Abstract
Currently, video streaming technology is widely used for entertainment, advertising, social networking and so on. Dynamic adaptive streaming over HTTP (DASH) has largely replaced the previous release of streaming video using UDP. Many researchers have proposed algorithms to improve DASH performance. There are two types of methods: bandwidth-based and buffer-based. Both methods have pros and cons. In this article, we propose a DASH algorithm that takes both bandwidth and buffer into account. And we imitate the method of network congestion control to adjust bitrate of the video segment. The algorithm was implemented and tested, and compared with the state-of-the-art DASH algorithm–BOLA. The results showed that B2DASH outperformed BOLA for both the average bitrate and buffer rise time.
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This work was supported by State Key Laboratory of Smart Grid Protection and Control of NARI Group Corporation.
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© 2018 ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
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Du, P., Wang, J., Wang, X., Xu, Z. (2018). B2DASH: Bandwidth and Buffer-Based Dynamic Adaptive Streaming over HTTP. In: Meng, L., Zhang, Y. (eds) Machine Learning and Intelligent Communications. MLICOM 2018. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, vol 251. Springer, Cham. https://doi.org/10.1007/978-3-030-00557-3_56
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DOI: https://doi.org/10.1007/978-3-030-00557-3_56
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