A Survey on Mainstream Dimensions of Edge Computing
A Survey on Mainstream Dimensions of Edge Computing
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DOI：
10.1145/3471287.3471295
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发表时间：
2021-05
期刊：
影响因子：
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通讯作者：
Yuanda Wang;Haibo Wang;Shigang Chen;Ye Xia-
中科院分区：
文献类型：
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作者：
Yuanda Wang;Haibo Wang;Shigang Chen;Ye Xia-
在物联网和4G/5G通信蓬勃发展的推动下，越来越多的传感器、手机等边缘设备不断产生数据业务请求，需要对这些请求进行高质量处理。近年来，人们看到了从集中式云计算向边缘计算的范式转变。边缘计算是一种利用边缘设备的计算和存储资源的分布式计算范式。与传统云计算相比，边缘计算将数据计算和存储迁移到边缘设备上。近年来，在边缘计算方面取得了许多技术突破。本文回顾了现有的边缘计算研究，重点关注三个主流维度：资源分配、数据融合和安全。我们介绍了三维的具体技术，以及它们如何有助于改进边缘计算。还讨论了将受益于边缘计算的新兴和潜在应用领域。
Driven by the booming of Internet of Things and 4G/5G communications, an increasingly large number of edge devices, e.g., sensors and cell phones, are continuously producing data service requests, which should be processed in high quality. Recent years have seen a paradigm shift from centralized cloud computing toward edge computing. Edge computing is a distributed computing paradigm that utilizes computing and storage resources of edge devices. Compared with traditional cloud computing, edge computing migrates data computation and storage to the edge devices. Recently many technical breakthroughs have been made in edge computing. This survey reviews existing research on edge computing with a focus on the three mainstream dimensions: resource allocation, data fusion and security. We present specific techniques of the three dimensions and how they can contribute to the improvement of edge computing. Emerging and prospective application fields that would benefit from edge computing are also discussed.