Disk capacity predicting method, apparatus, equipment and non-volatile computer storage medium

Patent metadata

Field	Value
Publication number	US-2017193373-A1
Application number	US-201515039780-A
Country	US
Kind code	A1
Filing date	Nov 10, 2015
Priority date	Aug 25, 2015
Publication date	Jul 6, 2017
Grant date	—

Abstract

Embodiments of the present disclosure provide a disk capacity predicting method, apparatus, equipment and non-volatile computer storage medium. On the one hand, the change data of the disk capacity is obtained according to the historical capacity data of the disk; then the target inflection point in the historical capacity data is obtained according to the change data of the disk capacity; and then the linear relationship between the time and disk capacity is obtained according to the historical capacity data after the target inflection point. Therefore, technical solutions provided by embodiments of the present disclosure may achieve improvement of accuracy of prediction of disk capacity trend and reduce the cost needed in disk capacity prediction.

First claim

1 .- 14 . (canceled)

15 . A disk capacity predicting method, comprising:
obtaining change data of a disk capacity according to historical capacity data of the disk; obtaining a target inflection point in the historical capacity data according to the change data of the disk capacity; and obtaining a linear relationship between time and the disk capacity according to the historical capacity data after the target inflection point.

16 . The method according to claim 15 , wherein before obtaining change data of a disk capacity according to historical capacity data of the disk, the method further comprises:
performing data smoothing processing for the historical capacity data of the disk.

17 . The method according to claim 15 , wherein the historical capacity data comprise at least one sampling moment and a disk capacity at each sampling moment; the obtaining the change data of a disk capacity according to historical capacity data of the disk comprises:
obtaining a disk capacity speed at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity; or obtaining a disk capacity acceleration at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity.

18 . The method according to claim 16 , wherein the historical capacity data comprise at least one sampling moment and a disk capacity at each sampling moment; the obtaining the change data of a disk capacity according to historical capacity data of the disk comprises:
obtaining a disk capacity speed at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity; or obtaining a disk capacity acceleration at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity.

19 . The method according to claim 15 , wherein the obtaining a target inflection point in the historical capacity data according to the change data of the disk capacity comprises:
using at least two detection algorithms to respectively detect the change data of the disk capacity, to obtain a first candidate inflection point detected by each detection algorithm; obtaining a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm.

20 . The method according to claim 16 , wherein the obtaining a target inflection point in the historical capacity data according to the change data of the disk capacity comprises:
using at least two detection algorithms to respectively detect the change data of the disk capacity, to obtain a first candidate inflection point detected by each detection algorithm; obtaining a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm.

21 . The method according to claim 19 , wherein the obtaining a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm comprises:
obtaining a second inflection point according to the first candidate inflection point detected by each detection algorithm, obtaining the second candidate inflection point at the latest sampling moment as a target inflection point in the historical capacity data.

22 . The method according to claim 15 , wherein the obtaining a linear relationship between time and the disk capacity according to the historical capacity data after the target inflection point comprises:
performing linear fitting processing for the historical capacity data after the target inflection point to obtain the linear relationship between the time and disk capacity.

23 . A disk capacity predicting apparatus, comprising:
a data processing unit configured to obtain change data of a disk capacity according to historical capacity data of the disk; an inflection point recognizing unit configured to obtain a target inflection point in the historical capacity data according to the change data of the disk capacity; a capacity predicting unit configured to obtain a linear relationship between time and the disk capacity according to the historical capacity data after the target inflection point.

24 . The apparatus according to claim 23 , wherein the apparatus further comprises:
a data smoothing unit configured to perform data smoothing processing for the historical capacity data of the disk.

25 . The apparatus according to claim 23 , wherein the historical capacity data comprise at least one sampling moment and a disk capacity at each sampling moment; the data processing unit is configured to:
obtain a disk capacity speed at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity; or obtain a disk capacity acceleration at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity.

26 . The apparatus according to claim 24 , wherein the historical capacity data comprise at least one sampling moment and a disk capacity at each sampling moment; the data processing unit is configured to:
obtain a disk capacity speed at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity; or obtain a disk capacity acceleration at each sampling moment in said at least on sampling moment according to the disk capacity at said at least one sampling moment, as the change data of the disk capacity.

27 . The apparatus according to claim 23 , wherein the inflection point recognizing unit is configured to:
use at least two detection algorithms to respectively detect the change data of the disk capacity, to obtain a first candidate inflection point detected by each detection algorithm; obtain a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm.

28 . The apparatus according to claim 24 , wherein the inflection point recognizing unit is configured to:
use at least two detection algorithms to respectively detect the change data of the disk capacity, to obtain a first candidate inflection point detected by each detection algorithm; obtain a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm.

29 . The apparatus according to claim 27 , wherein upon obtaining a target inflection point in the historical capacity data according to the first candidate inflection point detected by each detection algorithm, said inflection point recognizing unit is configured to:
obtain a second inflection point according to the first candidate inflection point detected by each detection algorithm, obtain the second candidate inflection point at the latest sampling moment as a target inflection point in the historical capacity data.

30 . The apparatus according to claim 23 , wherein the capacity predicting unit is configured to: perform linear fitting processing for the historical capacity data after the target inflection point to obtain the linear relation

Assignees

• Beijing Baidu Netcom Sci & Tec

Inventors

• Wang Bo
• Qu Xianping
• He Jia
• Tao Shimin
• Zang Zhi
• Miao Beibei
• Chen Yu
• Su Hui

Classifications

• G06F16/00

  Information retrieval; Database structures therefor; File system structures therefor · CPC title

• G06F3/0653

  Monitoring storage devices or systems · CPC title

• G06F3/0674

  Disk device · CPC title

• G06F11/3442 Primary

  for planning or managing the needed capacity · CPC title

• G06N5/04 Primary

  Inference or reasoning models · CPC title