The difference and connection between cloud computing, big data, and the Internet of Things

1.The Internet of Things is the sensory nervous system of the Internet brain.

Because the Internet of Things focuses on the concept of sensor perception, it also has functions such as network line transmission, information storage and processing, and industry application interfaces. Moreover, it often shares servers, network lines and application interfaces with the Internet, making it possible to communicate between people (human ti human (h2h), people and things (h2t), and things to thing (t2t), which will eventually integrate human society, information space and the physical world (human and machine things).

2.Cloud computing is the central nervous system of the Internet brain.

In the architecture of the Internet virtual brain, the central nervous system of the Internet virtual brain is to unify the core hardware layer, core software layer and Internet information layer of the Internet to provide support and services for the virtual nervous system of the Internet. Ideally, the sensors of the Internet of Things and the users of the Internet interact with cloud computing through network lines and computer terminals, provide data to cloud computing, and accept the services provided by cloud computing.

3.Big data is the foundation for the generation of wisdom and awareness on the Internet.

With the rise of blogs, social networks, cloud computing, the Internet of Things and other technologies, data and information on the Internet are growing and accumulating at an unprecedented rate. The interaction of Internet users, the release of information by enterprises and enterprises, and the real-time information induced by Internet of Things sensors are generating a large amount of structured and unstructured data all the time, which are scattered throughout the Internet network system, and the volume is extremely huge. These data contain valuable information in the fields of economy, science and technology, education, and so on [52].

This is the root and background of the rise of big data on the Internet.

At the same time, the widespread use of machine learning algorithms represented by deep learning in the Internet field has made Internet big data begin to be more deeply combined with artificial intelligence, including world-class companies leading in the field of big data and artificial intelligence, such as Google, Microsoft, etc. In 2011, Google began to apply "deep learning" to its own big data processing, and the combination of Internet big data and artificial intelligence laid the foundation for the wisdom and consciousness of the Internet brain.

4.The industrial or industrial Internet is essentially the germ of the motion nervous system of the Internet.

The Internet central nervous system is the software system in cloud computing to control the production equipment of industrial enterprises, household equipment at home, office equipment in the office, and the mechanical equipment through intelligent, 3D printing, wireless sensing and other technologies to become the tools of the Internet brain to transform the world. At the same time, these intelligent manufacturing and intelligent devices also continuously feed back big data to the Internet brain for decision-making by the Internet central nervous system.

5.The core of Internet+ is the evolution and expansion of the Internet, reflecting the dynamic process of the Internet from breadth, deep integration and involvement in the real world.

What is big data, cloud computing, Internet of Things, vernacular, these relationships with artificial intelligence.

Big data technology.

It is a new generation of technology and architecture, which is low-cost, with fast acquisition, processing and de-analysis technology, from a variety of oversized.

Extract value from data at scale. Big data technology continues to emerge and evolve, making it easier, cheaper, and faster for us to process massive amounts of data, making it a great tool for leveraging data, and even changing business models in many industries.

Big data is a collection of data that is growing rapidly and cannot be collected, processed, stored, and computed in a certain period of time with conventional data tools.

Cloud computing is an Internet-based supercomputing model in which thousands of computers and servers are connected to form a cloud of computers in remote data centers. As a result, cloud computing allows you to experience even 10 trillion operations per second, which is so powerful that you can simulate nuclear, climate change, and market trends. Users access the data center through computers, laptops, mobile phones, etc., and perform calculations according to their own needs.

The employment prospect of cloud computing, in a sense, can also be understood as the services provided by cloud computing for us, there is a certain inevitability, that is to say, what are the advantages of cloud computing for society and cloud computing users, and at the same time, it can be understood that the advantages of cloud computing are the employment advantages of cloud computing.

The relationship between big data, cloud computing, and the Internet of Things is as follows:

1. Cloud computing provides a technical foundation for big data, and big data provides a place for cloud computing.

2. The Internet of Things is an important part of big data, and big data technology provides support for data analysis of the Internet of Things.

3. Cloud computing provides massive data storage capacity for the Internet of Things, and the Internet of Things provides a broad application space for cloud computing technology.

