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This article introduces the knowledge of "what are the six advantages of server distributed storage". Many people will encounter this dilemma in the operation of actual cases. next, let the editor lead you to learn how to deal with these situations. I hope you can read it carefully and be able to achieve something!

Distributed storage often adopts distributed system structure, using multiple storage servers to share the storage load, and using location servers to locate and store information. It not only improves the reliability, availability and access efficiency of the system, but also is easy to expand and minimizes the unstable factors introduced by general hardware. The advantages are as follows:

1. High performance

A high-performance distributed depositor can usually manage read cache and write cache efficiently and support automatic hierarchical storage. Distributed storage improves the response speed of the system by mapping data from hot spots to high-speed storage; once these areas are no longer hot spots, then the storage system will move them out of high-speed storage. On the other hand, the write cache technology can significantly change the overall storage performance with high-speed storage. According to a certain strategy, the data is first written to high-speed storage, and then the disk is synchronized at an appropriate time.

two。 Support for hierarchical storage

Due to loosely coupled links over the network, distributed storage allows high-speed storage and low-speed storage to be deployed separately, or mixed in any proportion. The advantages of tiered storage can be best achieved in unpredictable business environments or agile applications. The biggest problem of cache hierarchical storage is that when the performance pool misses, the granularity of extracting data from the cold pool is too large, resulting in high latency, resulting in the jitter of the overall performance.

3. Consistency of multiple copies

Different from the traditional storage architecture which uses RAID mode to ensure the reliability of data, distributed storage uses multi-copy backup mechanism. Before storing the data, the distributed storage slices the data, and the sliced data is stored on the cluster node according to certain rules. In order to ensure the consistency among multiple data replicas, distributed storage usually adopts the strong consistency technology of writing one copy and reading multiple replicas. Mirror, stripe, distributed check and other methods are used to meet the different reliability needs of tenants. When reading data fails, the system can restore the data by reading data from other copies and rewriting the copy, thus ensuring that the total number of copies is fixed; when the data is inconsistent for a long time, the system will automatically restore the data. at the same time, tenants can set bandwidth rules for data recovery to minimize the impact on business.

4. Disaster recovery and backup

In the disaster recovery of distributed storage, an important means is the multi-point-in-time snapshot technology, which enables the user production system to save each version of data at a certain time interval. In particular, it is worth mentioning that multi-point-in-time snapshot technology supports simultaneous extraction of multiple point-in-time samples and recovery at the same time, which is very useful for disaster location of many logic errors. If users have multiple servers or virtual machines that can be used for system recovery, through comparison and analysis, we can quickly find out which point in time is the point in time that needs to be answered, reducing the difficulty of fault location and shortening the location time. This function is also very useful for fault recurrence for analysis and research to prevent disasters from happening again in the future. Multi-copy technology, data striping, multi-point-in-time snapshots and periodic incremental replication provide a guarantee for the high reliability of distributed storage.

5. Elastic expansion

Thanks to a reasonable distributed architecture, distributed storage can be predicted and flexibly scale computing, storage capacity, and performance. The horizontal scaling of distributed storage has the following characteristics:

1) after the node is expanded, the old data will be automatically migrated to the new node to achieve load balancing to avoid a single point of overheating

2) horizontal scaling only needs to connect the new node and the existing cluster to the same network, and the whole process will not affect the business.

3) when the node is added to the cluster, the overall capacity and performance of the cluster system will expand linearly, and then the resources of the new node will be taken over by the management platform and used for allocation or recycling.

6. Storage system standardization

With the development of distributed storage, the standardization process of the storage industry is also advancing. Distributed storage gives priority to using industry standard interfaces (SMI-S or OpenStack Cinder) for storage access. At the platform level, by abstracting heterogeneous storage resources, the traditional storage device-level operations are encapsulated into storage resource-oriented operations, so as to simplify the operation of heterogeneous storage infrastructure and realize the centralized management of storage resources. and can automatically execute the entire storage life cycle processes such as creation, change, recycling and so on. Based on the function of heterogeneous storage integration, users can achieve disaster recovery across different brands and media, such as middle and low end array as high-end array disaster recovery, different disk array as flash array disaster recovery and so on, which reduces the cost of storage procurement and management from the side.

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