边缘计算和雾计算的区别

云计算是指通过互联网按需交付 IT 服务/资源。互联网上的按需计算服务只不过是云计算。通过使用云计算，用户可以随时随地访问服务。

如今，全球每秒钟都会产生大量数据。企业从人们那里收集和处理这些数据，并通过分析来扩展他们的业务。当许多组织同时访问数据中心远程服务器上的数据时，可能会发生数据流量。数据流量会导致数据访问延迟、带宽降低等。但仅靠云计算技术不足以存储和处理海量数据并快速响应。

例如，在特斯拉自动驾驶汽车中，传感器不断监测汽车周围的某些区域。如果它在途中检测到障碍物或行人，则必须停止汽车或四处移动而不会撞到。当障碍物在路上时，必须快速处理通过传感器发送的数据，并帮助汽车在撞到之前进行检测。检测中的一点延迟可能是一个主要问题。为了克服这些挑战，引入了边缘计算和雾计算。

边缘计算和雾计算

计算发生在设备网络的边缘，这被称为边缘计算。这意味着一台计算机与设备的网络连接，该设备处理数据并将数据实时发送到云端。该计算机被称为“边缘计算机”或“边缘节点”。

使用这项技术，数据可以立即处理并传输到设备。然而，无论数据的重要性如何，边缘节点都会传输设备捕获或生成的所有数据。

在这里引入了雾计算并成为理想的解决方案。

雾计算是云计算的延伸。它是边缘和云之间的一层。当边缘计算机向云端发送大量数据时，雾节点会接收数据并分析重要的内容。然后雾节点将重要数据传输到云端进行存储，删除不重要的数据或保留它们以供进一步分析。通过这种方式，雾计算节省了大量的云端空间，并快速传输重要数据。

S.NO.	EDGE COMPUTING	FOG COMPUTING
01.	Less scalable than fog computing.	Highly scalable when compared to edge computing.
02.	Billions of nodes are present.	Millions of nodes are present.
03.	Nodes are installed far away from the cloud.	Nodes in this computing are installed closer to the cloud(remote database where data is stored).
04.	Edge computing is a subdivision of fog computing.	Fog computing is a subdivision of cloud computing.
05.	The bandwidth requirement is very low. Because data comes from the edge nodes themselves.	The bandwidth requirement is high. Data originating from edge nodes is transferred to the cloud.
06.	Operational cost is higher.	Operational cost is comparatively lower.
07.	High privacy. Attacks on data are very low.	The probability of data attacks is higher.
08.	Edge devices are the inclusion of the IoT devices or client’s network.	Fog is an extended layer of cloud.
09.	The power consumption of nodes is low.	The power consumption of nodes filter important information from the massive amount of data collected from the device and saves it in the filter high.
10.	Edge computing helps devices to get faster results by processing the data simultaneously received from the devices.	Fog computing helps in filtering important information from the massive amount of data collected from the device and saves it in the cloud by sending the filtered data.