CN103617098B - Intelligent backup method and intelligent backup system based on data variation - Google Patents
Intelligent backup method and intelligent backup system based on data variation Download PDFInfo
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Abstract
The present invention relates to a kind of intelligent backup method based on data variation and intelligent backup system, including backup client and backup server end, described backup client includes back-up device and data volume collection device, described backup server end includes backup dispatching device, data volume analytical equipment and backup policy device, and described backup policy device, backup dispatching device, back-up device, data volume collection device, data volume analytical equipment, backup policy device are sequentially connected.Compared with prior art, the present invention has adjust automatically BACKUP TIME, so as to when data increase and accelerate, can more frequently Backup Data, the advantages of with the security for improving data.
Description
Technical field
The present invention relates to a kind of intelligent backup technology, more particularly, to a kind of intelligent backup method based on data variation and
Intelligent backup system.
Background technology
Backup is that one kind prevents loss of data, improves the important means of data safety, substantially in the middle of IT application,
It is a kind of technological means of popularization.Generally all it is that backup is performed according to the backup policy for pre-setting automatically in backup scenario,
Such case is back-up plan, and the time interval between two back-up plans, then it is backup window.
In current IT trend, with the development and popularization of IT business system, data growth rate clearly, with for the moment
Between section, if data increase more, but backup window is still constant, then mean that the data volume being not backed up is increasing, so as to drop
The low security of data.But conventional backup plan is often, according to the set time for pre-setting, after the time reaches, to perform
Backup, the change that data increase can not play a part of triggering adjustment to back-up plan.
The content of the invention
The purpose of the present invention is exactly to provide a kind of based on data variation for the defect for overcoming above-mentioned prior art to exist
Intelligent backup method and intelligent backup system, record data backup amount each time, so as to compare the variation tendency of data, according to
According to the variation tendency of data, while according to the Tendency Strategy for pre-setting, adjust automatically BACKUP TIME becomes so as to increase in data
When fast, can more frequently Backup Data, to improve the security of data.
The purpose of the present invention can be achieved through the following technical solutions：
A kind of intelligent backup method based on data variation, it is characterised in that comprise the following steps：
1) the backup policy device of backup server carries out backup policy inspection；
2) whether inspection program trigger condition meets backup policy condition, is performed when qualified back-up plan is detected
During condition, step 3 is performed), otherwise return to step 1)；
3) send backup to the backup dispatching device of backup server and perform request, perform step 4) and 5)；
4) after completing to send, return to step 1)；
5) the backup dispatching device of backup server notifies that the back-up device of backup client performs backup；
6) back-up device of backup client receives backup and performs order；
7) data situation is checked, if without data variation, performing step 9), if data variation, then hold
Row step 8)；
8) incremental backup is performed to the data for changing；
9) data backup is completed, and the data volume of change is sent to the data volume collection device of backup client；
10) the data volume collection device of backup client recorded data volume and collect dress after the data volume for receiving change
In putting, and the data volume of change is sent to the data volume analytical equipment at backup server end simultaneously；
11) data volume that the backup client that the data volume analytical equipment at backup services end is received is collected；
12) all changes data values after the data volume that will be received is analyzed with last time com-parison and analysis add up and save；
13) check whether and meet delta data amount analysis triggering cycle-time requirements, when analytical cycle condition is met, hold
Row step 14), otherwise exit；
14) data volume analytical equipment performs data volume analysis, obtains data volume growth trend analysis result；
15) analysis result is sent to the backup policy device of backup server；
16) the backup policy device at backup services end receives data volume growth trend analysis result；
17) check whether the delta data amount of backup client exceedes threshold value, if it exceeds then performing step 13), otherwise
Exit；
18) plan for adjustment trigger condition, completes a backup tasks；
19) return to step 1).
A kind of intelligent backup system of the intelligent backup method based on data variation, it is characterised in that including backup client
End and backup server end, described backup client include back-up device and data volume collection device, described backup services
Device end includes backup dispatching device, data volume analytical equipment and backup policy device, described backup policy device, backup scheduling
Device, back-up device, data volume collection device, data volume analytical equipment, backup policy device are sequentially connected.
It is responsible for backup policy setting, client data amount analysis of trend and backup and performs in described backup server end
Scheduling.
