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Regular Paper

Comprehensive Multistep Prefetching Strategy for Short Video Streaming

School of Computer Science and Engineering, Central South University, Changsha 410083, China
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Abstract

The short video market is currently growing rapidly. As a typical bandwidth-intensive application, short video streaming can easily cause bandwidth bottlenecks in servers. Hence, we propose a prefetching strategy to improve the quality of experience (QoE) and reduce the wastage of bandwidth, utilizing computility for performance optimization. We reveal that the state-of-the-art Dashlet prefetching strategy fails to maximize the weighted sum of QoE and bandwidth usage (i.e., utility). To overcome this limitation, the proposed comprehensive multistep prefetching strategy (CMPS) for short video streaming computes the prefetching urgency of chunks and combines it with expected utility to comprehensively evaluate multistep decision sequences, achieving higher QoE and bandwidth utilization than Dashlet. The extensive evaluations show that the proposed CMPS improves the average utility across diverse scenarios by 16.1% compared with Dashlet.

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Journal of Computer Science and Technology
Pages 533-547

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Cite this article:
Jiang W-C, Shan Y-X, Hu J-T, et al. Comprehensive Multistep Prefetching Strategy for Short Video Streaming. Journal of Computer Science and Technology, 2026, 41(2): 533-547. https://doi.org/10.1007/s11390-025-5573-y

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Received: 16 May 2025
Accepted: 29 December 2025
Published: 31 March 2026
© Institute of Computing Technology, Chinese Academy of Sciences 2026