Disk read-write resource allocation method and device, equipment and storage medium

Abstract

The embodiment of the invention provides a disk read-write resource allocation method, device and equipment and a computer readable storage medium, and relates to the technical field of cloud. The method comprises the steps of determining a partition identifier of a target disk partition corresponding to a host according to a host identifier, a first mapping relationship between the host and a virtual device, a second mapping relationship between the virtual device and a preset namespace and a third mapping relationship between the preset namespace and a disk partition of a disk in sequence; and allocating a target disk partition corresponding to the partition identifier to the host, and responding to the read-write request in the read-write request queue through the target disk partition.Through the method and the device, dynamic division of the resources allocated to the read-write request queue can be realized, so that read-write load balance of each preset namespace is realized.

Description

technical field [0001] The embodiments of the present application relate to the field of computers, and relate to, but are not limited to, a method, device, device, and computer-readable storage medium for allocating disk read and write resources. Background technique [0002] With the gradual popularization of flash memory technology, the non-volatile memory host controller interface specification (NVMe, Non-Volatile Memory Express) technology has also become a key channel to support high-speed access between flash memory devices and the host (Host). At present, the application of NVMe solid-state disk (SSD, Solid State Disk) is more based on the high-speed exclusive demand, and the ultimate performance growth is achieved by a specific Host. [0003] However, as the capacity of NVMe SSDs increases, the failure range and utilization rate of a single disk can no longer meet the requirements. It is necessary to consider resource multiplexing and sharing through capacity splitt...

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Problems solved by technology

[0003] However, as the capacity of NVMe SSDs increases, the failure range and utilization rate of a single disk can no longer meet the requirements. It is necessary to consider resource multiplexing and sharing through capacity splitting. Constrained queue management and allocation mechanism, unable to effectively split the capacity of NVMe SSDs to achieve resource reuse and sharing, so load balancing of NVMe SSDs cannot be achieved

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