One, the Internet of things
1. What is the Internet of things?
The Internet of things before being defined by the radio frequency identification (RFID), infrared sensors, GPS, laser scanners, gas sensors and other information sensing equipment according to the agreed protocol to anything connected with the Internet to exchange information, to achieve a network intelligent identification, positioning, tracking, monitoring and management, Jane other things are connected to the internet".
Later, it is redefined as the combination of almost all technologies and computers and Internet technologies, to achieve real-time and real-time sharing of environment and status information, as well as intelligent collection, transmission, processing and execution. In a broad sense, the application of information technology involved in the present can be included in the category of the Internet of things.
2, the key technology of the Internet of things
Sensor technology: This is also a key technology in computer applications. As you all know, so far the vast majority of computers have been digital signals. Since computers have needed sensors to convert analog signals into digital signals, it can be processed.
RFID tag is also a sensor technology. RFID technology is an integrated technology that integrates radio frequency technology and embedded technology. RFID has broad application prospects in automatic identification and material logistics management.
Embedded system technology is a complex technology which integrates computer software and hardware, sensor technology, integrated circuit technology and electronic application technology. After decades of evolution, intelligent terminal products characterized by embedded system can be seen everywhere, and small to MP3 around the world, to the Aerospace Satellite System. Embedded systems are changing people's lives, promoting industrial production and the development of national defense industry. If we use the Internet of things to make a simple metaphor for human body, sensors are equivalent to human eyes, nose, skin and other senses. The network is the nervous system to transmit information, and the embedded system is the human brain. After receiving the information, we need to classify it. This example describes the location and role of sensors and embedded systems in the Internet of things.
Now the Internet of things industry is composed of five levels: application layer, support layer, perception layer, platform layer and transmission layer.
Two. Cloud computing
1. What is cloud computing?
Cloud computing is a pay per use model, this model provides available, convenient, on-demand network access into configurable computing resources shared pool (resources including network, servers, storage, applications, services), these resources can be quickly provided, just put a few management work. Or rarely interact with service providers.
2, the relationship between the Internet of things and cloud computing
Cloud computing is the brain of the human being, and it is the nerve center of the Internet of things. Cloud computing is the mode of increasing, using and delivering related services based on Internet. It usually involves resources that are dynamically expanded and often virtualized through the Internet.
At present, the server of the Internet of things is deployed in the cloud, providing the services of the application layer through the cloud computing. Cloud computing can provide the following tomographic services:
IaaS: infrastructure is service
Consumers can get services from a perfect computer facility through Internet. For example, the hardware server rents.
PaaS: platform is service
PaaS actually refers to the platform of software development as a service that is submitted to users in the mode of SaaS. Therefore, PaaS is also an application of the SaaS pattern. But the emergence of PaaS can speed up the development of SaaS applications, such as the customized development of software.
SaaS: software is service
It is a mode of providing software through Internet. Users do not need to purchase software, but rent Web based software to providers to manage business activities, such as Amason.
Three. Large data
1. What is big data?
Big data is a data set that is much larger than that of traditional database software tools. It has four characteristics: massive data scale, fast data transfer, diverse data types and low value density. If the big data is compared to an industry, the key to the profitability of the industry is to improve the data processing capability, and to achieve "value-added" through data processing.
2. The relationship between large data and cloud computing
From a technical point of view, the relationship between large data and cloud computing is as close as the positive and negative side of a coin. Large data must not be processed by a single computer, and a distributed architecture must be adopted. Its characteristics are distributed data mining for massive data, but it must rely on distributed computing, distributed database and cloud storage, virtualization technology.
With the advent of the cloud age, the attention of big data is also increasing. The analyst team thinks that big data is usually used to describe a large number of unstructured and semi-structured data created by a company. Big data analysis is often associated with cloud computing, because real-time large data set analysis requires MapReduce like frameworks to distribute jobs to tens, hundreds or even thousands of computers.
Large data requires special techniques to effectively deal with a large amount of time tolerant data. Technology for large data, including large scale parallel processing database, data mining