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How does the device achieve data redundancy?

Created on 2025-06-04 10:08:27
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Data redundancy is achieved through mechanisms that store multiple copies of data across different physical or logical locations to ensure availability and reliability in case of hardware failure, data corruption, or other disruptions.

How It Works:

  1. Replication: Data is copied and stored on multiple devices or servers. For example, a database might store the same record on three separate servers in different locations.
  2. RAID (Redundant Array of Independent Disks): In storage systems, RAID configurations (e.g., RAID 1, RAID 5, RAID 6) use mirroring or parity to duplicate data across multiple disks. If one disk fails, the data remains accessible from others.
  3. Distributed Storage Systems: Cloud-based storage solutions split data into chunks and distribute them across multiple nodes, often with redundancy built in (e.g., storing multiple copies of each chunk).

Example:

A company uses a distributed file system where each file is split into blocks and stored on three different servers. If one server fails, the data can still be retrieved from the other two servers.

In cloud environments, services like Tencent Cloud's Object Storage (COS) provide built-in data redundancy by automatically storing multiple copies of user data across different availability zones, ensuring high durability and availability. Additionally, Tencent Cloud's CBS (Cloud Block Storage) supports RAID configurations for local redundancy within a single server.