Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing
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 mitiga...
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| Veröffentlicht in: | IEEE network 2017-01, Vol.31 (5), p.96-105 |
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| creator | Ren, Ju Guo, Hui Xu, Chugui Zhang, Yaoxue |
| description | 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. |
| doi_str_mv | 10.1109/MNET.2017.1700030 |
| format | Article |
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| source | IEEE Electronic Library (IEL) |
| subjects | Cloud computing Computer architecture Data processing Edge computing Internet of Things Lightweight Provisioning Servers Standardization Traffic information Weight reduction |
| title | Serving at the Edge: A Scalable IoT Architecture Based on Transparent Computing |
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