Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
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DOI：
10.1109/access.2019.2898734
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发表时间：
2019-01-01
期刊：
影响因子：
3.9
通讯作者：
Dianati, Mehrdad
中科院分区：
文献类型：
--
作者：
Goian, Huda S.;Al-Jarrah, Omar Y.;Dianati, Mehrdad
移动互联网和连接设备的激增提供了不同性能级别的各种服务，这是第五代及后续无线网络面临的主要挑战。需要创新的解决方案来利用机器存储/内存、上下文感知和边缘计算方面的最新进展。支持缓存的网络和边缘缓存等技术有望减少无线网络中的内容交付时间和流量拥塞。只有少数内容很受欢迎，占据了大多数观众，因此缓存它们可以减少延迟和下载时间。然而，考虑到用户行为的动态特性，将流行度预测集成到缓存中对于更好的网络利用率和用户满意度至关重要。在本文中，我们首先概述无线网络中的缓存，然后对传统缓存和基于流行度的缓存进行详细比较。我们讨论了视频的属性和缓存策略的评估标准。我们总结了最近有关主动缓存的一些工作，重点关注预测策略。最后，我们深入了解了潜在的机遇和挑战，以及一些开放的研究问题，使基于流行度的缓存能够作为下一代移动网络的一部分实现高效部署。
The proliferation of the mobile Internet and connected devices, which offer a variety of services at different levels of performance is a major challenge for the fifth generation of wireless networks and beyond. Innovative solutions are needed to leverage recent advances in machine storage/memory, context awareness, and edge computing. Cache-enabled networks and techniques such as edge caching are envisioned to reduce content delivery times and traffic congestion in wireless networks. Only a few contents are popular, accounting for the majority of viewers, so caching them reduces the latency and download time. However, given the dynamic nature of user behavior, the integration of popularity prediction into caching is of paramount importance to better network utilization and user satisfaction. In this paper, we first present an overview of caching in wireless networks and then provide a detailed comparison of traditional and popularity-based caching. We discuss the attributes of videos and the evaluation criteria of caching policies. We summarize some of the recent work on proactive caching, focusing on prediction strategies. Finally, we provide insight into the potential opportunities and challenges as well as some open research problems enable the realization of efficient deployment of popularity-based caching as part of the next-generation mobile networks.