摘要
传统的物联网架构通常将数据从物联网设备发送到云端进行处理和分析,但随着设备数量的增加和对实时性要求的提高,云端计算面临着一些挑战,如延迟高、带宽消耗大等问题。边缘计算弥补了这些缺陷,它将计算资源放置在物联网设备附近,使数据可以在本地进行处理和分析,减少了与云端通信的需要。基于此,文中针对边缘计算与物联网的融合发展进行了研究,希望能为各行各业提供高效、可靠的解决方案。
Traditional Internet of Things(IoT)architectures often involve sending data from IoT devices to the cloud for processing and analysis.However,with the increasing number of devices and the demand for real-time capabilities,cloud computing faces challenges such as high latency and large bandwidth consumption.Edge computing addresses these short-comings by placing computational resources near IoT devices,enabling data to be processed and analyzed locally,reducing the need for communication with the cloud.Based on this,this paper focuses on the integration and development of edge computing and IoT,aiming to provide more efficient,reliable,and intelligent solutions for various industries.
作者
石乐
SHI Le(Jinan Vocational College,Jinan 250103,China)
出处
《移动信息》
2024年第2期178-180,共3页
MOBILE INFORMATION
关键词
边缘计算
物联网
融合发展
Edge computing
Internet of Things
Convergent development