CN112612645B - Backup standard reaching rate determining method, equipment, storage medium and device - Google Patents
Backup standard reaching rate determining method, equipment, storage medium and device Download PDFInfo
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- 238000011084 recovery Methods 0.000 description 8
- 238000004891 communication Methods 0.000 description 5
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- 238000012797 qualification Methods 0.000 description 1
- 238000012502 risk assessment Methods 0.000 description 1
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1448—Management of the data involved in backup or backup restore
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
- G06F11/1446—Point-in-time backing up or restoration of persistent data
- G06F11/1458—Management of the backup or restore process
- G06F11/1469—Backup restoration techniques
Abstract
The invention discloses a backup standard reaching rate determining method, equipment, a storage medium and a device. Because the risk grades are divided for each backup point according to the risk time length, the risk grade corresponding to each backup point is obtained, and the standard reaching rate of the data backup corresponding to the backup strategy is determined according to the accumulated risk time length of each risk grade.
Description
Technical Field
The present invention relates to the field of computers, and in particular, to a method, an apparatus, a storage medium, and a device for determining a backup standard rate.
Background
At present, with the construction of IT systems and the application of business systems, company data is not growing at any time, and for each company, the importance of the data, i.e. the assets, is increasing. When a disaster or an emergency occurs, the data can be restored to what time point, and how much data is actually lost is an index which is very concerned when each company performs disaster recovery design. The existing data backup task depends on the manual statistics quantity, only records the successful or failed state of backup, not only has high cost, but also increases the workload of IT administrators, causes poor data backup accuracy, cannot timely detect the risk of backup data, and causes large data loss.
The foregoing is provided merely for the purpose of facilitating understanding of the technical solutions of the present invention and is not intended to represent an admission that the foregoing is prior art.
Disclosure of Invention
The invention mainly aims to provide a backup standard reaching rate determining method, equipment, a storage medium and a device, and aims to solve the technical problem that in the prior art, the data loss is large because the risk of backup data cannot be perceived in time.
In order to achieve the above object, the present invention provides a backup standard rate determining method, which includes the following steps:
Acquiring actual backup parameter information of target equipment;
determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information;
carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point;
determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point;
and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level.
Preferably, the step of determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information includes:
when the backup strategy is a timing backup strategy, acquiring theoretical backup parameter information corresponding to the timing backup strategy;
extracting actual backup completion time from the actual backup parameter information, and extracting theoretical backup completion time from the theoretical backup parameter information;
and determining the risk duration of each backup point in the timing backup strategy according to the actual backup completion duration and the theoretical backup completion duration.
Preferably, the step of classifying the risk levels of the backup points according to the risk duration to obtain the risk levels corresponding to the backup points includes:
When the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the timed backup strategy is risk-free;
when the risk time length is larger than the preset threshold value and is not larger than the theoretical backup completion time length, determining that the risk level of the current backup point in the timed backup strategy is low risk;
when the risk time length is longer than the theoretical backup completion time length and is not longer than the target backup completion time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the timed backup strategy is a medium risk;
and when the risk time length is longer than the target backup completion time length corresponding to the preset multiple, determining that the risk level of the current backup point in the timed backup strategy is high risk.
Preferably, the step of determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point includes:
determining the risk duration of the same risk level according to the risk duration of each backup point and the risk level corresponding to each backup point;
accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level;
Correspondingly, the step of determining the data backup standard reaching rate corresponding to the backup strategy according to the accumulated risk duration of each risk level comprises the following steps:
extracting backup point retention period from the theoretical backup parameter information;
and determining the standard rate of the data backup corresponding to the timing backup strategy according to the accumulated risk duration of each risk level and the backup point retention period.
Preferably, the step of determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information includes:
when the backup strategy is a CDP backup strategy, extracting the actual interruption time of the CDP from the actual backup parameter information;
and determining the risk duration of each backup point in the CDP backup strategy according to the actual interruption duration of the CDP.
Preferably, the step of classifying the risk levels of the backup points according to the risk duration to obtain the risk levels corresponding to the backup points includes:
acquiring theoretical backup parameter information corresponding to the CDP backup strategy, and extracting theoretical deviation time from the theoretical backup parameter information;
when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the CDP backup strategy is risk-free;
When the risk time length is larger than the preset threshold value and is not larger than the theoretical deviation time length, determining that the risk level of the current backup point in the CDP backup strategy is low risk;
when the risk time length is longer than the theoretical deviation time length and is not longer than the target deviation time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the CDP backup strategy is a medium risk;
and when the risk time length is longer than the target deviation time length corresponding to the preset multiple, determining that the risk level of the current backup point in the CDP backup strategy is high risk.
Preferably, the step of determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the corresponding risk level includes:
determining the risk duration of the same risk level according to the risk duration of each backup point and the corresponding risk level;
accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level;
correspondingly, the step of determining the data backup standard reaching rate corresponding to the backup strategy according to the accumulated risk duration of each risk level comprises the following steps:
extracting a CDP backup window period from the theoretical parameter information;
And determining the standard reaching rate of the data backup corresponding to the CDP backup strategy according to the accumulated risk duration of each risk level and the CDP backup window period.
In addition, in order to achieve the above object, the present invention also proposes a backup achievement rate determination apparatus including a memory, a processor, and a backup achievement rate determination program stored on the memory and operable on the processor, the backup achievement rate determination program being configured to implement the steps of backup achievement rate determination as described above.
In addition, in order to achieve the above object, the present invention also proposes a storage medium having stored thereon a backup achievement rate determination program which, when executed by a processor, implements the steps of the backup achievement rate determination method as described above.
