Things have been developed for many years, the English called Internet of Thing (IoT), refers to a network connected by a variety of physical devices, these devices such as mobile phones, cars, buildings, thermometer and so on everyday life have connectivity media items. And as more and more articles with this medium, these items have become connectable devices, therefore, the result of the development of IoT are all interconnected.
Many things will inevitably produce large amounts of Internet data that some will be processed on the local device, some will be sent to the data center unified process after, and large data centers are currently deployed in the cloud and therefore, IoT generated data will be processed in the cloud. Data is unitary in the cloud, a unified management of centralized processing and management, so the terminal device like a display apparatus, acquires the processing result through the network, and displayed to the user.
But the network transmission and local cloud terminal may be delayed a little severe cases can cause problems on the experience, and with the amount of data interconnect surge after all, calculate the pressure data center will be growing, at the same time the amount of data needs to be transmitted over the network is also growing.
For now, IoT and cloud computing integration, will meet the above two issues, namely the calculation of centralized data center computing to bring pressure, and the amount of data transfer over the network and increase surge caused by network latency The problem. The edge computing appear, you can solve these two problems to some extent.
Edge computation, stores the data from the scene using its place relatively close, somewhat similar to the CDN, it may be seen as distributed cloud. After the stored data is distributed to various devices, computing devices, or also transferred to the relatively near position, and therefore, full use of the system edge was calculated force associated equipment, and because the data from the more recent devices, in much the release of the data while the center of the calculated pressure, reduces the delay time to acquire data from the data center to the local device, the user experience is improved.
This view, then, the edge computing systems and cloud computing is similar, except that it is deployed to all corners of the world, and looks something like a private cloud part of the hybrid cloud. Computing edge data processing, and other data is also as important, and therefore, the edges of the computing system also requires high availability, scalability, and security can be elastically stretchable, and the system requires the ability to self-healing, need not to deal with failures often artificially , just like our home router, the configuration time, and occasionally there are problems to restart solved. Generally speaking, we may put the task of scheduling, distribution function instructions into the cloud computing platform, and edge computing nodes, is mainly used to perform the task, and the task execution results back to the cloud, so on edge computing and cloud computing fusion up.
Back on topic, we are talking about things and edge computing integration, because things spawned a lot of data, and these data processing and transmission will encounter some problems, edge computing addresses these issues, so the edge is calculated on and networking technology come together. We talked about above, the edge computing and cloud computing is together, so we can draw the conclusion that the Internet of Things, edge computing, cloud computing these three technologies, the result of continuous integration and development, and finally to approximate They are: all things Internet, the nearest computing, centralized management. Things, edge computing, cloud computing infrastructure belonging part, and derived from these basic technology development and application form, will be very imagination, and it is well worth the wait.
Original Address: networking and computing an edge fusion