CN112000549B - Capacity analysis method of storage equipment and related device - Google Patents
Capacity analysis method of storage equipment and related device Download PDFInfo
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- CN112000549B CN112000549B CN202010851723.8A CN202010851723A CN112000549B CN 112000549 B CN112000549 B CN 112000549B CN 202010851723 A CN202010851723 A CN 202010851723A CN 112000549 B CN112000549 B CN 112000549B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/3034—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a storage system, e.g. DASD based or network based
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
Abstract
The application discloses a capacity analysis method of a storage device, which comprises the steps of collecting capacity data of a preset capacity index according to a preset collection period; carrying out interpolation processing on the acquired capacity data; analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index. The method can reduce the system pressure and ensure the data display effect and the capacity prediction accuracy. The application also discloses a capacity analysis device and equipment of the storage equipment and a computer readable storage medium, which have the technical effects.
Description
Technical Field
The application relates to the technical field of storage device management, in particular to a capacity analysis method of a storage device; also relates to a capacity analysis device of the storage device, the equipment and a computer readable storage medium.
Background
For the management of storage devices, the capacity index is one of the most important indexes among many indexes. Monitoring capacity indicators is typically continuous capacity data sampled over a period of time. If the collection frequency is high, a large amount of redundant data exists in the collected volume data, and for a system that manages a plurality of storage devices, the high-frequency collection increases the load on the system. If the acquisition frequency is low, the acquired data amount is small, and the display effect is poor. For example, when the capacity usage trend is shown by a curve, the capacity usage trend is steep due to the fact that less data is collected. Moreover, when the prediction capacity is analyzed, the data quantity is insufficient, so that the prediction result is inaccurate and has no reference.
Therefore, how to reduce the system pressure and ensure the data display effect and the capacity prediction accuracy has become a technical problem to be solved urgently by those skilled in the art.
Disclosure of Invention
The application aims to provide a capacity analysis method of a storage device, which can reduce the system pressure and ensure the data display effect and the capacity prediction accuracy. Another object of the present application is to provide a capacity analyzing apparatus of a storage device, a device and a computer-readable storage medium, all having the above technical effects.
In order to solve the above technical problem, the present application provides a capacity analysis method for a storage device, including:
acquiring capacity data of a preset capacity index according to a preset acquisition period;
carrying out interpolation processing on the acquired capacity data;
analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
Optionally, the interpolating the acquired volume data includes:
and analyzing the change rate of the capacity data, and performing interpolation processing on the capacity data with different change rates by adopting different interpolation algorithms.
Optionally, the analyzing the change rate of the capacity data, and performing interpolation processing on the capacity data with different change rates by using different interpolation algorithms includes:
calculating differences of the volume data acquired at adjacent time points, and calculating the variance of each difference;
comparing the difference to the magnitude of the variance;
performing interpolation processing on the capacity data corresponding to the difference value which is greater than or equal to the variance by adopting a first interpolation algorithm;
and carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting a second interpolation algorithm.
Optionally, the first interpolation algorithm is a cubic spline interpolation algorithm, and the second interpolation algorithm is an average value interpolation algorithm.
Optionally, before performing interpolation processing on the capacity data by using the first interpolation algorithm or the second interpolation algorithm, the method further includes:
traversing the interpolation, storing the capacity data corresponding to the difference value which is greater than or equal to the variance into a first data set, storing the capacity data corresponding to the difference value which is smaller than the variance into a second data set, so as to perform interpolation processing on the capacity data in the first data set by adopting the first interpolation algorithm, and performing interpolation processing on the capacity data in the second data set by adopting the second interpolation algorithm.
Optionally, the method further includes:
the inserted data is marked.
Optionally, the method further includes:
and deleting the inserted data after the use trend of the preset capacity index is displayed or the preset capacity index is predicted.