In addition, in order to achieve the above object, the present invention further provides a backup standard rate determining device, where the backup standard rate determining device includes:
the information acquisition module is used for acquiring the actual backup parameter information of the target equipment;
the time length determining module is used for determining the risk time length of each backup point in the backup strategy according to the actual backup parameter information;
The grading module is used for grading the risk of each backup point according to the risk duration to obtain the risk grade corresponding to each backup point;
the time length determining module is further used for determining the accumulated risk time length of each risk level according to the risk time length of each backup point and the risk level corresponding to each backup point;
and the standard reaching rate determining module is used for determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level.
The invention obtains the actual backup parameter information of the target equipment; determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information; carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point; determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level. According to the method, compared with the prior art, the method relies on IT administrators to manually count the number of backup tasks, the data accuracy is poor, the automatic statistics of the backup risk levels beyond expectations is realized, the accuracy and timeliness of the backup data risk statistics are ensured, the backup plan is timely adjusted according to the risk levels, and the data backup standard reaching rate under each backup strategy and the accumulated risk duration of each risk level are displayed.
Drawings
FIG. 1 is a schematic structural diagram of a backup achievement rate determination device of a hardware operating environment according to an embodiment of the present invention;
FIG. 2 is a flowchart of a first embodiment of a backup achievement rate determination method according to the present invention;
FIG. 3 is a flowchart of a second embodiment of the backup achievement rate determination method of the present invention;
FIG. 4 is a flowchart of a third embodiment of a backup achievement rate determination method according to the present invention;
fig. 5 is a block diagram showing the construction of a first embodiment of the backup achievement rate determination apparatus according to the present invention.
The achievement of the objects, functional features and advantages of the present invention will be further described with reference to the accompanying drawings, in conjunction with the embodiments.
Detailed Description
It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the invention.
Referring to fig. 1, fig. 1 is a schematic structural diagram of a backup standard reaching rate determining device of a hardware running environment according to an embodiment of the present invention.
As shown in fig. 1, the backup achievement rate determination apparatus may include: a processor 1001, such as a central processing unit (Central Processing Unit, CPU), a communication bus 1002, a user interface 1003, a network interface 1004, a memory 1005. Wherein the communication bus 1002 is used to enable connected communication between these components. The user interface 1003 may include a Display (Display), and the optional user interface 1003 may also include a standard wired interface, a wireless interface, and the wired interface for the user interface 1003 may be a USB interface in the present invention. The network interface 1004 may optionally include a standard wired interface, a WIreless interface (e.g., a WIreless-FIdelity (WI-FI) interface). The Memory 1005 may be a high-speed random access Memory (Random Access Memory, RAM) Memory or a stable Memory (NVM), such as a disk Memory. The memory 1005 may also optionally be a storage device separate from the processor 1001 described above.
Those skilled in the art will appreciate that the configuration shown in FIG. 1 is not limiting of the backup compliance rate determination apparatus and may include more or fewer components than shown, or may combine certain components, or may be a different arrangement of components.
As shown in fig. 1, an operating system, a network communication module, a user interface module, and a backup achievement rate determination program may be included in a memory 1005 identified as one type of computer storage medium.
In the backup achievement rate determination apparatus shown in fig. 1, the network interface 1004 is mainly used for connecting to a background server, and performing data communication with the background server; the user interface 1003 is mainly used for connecting user equipment; the backup achievement rate determination apparatus invokes a backup achievement rate determination program stored in the memory 1005 through the processor 1001, and executes the backup achievement rate determination method provided by the embodiment of the present invention.
Based on the hardware structure, the embodiment of the backup standard reaching rate determining method is provided.
Referring to fig. 2, fig. 2 is a flowchart illustrating a first embodiment of a backup achievement rate determination method according to the present invention.
In this embodiment, the backup achievement rate determining method includes the following steps:
Step S10: and acquiring the actual backup parameter information of the target equipment.
It should be noted that, the execution body of the embodiment may be a device with a backup standard rate determining function, and the device may be a computer, a vehicle-mounted computer, a tablet computer, a mobile phone, a notebook, a network server, a backup client, etc., where the embodiment uses the backup client as an illustration, the embodiment does not limit this, and the backup client is used as an example in the embodiment and the following embodiments to illustrate the backup standard rate determining method of the present invention.
It should be appreciated that the target device may be a device that needs to perform an automated statistical backup data qualification rate for risk assessment, and may be a backup client that provides a data recovery service for a user, for example: the backup client may refer to a host performing a backup service, such as: the backup client can backup the data to be backed up to the server, and upload the data to the remote memory or the cloud disk through the server.
In the specific implementation, the enterprise can backup the target data to the remote cloud storage resource library or the cloud disk through the backup client, meanwhile, when the data is backed up, a user can designate different backup catalogs according to each backup point, and when the data is restored, the user can directionally point to one restore catalogs, so that the multi-point backup and one-point restoration can be easily realized.
Step S20: and determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information.
The backup point may refer to a backup of data at a certain time point, or may refer to a set of backups of data at a certain time period. For example: the backup client may have a plurality of backup points when performing the timing backup task, where different backup points correspond to different backup IDs, for example: the timing backup task can set up to perform three times of data timing backup, namely three backup points corresponding to A, B, C respectively. The backup policy may be a backup manner set when the target device executes the backup task, the backup policy may be a timing backup policy or a CDP backup policy, the timing backup policy may refer to a manner of performing data backup at a fixed time interval, and the CDP backup policy may be a manner of performing data backup at an arbitrary time interval.
