically transmitting high-quality chunks to the client, resulting in up to 35% improvement in user experience.
The video streaming system employs adaptive bitrate (ABR) algorithms to optimize a user's quality of experience. However, it is hard for ABR algorithms to choose the right bitrate consistently under highly dynamic bandwidth fluctuations in wild Internet. In this article, we propose a building block on the client side named Opportunistic Chunk Replacement Mechanism (OCRM) to help existing ABR algorithms make full use of the available bandwidth to improve the network utilization and viewing experience of users. Specifically, the servers take advantages of the spare bandwidth to opportunistically transmit high-quality chunks (called opportunistic chunks) with low priority to the client, without incurring any extra delay. Then, the client player replaces the low-quality chunks with the opportunistic ones that have high quality. We compare OCRM with state-of-the-art ABR algorithms by using trace-driven experiments spanning a wide variety of quality of experience metrics and network conditions. The test results show that OCRM effectively achieves high network utilization and improves the user's viewing experience by up to 35%.

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