
泛在网络空间大数据“雾云计算”软件体系结构
贾焰, 方滨兴, 汪祥, 王永恒, 安静斌, 李爱平, 周斌
中国工程科学 ›› 2019, Vol. 21 ›› Issue (6) : 114-119.
泛在网络空间大数据“雾云计算”软件体系结构
Software Architecture of Fogcloud Computing for Big Data in Ubiquitous Cyberspace
随着网络空间从传统互联网向人、机、物、服务与应用互联的泛在网络空间扩展,计算模式从“以云端集中计算为中心”向“前端、中间层和云端相结合”的方式转变,传统的云计算、边缘计算等计算模式难以满足泛在网络空间大数据计算需求。本文针对泛在网络空间大数据计算面临的问题,在知识体基础上,提出了一种泛在网络空间大数据“雾云计算”软件体系结构,在多知识体协同计算语言与模型基础上,实现雾端、中间层和云端多知识体的协同计算,为泛在网络空间大数据计算提供解决方案。
The cyberspace has expanded from traditional internet to ubiquitous cyberspace which interconnects human, machines,things, services, and applications. The computing paradigm is also shifting from centralized computing in the cloud to combined computing in the front end, middle layer, and cloud. Therefore, traditional computing paradigms such as cloud computing and edge computing can no longer satisfy the evolving computing needs of big data in ubiquitous cyberspace. This paper presents a computing architecture named Fogcloud Computing for big data in ubiquitous cyberspace. Collaborative computing by multiple knowledge actors in the fog, middle layer, and cloud is realized based on the collaborative computing language and models, thereby providing a solution for big data computing in ubiquitous cyberspace.
雾云计算 / 泛在网络空间 / 大数据 / 物联网 / 云计算
fogcloud computing / ubiquitous cyberspace / big data / Internet of Things / cloud computing
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