It is understood that the risk duration may be a duration in which the presence of a risk factor causes a backup delay in performing a backup task. For example: the mysql in the computer backs up data when carrying out a timed backup task, and normally expects to take 20 minutes to complete backup, and the actual time spent on completing backup is 2 hours, and the risk factor can be that malicious software is hidden on a frequently accessed website, an attacker can embed a threat program in a downloadable menu, or send an email related to a take-out order to cause the cache data volume of the computer to become large, so that the backup is delayed.
It should be understood that the actual backup parameter information may be parameter information corresponding to each backup point when performing the timed backup policy, where the parameter information includes: the method comprises the steps of timing information such as backup start time, backup end time, ID of each backup point and the like corresponding to each backup point in a backup task; the actual backup parameter information may also be parameter information corresponding to each backup point when performing the CDP backup policy, where the parameter information includes: and information such as a task break point, an interrupt resume point, an actual interrupt duration and the like in the CDP backup task.
In a specific implementation, the backup client may perform data backup according to a timed backup policy or a CDP backup policy. Determining the risk duration of each backup point in the timing backup strategy or CDP backup strategy according to the actual backup parameter information and the theoretical backup parameter information
Step S30: and carrying out risk classification on each backup point according to the risk duration to obtain the risk grade corresponding to each backup point.
It should be noted that the risk level may be a level classified according to a risk duration corresponding to the backup point, and the risk level may be classified into four categories, i.e. no risk, low risk, medium risk, and high risk.
In a specific implementation, the backup client may perform risk classification on each backup point according to risk duration of each backup point, so as to obtain risk classes corresponding to each backup point.
Step S40: and determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point.
It should be noted that the accumulated risk duration may be a risk duration accumulated according to the risk duration of each backup point corresponding to the risk level, for example: the backup task is defined to have A, B, C backup points, and the corresponding risk duration and risk grade are A: the risk duration is 1 hour, and the risk grade is medium risk; b: the risk duration is 1 hour and 2 minutes, and the risk grade is medium risk; c: the risk duration is 2 hours, the risk grade is high, namely, A and C belong to backup points of the same grade risk, and the risk duration of A and C is accumulated, so that the accumulated risk duration corresponding to the risk in the wind is 2 hours and 2 minutes.
It is understood that the cumulative risk duration of each risk level is the sum of all backup point risk durations of the same level risks.
It should be understood that the backup point accumulated risk duration corresponding to the CDP backup policy may be the backup point accumulated interruption duration corresponding to the CDP backup policy, that is: when the CDP backup task is carried out, the point A is a service connection interruption point, the point B is a service connection recovery point, the CDP backup task can carry out data recovery through the interruption point A, and the CDP backup strategy can store the modification operation of each backup operation in real time through the backup window period. In the CDP backup task, the actual interruption time length is taken as the risk time length, and the time length after the accumulation of the actual interruption time length is taken as the accumulated risk time length, for example: the time of the point A of the break is 2020, 12 months, 17 days and 15 days: 24, the recovery point B time is 15:26 of 17 days of 12 months in 2020, namely the interruption time is 2 minutes, and the accumulated risk time is 2 minutes.
In the specific implementation, the backup client can automatically monitor the data according to the CDP backup strategy, continuously capture and backup the data change, and can accurately backup the data in real time as long as the data change, and the efficiency is higher by adopting the data block level monitoring. And determining the accumulated risk duration according to the recorded accumulated interruption duration. The backup client can also calculate the accumulated risk duration according to the backup start time and the backup end time of each backup point recorded when the data is backed up according to the timed backup strategy.
Step S50: and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level.
It should be noted that, the backup standard rate may be a standard rate corresponding to a loss amount of which the actual lost data amount is within an expected range, where the data may be restored to a certain time point after a disaster or an emergency occurs. The backup standard rate can also be the data backup standard rate calculated according to the accumulated risk duration when the actual backup task is executed. Backup compliance rates may be expressed in terms of percentage values, such as: the standard reaching rate can be 99.66 percent.
It is understood that the backup achievement rate may be used to represent the achievement status of backup data, and the backup achievement rate may be obtained by calculating the failure achievement rate, for example: when the failure rate is 0.34%, the rate is 99.66%.
It should be appreciated that the standard-reaching status may be a standard-reaching status of the data backup determined according to the failure rate and the preset failure rate, for example: when the failure rate is 0.34% and the preset failure rate is 10%, the data backup state is the up-to-standard state.
In the specific implementation, when the backup strategy is a timing backup strategy, accumulating the risk duration of all the same risk classes, obtaining accumulated risk duration, determining the data backup standard rate corresponding to the timing backup strategy according to the accumulated risk duration, and when the backup strategy is a CDP backup strategy, accumulating the interruption duration of all the same risk classes, obtaining accumulated interruption duration, and determining the data backup standard rate corresponding to the CDP backup strategy according to the accumulated interruption duration.
The embodiment obtains the actual backup parameter information of the target equipment; determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information; carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point; determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level. According to the method, the risk grades of the backup points are divided according to the risk time length, the risk grade corresponding to the backup points is obtained, the data backup standard reaching rate corresponding to the backup strategy is determined according to the accumulated risk time length of the risk grade, compared with the prior art, the method relies on IT manager to manually count the number of backup tasks, the data accuracy is poor, the method realizes automatic statistics of backup risk grades beyond expectation, so that accuracy and timeliness of backup data risk statistics are guaranteed, a backup plan is timely adjusted according to the risk grade, and the data backup standard reaching rate under the backup strategy and the accumulated risk time length of the risk grade are displayed.
