"Fog computing" is the latest concept and technology in the field of Internet of Things in the world. This concept was formally put forward by Cisco in 2011. It must have been heard by people in the technology circles. However, according to Xiao Bian’s guess that 80% of people still have no idea what the difference is between cloud computing, fog computing, and edge computing, because there is really not much difference based on various online concepts.
Impatient, listen to Xiao Bian to give you a detailed analysis, in fact, cloud computing, edge computing and fog computing are indeed very similar, the three are the same point: are a way to deal with big data, are complementary relationship. Below, we will analyze the differences between the three:
The difference between cloud computing and edge computing <br> Cloud computing needs to transfer data to the cloud, and then processing, and edge computing does not need to upload, directly in the local (device side) to collect meaningful data in real time and processing, compared to Saying that edge computing is not only efficient but also safe.
The difference between cloud computing and fog computing <br> Cloud computing data is almost all stored in the cloud, and the fog computing data, data processing and applications are concentrated in the equipment at the edge of the network, data storage and processing rely more on the local device Instead of servers. The fog calculation emphasizes the number and supports more edge nodes. No matter how weak a single computing node's capacity is, it will play a role and it is very suitable for mobility applications.
The difference between fog calculation and edge calculation <br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> Is the edge calculation and fog calculation seem a concept? Not! Fog calculations can perform edge calculations, but in addition to the edge networks, fog calculations can also be extended to the core network, that is, the components of the edge and core networks can all serve as an infrastructure for fog computing, while edge computing focuses more on the end device.
Secondly, fog computing has a wide range of peer-to-peer interconnection capabilities between nodes. Edge computing runs its nodes in isolated islands and requires peer-to-peer traffic through the cloud.
Fog computing came into being <br> Today, the development of cloud computing technology is at a mature stage. Most of the data from IoT devices are processed in the cloud. However, by 2020, the number of IoT devices is expected to soar to 200. Billion Taiwan. In addition, the development of artificial intelligence will also bring hundreds of millions of data, and a wide range of sensors, smart terminals, etc., will generate large amounts of data every moment.
Although cloud computing has "infinite" pools of computing and storage resources, cloud data centers are often centralized and far away from terminal devices. When faced with a large number of widely distributed terminal devices and the massive data collected, cloud data centers cannot Avoid three major problems to avoid:
1. Core Network Congestion: If a large number of IoT and artificial intelligence applications are deployed in the cloud, there will be massive amounts of raw data flowing into the core network without interruption to cause congestion.
2. Network latency: Long distances between terminal devices and cloud data centers will result in higher network delays, while applications with high real-time requirements will be difficult to meet.
3. Low security: For applications that require high reliability and security, the distance from the terminal to the cloud platform is long, the communication path is long, and the cost of backup in the cloud is high, so the risk is high.
Therefore, in order to meet the needs of applications such as the Internet of Things and artificial intelligence, fog computing is based on its extensive geographical distribution, large-scale sensor networks with a large number of network nodes, support for high mobility and real-time interaction, and diversified hardware and software devices and clouds. Features such as online analysis have emerged as an extension of cloud computing.
The standard construction of fog calculation
In November 2015, ARM, Cisco, Dell, Intel, Microsoft, and Princeton University took the lead in setting up the International Fog Computing Industry, Research and Research Alliance (OpenFog Alliance) in North America, bringing together hundreds of industry leaders and academics from more than 55 companies and universities. Elite. The OpenFog reference architecture as a high-level guideline will promote the development of industry standards for fog computing.
On April 24th, 2017, the Greater China Region of the International Fog Computing Industry, Research and Research Alliance was formally announced in Shanghai. It will effectively accelerate the integration of international mainstream IoT technologies with the needs of domestic industries, and fully open up the new ecosystem of the Internet of Things industry that is in line with international standards. . On the same day, the Institute of Microsystem and Information Technology of the Chinese Academy of Sciences and Shanghai University of Science and Technology officially announced the establishment of the “Shanghai Fog Computing Laboratoryâ€, which was the first institution in the world to specialize in the research of fog computing technology, aiming to create a fog calculation with unique advantages. The research base serves Shanghai to accelerate the construction of a science and technology innovation center with global influence. The establishment of this high-level research institution also indicates that the research and industrial layout of fog computing technology in China will be carried out in parallel with international counterparts.
