In recent years, with the in-depth development of a new round of scientific and technological revolution and industrial transformation, promoting the full opening of the digital economy era, computing power has become an important core competitiveness of industrial development. As a mainstream advanced computing model, cloud computing has become the choice of digital transformation for many enterprises in the past decade by virtue of the characteristics of on-demand services and on-demand services.
However, with the rapid development of 5 g, such as the Internet of things technology, wearable devices, such as the robot terminal number increase rapidly, at the same time terminal equipment produced by the amount of data is growing exponentially, and the data processing the timeliness, reliability, put forward the higher request of reliability is put forward higher request, promotes the cloud computing service extended toward the edge, This gave rise to the concept of edge clouds.
What is an edge cloud?
According to the definition given in the White Paper on Edge Cloud Computing Technology and Standardization, edge cloud is a cloud computing platform built on edge infrastructure based on the core of cloud computing technology and edge computing capabilities. Form the edge location of the computing, networking, storage, security, and so on ability comprehensive elastic cloud platform, and cloud and the Internet of things terminal and center to form "the cloud side to side with" three TiXie end-to-end technical architecture, forward through the network, storage, computing, intelligent data analysis and so on work on edge processing, reduce the response time delay and reduce the pressure of the cloud, to reduce the cost of bandwidth, And for the whole network scheduling, computing power distribution and other cloud services.
The advantages of edge cloud bring a lot of convenience to users, and its social demand and market space are undoubtedly huge. Specifically,
Reduce latency: Edge cloud provides computing and network coverage nearby, enabling users to obtain required computing results faster.
Self-recovery: When the network is abnormal or even interrupted, nodes in the edge cloud can realize local autonomy and self-recovery.
Bandwidth saving: Users pull the required calculation results or storage files from the edge infrastructure with only a few network hops.
Discretionary scheduling: Business logic can be dynamically distributed by the central cloud, depending on which edge node it is executed at.
Secure and reliable: By deploying specific data access policies, service providers can provide users with more secure or compliant data storage solutions and integrated security protection capabilities with traditional cloud computing