A Survey of Key Issues in Edge Intelligent Computing Under Cloud-Edge-Terminal Architecture: Computing Optimization and Computing Offloading
With the rapid increase in the number of network access devices and the volume of network access data currently, the shortcomings of the centralized computing architecture represented by cloud computing are increasingly exposed. Edge computing, that is making computing as close to the data source as possible to reduce data transmission time and network delay, has become the focus of academia and industry as a supplement to cloud computing. An instance architecture widely used in edge computing: Cloud-Edge-Terminal architecture, and a typical application of edge computing: edge intelligent computing is focused on in this paper. Two key issues of edge intelligent computing under Cloud-Edge-Terminal architecture: computing optimization and computing offloading is analyzed. First, the research focus of edge intelligent computing is analyzed, and the application and research status of intelligent computing optimization under Cloud-Edge-Terminal architecture is combed. Then the research ideas and current situation of computing offloading under Cloud-Edge-Terminal architecture is discussed. Finally, the challenges and research trends of edge intelligent computing under Cloud-Edge-Terminal architecture is summarized.
万方数据
维普