In November 2017, the OpenFog Alliance and the IEEE jointly announced the establishment of the IEEE P1934 working group. ZTE’s standard expert Zhou Jingyi served as vice chairman of the working group. The working group aims to build upon the reference architecture promulgated by the OpenFog Alliance, and proposes strict user, functional, and architectural requirements, as well as detailed application program interfaces (APIs) and performance standards to guide the implementation of interoperable designs and define fog calculations. The network architecture standards accelerate the promotion and commercialization of fog computing.
According to Zhang Tao, founder of the International Fog Computing Industry and Research Alliance, Cisco's global outstanding engineer, Zhang Tao: “Fog computing is the next-generation IoT technology for the future. Fog computing has unique advantages in terms of efficient response, security, scalability, and openness. The application prospects in many vertical markets, including smart agriculture, intelligent transportation, smart cities, smart medical services, etc., are promising."
Director of the Greater China Committee of the International Fog Computing Industry, Research and Research Alliance, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences and Dr. Yang Wei, Director of the Wireless Sensor Network and Communication Key Laboratory of the Chinese Academy of Sciences, said: “The global Internet of Things is entering a substantive In the new stage of large-scale development, China has become one of the most active regions in the world for the development of the Internet of Things. The continued expansion of the scale of the Internet of Things makes the importance of international advanced technologies such as fog computing increasingly prominent.
According to Helder Antunes, chairman of the International Fog Computing Industry, Research and Development Alliance and senior director of Cisco's global strategic development department, "Internet of Things interconnection, machine and machine communications, real-time computing needs, and networking equipment requirements are driving the development of the fog computing market."
Relevant coverage of fog computing technology landing
In March 2017, some media reported that a router manufacturer, newifi, has launched a smart router based on the fog computing model, which has achieved a T-level expansion of network bandwidth and a million-level layout of remote data equipment. Users only need to buy this router home, connect to more than 200G mobile hard disk, you can participate in the use of "gemstone mine" feature, experience "idle bandwidth change network fee", it sounds like a Thunder "playing cloud."
In April 2017, media reported that WULIAN, a technology-driven Internet of Things innovator, has officially launched a large-scale intelligent management solution customized by China Tailong Group, China's top-level office furniture manufacturer. This program is based on a unique concept. "Mist calculation", the first introduction of "fog computing host" to build a huge intelligent network, the network system equipment for real-time control.
In November 2017, media reported that Sichuan Yibin County Committee actively explored a new path of education and training for party members and cadres under the conditions of informatization, and was devoting itself to creating the nation’s first fog computing “e-ladder†party member cadre learning and education platform, which originated from “ The fog computing + party building ecological closed-loop education information application method can be more than 10 times more efficient than traditional learning methods. It is developed by Shenzhen Linghang Online Technology Group Co., Ltd., which has participated in the construction of informatization of multi-site party building.
At present, only the above three related reports are available on the Internet to search for the landing applications of fog calculations. However, in the end, it is the actual technology of fog computing or the conceptual marketing of the merchants, which has yet to be further verified by the market.
to sum up
On October 31, 2017, the latest report “Scale and Impact of Fog Computing Market Projectsâ€, commissioned by OpenFog Consortium commissioned 451 Research, shows that by 2022, the global fog computing market will have an opportunity of more than US$18 billion, and the forecasted fog calculation will be the largest. The market is in the order of Energy, Utilities, Transportation, Healthcare and Industry.
The overall source of fog's total revenue was hardware (51.6%), followed by fog applications (19.9%) and services (15.7%). By 2022, as fog functions are incorporated into existing hardware, expenses will shift to applications and services.
