Journal of the Korea Institute of Information and Communication Engineering (한국정보통신학회논문지)

The Korea Institute of Information and Commucation Engineering (한국정보통신학회)
권호 표지
DOI QR코드

DOI QR Code

An Energy-aware Buffer-based Video Streaming Optimization Scheme

에너지 효율적인 버퍼 기반 비디오 스트리밍 최적화 기법

  • Received : 2022.08.26
  • Accepted : 2022.09.15
  • Published : 2022.10.31
Download PDF
⟨ Previous Next ⟩

Abstract

Video streaming applications such as Netflix and Youtube are widely used in our daily life. A DASH based streaming client exploits adaptive bit rate (ABR) method to choose the most appropriate video source representation that the network can support. In this paper we propose a novel energy-aware ABR scheme that adds the ability to monitor energy efficiency in addition to the linear quadratic regulator algorithm we previously introduced. Our trace-driven simulation studies show that our proposed scheme mitigates and shortens re-buffering, resulting in energy savings of mobile devices while preserving the similar QoE compared to the state-of-the-art ABR algorithms.

Keywords

References

  1. Sandvine. The Mobile Internet Phenomena Report, 1H 2020 [Internet]. Available: https://www.sandvine.com/download-report-mobileinternet-phenomena-report-2020-sandvine.
  2. T. Stockhammer, "Dynamic Adaptive Streaming over HTTP - Standards and Design Principles," in Proceeding of the second annual ACM conference on Multimedia systems, San Jose: CA, USA, pp. 133-144, 2011.
  3. T. Y. Huang, R. Johari, N. McKeown, M. Trunnell, and M. Watson, "A Buffer-based Approach to Rate Adaptation: Evidence from a Large Video Streaming Service," in Proceeding of the ACM SIGCOMM Computer Communication Review, Chicago: IL, USA, vol. 44, no. 4, pp. 187-198, 2014.
  4. B. O. Turkkan, T. Dai, A. Raman, T. Kosar, C. Chen, M. F. Bulut, J. Zola, and D. Sow, "GreenABR: Energy-Aware Adaptive Bitrate Streaming with Deep Reinforcement Learning," in Proceeding of the ACM Multimedia Systems Conference, Athlone, Ireland, pp. 150-163, 2022.
  5. Y. Kang, "A Novel Bit Rate Adaptation using Buffer Size Optimization for Video Streaming," International Journal of Internet, Broadcasting and Communication, vol. 12, no. 4, pp. 166-172, Dec. 2020. https://doi.org/10.7236/IJIBC.2020.12.4.166
  6. G. Tian and Y. Liu, "Towards Agile and Smooth Video Adaptation in Dynamic HTTP Streaming," in Proceeding of the ACM CoNEXT, Nice, France, pp. 109-120, 2012.
  7. X. Yin, A. Jindal, V. Sekar, and B. Sinopoli, "A Control-Theoretic Approach for Dynamic Adaptive Video Streaming over HTTP," in Proceedings of the 2015 ACM Conference on Special Interest Group on Data Communication, London, UK, pp. 325-338, 2015.
  8. Y. Lim, "Cost-Efficient Framework for Mobile Video Streaming using Multi-Path TCP," KSII Transactions on Internet and Informations Systems, vol. 16, no. 4, pp. 1249-1265, Apr. 2022.
  9. Y. Kang and Y. Lim, "Bit Rate Adaptation Using Linear Quadratic Optimization for Mobile Video Streaming," Applied Sciences, vol. 11, no. 1, pp. 99, Dec. 2020. https://doi.org/10.3390/app11010099
  10. H. Riiser, P. Vigmostad, C. Griwodz, and P. Halvorsen, "Commute Path Bandwidth Traces from 3G Networks: Analysis and Applications," in Proceeding of the ACM Multimedia Systems Conference, pp. 114-118, Oslo, Norway, pp. 114-118, 2013.