In order to solve the above technical problem, the present application further provides a capacity analysis apparatus for a storage device, including:
the acquisition module is used for acquiring capacity data of a preset capacity index according to a preset acquisition cycle;
the processing module is used for carrying out interpolation processing on the acquired capacity data;
and the analysis module is used for analyzing the acquired capacity data and interpolating the inserted data to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
In order to solve the above technical problem, the present application further provides a capacity analysis device of a storage device, including:
a memory for storing a computer program;
a processor for implementing the steps of the capacity analysis method of the storage device as described above when executing the computer program.
In order to solve the above technical problem, the present application further provides a computer-readable storage medium having a computer program stored thereon, where the computer program is executed by a processor to implement the steps of the capacity analysis method of the storage device as described above.
The capacity analysis method of the storage device provided by the application comprises the following steps: acquiring capacity data of a preset capacity index according to a preset acquisition period; carrying out interpolation processing on the acquired capacity data; analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
Therefore, according to the capacity analysis method of the storage device, after the acquired capacity data are subjected to interpolation processing, the acquired capacity data and the interpolated data subjected to interpolation processing are analyzed, and the use trend of the capacity is obtained and displayed or the capacity is predicted. Because this application can carry out interpolation processing to the capacity data of gathering, consequently need not high frequency collection, need not a large amount of collection capacity data promptly to the effectual pressure that reduces the system, and because this application carries out interpolation processing to the capacity data of gathering and can supply some data, so even low frequency is gathered, the capacity data volume of gathering is not big, behind interpolation processing supplementary data, also can effectively compensate the little problem of the capacity data volume of gathering, and then guarantee data display effect and capacity prediction's accuracy.
The capacity analysis device of the storage equipment, the equipment and the computer readable storage medium have the technical effects.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the prior art and the embodiments are briefly described below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings without creative efforts.
Fig. 1 is a schematic flowchart illustrating a capacity analysis method of a storage device according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a capacity analysis apparatus of a storage device according to an embodiment of the present disclosure;
fig. 3 is a schematic diagram of a capacity analysis device of a storage device according to an embodiment of the present application.
Detailed Description
The core of the application is to provide a capacity analysis method of a storage device, which can reduce the system pressure and ensure the data display effect and the capacity prediction accuracy. Another core of the present application is to provide a capacity analysis apparatus of a storage device, a device and a computer-readable storage medium, all having the above technical effects.
In order to make the objects, technical solutions and advantages of the embodiments of the present application clearer, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the drawings in the embodiments of the present application, and it is obvious that the described embodiments are some embodiments of the present application, but not all embodiments. All other embodiments obtained by a person of ordinary skill in the art based on the embodiments in the present application without making any creative effort belong to the protection scope of the present application.
Referring to fig. 1, fig. 1 is a schematic flow chart illustrating a capacity analysis method of a storage device according to an embodiment of the present application, and referring to fig. 1, the method includes:
s101: acquiring capacity data of a preset capacity index according to a preset acquisition cycle;
specifically, the capacity data of the set capacity index is acquired according to the set acquisition cycle after the acquisition cycle and the capacity index are set. The set capacity index may be volume capacity, pool capacity, or the like. For example, when the volume index is set to the volume capacity, that is, the preset volume index is the volume capacity, the volume data of the volume capacity is collected according to the set collection period, that is, the preset collection period.
S102: carrying out interpolation processing on the acquired capacity data;
specifically, in order to reduce the system pressure, the preset acquisition period is set to be a large value, namely the frequency of acquiring the capacity data is low, and correspondingly, the data volume of the acquired capacity data is small. In order to overcome the defects of poor data display effect and inaccurate capacity prediction caused by less data quantity, the method and the device perform interpolation processing on the acquired capacity data on the basis of acquiring the capacity data to supplement some data and increase the data quantity.
In a specific embodiment, the interpolating processing on the acquired volume data includes: and analyzing the change rate of the capacity data, and performing interpolation processing on the capacity data with different change rates by adopting different interpolation algorithms. Therefore, interpolation processing is carried out on the capacity data with different change rates by adopting different interpolation algorithms, so that the interpolation speed can be effectively increased.
