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Method and device for improving data layering efficiency

A data layer and efficiency technology, applied in the input/output process of data processing, electrical digital data processing, instruments, etc., can solve the problem of long statistics and adjustment cycle, weakening effect of improving input and output efficiency, and failure to reflect real-time input and output needs, etc. question

Active Publication Date: 2021-01-15
INSPUR SUZHOU INTELLIGENT TECH CO LTD
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

And distinguish between hot data and cold data through periodic statistical data access, formulate a data adjustment plan, and realize the dynamic migration of hot and cold data, but the statistical and adjustment cycle is too long (generally 24 hours), which cannot reflect the real-time demand for input and output. As a result, the effect of improving input and output efficiency is weakened

Method used

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  • Method and device for improving data layering efficiency
  • Method and device for improving data layering efficiency

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Embodiment 1

[0029] Such as figure 1 As shown, this embodiment provides a method for improving data layering efficiency, including the following steps:

[0030] S1, within a statistical cycle, count the correlation degree of any two read and write data blocks initiated by the front end in this cycle;

[0031] It should be noted that the statistical period is preset, for example, set to 1 hour, and the correlation degree of the data block is statistically calculated every 1 hour. Of course, the statistical cycle can also be dynamically adjusted according to the read and write density, that is, the number of reads and writes per unit time is counted, and the number of reads and writes per unit time is the read and write density. short. Specifically, the statistical cycle can be set in advance, if the number of reads and writes per unit time is 1-100, then set the statistical cycle as T1, if the number of reads and writes per unit time is 100-200, then set the statistical cycle as T2, T1 l...

Embodiment 2

[0046] Such as figure 2 As shown, this embodiment provides an apparatus for improving data layering efficiency, including the following functional modules.

[0047] The correlation degree statistics module 101 of this period: within a statistical period, count the correlation degree of any two read and write data blocks in this period;

[0048] The cumulative correlation degree calculation module 102 in this cycle: for every two read-write data blocks, use the correlation degree in this cycle and the cumulative correlation degree in the previous cycle to obtain the cumulative correlation degree in this cycle;

[0049] Data Migration Module 103: If the cumulative association degree of two read-write data blocks in this cycle is greater than the preset association degree threshold, and one of the read-write data blocks is in the hot data layer, and the other read-write data block is in the cold data layer, then Migrate the read and write data blocks in the cold data layer to t...

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Abstract

The invention discloses a method and device for improving data layering efficiency, and the method comprises the steps: counting the correlation degree of any two read-write data blocks initiated by afront end in a statistical period; for every two read-write data blocks, utilizing the correlation degree of the current period and the cumulative correlation degree of the previous period to obtainthe cumulative correlation degree of the current period; and if the cumulative correlation degree of the two read-write data blocks in the current period is greater than a preset correlation degree threshold, and one read-write data block is in a hot data layer and the other read-write data block is in a cold data layer, migrating the read-write data blocks in the cold data layer to a preheating data layer. The preheating data layer is added by taking the correlation degree of the data blocks as a starting point, the data blocks with high correlation degree are adjusted to the preheating datalayer, data layering is optimized, the statistical period granularity is small, the method is close to the current period, real-time input and output requirements are fed back, and the layering effectis improved.

Description

technical field [0001] The invention relates to the field of data layering, in particular to a method and device for improving data layering efficiency. Background technique [0002] Currently, storage products divide data into hot data and cold data. Hot data is stored in the high-speed tier, and cold data is stored in the low-speed tier. And distinguish between hot data and cold data through periodic statistical data access, formulate a data adjustment plan, and realize the dynamic migration of hot and cold data, but the statistical and adjustment cycle is too long (generally 24 hours), which cannot reflect the real-time demand for input and output. As a result, the effect of improving the input and output efficiency is weakened. Contents of the invention [0003] In order to solve the above problems, the present invention provides a method and device for improving the efficiency of data layering, which feeds back real-time input and output requirements and improves the...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F3/06
CPCG06F3/061G06F3/064G06F3/0647
Inventor 葛宁
Owner INSPUR SUZHOU INTELLIGENT TECH CO LTD
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