This is undoubtedly a good news for innovative start-up companies that have always focused on the research of related technologies in the areas of cloud computing, the Internet of Things, and artificial intelligence. There is a huge treasure hidden in the unexplored wilderness of fog computing.
Impatient, listen to Xiao Bian to give you a detailed analysis, in fact, cloud computing, edge computing and fog computing are indeed very similar, the three are the same point: are a way to deal with big data, are complementary relationship. Below, we will analyze the differences between the three:
The difference between cloud computing and edge computing <br> Cloud computing needs to transfer data to the cloud, and then processing, and edge computing does not need to upload, directly in the local (device side) to collect meaningful data in real time and processing, compared to Saying that edge computing is not only efficient but also safe.
The difference between cloud computing and fog computing <br> Cloud computing data is almost all stored in the cloud, and the fog computing data, data processing and applications are concentrated in the equipment at the edge of the network, data storage and processing rely more on the local device Instead of servers. The fog calculation emphasizes the number and supports more edge nodes. No matter how weak a single computing node's capacity is, it will play a role and it is very suitable for mobility applications.
The difference between fog calculation and edge calculation <br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br><br> Is the edge calculation and fog calculation seem a concept? Not! Fog calculations can perform edge calculations, but in addition to the edge networks, fog calculations can also be extended to the core network, that is, the components of the edge and core networks can all serve as an infrastructure for fog computing, while edge computing focuses more on the end device.
Secondly, fog computing has a wide range of peer-to-peer interconnection capabilities between nodes. Edge computing runs its nodes in isolated islands and requires peer-to-peer traffic through the cloud.
Fog computing came into being <br> Today, the development of cloud computing technology is at a mature stage. Most of the data from IoT devices are processed in the cloud. However, by 2020, the number of IoT devices is expected to soar to 200. Billion Taiwan. In addition, the development of artificial intelligence will also bring hundreds of millions of data, and a wide range of sensors, smart terminals, etc., will generate large amounts of data every moment.
Although cloud computing has "infinite" pools of computing and storage resources, cloud data centers are often centralized and far away from terminal devices. When faced with a large number of widely distributed terminal devices and the massive data collected, cloud data centers cannot Avoid three major problems to avoid:
1. Core Network Congestion: If a large number of IoT and artificial intelligence applications are deployed in the cloud, there will be massive amounts of raw data flowing into the core network without interruption to cause congestion.
2. Network latency: Long distances between terminal devices and cloud data centers will result in higher network delays, while applications with high real-time requirements will be difficult to meet.
3. Low security: For applications that require high reliability and security, the distance from the terminal to the cloud platform is long, the communication path is long, and the cost of backup in the cloud is high, so the risk is high.
Therefore, in order to meet the needs of applications such as the Internet of Things and artificial intelligence, fog computing is based on its extensive geographical distribution, large-scale sensor networks with a large number of network nodes, support for high mobility and real-time interaction, and diversified hardware and software devices and clouds. Features such as online analysis have emerged as an extension of cloud computing.
The standard construction of fog calculation
In November 2015, ARM, Cisco, Dell, Intel, Microsoft, and Princeton University took the lead in setting up the International Fog Computing Industry, Research and Research Alliance (OpenFog Alliance) in North America, bringing together hundreds of industry leaders and academics from more than 55 companies and universities. Elite. The OpenFog reference architecture as a high-level guideline will promote the development of industry standards for fog computing.
On April 24th, 2017, the Greater China Region of the International Fog Computing Industry, Research and Research Alliance was formally announced in Shanghai. It will effectively accelerate the integration of international mainstream IoT technologies with the needs of domestic industries, and fully open up the new ecosystem of the Internet of Things industry that is in line with international standards. . On the same day, the Institute of Microsystem and Information Technology of the Chinese Academy of Sciences and Shanghai University of Science and Technology officially announced the establishment of the “Shanghai Fog Computing Laboratoryâ€, which was the first institution in the world to specialize in the research of fog computing technology, aiming to create a fog calculation with unique advantages. The research base serves Shanghai to accelerate the construction of a science and technology innovation center with global influence. The establishment of this high-level research institution also indicates that the research and industrial layout of fog computing technology in China will be carried out in parallel with international counterparts.