Referring to fig. 3, fig. 3 is a flowchart illustrating a second embodiment of the backup achievement rate determination method according to the present invention, and the second embodiment of the backup achievement rate determination method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In this embodiment, the step S20 includes:
step S201: and when the backup strategy is a timing backup strategy, acquiring theoretical backup parameter information corresponding to the timing backup strategy.
It should be noted that the timing backup policy may be a backup manner of automatically executing the backup operation according to a set schedule. The theoretical backup parameter information can be parameter information preset when data backup is performed based on a timing backup strategy, and the parameter information can be manually set parameters or parameter information set for ensuring that data loss beyond expectations can be mastered when disaster recovery design is performed for a service system. The actual backup parameter information may be data information generated when the target device performs data backup based on the backup policy, for example: the backup start time, the backup completion time, the backup point number and the like.
Step S202: and extracting the actual backup completion time from the actual backup parameter information, and extracting the theoretical backup completion time from the theoretical backup parameter information.
It should be noted that, the theoretical backup parameter information may include information such as a theoretical backup completion period, a backup point retention period, and an accumulated failure threshold value. The cumulative failure threshold may be expressed in terms of a percentage.
It can be understood that the theoretical backup completion time period may be a backup completion time parameter set for a timed backup task, and may refer to a time period from when the backup plan starts to execute the backup until the backup success time is expected to be intermediate, where the unit is hours.
It should be appreciated that the actual backup completion time may refer to the time it takes to complete a data backup under a timed backup policy, such as: the backup start time is set to be 10:00 a.m. 11 in 2020, and the first backup operation is started according to the setting of the timed backup task until 11:12 in 2020: 10, namely 11 months in 2020, 11 am 10:00 to 11 months 11 days 12 of 2020: the period of 10 is the actual backup completion time.
In a specific implementation, the timing backup policy may set a plurality of timing backup operations, and record the time length for each actual backup completion, for example: setting a timing backup task, wherein task information comprises backup start time, backup times and backup interval duration, namely setting the backup start time to be 10:00 in 11 am in 2020, and starting to execute a first backup operation according to the setting of the timing backup task until 12 in 11 am in 2020: and 10, completing the backup, and successfully generating a backup point A. 1 day after the last backup, namely 11 months in 2020, 12 am 10:00, starting to execute a second backup operation, wherein the backup completion time is 14: and 15, successfully generating the backup point B.
Step S203: and determining the risk duration of each backup point in the timing backup strategy according to the actual backup completion duration and the theoretical backup completion duration.
It should be noted that the risk duration may be a difference between an actual backup completion duration and a theoretical backup completion duration corresponding to each backup point under the timed backup policy. For example: the data recorded by the backup point A can know that the backup starting time is set to be 10:00 a.m. 11 in 2020, and the first backup operation is started according to the setting of the timed backup task until 11:12 in 2020: 10, the backup is completed, namely the backup completion time is 2 hours and 10 minutes, and the preset backup completion time is 2 hours, namely the risk time is 10 minutes.
In a specific implementation, the backup client can determine the risk duration of each backup point according to the theoretical backup parameter information and the actual backup duration corresponding to the timed backup strategy.
Further, in order to improve the data recovery accuracy, step S30 includes: when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the timed backup strategy is risk-free; when the risk time length is larger than the preset threshold value and is not larger than the theoretical backup completion time length, determining that the risk level of the current backup point in the timed backup strategy is low risk; when the risk time length is longer than the theoretical backup completion time length and is not longer than the target backup completion time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the timed backup strategy is a medium risk; and when the risk time length is longer than the target backup completion time length corresponding to the preset multiple, determining that the risk level of the current backup point in the timed backup strategy is high risk.
It should be noted that, the preset threshold may be a duration of time duration of risk that is set manually and less than or equal to 0, and the preset multiple may be a multiple that is set manually, for example: the multiple may be 2, and the target deviation duration may be a theoretical deviation duration of a preset multiple, for example: when the theoretical deviation time is 5 minutes and the preset multiple is 2, the target deviation time is 10 minutes.
It can be understood that no risk may refer to when a disaster occurs, the current data loss amount of the backup point accords with the expected duration, low risk may refer to when a disaster occurs, the current data loss amount of the backup point has a low influence on the backup data, etc., medium risk may refer to when a disaster occurs, the current data loss amount of the backup point has a medium influence on the backup data, and high risk may refer to when a disaster occurs, the current data loss amount of the backup point has a high influence on the backup data.
In a specific implementation, when an IT system is down, the backup client can determine the risk level corresponding to each backup point according to the actual backup completion time length and the theoretical backup completion time length, and when the risk time length is not greater than a preset threshold value, determine that the risk level of the current backup point in the timed backup strategy is risk-free; when the risk time length is larger than the preset threshold value and is not larger than the theoretical backup completion time length, determining that the risk level of the current backup point in the timed backup strategy is low risk; when the risk time length is longer than the theoretical backup completion time length and is not longer than the target backup time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the timed backup strategy is a medium risk; and when the risk time length is larger than the target backup time length corresponding to the preset multiple, determining that the risk level of the current backup point in the timed backup strategy is high risk.
Further, in order to improve accuracy of the standard reaching rate of the backup data, step S40 includes: determining the risk duration of the same risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
It should be noted that the risk duration of each backup point may be a duration obtained by making a difference between an actual backup completion duration and a theoretical backup completion duration when performing data backup based on a timed backup policy.
It can be understood that the accumulated risk duration may be obtained by accumulating the risk duration of each backup point based on four risk levels, namely, no risk level, low risk level, medium risk level and high risk level.
