Automatic service quality management method and apparatus for storage array

Abstract

The invention discloses an automatic service quality management method and apparatus for a storage array, and a computer readable storage medium. The method comprises the steps of obtaining target response time corresponding to data volumes accessed by servers, wherein the data volumes belong to an automatic hierarchy volume of the storage array; and according to current response time of the datavolumes and the corresponding target response time, performing corresponding bandwidth adjustment by utilizing an automatic service quality technology. By performing dynamic adjustment on the I/O bandwidth of the data volumes belonging to the automatic hierarchy volume, the service level is improved, and managers can set priorities based on performance requirements more easily; and through the automatic hierarchy volume, rarely accessed data can be migrated to a cheap general disk from an expensive high-performance disk, so that the fund input cost is reduced, a management mode of the managersis simplified, and the overall performance of the storage system is improved.

Description

technical field [0001] The present invention relates to the technical field of software, in particular to a storage array automatic service quality management method, device and computer-readable storage medium. Background technique [0002] Quality of Service (QoS) features can selectively throttle server I / O requests to prevent performance impact on other server workloads. This allows users to prioritize certain applications over another for accessing storage resources. The problem with the existing storage QoS is that when all servers access the storage at the same time, a bottleneck will occur and affect the overall performance of the storage system. [0003] In the prior art, when QoS is used, the number of IOPS (Input / OutputOperations Per Second, the number of read and write operations per second) that each server can use at any time is limited, which will ensure the performance of all servers connected to the storage system Stablize. However, the quality of service...

AI Technical Summary

Problems solved by technology

The problem with existing storage QoS is that when all servers access storage at the same time, bottlenecks will occur and affect the overall performance of the storage system

However, the quality of service options of existing storage arrays only statically limit the IOPS of a specific volume and require extensive expertise and continuous tuning to find the best settings, making administrators need to invest a lot of management time and perform time-consuming and cumbersome tasks , such as data analysis and manual adjustment of application priority, etc., and data that is rarely or no longer accessed will occupy expensive high-performance disks and affect the overall performance of the storage system

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