After cloud computing, fog computing began

Wu Ren believes that, in this sense, the so-called "fog computing" (fog computing) is a more appropriate expression, meaning that computing is completed by devices around him. He stressed that clouds and fog complement each other and clouds are omnipotent, while fog is everywhere. Information exchange between the two is not raw data but intelligent. Putting any data into the cloud for processing requires a lot of bandwidth and storage support and a very small latency. In many cases, it is not the best choice, or even impossible at all.

 

 

Fog computing is an extension of cloud computing. It was first created by Cisco. The name of "fog" due to "cloud" comes from the phrase "fog is a cloud closer to the ground.

Like cloud computing, fog computing is very impressive. Clouds float in the sky, high above, out of reach, deliberately abstract; while fog is realistic and close to the ground, just beside you and me. Fog computing is not composed of powerful servers, but is composed of weak and scattered functional computers that penetrate into factories, automobiles, electrical appliances, street lights, and various products in people's material life.

Compared with cloud computing, the architecture adopted by fog computing is more distributed and closer to the network edge. Fog computing places data, data processing, and application sets on devices on the edge of the network, rather than storing almost all of them in the cloud as cloud computing does. Data storage and processing depend on local devices rather than servers. Therefore, cloud computing is a new generation of centralized computing, while fog computing is a new generation of distributed computing, in line with the "decentralization" feature of the Internet.

Unlike cloud computing, fog computing requires users to connect to a remote large data center to access services. In addition to the differences in architecture, the applications that cloud computing can provide are basically provided by fog computing, but the computing platform used by fog computing may not be as effective as a large data center.

Cloud computing bears high hopes in the industry. It is widely believed that computing functions will be fully deployed on the cloud in the future. However, importing and exporting data from the cloud is actually more complex and difficult than people think. As there are more and more access devices (especially mobile devices), bandwidth is too low to transmit data and obtain information. With the rapid development of the Internet of Things and mobile Internet, people are increasingly dependent on cloud computing, more and more devices are connected, and devices are increasingly intelligent. mobile applications have become the main way for people to process transactions on the Internet, the increasing data volume and number of data nodes will not only occupy a large amount of network bandwidth, but also increase the burden on the data center. Data Transmission and information acquisition will get worse and worse.

Therefore, combined with distributed fog computing, smart routers and other devices and technical means can form data transmission bands between different devices, effectively reducing network traffic and reducing the computing load of data centers. Fog computing can be used as a computing process between M2M (machine-to-machine interaction) networks and cloud computing to deal with the large amount of data produced by M2M networks-preprocessing the data using the processing program, in order to enhance its use value.

Fog computing not only solves the problem of automation of networked devices, but also has less requirements on data transmission volumes. Fog computing, a technology that promotes the internal operation of cloud data centers, is expected to improve local storage and computing capabilities and eliminate bottlenecks in data storage and data transmission.

Source: http://news.xinhuanet.com/tech/2014-06/23/c_126657116.htmBaidu lianfa intends to push "super mobile phone": "That is, translation"Source: http://www.cnbeta.com/articles/313895.htm