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Prefetching and caching schemes for IoT data in hierarchical edge computing architecture

机译:分层边缘计算架构中的IoT数据预取和缓存方案

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摘要

With the growing number of the internet of things (IoTs) devices and mobile devices, the data traffic produced by these devices causes high network load, and these devices endure long access latencies to communicate with the cloud. The emergence of edge computing, caching and prefetching at the edge of the networks are promising solutions to these problems. Therefore, we propose caching and prefetching schemes for the internet of things data based on a four-tier hierarchical edge computing architecture, and our goal is to reduce data access latency. In our architecture, caches are deployed at 1st- and 2nd-tier edge nodes and the caching scheme is designed especially for the IoTs data. We analyse the relations of all users' access requests and prefetch popular data among all users to the cache based on the predictions of user preferences. The experimental results show that the proposed schemes can effectively reduce user access latencies.
机译:随着物联网(IoT)设备和移动设备的数量不断增加,这些设备产生的数据流量会导致较高的网络负载,并且这些设备会承受与云进行通信的长时间访问等待时间。边缘计算,缓存和预取出现在网络边缘是解决这些问题的有希望的解决方案。因此,我们提出了一种基于四层分层边缘计算架构的物联网数据缓存和预取方案,我们的目标是减少数据访问延迟。在我们的体系结构中,缓存部署在第一层和第二层边缘节点,并且缓存方案是专门为IoT数据设计的。我们分析所有用户的访问请求的关系,并根据用户偏好的预测将所有用户之间的流行数据预取到缓存。实验结果表明,所提方案可以有效降低用户访问延迟。

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