Described backup client is responsible for responding the backup command that backup server end is initiated, and the data that will be not backed up and
When backup on backup storage device.
Described backup server end adjusts backup policy in time according to the variation tendency of backup client delta data amount,
And backup instruction is initiated to backup client from the backup policy device clocked flip backup dispatching device at backup server end, it is real
The effect that now the carrying out of the variation tendency situation intelligence according to data volume is backed up.
Described backup policy device is used to set：
(1) the growth trend cycle of backup client, including weekly and monthly；
(2) when the data volume change of backup client shows a rising trend, and growth ratio is when being more than setup parameter, automatic to touch
Send out specific the back-up plan time；
(3) it is automatic to touch when the data volume change of backup client is in reduction trend, and when reducing ratio more than setup parameter
Send out specific the back-up plan time；
(4) the back-up plan cycle, including weekly, daily and per hour.
Described data volume analytical equipment is used to analyze：
(1) the data variation amount of the data volume analytical equipment from backup client every time is collected, and is saved；
(2) the growth trend cycle set according to backup policy, growth trend analysis is performed；
(3) growth trend analysis result is returned into backup policy device.
Network connection is set up by Ethernet between described backup client and backup server end.
Compared with prior art, the present invention has advantages below：
(1) it is capable of achieving based on when adjusting the backup of backup tasks to the judgement of the variation tendency result of client data amount
Between plan, accelerate frequency of your backups, play carries out backup protection to the data of new change in time, improves the security of data；
(2) avoid in the case where data quickly change and expand, because BACKUP TIME plan it is unreasonable caused by back up
Window is excessive, and the data after a large amount of changes do not arrive to back up in time and lose, and reduces the quantity system that data do not obtain backup protection
Number；
(3) trend that can be changed according to data volume, by the BACKUP TIME plan of adjustment backup tasks in time, reduces standby
Part frequency, so that the host resource of backup client is discharged, so as to avoid causing frequently host resource because frequency of your backups is too fast
Use, reasonable designing backup period planning.
Brief description of the drawings
Fig. 1 is the schematic flow sheet of backup method of the present invention；
Fig. 2 is the structural representation of standby system of the present invention.
Specific embodiment
The present invention is described in detail with specific embodiment below in conjunction with the accompanying drawings.
Embodiment
As shown in Fig. 2 a kind of intelligent backup system based on data variation, including backup client 1 and backup server
End 2, sets up network connection by Ethernet between the two, and backup client 1 includes back-up device 11 and data volume collection device
12, backup server end 2 includes backup dispatching device 21, data volume analytical equipment 22 and backup policy device 23
It is responsible for backup policy setting, client data amount analysis of trend and backup and performs scheduling in backup server end 2；
Backup client 1 is responsible for the backup command that response backup server end is initiated, and the data that will be not backed up are backed up in time
Onto backup storage device；
Backup server end 2 adjusts backup policy in time according to the variation tendency of backup client delta data amount, and by
The backup policy device clocked flip backup dispatching device at backup server end initiates backup instruction to backup client, realizes root
According to the effect that the carrying out of the variation tendency situation intelligence of data volume is backed up.
As shown in figure 1, a kind of intelligent backup method based on data variation, comprises the following steps：
1) the backup policy device of backup server carries out backup policy inspection；
2) whether inspection program trigger condition meets backup policy condition, is performed when qualified back-up plan is detected
During condition, step 3 is performed), otherwise return to step 1)；
3) send backup to the backup dispatching device of backup server and perform request, perform step 4) and 5)；
4) after completing to send, return to step 1)；
5) the backup dispatching device of backup server notifies that the back-up device of backup client performs backup；
6) back-up device of backup client receives backup and performs order；
7) data situation is checked, if without data variation, performing step 9), if data variation, then hold
Row step 8)；
8) incremental backup is performed to the data for changing；
9) data backup is completed, and the data volume of change is sent to the data volume collection device of backup client；
10) the data volume collection device of backup client recorded data volume and collect dress after the data volume for receiving change
In putting, and the data volume of change is sent to the data volume analytical equipment at backup server end simultaneously；
11) data volume that the backup client that the data volume analytical equipment at backup services end is received is collected；
12) all changes data values after the data volume that will be received is analyzed with last time com-parison and analysis add up and save；
13) check whether and meet delta data amount analysis triggering cycle-time requirements, when analytical cycle condition is met, hold
Row step 14), otherwise exit；
14) data volume analytical equipment performs data volume analysis, obtains data volume growth trend analysis result；
15) analysis result is sent to the backup policy device of backup server；
16) the backup policy device at backup services end receives data volume growth trend analysis result；
17) check whether the delta data amount of backup client exceedes threshold value, if it exceeds then performing step 13), otherwise
Exit；
18) plan for adjustment trigger condition, completes a backup tasks；
19) return to step 1).