In November 2017, the OpenFog Alliance and the IEEE jointly announced the establishment of the IEEE P1934 working group. ZTE’s standard expert Zhou Jingyi served as vice chairman of the working group. The working group aims to build upon the reference architecture promulgated by the OpenFog Alliance, and proposes strict user, functional, and architectural requirements, as well as detailed application program interfaces (APIs) and performance standards to guide the implementation of interoperable designs and define fog calculations. The network architecture standards accelerate the promotion and commercialization of fog computing.
According to Zhang Tao, founder of the International Fog Computing Industry and Research Alliance, Cisco's global outstanding engineer, Zhang Tao: “Fog computing is the next-generation IoT technology for the future. Fog computing has unique advantages in terms of efficient response, security, scalability, and openness. The application prospects in many vertical markets, including smart agriculture, intelligent transportation, smart cities, smart medical services, etc., are promising."
Director of the Greater China Committee of the International Fog Computing Industry, Research and Research Alliance, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences and Dr. Yang Wei, Director of the Wireless Sensor Network and Communication Key Laboratory of the Chinese Academy of Sciences, said: “The global Internet of Things is entering a substantive In the new stage of large-scale development, China has become one of the most active regions in the world for the development of the Internet of Things. The continued expansion of the scale of the Internet of Things makes the importance of international advanced technologies such as fog computing increasingly prominent.
According to Helder Antunes, chairman of the International Fog Computing Industry, Research and Development Alliance and senior director of Cisco's global strategic development department, "Internet of Things interconnection, machine and machine communications, real-time computing needs, and networking equipment requirements are driving the development of the fog computing market."
Relevant coverage of fog computing technology landing
In March 2017, some media reported that a router manufacturer, newifi, has launched a smart router based on the fog computing model, which has achieved a T-level expansion of network bandwidth and a million-level layout of remote data equipment. Users only need to buy this router home, connect to more than 200G mobile hard disk, you can participate in the use of "gemstone mine" feature, experience "idle bandwidth change network fee", it sounds like a Thunder "playing cloud."
In April 2017, media reported that WULIAN, a technology-driven Internet of Things innovator, has officially launched a large-scale intelligent management solution customized by China Tailong Group, China's top-level office furniture manufacturer. This program is based on a unique concept. "Mist calculation", the first introduction of "fog computing host" to build a huge intelligent network, the network system equipment for real-time control.
In November 2017, media reported that Sichuan Yibin County Committee actively explored a new path of education and training for party members and cadres under the conditions of informatization, and was devoting itself to creating the nation’s first fog computing “e-ladder†party member cadre learning and education platform, which originated from “ The fog computing + party building ecological closed-loop education information application method can be more than 10 times more efficient than traditional learning methods. It is developed by Shenzhen Linghang Online Technology Group Co., Ltd., which has participated in the construction of informatization of multi-site party building.
At present, only the above three related reports are available on the Internet to search for the landing applications of fog calculations. However, in the end, it is the actual technology of fog computing or the conceptual marketing of the merchants, which has yet to be further verified by the market.
to sum up
On October 31, 2017, the latest report “Scale and Impact of Fog Computing Market Projectsâ€, commissioned by OpenFog Consortium commissioned 451 Research, shows that by 2022, the global fog computing market will have an opportunity of more than US$18 billion, and the forecasted fog calculation will be the largest. The market is in the order of Energy, Utilities, Transportation, Healthcare and Industry.
The overall source of fog's total revenue was hardware (51.6%), followed by fog applications (19.9%) and services (15.7%). By 2022, as fog functions are incorporated into existing hardware, expenses will shift to applications and services.
This is undoubtedly a good news for innovative start-up companies that have always focused on the research of related technologies in the areas of cloud computing, the Internet of Things, and artificial intelligence. There is a huge treasure hidden in the unexplored wilderness of fog computing.
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