In the specific implementation, when the backup client performs timing data backup, the risk duration of the same risk level is determined according to the risk duration of each backup point and the corresponding risk level; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
Accordingly, in order to timely modify the backup data so that the final backup risk report data is more practical, the step S50 may include: extracting backup point retention period from the theoretical backup parameter information; and determining the standard rate of the data backup corresponding to the timing backup strategy according to the accumulated risk duration of each risk level and the backup point retention period.
It should be noted that the backup point retention period may be the longest retention time of the backup point, and backup point data exceeding the retention period will be deleted.
In a specific implementation, the standard reaching rate of the data backup corresponding to the timing backup strategy can be a ratio between the accumulated risk duration and the backup point retention period, and the standard reaching rate of the data backup showing the timing backup strategy through a percentage value.
The embodiment obtains the actual backup parameter information of the target equipment; when the backup strategy is a timing backup strategy, acquiring theoretical backup parameter information corresponding to the timing backup strategy; extracting actual backup completion time from the actual backup parameter information, and extracting theoretical backup completion time from the theoretical backup parameter information; determining the risk duration of each backup point in the timing backup strategy according to the actual backup completion duration and the theoretical backup completion duration; carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point; determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level. Because the method is based on the timing backup strategy, the risk grades of the backup points are divided according to the risk time length, the risk grade corresponding to the backup points is obtained, the data backup standard reaching rate corresponding to the backup strategy is determined according to the accumulated risk time length of the risk grade, compared with the prior art, the method relies on an IT manager to manually count the number of backup tasks, the data accuracy is poor, the method realizes automatic statistics of the backup risk grade beyond expectations, so that the accuracy and timeliness of backup data risk statistics are ensured, the backup plan is timely adjusted according to the risk grade, and the backup data standard reaching rate under the timing backup strategy and the accumulated risk time length of the risk grades are displayed.
Referring to fig. 4, fig. 4 is a flowchart illustrating a third embodiment of the backup achievement rate determination method according to the present invention, and the third embodiment of the backup achievement rate determination method according to the present invention is proposed based on the first embodiment shown in fig. 2.
In this embodiment, the step S20 includes:
step S201': and when the backup strategy is a CDP backup strategy, extracting the actual interruption time length of the CDP from the actual backup parameter information.
It should be noted that, the CDP backup policy may implement a backup policy for automatically monitoring data, continuously capturing and backing up changes in data, and accurately backing up data to a corresponding CDP disk in real time when the data changes.
It is understood that the CDP actual interrupt duration may be the duration of service interruption out of service, for example: when disaster occurs, the time from the start of service pause caused by downtime of the IT system to the time when the IT system is restored to the operation of each department can be supported, and the time for restoring the service operation corresponds to the interval time.
IT should be appreciated that IT system downtime may be the result of a hacking that causes a backup operation to be modified, resulting in a backup outage.
In a specific implementation, when a computer performs a data backup request with a backup policy being a CDP backup policy, when a disaster occurs according to actual backup parameter information contained in a CDP backup disk, the IT system is down to cause a service pause to start, and the IT system is restored to an interval duration corresponding to the time for supporting each department to operate and restoring service operation.
Step S202': and determining the risk duration of each backup point in the CDP backup strategy according to the actual interruption duration of the CDP.
The backup point may refer to a set of backups of data during a certain period of time when the CDP backup task is performed.
In a specific implementation, the backup client may determine a risk duration of each backup point in the CDP backup policy according to an actual interruption duration of the CDP.
Further, in order to improve the accuracy of the backup data, the step S30 includes: acquiring theoretical backup parameter information corresponding to the CDP backup strategy, and extracting theoretical deviation time from the theoretical backup parameter information; when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the CDP backup strategy is risk-free; when the risk time length is larger than the preset threshold value and is not larger than the theoretical deviation time length, determining that the risk level of the current backup point in the CDP backup strategy is low risk; when the risk time length is longer than the theoretical deviation time length and is not longer than the target deviation time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the CDP backup strategy is a medium risk; and when the risk time length is longer than the target deviation time length corresponding to the preset multiple, determining that the risk level of the current backup point in the CDP backup strategy is high risk.
It should be noted that, the theoretical deviation duration may refer to a duration of allowing interruption preset by the backup client without affecting data accuracy. For example: the data recovery time can be accurate to 1 second before 1 second. The preset threshold may be a duration of time of risk duration of less than or equal to 0, and the preset multiple may be a multiple of time duration of human setting, for example: the multiple may be 2, and the target deviation duration may be a theoretical deviation duration of a preset multiple, for example: when the theoretical deviation time is 5 minutes and the preset multiple is 2, the target deviation time is 10 minutes.
It can be understood that no risk may refer to when a disaster occurs, the current data loss amount of the backup point accords with the expected duration, low risk may refer to when a disaster occurs, the current data loss amount of the backup point has a low influence on the backup data, etc., medium risk may refer to when a disaster occurs, the current data loss amount of the backup point has a medium influence on the backup data, and high risk may refer to when a disaster occurs, the current data loss amount of the backup point has a high influence on the backup data.
In a specific implementation, when an IT system is down, the backup client can determine the risk level corresponding to each backup point according to the actual interruption time length and the theoretical deviation time length, and when the risk time length is not greater than a preset threshold value, determine that the risk level of the current backup point in the CDP backup strategy is risk-free; when the risk time length is larger than the preset threshold value and is not larger than the theoretical deviation time length, determining that the risk level of the current backup point in the CDP backup strategy is low risk; when the risk time length is longer than the theoretical deviation time length and is not longer than the target deviation time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the CDP backup strategy is a medium risk; and when the risk time length is longer than the target deviation time length corresponding to the preset multiple, determining that the risk level of the current backup point in the CDP backup strategy is high risk.