Embodiment is specially：
1) backup tasks Taskl is created, data source Sourcel is selected on backup client A, by backup client A
Sourcel back up to backup server end B；
2) backup policy is set for backup tasks Taskl on the B of backup server end, backup policy content is：Addition
One back-up plan of complete type of backup, planned start time is monthly No. 1 evening 20：00；One incremental backup class of addition
The back-up plan of type, plan Starting Executing Time is every night 20：00；
3) the data growth trend analytical cycle plan of backup client A, program content are set on the B of backup server end
For：On every Wendesdays evening 19：00 point performs the analysis of client delta data amount, and when delta data amount is more than 10GB weekly, adjustment increases
The execution frequency for measuring backup is to perform once for every eight hours；When delta data amount is less than 100MB weekly, incremental backup class is adjusted
The execution frequency of the back-up plan of type is evening 20 on every Saturdays：00 performs；
4) backup server end B inspects periodically the backup policy of backup tasks Taskl, and class is backed up completely when detecting to meet
When the back-up plan of type performs condition, complete backup instruction is initiated to backup client A；Meet incremental backup type when detecting
Back-up plan perform condition when, to backup client A initiate incremental backup instruct；Bar is triggered when any back-up plan is not met
During part, continue step 4)；
5) after the back-up device of backup client A receives backup instruction, the data source specified by task task l is checked
The Last Backup time of Sourcel and data situation, if without Last Backup record, being converted to execution and backing up completely
The backup of type；If Last Backup record, then the situation of change of data is checked, if data variation, then to change
Data perform incremental backup, while the data volume of change is sent to data volume by back-up device after data backup is completed collects dress
Put；
6) the data volume collection device of backup client A is after delta data amount is received, in recorded collection device, and together
When the data volume of change is sent to the data volume analytical equipment of backup server end B；
7) data volume and last time that the backup client A that the data volume analytical equipment of backup server end B will be received is collected
All changes data values after com-parison and analysis analysis are cumulative to be saved, and is checked whether and met delta data amount analytical cycle
Time conditions, when analytical cycle condition is met, perform data volume and analyze, then again by analysis result by data volume analytical equipment
It is sent to the backup policy device of backup server end B；
8) after backup policy device receives analysis result, whether the delta data amount of backup client is checked more than 10GB,
If it exceeds the execution frequency that 10GB then adjusts the incremental backup plan in backup policy is to perform once for every eight hours；If become
Change data volume be less than 100MB, then adjust backup policy in incremental backup plan execution frequency on every Saturdays evening 20：00 holds
OK；
9) step 4 is continued executing with).
