A Socio-Temporal Cache Prefetching Policy for the Multi-access Edge Computing Architecture

2022 IEEE Latin-American Conference on Communications (LATINCOM) Pub Date : 2022-11-30 DOI:10.1109/LATINCOM56090.2022.10000591

Cleomar Márcio Marques de Oliveira, I. Moraes, C. Albuquerque, José Jerônimo de Menezes Lima

引用次数: 0

Abstract

In this paper, we propose a cache prefetching policy for the Multi-access Edge Computing architecture (MEC) that considers the temporal and social behaviors of mobile users. The key point of our policy is to prefetch new contents based on the popularity of their categories and not on the popularity of each content individually. Our goal is to increase the Quality of Experience (QoE) of mobile users by increasing the cache hit ratio. Simulation results show that HASSAN provides a hit ratio up to 65% for a cache size of 16 MB.

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一种面向多访问边缘计算架构的社会时序缓存预取策略

在本文中，我们提出了一种考虑移动用户的时间和社会行为的多访问边缘计算架构(MEC)的缓存预取策略。我们策略的重点是根据类别的受欢迎程度预取新内容，而不是根据每个内容单独的受欢迎程度。我们的目标是通过提高缓存命中率来提高移动用户的体验质量(QoE)。仿真结果表明，当缓存大小为16 MB时，HASSAN提供了高达65%的命中率。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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2022 IEEE Latin-American Conference on Communications (LATINCOM)

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