Internet of Things, cloud computing, big data, and artificial intelligence are hot topics in the technology and industry in the past two years. What do they mean? What is the relationship between them? The author is also very interested. After learning and understanding, and consulting materials, I would like to share with you some simple understanding and summary. Let's follow the network communication editor to learn about the relevant content.
IoT (Internet of things)
The Internet of Things is an application extension of the Internet. Rather than saying that the Internet of Things is a network, it is better to say that the Internet of Things is a business and application. Therefore, application innovation is the core of the development of the Internet of Things, and innovation centered on user experience is the soul of the development of the Internet of Things.
Taking the following figure as an example, the Internet of Things is roughly divided into the following layers: perception layer, network layer, and application layer.
A brief analysis of the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence
The sensing layer is equivalent to human sense organs and nerve endings, which are used to sense and collect various data in the application environment. It includes various sensors such as temperature, humidity, speed, position, vibration, pressure, flow, gas, etc. High sensitivity and accuracy, low power consumption, and wireless transmission are the requirements for the sensing layer.
The network layer is equivalent to the human nervous system and is used to transmit data. It includes a variety of wireless communication technologies and standards, such as Zigbee/BLE/Wifi/NFC/RFID/LTE, etc. Low power consumption, wide area coverage, and more connections are the development direction of wireless networks. At present, new communication technologies and standards NB-IoT, LoRa, and eLTE-IoT are all working in this direction. In the future, 5G will replace many current wireless communication technologies and unify the industry.
A brief analysis of the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence
The application layer is equivalent to the instructions and reactions of the human brain, and reversely controls the output through instructions, such as equipment management, environmental monitoring, industrial control, etc.
Cloud Computing
Cloud computing is equivalent to the human brain and is the nerve center of the Internet of Things. Cloud computing is a model for the increase, use and delivery of Internet-related services, usually involving the provision of dynamic, scalable and often virtualized resources through the Internet.
Currently, many IoT servers are deployed in the cloud, providing various application layer services through cloud computing. Cloud computing can be considered to include the following levels of services: Infrastructure as a Service (IaaS), Platform as a Service (PaaS) and Software as a Service (SaaS).
A brief analysis of the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence
Cloud computing IaaS: Infrastructure as a Service
IaaS (Infrastructure-as-a-Service): Infrastructure as a Service. Consumers can obtain services from a complete computer infrastructure through the Internet. For example: hardware server rental.
Cloud computing PaaS: Platform as a Service
PaaS (Platform-as-a-Service): Platform as a Service. PaaS actually refers to the platform for software development as a service, which is provided to users in the SaaS model. Therefore, PaaS is also an application of the SaaS model. However, the emergence of PaaS can accelerate the development of SaaS, especially the development speed of SaaS applications. For example: personalized customized development of software.
Cloud computing SaaS: Software as a Service
SaaS (Software-as-a-Service): Software as a Service. It is a model of providing software through the Internet. Users do not need to purchase software, but rent Web-based software from providers to manage business operations.
Amazon was the first company to realize the value of services. It brought the infrastructure, platforms, and technologies that served the company internally to the market after they matured, providing various services to society, and thus became the leader in the global cloud computing market.
Big Data
Big data is equivalent to the massive amount of knowledge that the human brain memorizes and stores from elementary school to university. This knowledge can only create greater value through digestion, absorption, and reconstruction.
The definition given by McKinsey Global Institute is: a data set that is so large that it greatly exceeds the capabilities of traditional database software tools in terms of acquisition, storage, management, and analysis, and has four major characteristics: massive data scale, fast data flow, diverse data types, and low value density. The strategic significance of big data technology lies not in mastering huge amounts of data information, but in professional processing of these meaningful data. In other words, if big data is compared to an industry, then the key to achieving profitability in this industry lies in improving the "processing capabilities" of data and achieving "value-added" of data through "processing".
A brief analysis of the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence
From a technical point of view, the relationship between big data and cloud computing is as inseparable as the front and back of a coin. Big data cannot be processed by a single computer and must adopt a distributed architecture. Its feature is distributed data mining of massive data. But it must rely on cloud computing's distributed processing, distributed database and cloud storage, and virtualization technology.
Artificial Intelligence (AI)
Artificial intelligence can be compared to a person who absorbs a large amount of human knowledge (data), continuously learns deeply, and evolves to become an expert. Artificial intelligence cannot be separated from big data, and it is based on cloud computing platforms to complete deep learning evolution.
Artificial Intelligence (AI) is a new technical science that studies and develops theories, methods, technologies and application systems for simulating, extending and expanding human intelligence. Artificial Intelligence is a branch of computer science that attempts to understand the essence of intelligence and produce a new intelligent machine that can respond in a similar way to human intelligence. Research in this field includes robotics, speech recognition, image recognition, natural language processing and expert systems.
A brief analysis of the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence
In short, the Internet of Things generates and collects massive amounts of data, which is then stored on cloud platforms. Big data analysis and even higher forms of artificial intelligence provide better services for human production activities and life needs. This will definitely be the direction of the evolution of the Fourth Industrial Revolution.
The above is a detailed introduction by the editor of eeworld electronic engineering network network communication on the relationship between the Internet of Things, cloud computing, big data, and artificial intelligence. I hope that through the editor’s explanation, it can bring new insights to everyone. Pay attention to eeworld and electronic engineering, and you will be introduced to more relevant knowledge about semiconductors.
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