Further, in order to improve accuracy of the standard reaching rate of the backup data, the step S40 includes: determining the risk duration of the same risk level according to the risk duration of each backup point and the corresponding risk level; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
It should be noted that the risk duration of each backup point may be an actual interruption duration when performing data backup based on the CDP backup policy.
It can be understood that the accumulated risk duration may be accumulated to obtain an accumulated interruption duration based on four risk levels, namely, a no risk level, a low risk level, a medium risk level and a high risk level, and the accumulated interruption duration is taken as the accumulated risk duration.
In the specific implementation, when the backup client performs real-time data backup, the risk duration of the same risk level is determined according to the risk duration of each backup point and the corresponding risk level; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
Accordingly, in order to timely correct the backup data so that the final backup risk report data is more practical, the step S50 may include: extracting a CDP backup window period from the theoretical parameter information; and determining the standard reaching rate of the data backup corresponding to the CDP backup strategy according to the accumulated risk duration of each risk level and the CDP backup window period.
It should be noted that, the preset CDP backup window period may refer to a period of time for continuously monitoring and backing up data backup, and may be any point in time for recovering data to the period of time, where the period of time is referred to as a CDP backup window period.
In a specific implementation, the standard reaching rate of the data backup corresponding to the CDP backup policy may be a ratio between the accumulated interrupt duration and the preset CDP backup window period, and the standard reaching rate of the data backup displaying the CDP backup policy through a percentage value.
According to the embodiment, theoretical backup parameter information corresponding to a backup strategy adopted by the target equipment is obtained, and actual backup parameter information of the target equipment is obtained; when the backup strategy is a CDP backup strategy, extracting the actual interruption time of the CDP from the actual backup parameter information, and extracting the theoretical deviation time from the theoretical backup parameter information; determining the risk duration of each backup point in the CDP backup strategy according to the CDP actual interruption duration and the theoretical deviation duration; carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point; determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level. Because the method is based on the CDP backup strategy, the risk grades of the backup points are divided according to the risk time length, the risk grade corresponding to the backup points is obtained, the data backup standard reaching rate corresponding to the backup strategy is determined according to the accumulated risk time length of the risk grade, compared with the prior art, the method relies on an IT manager to manually count the number of backup tasks, the data accuracy is poor, the method realizes automatic statistics of backup risk grades beyond expectations, so that the accuracy and timeliness of backup data risk statistics are ensured, the backup plan is timely adjusted according to the risk grade, and the standard reaching rate under the CDP backup strategy and the accumulated risk time length of the risk grades are displayed.
In addition, the embodiment of the invention also provides a storage medium, wherein a backup standard reaching rate determining program is stored on the storage medium, and the backup standard reaching rate determining program realizes the steps of the backup standard reaching rate determining method when being executed by a processor.
Referring to fig. 5, fig. 5 is a block diagram showing the structure of a first embodiment of the backup achievement rate determination apparatus according to the present invention.
As shown in fig. 5, the backup standard reaching rate determining device provided by the embodiment of the invention includes:
an information acquisition module 10, configured to acquire actual backup parameter information of a target device;
the duration determining module 20 is configured to determine a risk duration of each backup point in the backup policy according to the actual backup parameter information;
the grading module 30 is configured to grade risk of each backup point according to the risk duration, and obtain a risk grade corresponding to each backup point;
the time length determining module 10 is further configured to determine an accumulated risk time length of each risk level according to the risk time length of each backup point and the risk level corresponding to each backup point;
and the standard reaching rate determining module 40 is configured to determine the standard reaching rate of the data backup corresponding to the backup policy according to the accumulated risk duration of each risk level.
The embodiment obtains the actual backup parameter information of the target equipment; determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information; carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point; determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level. According to the method, the risk grades of the backup points are divided according to the risk time length, the risk grade corresponding to the backup points is obtained, the data backup standard reaching rate corresponding to the backup strategy is determined according to the accumulated risk time length of the risk grade, compared with the prior art, the method relies on IT manager to manually count the number of backup tasks, the data accuracy is poor, the method realizes automatic statistics of backup risk grades beyond expectation, so that accuracy and timeliness of backup data risk statistics are guaranteed, a backup plan is timely adjusted according to the risk grade, and the data backup standard reaching rate under the backup strategy and the accumulated risk time length of the risk grade are displayed.
Further, the duration determining module 20 is further configured to obtain theoretical backup parameter information corresponding to the timing backup policy when the backup policy is the timing backup policy; extracting actual backup completion time from the actual backup parameter information, and extracting theoretical backup completion time from the theoretical backup parameter information; and determining the risk duration of each backup point in the timing backup strategy according to the actual backup completion duration and the theoretical backup completion duration.
Further, the grading module 30 is further configured to determine that the risk grade of the current backup point in the timed backup policy is risk-free when the risk duration is not greater than a preset threshold; when the risk time length is larger than the preset threshold value and is not larger than the theoretical backup completion time length, determining that the risk level of the current backup point in the timed backup strategy is low risk; when the risk time length is longer than the theoretical backup completion time length and is not longer than the target backup completion time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the timed backup strategy is a medium risk; and when the risk time length is longer than the target backup completion time length corresponding to the preset multiple, determining that the risk level of the current backup point in the timed backup strategy is high risk.
Further, the duration determining module 20 is further configured to determine a risk duration of the same risk level according to the risk duration of each backup point and the risk level corresponding to each backup point; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
Further, the standard reaching rate determining module 40 is further configured to extract a backup point retention period from the theoretical backup parameter information; and determining the standard rate of the data backup corresponding to the timing backup strategy according to the accumulated risk duration of each risk level and the backup point retention period.
