The storage system has two parts: data storage and data management. The data storage part includes: storage controller hardware, disks, adapters, network transmission channels, RAID management, LUN management, etc. The main function of this part is to provide basic raw data storage services, such as storing data in the corresponding LUN or Read from it. The data management part includes: Tier, Snapshot, Clone and other data processing functional modules.

The data management part is mainly responsible for some high-level data processing, just like the social needs hierarchy pyramid. The lowest needs are survival, food and clothing, and clothing. This layer corresponds to the basic storage function of the storage system for data, such as to a piece of data. Data is stored in the disk; further up are higher-level needs, such as not only food and clothing, but also good food, sufficient taste, and rich material, so that you have everything you want. This corresponds to the evolution of storage systems for data storage, such as making multiple hard disks into RAID to improve performance, and dividing LUNs to make space allocation more flexible, and hardware configurations are becoming more and more powerful; however, people's needs are always getting more and more demanding. Crazy and boring, not satisfied, but also pursuing spiritual enjoyment. For example, if you have too much money, go to the streets to spread it, or pretend to be a beggar. This corresponds to more advanced processing of data in the storage system, such as Mirro, Snapshot, etc., and even some flashy functions.

The data management part can be divided into two categories: pre-processing and post-processing of data. Pre-processing refers to the initial processing of the data before it is written to the disk, or the storage space of the data is prepared in advance before being written to the disk for storage. Examples of pre-processing are: Post Deduplication, Thin Provision etc. Post-processing means that after the data is written to the disk, the functional module reads the data for processing, and then writes it back to the disk. Typical examples of post-processing include: BackGround Deduplication, Data Migrating, etc. Some functional modules include both pre-processing and post-processing, such as Snapshot. The generation of Snapshor is a post-processing process, but once the Snapshot is generated, each affected IO will also go through an additional pre-processing process, such as the CoW process, before being written to the hard disk; another example is that MinroMiror can be executed synchronously. It can also be executed asynchronously in the background. The former is pre-processing, while the latter is post-processing.

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