To summarize the connection and difference between the three:

1. The difference between big data, cloud computing, and the Internet of Things. Big data focuses on the storage, processing and analysis of massive data, discovering value from massive data, and serving production and life. Cloud computing essentially aims to consolidate and optimize various IT resources and provide them to users cheaply as a service through the network.

The development goal of the Internet of Things is to realize the connection of things, and application innovation is the core of the development of the Internet of Things.

2. The connection between big data, cloud computing, and the Internet of Things. On the whole, big data, cloud computing, and the Internet of Things are complementary to each other. Big data is rooted in cloud computing, many technologies of big data analysis come from cloud computing, distributed and data storage and management systems of cloud computing (including distributed file systems and distributed database systems) provide massive data storage and management capabilities, and distributed parallel processing frameworks provide massive data analysis capabilities.

On the contrary, big data provides a "place to use" for cloud computing, and without the "training ground" of big data, no matter how advanced cloud computing technology is, it cannot give full play to its application value.

Cloud computing, big data and the Internet of Things have penetrated and integrated with each other, and they can be seen at the same time in many applications, and in the future, the three will continue to promote and influence each other to better serve all areas of social production and life.

Cloud Computing Copy.

The Internet of Things and the Internet are generating great.

BAI data, these DU data must find a place to store centrally.

zhi and processing dao, which must have cloud computing. Without cloud computing, the data generated by a refrigerator must be received by an independent back-end server, which is unacceptable in terms of cost and convenience. The role of cloud computing is to store and process massive amounts of data centrally.

After the massive data of big data is uploaded to the cloud computing platform, it is natural to need in-depth analysis and mining of the data, which is the purpose of big data. Analyze the congestion of a certain road by integrating the location information of thousands of vehicles; A comprehensive analysis of the health status of millions of people in a certain city may lead to the conclusion that the incidence of a certain disease around a certain factory is relatively high... These are all things that big data does.

Internet of Things, Internet of Things, Internet of Things; ioi, internet of information;

These two nets are used to connect everything and information, but why should they be connected? Because after connecting things and information, data can be connected, and data can generate greater value when it is connected. For example, the location data of a vehicle does not have much value, but the location data of thousands of vehicles can be used to judge road congestion and traffic scheduling.

Big data technology refers to the ability to quickly obtain valuable information from a wide variety of types of data. Technologies for big data, including massively parallel processing (MPP) databases, data mining power grids, distributed file systems, distributed databases, cloud computing platforms, the Internet, and scalable storage systems.

Application of big data: Big data is a new engine for the sustained and rapid growth of the information industry. New technologies, new products, new services, and new business formats for the big data market will continue to emerge.

In the field of hardware and integrated equipment, big data will have an important impact on the chip and storage industries, and will also give rise to integrated data storage and processing servers, memory computing and other markets. In the field of software and services, big data will lead to the development of rapid data processing and analysis, data mining technology and software products.

Cloud computing is the model for the addition, use, and delivery of Internet-based services, typically involving the provision of dynamically scalable and often virtualized resources over the Internet. Cloud is a metaphor for the network, the Internet. In the past, clouds were often used to represent telecommunication networks in diagrams, and later they were also used to represent the abstraction of the Internet and the underlying infrastructure.

Cloud computing refers to a technology that provides computing resources (such as computing power, storage space, etc.) to users in the form of services.

Big data refers to massive amounts of data that cannot be processed with traditional software tools.

The Internet of Things refers to the technology that connects hardware devices (such as refrigerators, cars, watches, etc.) to the internet so that these devices can communicate with each other and exchange data.

Differences: Cloud computing and big data are both related to computing, but cloud computing is a technology that provides computing services, while big data refers to the massive amount of data that needs to be processed.

The Internet of Things is not directly related to cloud computing and big data, and the Internet of Things (IoT) refers to the technology that connects hardware devices to the Internet so that these devices can communicate and exchange data with each other.

To put it simply, cloud computing is a service that provides computing resources, big data refers to the massive amount of data that needs to be processed, and the Internet of Things refers to the technology that connects hardware devices to the Internet so that these devices can communicate and exchange data with each other.