科研成果详情

首先,系统地分析和总结了雾计算的研究现状,重点介绍了雾计算出现的背景及其相对于云计算的优势,对雾计算及其他相似的计算模式进行比较,指出了雾计算相比于传统计算模式的优点。然后,总结了雾计算的体系结构与各层功能。同时,对于雾计算在网络管理和资源调度这2个方面的研究问题展开讨论,总结了前人提出的解决方法并指出了现有方法的不足。最后,对于雾计算的一些相关应用进行了阐述,并以智能驾驶、工业物联网这2个示范应用为例指出了当前雾计算在实际应用上仍需攻关的重要课题。 

Firstly, the previous work of fog computing was systematically analyzed and summarized. The background of fog computing and the comparison with cloud computing were introduced. Besides, based on the comparison with other computing style, the advantages and characteristics of fog computing were explained. In addition, the architecture of fog computing was described. Moreover, network management and resource scheduling of fog computing were discussed, where the related previous work were summarized and analyzed. At last, the applications of fog computing were described. Taking the intelligent driving and industrial Internet of things applications as examples, the key research issues of fog computing were proposed. © 2018, Editorial Board of Journal on Communications. All right reserved.