Purging-Aware Content Placement in Fog-Based Content Delivery Networks

Sepideh Malektaji, Somayeh Kianpisheh, R. Glitho
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引用次数: 1

Abstract

Fog-based Content Delivery Network can cache contents in fog-enabled devices like set-top boxes. This enhanced proximity helps to reduce latency. Efficient content placement is required for the efficient usage of cache resources, both in the cloud and in the fog. The content purging that may occur due to storage scarcity at the edge sides must be considered in an efficient content placement strategy. In this paper, we model the content placement problem in a hierarchical fog-based CDN as an optimization problem that minimizes the overall content access latency. Factors such as content purging, content popularity, and end-user priority have been taken into account. We propose a genetic-based algorithm to solve this problem. Simulation results show the proposed algorithm has a lower latency in comparison with the greedy approach.
基于雾的内容交付网络中的清除感知内容放置
基于雾的内容交付网络可以在支持雾的设备(如机顶盒)中缓存内容。这种增强的接近性有助于减少延迟。无论是在云中还是在雾中,都需要有效的内容放置来有效地使用缓存资源。在有效的内容放置策略中,必须考虑由于边缘存储稀缺而可能发生的内容清除。在本文中,我们将基于分层雾的CDN中的内容放置问题建模为最小化整体内容访问延迟的优化问题。内容清除、内容受欢迎程度和最终用户优先级等因素都被考虑在内。我们提出了一种基于遗传的算法来解决这个问题。仿真结果表明,与贪心算法相比,该算法具有较低的延迟。
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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