17851595. STORAGE DEVICE POOL MANAGEMENT BASED ON FRAGMENTATION LEVELS simplified abstract (Western Digital Technologies, Inc.)

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STORAGE DEVICE POOL MANAGEMENT BASED ON FRAGMENTATION LEVELS

Organization Name

Western Digital Technologies, Inc.

Inventor(s)

Amit Sharma of Bangalore (IN)

Dinesh Kumar Agarwal of Bangalore (IN)

STORAGE DEVICE POOL MANAGEMENT BASED ON FRAGMENTATION LEVELS - A simplified explanation of the abstract

This abstract first appeared for US patent application 17851595 titled 'STORAGE DEVICE POOL MANAGEMENT BASED ON FRAGMENTATION LEVELS

Simplified Explanation

The patent application describes aspects related to data storage management. Here is a simplified explanation of the abstract:

  • The data storage system receives information about the fragmentation level of data storage devices and data from a host device that needs to be stored.
  • Based on the fragmentation level information, a target data storage device is selected, and the host data is sent to that device.
  • The data storage device itself determines threshold conditions that trigger a defragmentation process.
  • A fragmentation level metric is calculated by the data storage device, indicating how close it is to initiating the defragmentation process.
  • This fragmentation level metric is then sent to a storage management device for further action.

Potential Applications:

  • This technology can be applied in various data storage systems, such as computer hard drives, solid-state drives (SSDs), and network-attached storage (NAS) devices.
  • It can be used in cloud storage systems to optimize data placement and improve overall system performance.

Problems Solved:

  • Fragmentation in data storage devices can lead to decreased performance and increased access times.
  • This technology helps in managing fragmentation by selecting the most suitable storage device and triggering defragmentation processes when necessary.

Benefits:

  • By selecting the target data storage device based on fragmentation level information, the system can distribute data more efficiently and improve overall performance.
  • The ability of the data storage device to determine threshold conditions for defragmentation helps in maintaining optimal storage performance.
  • The fragmentation level metric provides valuable information to the storage management device, enabling proactive maintenance and optimization of the storage system.


Original Abstract Submitted

Aspects directed towards data storage management are provided. In one aspect, a data storage system receives fragmentation level information from data storage devices, and host data from a host device to be stored in the data storage devices. Based on the received fragmentation level information, a target data storage device is selected from the data storage devices, and the host data is sent to the target data storage device. In another aspect, a data storage device determines threshold conditions that trigger a defragmentation process. For this aspect, a fragmentation level metric indicating a proximity of the data storage device to initiating the defragmentation process is calculated based on the threshold conditions and a current amount of data stored in a non-volatile memory (NVM). The fragmentation level metric is then sent to a storage management device.

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