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Edge computing accelerates Internet of Things
边缘计算: 让万物互联时代加速到来

There are two driving forces to enter the new era: one is the intelligent cloud, the other is the intelligent edge computing.——Microsoft
进入新时代的推动力有两个:一个是智能云,一个是智能边缘计算。——微软

Edge computing is a method of processing data where the data is generated. Because people who create these data are usually not in the cloud, we need to supplement the cloud computing through many forms of computing at the edge of the IoT solution architecture.
边缘计算是一种在物理上靠近数据生成的位置处理数据的方法,即事物和人所在的现场区域如家庭和远程办公室内。由于这些产生数据的事物和人通常不在云端,因此我们需要通过许多形式的在物联网(IoT)解决方案架构的边缘处的计算来补充云计算。

In the architecture of edge computing, all data can be processed and analyzed in the collection device field. It not only reduces the pressure of the back end, but also reduces the cost of transmission. Through the new architecture, not only users can enjoy real-time computing and analyzing the data, but also it reduce the dependence on cloud or server, which can also help users truly achieve more personalized mobile application promotion.
在边缘计算的架构中,一切数据都可以在采集设备现场或者附件得到处理与分析,不再依赖后端的云或者数据中心,不仅降低后端的压力,也减少了传输的成本。通过新的架构,用户不仅能获得实时计算并分析数据的享受,也能减少对云或服务器的依赖,这也能帮助用户真正实现更多个性化的移动应用的推广。

It is affirmatively that edge computing will prevent the connection and management of the mass terminal of IoT, and the new architecture will change people's awareness of the interconnection of all things. It is predicted that by 2020, there will be 30 billion terminals / devices connected to the Internet. Half of the data will be analyzed, processed and stored at the edge of the network.
可以肯定地认为,边缘计算解禁物联网海量终端的连接和管理,新的架构将改变人们对于万物互联的认知。据预测到2020年,全球将有300亿终端/设备连接到互联网,其中,一半的数据将会在网络的边缘被分析,处理和存储。其主要的价值在于海量的连接和自动化网络运维管理、实时的连接和服务、统一的数据语义和建模、边缘智能化和服务的创新、设备、网络、数据、应用的安全和隐私的保护


Relevant Topics 相关议题
Edge Computing Promotes Digital Transformation and Equipment Efficiency
边缘计算推进数字化转型,提升设备效率
     - Technology structure: platform, infrastructure and integrated system
     - Edge computing and digitalization
Microsoft 微软

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