Method and device for automatically adjusting Cache refreshing parameters

Abstract

The invention provides a method for automatically adjusting Cache refreshing parameters. The method includes the steps that firstly, whether read flow exists in a disk array or not is judged, and if yes, the second step is executed; secondly, when a refreshing strategy executed currently by the array is a high-low water line refreshing strategy, a high-low water line is up adjusted by a preset value each time until the high-low water line refreshing strategy is not met, or when the average equipment I / O operation waiting time await values each time of all disks in the array are not all smaller than a preset threshold value A, the number of bands in a band refreshing strategy is up adjusted by a preset value until the await values of all the disks in the array are smaller than the preset threshold value A. According to the scheme, when the service pressure is not high, data in the Cache can be written into the disks as soon as possible, and safety of the data is ensured; when the service pressure is high, the service performance can be met by adjusting the Cache refreshing parameters.

Description

technical field [0001] The invention relates to the technical field of video monitoring, in particular to a method and device for automatically adjusting Cache refreshing parameters. Background technique [0002] Due to its authenticity, reliability, and universality, video surveillance technology has been widely used and developed rapidly in various industries such as security, transportation, finance, and education. The front-end encoding device writes the video data into the SAN resource of the back-end storage controller in the form of block direct storage. In order to improve performance, video data is usually stored using a cache memory Cache. The storage device allocates a certain cache space for each array, and returns success to the upper layer directly after the business data is written to the cache. The location of the Cache in the storage device such as figure 1 shown. [0003] The size of the Cache space is fixed, and data cannot be stored indefinitely. The...

AI Technical Summary

Problems solved by technology

This processing method does not distinguish between business models, business volumes, and disk IO processing capabilities

In fact, there may be differences in the business model, business volume, and disk IO processing capabilities on different arrays, and even the business model and business volume on the same array may also change.

If the cache is refreshed with a fixed threshold, not only the maximum effect of the cache cannot be exerted, but also the performance of the business may be affected

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