Distributed storage is deployed with a minimum of 3 storage nodes.

Distributed storage is a technology that decentralizes the storage of data on multiple nodes, each of which can independently provide read and write services for the data, thus improving the concurrent performance of the system. At the same time, by replicating data to multiple nodes, redundant backups of data can be realized to improve the fault tolerance of the system. Distributed storage is deployed with a minimum of 3 storage nodes. When a node fails, the system can automatically switch to the backup data on other nodes, thus ensuring system availability.

If there are only two nodes, the system will not be able to continue to provide services when one of the nodes fails. Distributed storage also enables dynamic scaling of data, so that when the system's storage needs increase, storage capacity can be expanded by adding new nodes.

Application Scenarios of Distributed Storage

1, Big Data Storage: distributed storage can store and process large-scale data, such as Internet data, sensor data, video data, and so on.

2, cloud storage services: distributed storage can be used to build cloud storage services, providing cloud storage, cloud backup, cloud archiving and other services.

3, data backup and recovery: distributed storage can be used for data backup and recovery, providing fault tolerance and reliability.

4, large-scale file **** enjoyment: distributed storage can be used for large-scale file **** enjoyment, such as audio and video **** enjoyment, file synchronization.

5, data analysis and mining: distributed storage can be used in conjunction with distributed computing systems for large-scale data analysis and mining, such as machine learning, data mining and so on.

6, CDN acceleration: distributed storage can be used to build CDN (content delivery network), providing efficient content distribution and acceleration services.