计算机科学
边缘计算
可再生能源
分布式计算
GSM演进的增强数据速率
边缘设备
绿色计算
微电网
软件部署
互联网
云计算
计算机网络
电信
操作系统
电气工程
工程类
人工智能
控制(管理)
作者
Wei Li,Ting Yang,Flávia C. Delicato,Paulo F. Pires,Zahir Tari,Samee U. Khan,Albert Y. Zomaya
出处
期刊:IEEE Communications Magazine
[Institute of Electrical and Electronics Engineers]
日期:2018-05-01
卷期号:56 (5): 94-101
被引量:98
标识
DOI:10.1109/mcom.2018.1700888
摘要
The emergent paradigm of edge computing advocates that computational and storage resources can be extended to the edge of the network so that the impact of data transmission latency over the Internet can be effectively reduced for time-constrained Internet of Things applications. With the widespread deployment of edge computing devices, the energy demand of these devices has increased and started to become a noticeable issue for the suitable development of urban systems. In this article, we propose a unified energy management framework for enabling a sustainable edge computing paradigm with distributed renewable energy resources. This framework supports cooperation between the energy supply system and the edge computing system so that renewable energy can be fully utilized while offering improved quality of service for time-constrained IoT applications. A prototype system is also implemented by using microgrid (solar-wind hybrid energy system) and edge computing devices together. The experiment results demonstrate that renewable energy is fully capable of supporting the reliable running of edge computing devices in the prototype system during most (94.8 percent) of the experimental period when our proposed framework was employed.
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