Further, in a specific embodiment, the analyzing the change rate of the capacity data and performing interpolation processing on the capacity data with different change rates by using different interpolation algorithms includes: calculating differences of the volume data acquired at adjacent time points, and calculating the variance of each difference; comparing the difference to the magnitude of the variance; performing interpolation processing on the capacity data corresponding to the difference value which is greater than or equal to the variance by adopting a first interpolation algorithm; and carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting a second interpolation algorithm.
Specifically, the present embodiment distinguishes the change rate of the capacity data by calculating the difference of the acquired capacity data at adjacent time points and the variance of each difference, and comparing each difference with the magnitude of the calculated variance. If the difference value of the volume data acquired at the adjacent time points is larger than or equal to the variance, the volume data acquired at the adjacent time points is indicated to have larger change, and at the moment, a first interpolation algorithm aiming at the data with larger change is adopted to carry out interpolation processing on the data. If the difference value of the volume data acquired at the adjacent time points is smaller than the variance, the volume data acquired at the connected time points is stable in change, and at the moment, a second interpolation algorithm aiming at the stably-changed data is adopted to perform interpolation processing on the data.
Further, in a specific real-time manner, the first interpolation algorithm is a cubic spline interpolation algorithm, and the second interpolation algorithm is an average value interpolation algorithm. That is, the cubic spline interpolation algorithm is adopted to perform interpolation processing on the capacity data corresponding to the difference value which is greater than or equal to the variance; and carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting an average value interpolation algorithm.
The cubic spline interpolation algorithm can be realized by using a java language. In addition, for the principles of the cubic spline interpolation algorithm and the average value interpolation algorithm, details are not repeated herein, and reference may be made to the existing related records. In addition, it can be understood that other interpolation algorithms can be adopted besides the cubic spline difference algorithm and the mean value interpolation algorithm, and the application is not limited uniquely.
Further, in a specific embodiment, before performing interpolation processing on the capacity data by using the first interpolation algorithm or the second interpolation algorithm, the method further includes: traversing the difference, storing the capacity data corresponding to the difference larger than or equal to the variance into a first data set, storing the capacity data corresponding to the difference smaller than the variance into a second data set, so as to perform interpolation processing on the capacity data in the first data set by adopting a first interpolation algorithm, and perform interpolation processing on the capacity data in the second data set by adopting a second interpolation algorithm.
Specifically, on the basis of calculating the difference of the volume data acquired at each adjacent time point and calculating the variance of each difference, each difference is traversed, the volume data corresponding to the difference larger than or equal to the variance is stored in a first data set, and the volume data corresponding to the difference smaller than the variance is stored in a second data set. Furthermore, the capacity data in the first data set is interpolated by a first interpolation algorithm, and the capacity data in the second data set is interpolated by a second interpolation algorithm.
S103: and analyzing the acquired capacity data and interpolating the inserted data to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
Specifically, after the capacity data is collected and the interpolation processing is performed, the collected capacity data and the interpolated data are analyzed to obtain and display the use trend of the preset capacity index, for example, the use trend of the preset capacity index is displayed in a curve manner. Or analyzing the acquired capacity data and interpolating the inserted data to predict the preset capacity index.
The inserted data can be prohibited from being displayed when the trend of the preset capacity index is displayed, so that the inserted data is prevented from generating misleading to a user. The data that is prohibited from being displayed when the trend of the preset capacity index is displayed is that, when the trend of the preset capacity index is displayed in a curve manner, only a curve obtained by fitting the capacity data and the inserted data is displayed, and the inserted data is not displayed.
In addition, the inserted data may be deleted after the usage trend of the preset capacity index is displayed or the preset capacity index is predicted.
Furthermore, the inserted data can be marked in order to clean the inserted data and inhibit the display of the inserted data during the display.
In summary, the capacity analysis method for a storage device provided by the present application includes: acquiring capacity data of a preset capacity index according to a preset acquisition period; carrying out interpolation processing on the acquired capacity data; analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index. The method comprises the steps of carrying out interpolation processing on collected capacity data, analyzing the collected capacity data and the data inserted by the interpolation processing, and obtaining and displaying the use trend of the capacity or predicting the capacity. Because this application can carry out interpolation processing to the capacity data of gathering, consequently need not high frequency collection, need not a large amount of collection capacity data promptly to the effectual pressure that reduces the system, and because this application carries out interpolation processing to the capacity data of gathering and can supply some data, so even low frequency is gathered, the capacity data volume of gathering is not big, behind interpolation processing supplementary data, also can effectively compensate the little problem of the capacity data volume of gathering, and then guarantee data display effect and capacity prediction's accuracy.