Further, the duration determining module 20 is further configured to extract an actual interruption duration of the CDP from the actual backup parameter information when the backup policy is a CDP backup policy; and determining the risk duration of each backup point in the CDP backup strategy according to the actual interruption duration of the CDP.
Further, the grading module 30 is further configured to obtain theoretical backup parameter information corresponding to the CDP backup policy, and extract theoretical deviation duration from the theoretical backup parameter information; when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the CDP backup strategy is risk-free; when the risk time length is larger than the preset threshold value and is not larger than the theoretical deviation time length, determining that the risk level of the current backup point in the CDP backup strategy is low risk; when the risk time length is longer than the theoretical deviation time length and is not longer than the target deviation time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the CDP backup strategy is a medium risk; and when the risk time length is longer than the target deviation time length corresponding to the preset multiple, determining that the risk level of the current backup point in the CDP backup strategy is high risk.
Further, the duration determining module 20 is further configured to determine a risk duration of the same risk level according to the risk duration of each backup point and the corresponding risk level; and accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level.
Further, the achievement rate determining module 40 is further configured to extract a CDP backup window period from the theoretical parameter information; and determining the standard reaching rate of the data backup corresponding to the CDP backup strategy according to the accumulated risk duration of each risk level and the CDP backup window period.
In addition, the embodiment of the invention also provides a storage medium, wherein a backup standard reaching rate determining program is stored on the storage medium, and the backup standard reaching rate determining program realizes the steps of the backup standard reaching rate determining method when being executed by a processor.
It should be understood that the foregoing is illustrative only and is not limiting, and that in specific applications, those skilled in the art may set the invention as desired, and the invention is not limited thereto.
It should be noted that the above-described working procedure is merely illustrative, and does not limit the scope of the present invention, and in practical application, a person skilled in the art may select part or all of them according to actual needs to achieve the purpose of the embodiment, which is not limited herein.
In addition, technical details not described in detail in this embodiment may refer to the backup standard rate determining method provided in any embodiment of the present invention, which is not described herein.
It should be noted that, in this document, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or system that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or system. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article, or system that comprises the element.
The foregoing embodiment numbers of the present invention are merely for the purpose of description, and do not represent the advantages or disadvantages of the embodiments. In the unit claims enumerating several means, several of these means may be embodied by one and the same item of hardware. The use of the terms first, second, third, etc. do not denote any order, but rather the terms first, second, third, etc. are used to interpret the terms as names.
From the above description of the embodiments, it will be clear to those skilled in the art that the above-described embodiment method may be implemented by means of software plus a necessary general hardware platform, but of course may also be implemented by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. read only memory mirror (Read Only Memory image, ROM)/random access memory (Random Access Memory, RAM), magnetic disk, optical disk), comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, an air conditioner, or a network device, etc.) to perform the method according to the embodiments of the present invention.
The foregoing description is only of the preferred embodiments of the present invention, and is not intended to limit the scope of the invention, but rather is intended to cover any equivalents of the structures or equivalent processes disclosed herein or in the alternative, which may be employed directly or indirectly in other related arts.
Claims (10)
1. The backup standard reaching rate determining method is characterized by comprising the following steps of:
acquiring actual backup parameter information of target equipment;
determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information, wherein the risk duration is the duration of backup delay caused by the existence of risk factors when executing the backup task;
carrying out risk grade division on each backup point according to the risk duration to obtain a risk grade corresponding to each backup point;
determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point, wherein the accumulated risk duration is the risk duration accumulated according to the risk duration of each backup point corresponding to the risk level;
and determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level, wherein the standard reaching rate of the data backup is determined according to the ratio between the accumulated risk duration and the backup point retention period.
2. The backup achievement rate determining method according to claim 1, wherein the step of determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information comprises:
When the backup strategy is a timing backup strategy, acquiring theoretical backup parameter information corresponding to the timing backup strategy;
extracting actual backup completion time from the actual backup parameter information, and extracting theoretical backup completion time from the theoretical backup parameter information;
and determining the risk duration of each backup point in the timing backup strategy according to the actual backup completion duration and the theoretical backup completion duration.
3. The backup achievement rate determining method according to claim 2, wherein the step of classifying the risk levels of the backup points according to the risk duration to obtain the risk levels corresponding to the backup points comprises:
when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the timed backup strategy is risk-free;
when the risk time length is larger than the preset threshold value and is not larger than the theoretical backup completion time length, determining that the risk level of the current backup point in the timed backup strategy is low risk;
when the risk time length is longer than the theoretical backup completion time length and is not longer than the target backup completion time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the timed backup strategy is a medium risk;
And when the risk time length is longer than the target backup completion time length corresponding to the preset multiple, determining that the risk level of the current backup point in the timed backup strategy is high risk.
4. The backup achievement rate determining method of claim 3, wherein the step of determining the accumulated risk duration of each risk level according to the risk duration of each backup point and the risk level corresponding to each backup point comprises:
determining the risk duration of the same risk level according to the risk duration of each backup point and the risk level corresponding to each backup point;
accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level;
correspondingly, the step of determining the data backup standard reaching rate corresponding to the backup strategy according to the accumulated risk duration of each risk level comprises the following steps:
extracting backup point retention period from the theoretical backup parameter information;
and determining the standard rate of the data backup corresponding to the timing backup strategy according to the accumulated risk duration of each risk level and the backup point retention period.
