期刊
IEEE NETWORK
卷 31, 期 5, 页码 96-105出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/MNET.2017.1700030
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资金
- Innovation-Driven Project of Central South University [2016CXS013]
- International Science & Technology Cooperation Program of China [2013DFB10070]
- China Hunan Provincial Science & Technology Program [2012GK4106]
- Natural Science Foundation Project of Fujian Province of China [2015J01271]
- Young, Middle-aged Scientific Research Project in the Department of Education of Fujian Province of China [JAT160469]
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.
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