Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing
Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing
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DOI：
10.1109/mnet.2017.1700030
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发表时间：
2017-09-01
期刊：
影响因子：
9.3
通讯作者：
Zhang, Yaoxue
中科院分区：
文献类型：
--
作者：
Ren, Ju;Guo, Hui;Zhang, Yaoxue
通过将服务提供从云移动到边缘，边缘计算成为物联网时代的一个有前途的解决方案，以满足物联网应用的延迟要求，增强轻量级物联网设备的可扩展性和能源效率，提供上下文信息处理，并减轻骨干网络的流量负担。然而，作为一个新兴的研究领域，边缘计算仍处于起步阶段，在实现和标准化方面面临着许多挑战。在本文中，我们研究了边缘计算的实现，它利用透明计算来构建可扩展的物联网平台。具体来说，我们首先提出了一个基于透明计算的物联网架构，并清楚地确定了其优势和相关的挑战。然后，我们提出了一个案例研究，清楚地表明如何建立可扩展的轻量级可穿戴设备与建议的架构。最后指出了一些未来的方向，以促进继续研究的努力。
By moving service provisioning from the cloud to the edge, edge computing becomes a promising solution in the era of IoT to meet the delay requirements of IoT applications, enhance the scalability and energy efficiency of lightweight IoT devices, provide contextual information processing, and mitigate the traffic burdens of the backbone network. However, as an emerging field of study, edge computing is still in its infancy and faces many challenges in its implementation and standardization. In this article, we study an implementation of edge computing, which exploits transparent computing to build scalable IoT platforms. Specifically, we first propose a transparent computing based IoT architecture, and clearly identify its advantages and associated challenges. Then, we present a case study to clearly show how to build scalable lightweight wearables with the proposed architecture. Some future directions are finally pointed out to foster continued research efforts.