5. The backup achievement rate determining method according to claim 1, wherein the step of determining the risk duration of each backup point in the backup strategy according to the actual backup parameter information comprises:
When the backup strategy is a CDP backup strategy, extracting the actual interruption time of the CDP from the actual backup parameter information;
and determining the risk duration of each backup point in the CDP backup strategy according to the actual interruption duration of the CDP.
6. The backup achievement rate determining method according to claim 5, wherein the step of classifying the risk levels of the backup points according to the risk duration to obtain the risk levels corresponding to the backup points comprises:
acquiring theoretical backup parameter information corresponding to the CDP backup strategy, and extracting theoretical deviation time from the theoretical backup parameter information;
when the risk duration is not greater than a preset threshold value, determining that the risk level of the current backup point in the CDP backup strategy is risk-free;
when the risk time length is larger than the preset threshold value and is not larger than the theoretical deviation time length, determining that the risk level of the current backup point in the CDP backup strategy is low risk;
when the risk time length is longer than the theoretical deviation time length and is not longer than the target deviation time length corresponding to the preset multiple, determining that the risk grade of the current backup point in the CDP backup strategy is a medium risk;
and when the risk time length is longer than the target deviation time length corresponding to the preset multiple, determining that the risk level of the current backup point in the CDP backup strategy is high risk.
7. The backup compliance rate determination method according to claim 6, wherein the step of determining the cumulative risk duration for each risk level based on the risk duration for each backup point and the corresponding risk level comprises:
determining the risk duration of the same risk level according to the risk duration of each backup point and the corresponding risk level;
accumulating the risk duration of the same risk level to obtain accumulated risk duration of each risk level;
correspondingly, the step of determining the data backup standard reaching rate corresponding to the backup strategy according to the accumulated risk duration of each risk level comprises the following steps:
extracting a CDP backup window period from the theoretical backup parameter information;
and determining the standard reaching rate of the data backup corresponding to the CDP backup strategy according to the accumulated risk duration of each risk level and the CDP backup window period.
8. A backup compliance rate determination apparatus, the backup compliance rate determination apparatus comprising: a memory, a processor, and a backup achievement rate determination program stored on the memory and executable on the processor, the backup achievement rate determination program, when executed by the processor, implementing the steps of the backup achievement rate determination method of any one of claims 1 to 7.
9. A storage medium, wherein a backup achievement rate determination program is stored on the storage medium, and the backup achievement rate determination program, when executed by a processor, implements the steps of the backup achievement rate determination method according to any one of claims 1 to 7.
10. The utility model provides a backup standard rate determining device which characterized in that, backup standard rate determining device includes:
the information acquisition module is used for acquiring the actual backup parameter information of the target equipment;
the time length determining module is used for determining the risk time length of each backup point in the backup strategy according to the actual backup parameter information, wherein the risk time length is the time length of the backup delay caused by the risk factors when the backup task is executed;
the grading module is used for grading the risk of each backup point according to the risk duration to obtain the risk grade corresponding to each backup point;
the time length determining module is further configured to determine an accumulated risk time length of each risk level according to the risk time length of each backup point and the risk level corresponding to each backup point, where the accumulated risk time length is a risk time length accumulated according to the risk time length of each backup point corresponding to the risk level;
and the standard reaching rate determining module is used for determining the standard reaching rate of the data backup corresponding to the backup strategy according to the accumulated risk duration of each risk level, wherein the standard reaching rate of the data backup is determined according to the ratio between the accumulated risk duration and the backup point retention period.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB9225210D0 (en) * | 1992-12-02 | 1993-01-20 | Ibm | Backup method for a computer |
| CN103530200A (en) * | 2012-07-04 | 2014-01-22 | 腾讯科技（深圳）有限公司 | Server hot backup system and method |
| CN103886384A (en) * | 2012-12-20 | 2014-06-25 | 伊姆西公司 | Data protection method and system |
| CN107066353A (en) * | 2017-03-28 | 2017-08-18 | 深圳市科力锐科技有限公司 | Data application method and data consistency component in data backup procedure |
| CN111724069A (en) * | 2020-06-22 | 2020-09-29 | 百度在线网络技术（北京）有限公司 | Method, apparatus, device and storage medium for processing data |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11422898B2 (en) * | 2016-03-25 | 2022-08-23 | Netapp, Inc. | Efficient creation of multiple retention period based representations of a dataset backup |
| US11899543B2 (en) * | 2017-11-27 | 2024-02-13 | Nutanix, Inc. | High-frequency virtual machine restore points |
-
2020
- 2020-12-24 CN CN202011557676.2A patent/CN112612645B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB9225210D0 (en) * | 1992-12-02 | 1993-01-20 | Ibm | Backup method for a computer |
| CN103530200A (en) * | 2012-07-04 | 2014-01-22 | 腾讯科技（深圳）有限公司 | Server hot backup system and method |
| CN103886384A (en) * | 2012-12-20 | 2014-06-25 | 伊姆西公司 | Data protection method and system |
| CN107066353A (en) * | 2017-03-28 | 2017-08-18 | 深圳市科力锐科技有限公司 | Data application method and data consistency component in data backup procedure |
| CN111724069A (en) * | 2020-06-22 | 2020-09-29 | 百度在线网络技术（北京）有限公司 | Method, apparatus, device and storage medium for processing data |
Non-Patent Citations (2)
| Title |
|---|
| Service system design for managing interruption risks: A backup-service risk-mitigation strategy;Amir Ahmadi-Javid 等;《European Journal of Operational Research》;20190416;第417-431页 * |
| 基于NAS架构的数据容灾备份系统的设计与实现;叶虹余;《软件工程》;20180305;第44-46页 * |
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