Mobile Edge Data Cooperative Cache Admission Based on Content Popularity

被引：4
|
作者：
Fang, Juan [1 ]
Chen, Siqi [1 ]
Cai, Min [1 ]
机构：
[1] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
来源：
2021 IEEE INTERNATIONAL CONFERENCE ON EDGE COMPUTING (EDGE 2021) | 2021年
基金：
中国国家自然科学基金; 北京市自然科学基金;
关键词：
Edge Caching; Content Popularity; Cache Admission; Edge Collaboration; Video Features; Video Content Delivery;
D O I：
10.1109/EDGE53862.2021.00024
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
Edge computing provides more rapid and convenient services to the user by deploying computing resources and storage resources on network edges closer to the user. However, the edge server has small storage capacity, irregular user requests and real-time changes in user preferences. To address these problems, this paper presents a Mobile Edge Data Cooperative Cache Admission Based on Content Popularity (DCCCP) based on the perspective of the content provider. First, we analyze and learn the key feature properties of video objects to build the tree data structure and dynamically adjust the tree structure according to the state of the leaf nodes. Next, the multiarm bandit model is considered for the tree structure characteristics and the number of samples. In addition, considering the limited edge server capacity and the large cloud-edge transmission latency, edge collaboration is used for data cache. Finally, we experiment the DCCCP algorithm with four excellent algorithms in terms of hit rate, latency and system cost, and demonstrate the effectiveness of the DCCCP algorithm.
引用
收藏
页码：111 / 118
页数：8
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