Claims (5)
1. a kind of intelligent backup method based on data variation, it is characterised in that comprise the following steps：
1) the backup policy device of backup server carries out backup policy inspection；
2) whether inspection program trigger condition meets backup policy condition, when qualified back-up plan execution is detected,
Perform step 3), otherwise return to step 1)；
3) send backup to the backup dispatching device of backup server and perform request, perform step 4) and 5)；
4) after completing to send, return to step 1)；
5) the backup dispatching device of backup server notifies that the back-up device of backup client performs backup；
6) back-up device of backup client receives backup and performs order；
7) data situation is checked, if without data variation, performing step 9), if data variation, then perform step
It is rapid 8)；
8) incremental backup is performed to the data for changing；
9) data backup is completed, and the data volume of change is sent to the data volume collection device of backup client；
10) the data volume collection device of backup client is after the data volume for receiving change, in recorded data volume collection device,
And the data volume of change is sent to the data volume analytical equipment at backup server end simultaneously；
11) the data volume analytical equipment at backup services end receives the data volume of backup client collection；
12) all changes data values after the data volume that will be received and last time com-parison and analysis are cumulative saves；
13) check whether and meet data volume growth trend analytical cycle time conditions, when analytical cycle condition is met, perform step
It is rapid 14), otherwise exit；
14) data volume analytical equipment performs data volume analysis, obtains data volume growth trend analysis result；
15) analysis result is sent to the backup policy device of backup server；
16) the backup policy device at backup services end receives data volume growth trend analysis result；
17) check whether the delta data amount of backup client exceedes threshold value, if it exceeds then performing step 18), otherwise exit；
18) plan for adjustment trigger condition, completes a backup tasks；
19) return to step 1)；
Described backup server end adjusts backup policy in time according to the variation tendency of backup client delta data amount, and by
The backup policy device clocked flip backup dispatching device at backup server end initiates backup instruction to backup client, realizes
The effect that the carrying out of the variation tendency situation intelligence according to data volume is backed up；
Described backup policy device is used to set：
(1) the data volume growth trend analytical cycle of backup client, including weekly and monthly；
(2) when backup client data volume change show a rising trend, and growth ratio be more than setup parameter when, accelerate backup frequency
Rate reduces the back-up plan cycle；
(3) when the data volume change of backup client is in reduction trend, and when reducing ratio more than setup parameter, backup frequency is reduced
Rate or increase back-up plan cycle；
(4) the back-up plan cycle, including weekly, daily and per hour；
Described data volume analytical equipment is used to analyze：
(1) the data variation amount of the data volume collection device from backup client every time is collected, and is saved；
(2) the data volume growth trend analytical cycle set according to backup policy, performs growth trend analysis；
(3) growth trend analysis result is returned into backup policy device.
2. it is a kind of implement claim 1 described in the intelligent backup method based on data variation intelligent backup system, its feature
It is, including backup client and backup server end that described backup client includes that back-up device and data volume collect dress
Put, described backup server end includes backup dispatching device, data volume analytical equipment and backup policy device, described backup
Policy device, backup dispatching device, back-up device, data volume collection device, data volume analytical equipment, backup policy device are successively
Connection.
3. intelligent backup system according to claim 2, described backup server end be responsible for backup policy set, client
End data amount analysis of trend and backup perform scheduling.
4. intelligent backup system according to claim 2, described backup client is responsible for response backup server end hair
The backup command for rising, and the data that will be not backed up are backuped on backup storage device in time.
5. intelligent backup system according to claim 2, passes through between described backup client and backup server end
Ethernet sets up network connection.
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| CN105989006A (en) * | 2015-01-27 | 2016-10-05 | 中芯国际集成电路制造(上海)有限公司 | Data migration method and device |
| CN104765657B (en) * | 2015-04-27 | 2019-04-16 | Oppo广东移动通信有限公司 | A kind of data back up method, data reconstruction method and relevant apparatus |
| US10387264B1 (en) * | 2015-06-25 | 2019-08-20 | EMC IP Holding Company LLC | Initiating backups based on data changes |
| CN112068992A (en) * | 2016-10-28 | 2020-12-11 | 华为技术有限公司 | Remote data copying method, storage device and storage system |
| CN106776117B (en) * | 2016-11-16 | 2021-06-15 | 努比亚技术有限公司 | Data backup device and method |
| EP3538998B1 (en) * | 2017-02-14 | 2021-01-13 | Huawei Technologies Co., Ltd. | System and method for backup scheduling |
| CN107977288A (en) * | 2017-12-15 | 2018-05-01 | 安徽长泰信息安全服务有限公司 | A kind of high efficiency incremental backup system and method easy to recover |
| CN111209267B (en) * | 2019-12-23 | 2024-01-30 | 中国建设银行股份有限公司 | Information providing method, system, device and storage medium |
| CN111382013A (en) * | 2020-03-20 | 2020-07-07 | 平安科技（深圳）有限公司 | Method and device for automatically adjusting initiation time of timing backup operation |
| CN111752756B (en) * | 2020-06-24 | 2021-02-19 | 厦门靠谱云股份有限公司 | Method for setting database backup strategy through autonomous learning |
| CN112286734B (en) * | 2020-12-24 | 2021-06-11 | 深圳市科力锐科技有限公司 | Backup task execution method, device, equipment and storage medium |
| CN117149527B (en) * | 2023-10-31 | 2024-03-08 | 江苏华鲲振宇智能科技有限责任公司 | System and method for backing up and recovering server data |
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