With the development of the Internet of Things, words such as "fog calculation" and "edge calculation" are often heard.
The term fog calculation is relatively a recent word. Because it is closer to the device than the cloud, it is expressed as fog. It is promoted as a structure for implementing IoT for Cisco and is intended to be adopted globally. On the other hand, the term edge calculation has long been used to denote the boundaries of clouds and devices.
Why do you often hear these two words now? This has a lot to do with the boundaries of "cloud computing."
In the cloud, cloud computing can be a great solution if it can be connected to a server that can be sent to the terminal device after data processing.
However, for example, IoT devices require reliability to ensure that tasks can be performed in the event of a service failure, and local processing and storage capabilities will become increasingly important in the future. Here is the fog/edge calculation. These two word industries are always used together, but there are some important differences. (Of course, the perspective is different.)
To illustrate how these methods differ, consider a smart vacuum cleaner as an example. In this case, the vacuum cleaner is assigned a task, and it is cleaned up immediately after it finds the garbage, and the sensor is detected at the moment when the sensor is detected at home.
Fog calculationFog CompuTIng, in which data, (data) processing, and applications are concentrated in devices at the edge of the network, rather than being stored almost entirely in the cloud, is an extension of cloud computing (Cloud CompuTIng), Cisco (Cisco) proposed. This name for "cloud" and "fog" comes from the phrase "fog is a cloud closer to the ground."
Fog calculations are as vivid as cloud computing. The clouds float in the sky, high above, out of reach, deliberately abstract; and fog is realistic, close to the ground, right next to you and me. Fog calculations are not made up of powerful servers, but are composed of functional computers with weaker performance and more dispersion. They are infiltrated into factories, automobiles, electrical appliances, street lamps and various materials in people's material life.
Edge calculationEdge computing refers to an open platform that integrates network, computing, storage, and application core capabilities on the side close to the source or data source, providing near-end services. Its applications are launched on the edge side, resulting in faster network service response, meeting the industry's basic needs for real-time business, application intelligence, security and privacy protection. Edge computing is between physical entities and industrial connections, or at the top of physical entities. In the cloud computing, historical data of edge calculations can still be accessed.
Edge computing is not a new word. As a provider of content distribution network CDN and cloud services, AKAMAI worked with IBM on "Edge Computing" in 2003. As one of the world's largest distributed computing service providers, it was responsible for 15-30% of global network traffic. In one of its internal research projects, the purpose and problem of "edge computing" was proposed, and AKAMAI and IBM provided Edge Edge-based services on their WebSphere.
First, let's talk about "fog calculation", and the processing power is placed in the LAN including the IoT device. The IoT gateways in this network, or fog nodes, are used for data collection, processing, and storage. Information from multiple sources is collected into the gateway, and the processed data is sent back to the device that needs the data.
The fog calculation is characterized by the fact that a single device with strong processing capability receives information from multiple endpoints, and the processed information is sent back to where it is needed. The latency is shorter than cloud computing.
Compared to edge calculations, fog calculations are more scalable. A device with centralized processing, the network envisioned is a large network that sends data from multiple endpoints.
Fog calculations do not require precise division of processing power. Some limited processing can also be performed depending on the capabilities of the device, but more complex processing implementations require active connections.
Taking the vacuum cleaner as an example, the centralized fog node (or IoT gateway) continues to collect information from the sensors in the home, and when the garbage is detected, the vacuum cleaner is activated.
The edge calculation further advances the concept of "processing power in the LAN" of fog calculation, and the processing power is closer to the data source. Instead of performing the processing in the central server, the processing is performed on each device in the network.
In this way, the handling of the communication and communication is made possible by connecting the sensor to a programmable automatic controller (PAC).
Compared with the fog calculation, the single fault point is less according to its nature. The respective devices operate independently, and can determine what data is stored locally and what data is sent to the cloud.
Taking the vacuum cleaner as an example, the sensors in the edge calculation solution determine whether there is garbage or not to send a signal to start the vacuum cleaner.
Although the two solutions bring something similar, the methods of data collection, processing, and communication are indeed different. They all have their own strengths and weaknesses, and in some cases, they may or may not be suitable. IoT is becoming more and more extensive in our lives, and there will be more opportunities for contact in the future. Sensors that only record data are already in the air.
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