Abstract
With the continuous development of network technology, the number of streaming media videos is growing rapidly. More and more users are watching videos through the Internet, which leads to the increasing huge server load and the increasing transmission cost across ISP domains. A feasible scheme to reduce transmission cost across ISP domains and alleviate the server load is to cache some popular videos in a large number of terminal users. Therefore, in this paper, in order to utilize the idle resources of the terminal peers, some peers with good performance were selected from the fixed peers as the super peers, which were aggregated into a super peer set (SPS). In addition, with the supply and demand relation of streaming videos among ISP domains, a mathematical model was formulated to optimize the service utility of ISP. Then, a collaborative cache strategy was proposed based on the utility optimization. The simulation results show that the strategy proposed can effectively improve the user playback fluency and hit rate while ensuring the optimal service utility.
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Acknowledgement
This research was supported by the national key research and development program of China (No. 2020YFF0305301), the National Natural Science Foundation (61762029, U1811264).
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Liu, P., Liu, S., Huang, G. (2021). A Collaborative Cache Strategy Based on Utility Optimization. In: Zeng, J., Qin, P., Jing, W., Song, X., Lu, Z. (eds) Data Science. ICPCSEE 2021. Communications in Computer and Information Science, vol 1451. Springer, Singapore. https://doi.org/10.1007/978-981-16-5940-9_11
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DOI: https://doi.org/10.1007/978-981-16-5940-9_11
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