The application also provides a capacity analysis device of the storage equipment, and the device described below can be mutually and correspondingly referenced with the method described above. Referring to fig. 2, fig. 2 is a schematic diagram of a capacity analysis apparatus of a storage device according to an embodiment of the present application, and referring to fig. 2, the apparatus includes:
the acquisition module 10 is used for acquiring capacity data of a preset capacity index according to a preset acquisition cycle;
the processing module 20 is configured to perform interpolation processing on the acquired capacity data;
and the analysis module 30 is configured to analyze the acquired capacity data and interpolate the inserted data to obtain and display a use trend of the preset capacity index and/or predict the preset capacity index.
On the basis of the foregoing embodiment, optionally, the processing module 20 is specifically configured to analyze the change rate of the capacity data, and perform interpolation processing on the capacity data with different change rates by using different interpolation algorithms.
On the basis of the above embodiment, optionally, the processing module 20 includes:
the calculation unit is used for calculating the difference value of the capacity data acquired at the adjacent time points and calculating the variance of each difference value;
a comparison unit for comparing the difference value with the variance;
a first processing unit, configured to perform interpolation processing on the capacity data corresponding to the difference value that is greater than or equal to the variance by using a first interpolation algorithm;
and the second processing unit is used for carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting a second interpolation algorithm.
On the basis of the foregoing embodiment, optionally, the first interpolation algorithm is a cubic spline interpolation algorithm, and the second interpolation algorithm is a mean value interpolation algorithm.
On the basis of the above embodiment, optionally, the method further includes:
and the storage module is used for traversing the capacity data, storing the capacity data corresponding to the difference value which is greater than or equal to the variance into a first data set, storing the capacity data corresponding to the difference value which is smaller than the variance into a second data set, so as to perform interpolation processing on the capacity data in the first data set by adopting the first interpolation algorithm, and perform interpolation processing on the capacity data in the second data set by adopting the second interpolation algorithm.
On the basis of the above embodiment, optionally, the method further includes:
a marking module for marking the inserted data.
On the basis of the above embodiment, optionally, the method further includes:
and the deleting module is used for deleting the inserted data after the use trend of the preset capacity index is displayed or the preset capacity index is predicted.
The present application also provides a capacity analysis device of a storage device, which comprises a memory 1 and a processor 2, as shown with reference to fig. 3.
A memory 1 for storing a computer program;
a processor 2 for executing the computer program to implement the steps of:
acquiring capacity data of a preset capacity index according to a preset acquisition period; carrying out interpolation processing on the acquired capacity data; analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
For the introduction of the device provided in the present application, please refer to the above method embodiment, which is not described herein again.
The present application further provides a computer readable storage medium having a computer program stored thereon, which when executed by a processor, performs the steps of:
acquiring capacity data of a preset capacity index according to a preset acquisition period; carrying out interpolation processing on the acquired capacity data; analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index.
The computer-readable storage medium may include: various media capable of storing program codes, such as a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk, or an optical disk.
For the introduction of the computer-readable storage medium provided in the present application, please refer to the above method embodiments, which are not described herein again.
The embodiments are described in a progressive mode in the specification, the emphasis of each embodiment is on the difference from the other embodiments, and the same and similar parts among the embodiments can be referred to each other. The device, the apparatus and the computer-readable storage medium disclosed by the embodiments correspond to the method disclosed by the embodiments, so that the description is simple, and the relevant points can be referred to the description of the method.
