(Original title: From a neurological perspective, the relationship between edge calculations, fog calculations, and the internet cloud and brain)

This article comes from: Artificial Intelligence

Author: Liu Feng, Ph.D. computers, the Internet evolution author

In the past 20 years, a large number of new technologies, new concepts, and new theories have emerged in the field of science and technology, representing the development of cutting-edge technology with the arrows of the Internet, artificial intelligence, and brain science. These terms include "Internet of things, cloud computing, big data , Artificial Intelligence (Deep Learning), Industry 4.0, Industrial Internet, Drone, Smart Driving, Virtual Reality, 3D Printing, etc. What is the relationship between them? We have used the Internet cloud brain (brain) architecture to analyze. As shown below:


First, the edge calculation, the introduction of fog computing background and concept

At present, most of the mobile Internet, Internet of Things, and artificial intelligence systems are operating in the Internet data center, that is, running on the “cloud”. However, with the development of technology, people have discovered that a huge opportunity is emerging from the edge of the data center network. Embedded artificial intelligence is receiving more and more attention.

The Internet of Things has a large number of terminal devices. In the future, if the data captured by these network nodes needs to be uploaded to the cloud for intelligent processing or deep learning, the network bandwidth will pose a huge challenge. Another challenge is power consumption. The equipment side uses a large number of battery-powered devices, such as smart mobile devices, new energy vehicles, and so on, which impose higher and higher requirements on device power consumption. (Wang Junfeng)

Since 2015, embedded artificial intelligence technology featuring edge computing and fog computing has begun to receive attention. Their role can optimize resources and improve efficiency.

The concept of edge computing has been prevalent in industrial IoT applications, manufacturing, retail, ATM machines, smart phones, and virtual/mixed reality. The core of this concept is to complete a part of the calculation and analysis at the network endpoint or near the network endpoint when processing the task without sending all the data back to the cloud. Algorithms and models can be built in the cloud and then pushed to edge devices.

Fog Computing (Fog Computing) refers to data, data processing, and applications that are concentrated in devices at the edge of the network, rather than being stored almost entirely in the cloud, and is an extended concept of cloud computing. Cisco) first. It was proposed in 2011 and was defined in detail in 2012.

Second, edge calculation and fog calculation are the buds of the development of nerve endings on the Internet cloud.

What is the essence of edge computing and fog computing, as a new technology concept that has caught the attention of industry, universities and research institutes in recent years? What is the relationship with the Internet of Things, Cloud Computing, Big Data, Artificial Intelligence, Industrial Internet, Industry 4.0, Mobile Internet? Can you mark up the Internet cloud architecture?

The crossover study between the Internet and brain sciences that we began in 2005 puts forward: "The Internet will evolve from a split, immature organizational structure toward a highly similar direction to the human brain. It will have its own visual, auditory, tactile, motor nerves. The system will also have its own memory nervous system, central nervous system, and autonomic nervous system.” When the evolutionary stage of the Internet evolved, the resulting structure diagram is shown above.

For the two new technological concepts of edge computing and fog computing, if from a neurological point of view, they correspond to which part of the brain's neurological architecture? Let us first look at the peripheral nerve related conditions and diagrams:

Nerve endings are the terminal parts of neuron nerve fibers and are distributed in various organs and tissues. According to its different functions, it is divided into sensory nerve endings and motor nerve endings.

Sensory nerve endings are the specific structures formed by the terminal parts of the peripheral processes of the sensory (incoming) neurons and other tissue structures, called receptors. It can sense all kinds of stimuli inside and outside the human body, and it transforms into nerve impulses and spreads to the center. Sensory nerve endings can be divided into free nerve endings and coated sensory nerve endings according to their structure.

The motor nerve endings are the nerve fibers of the motor neurons that terminate in skeletal muscles, myocardium, smooth muscle, and glands, forming effectors that control muscle contraction or glandular secretion.

Third, edge computing and fog computing position in the Internet cloud and brain

From the above edge calculations and knowledge of fog calculations and nerve endings, it can be seen that edge calculations and fog calculations can be seen as the result of the continuous development of the Internet's nerve endings during the development of the internet cloud brain (brain). Or edge computing and fog computing are synonymous with the nerve endings of the Internet.

The edge sensors and fog calculations represent the smart sensors and effectors at the edge of the network for preliminary and simple data and information processing. They did not appear to replace the central nervous system (cloud computing) of the Internet, but instead backed up each other with cloud computing, relying on each other to increase the robustness of the entire Internet cloud (brain).

With good network conditions, the cloud can reduce local computing tasks, and can also complete information storage capabilities and data sharing in real time. When the amount of network lines and cloud computing is limited, edge computing and fog computing can perform independent information processing. However, after the line is finally connected, edge computing and fog computing still need to transmit related information to the cloud (Internet central nervous system) to achieve Information sharing and interaction between different edge devices.

In summary, we put the edge calculation and fog calculation standards on the Internet cloud and brain architecture diagram. As shown below:

燑br>

PM Stepper Motor

Permanent magnet stepper motors use a permanent magnet (PM) in the rotor and operate on the attraction or repulsion between the rotor PM and the stator electromagnets.
MAINTEX's PM stepper motors are widely applied in many innovative applications, including: computer equipment, photographic systems, optoelectronic devices, valve control, ATM equipment, CNC machine, automatic winding machines, electronic clocks and medical equipment, etc.

Permanent magnet stepper motor,Pm stepper motor,Permanent magnet type stepper motor

Shenzhen Maintex Intelligent Control Co., Ltd. , https://www.maintexmotor.com