流行度感知的无线视频云边缓存策略研究

doi:10.19665/j.issn1001-2400.20240309

Abstract

Abstract:

Mobile edge caching technology caches videos at edge servers closer to users,thereby providing users with more convenient services.Current video caching methods rely primarily on overall video popularity,ignoring the spatial and temporal variations in video popularity.As a result,they fail to fully utilize the wide geographical distribution characteristics of edge servers,thereby impacting the effectiveness of video caching in the cloud-edge environment.In order to address this issue,we propose a wireless video cloud edge caching strategy based on popularity perception.First,based on the cloud-edge collaborative architecture,we establish a cloud-edge video caching model that takes into account the spatial and temporal variations in video popularity.This model combines video segmentation and video segment popularity,and aims to minimize the average delay for all videos requested and maximize the total cache hit rate.Second,considering the limited computational and caching resources of edge servers,we propose a caching strategy called Global Value Evaluation(GVE).This strategy quantifies the ability of a video segment to fulfill user requests as its caching value and incorporates a caching value penalty mechanism to dynamically assess the value of cached content,enabling efficient caching of video segments.Finally,simulation experiments demonstrate that the proposed strategy can significantly reduce the average transmission delay and backhaul traffic load,and improve the cache hit rate of requested videos.

Key words: mobile edge computing, video on demand, video cache, cloud-edge collaboration, video popularity

CLC Number:

TP391

TANG Hanqin, ZHAO Hui, NING Jingyou, WANG Jing, WAN Bo, WANG Quan. Popularity-aware cloud-edge collaborative caching strategy for wireless video[J].Journal of Xidian University, 2024, 51(5): 97-109.

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References 21

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参数名称	参数值
基站数量	7
基站缓存容量/GB	12.5~75,默认50
视频请求到达率λ	10
移动视频数量/个	600~1 600,默认1 000
流行度分布	0.4~1.4,默认0.8
视频长度/min	均匀分布[2,30]
片段时长/s	10
视频码率种类/(Mb·s^-1)	2(1和2)
基站转码能力类/(Mb·s^-1)	10(同时支持5个视频转码)
BS和原视频服务器的传输延迟t_s/ms	均匀分布在[100,200]
BS之间的传输延迟t_c/ms	均匀分布在[20,50]
BS和用户的传输延迟/ms	均匀分布在[5,10]
请求奖励系数	1
重复副本缓存惩罚系数	0.8
缓存空间惩罚系数	0.03
清晰度惩罚系数	0.1

Popularity-aware cloud-edge collaborative caching strategy for wireless video

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