Those of skill would further appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, computer software, or combinations of both, and that the various illustrative components and steps have been described above generally in terms of their functionality in order to clearly illustrate this interchangeability of hardware and software. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the implementation. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
The steps of a method or algorithm described in connection with the embodiments disclosed herein may be embodied directly in hardware, in a software module executed by a processor, or in a combination of the two. A software module may reside in Random Access Memory (RAM), memory, Read Only Memory (ROM), electrically programmable ROM, electrically erasable programmable ROM, registers, hard disk, a removable disk, a CD-ROM, or any other form of storage medium known in the art.
The method, apparatus, device and computer-readable storage medium for analyzing the capacity of the storage device provided in the present application are described in detail above. The principles and embodiments of the present application are explained herein using specific examples, which are provided only to help understand the method and the core idea of the present application. It should be noted that, for those skilled in the art, without departing from the principle of the present application, the present application can also make several improvements and modifications, and those improvements and modifications also fall into the protection scope of the claims of the present application.
Claims (8)
1. A method for capacity analysis of a storage device, comprising:
acquiring capacity data of a preset capacity index according to a preset acquisition period;
carrying out interpolation processing on the acquired capacity data;
analyzing the acquired capacity data and the interpolated data through interpolation processing to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index;
the interpolation processing of the acquired capacity data includes:
analyzing the change rate of the capacity data, and performing interpolation processing on the capacity data with different change rates by adopting different interpolation algorithms;
the analyzing the change rate of the capacity data and performing interpolation processing on the capacity data with different change rates by adopting different interpolation algorithms comprises the following steps:
calculating differences of the volume data acquired at adjacent time points, and calculating the variance of each difference;
comparing the difference to the magnitude of the variance;
performing interpolation processing on the capacity data corresponding to the difference value which is greater than or equal to the variance by adopting a first interpolation algorithm;
and carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting a second interpolation algorithm.
2. The capacity analysis method according to claim 1, wherein the first interpolation algorithm is a cubic spline interpolation algorithm, and the second interpolation algorithm is a mean value interpolation algorithm.
3. The capacity analysis method according to claim 2, wherein before the interpolation processing of the capacity data by using the first interpolation algorithm or the second interpolation algorithm, the method further comprises:
traversing the difference, storing the capacity data corresponding to the difference which is greater than or equal to the variance into a first data set, storing the capacity data corresponding to the difference which is less than the variance into a second data set, so as to perform interpolation processing on the capacity data in the first data set by adopting the first interpolation algorithm, and performing interpolation processing on the capacity data in the second data set by adopting the second interpolation algorithm.
4. The capacity analysis method according to claim 3, further comprising:
the inserted data is marked.
5. The capacity analysis method of claim 4, further comprising:
and deleting the inserted data after the use trend of the preset capacity index is displayed or the preset capacity index is predicted.
6. An apparatus for analyzing a capacity of a storage device, comprising:
the acquisition module is used for acquiring capacity data of a preset capacity index according to a preset acquisition cycle;
the processing module is used for carrying out interpolation processing on the acquired capacity data;
the analysis module is used for analyzing the acquired capacity data and interpolating the inserted data to obtain and display the use trend of the preset capacity index and/or predict the preset capacity index;
the processing module is specifically used for analyzing the change rate of the capacity data and performing interpolation processing on the capacity data with different change rates by adopting different interpolation algorithms;
the processing module comprises:
the calculation unit is used for calculating the difference value of the capacity data acquired at the adjacent time points and calculating the variance of each difference value;
a comparison unit for comparing the difference value with the variance;
a first processing unit, configured to perform interpolation processing on the capacity data corresponding to the difference greater than or equal to the variance by using a first interpolation algorithm;
and the second processing unit is used for carrying out interpolation processing on the capacity data corresponding to the difference value smaller than the variance by adopting a second interpolation algorithm.
7. A capacity analyzing apparatus of a storage device, comprising:
a memory for storing a computer program;
a processor for implementing the steps of the capacity analysis method of the storage device according to any one of claims 1 to 5 when executing the computer program.
8. A computer-readable storage medium, characterized in that a computer program is stored thereon, which computer program, when being executed by a processor, carries out the steps of the capacity analysis method of a storage device according to any one of claims 1 to 5.
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