CN102629224A - Method and device of integrated data disaster recovery based on cloud platform - Google Patents
Method and device of integrated data disaster recovery based on cloud platform Download PDFInfo
- Publication number
- CN102629224A CN102629224A CN2012101259438A CN201210125943A CN102629224A CN 102629224 A CN102629224 A CN 102629224A CN 2012101259438 A CN2012101259438 A CN 2012101259438A CN 201210125943 A CN201210125943 A CN 201210125943A CN 102629224 A CN102629224 A CN 102629224A
- Authority
- CN
- China
- Prior art keywords
- data
- disaster tolerance
- data disaster
- backup
- snapshot
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000011084 recovery Methods 0.000 title claims abstract description 30
- 238000000034 method Methods 0.000 title claims abstract description 26
- 238000012544 monitoring process Methods 0.000 claims abstract description 11
- 238000005516 engineering process Methods 0.000 claims abstract description 9
- 230000004044 response Effects 0.000 claims abstract description 9
- 230000010354 integration Effects 0.000 claims description 15
- 230000008569 process Effects 0.000 claims description 8
- 230000006870 function Effects 0.000 claims description 4
- 238000005457 optimization Methods 0.000 claims description 4
- 230000005012 migration Effects 0.000 claims description 3
- 238000013508 migration Methods 0.000 claims description 3
- 230000003362 replicative effect Effects 0.000 claims 1
- 230000001360 synchronised effect Effects 0.000 claims 1
- 238000012545 processing Methods 0.000 abstract description 4
- 230000002159 abnormal effect Effects 0.000 abstract 1
- 238000010586 diagram Methods 0.000 description 6
- 238000011161 development Methods 0.000 description 4
- 238000013461 design Methods 0.000 description 3
- 230000008859 change Effects 0.000 description 2
- 206010033799 Paralysis Diseases 0.000 description 1
- 241000700605 Viruses Species 0.000 description 1
- 238000010276 construction Methods 0.000 description 1
- 230000002596 correlated effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 238000004134 energy conservation Methods 0.000 description 1
- 238000009434 installation Methods 0.000 description 1
- 230000009467 reduction Effects 0.000 description 1
Images
Landscapes
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
- Hardware Redundancy (AREA)
Abstract
The invention relates to a method and a device of integrated data disaster recovery based on cloud platform, belonging to the field of data processing technology. The method mainly comprises three steps: establishing a cloud environment and deploying virtual machines and applications in the cloud environment; configuring data disaster recovery strategies for various applications deployed on the cloud platform and monitoring running status of the various applications on the cloud platform; and selecting appropriate disaster recovery strategies to carry out recoveries for abnormal applications according to monitoring results. The device comprises a data disaster recovery strategy selection module, a data disaster recovery response module, a data disaster recovery scheduling module, and a data disaster recovery storage module. The invention provides a safe, reliable, and strategy-flexible disaster recovery platform for data disaster recovery and a highly reliable storage system for data backup fault tolerance, which can be applied to data disaster recovery on the cloud platform.
Description
Technical field
The present invention relates to technical field of data processing, especially a kind of integration data disaster recovery method and device thereof based on the cloud platform.
Background technology
Along with the fast development of infotech, the course that decades have been experienced in the construction of data center.In fact at present the server architecture that uses has been continued to use decades, and the problem of existence emerges.The appearance of blade server makes the architecture design of server stride forward a step; But also brought the storage resources that disperses to utilize problem.The numerous network equipment of data center, memory device etc. though couple together through network, in fact are still one by one independently colony.The integration of data center apparatus, optimization intensify, integrated design mentioned schedule.Improve the efficient of server and the usefulness of whole data center; Carry out energy-conservation, consumption reduction and reduce the whole cost (TCO) that has; To improve response speed and operational efficiency that service externally improves in data center simultaneously; Require the architectural framework design of data center and server must change the fine needs that satisfy this change of development of cloud computing technology.
Along with the development of infotech, business and government department more and more depends on electronic data processing and carries out its commercial activity and management, and the high reliability of electronic data processing and high availability more and more become key.If loss of data, professional carrying out will become extremely difficult.What is more important, losing of core data might cause the paralysis of total system fully when serious.If government department's core data is lost, can cause political event when serious.Therefore, successful disaster recovery will be key components in the strategic plan in the time that limits.
Although along with science and technology development; The reliability of computer system increases day by day; But many factors such as artificial operating mistake, software defect, hardware fault, computer virus, hacker's attack, natural disaster; All might cause losing of data, still can destroy the IT system that enterprise depends on for existence easily, thereby cause an immeasurable loss.So, set up disaster backup system and just become inevitable choice.
Summary of the invention
One of technical matters that the present invention solves is to provide a kind of integration data disaster recovery method based on the cloud platform, realizes that the data disaster tolerance of cloud platform is integrated.
Two of the technical matters that the present invention solves is to provide a kind of integration data disaster tolerance device based on the cloud platform, and realization is integrated to cloud platform data disaster tolerance.
The technical scheme that the present invention one of solves the problems of the technologies described above is: comprise the steps:
Build cloud environment, and in said cloud computing environment, dispose virtual machine and application;
To the various application configuration data disaster tolerance strategies on the being deployed in cloud platform, the operation conditions of the various application on the monitoring cloud platform;
According to the result of monitoring, select suitable disaster tolerance strategy to use recovery when unusual the application occurring, reach minimal loss.
Said cloud environment process of building comprises: the preparation of physical server, the configuration of the configuration of distributed storage, the configuration of management server and platform monitoring.
The layoutprocedure of the data disaster tolerance strategy of the various application of being disposed is following:
The user is provided with backup node, disposes the disaster tolerance strategy of said application;
Whether judges is provided with snapshot policy, if do not have, then carries out the setting of snapshot policy;
Whether judges is provided with backup policy, if do not have, then carries out the setting of backup policy;
Whether judges is provided with the remote backup strategy, if do not have, then carries out the setting of remote backup strategy.
When the user is provided with snapshot policy, in conjunction with the RPO value of using is set the regularly snapshot time, the cloud platform is regularly given according to the time of setting and is used snapshot, and it is kept at local disk.
The most initially environment and the important database data of application data back up; System data is carried out mirror back-up, provide virtual machine to recover mirror image and deploying virtual machine template.
When physical error occurring, support and the virtual machine snapshot backup through GCFS file system multidata copy, realize the recovery of physical error; When logic error occurring, adopt system's snapshot to recover; When extensive disaster occurring, recover through the remote backup center.
Two the technical scheme that the present invention solves the problems of the technologies described above is:
Comprise data disaster tolerance policy selection module, data disaster tolerance respond module, data disaster tolerance scheduler module and data disaster tolerance memory module;
Described data disaster tolerance policy selection module is carried out the strategy setting of user ID, snapshot and remote backup, and the function that fault-tolerant, online migration (virtual machine, storage) is provided for the user, realizes disaster tolerance strategy flexibly;
Described data disaster tolerance respond module is used for timing response data disaster tolerance strategy, when the user moves, during fault-tolerant feature operation, it needs the process user operation and adopts the mode that shows that user response information is provided;
Described data disaster tolerance scheduler module mainly is responsible for scheduling of resource, Workflow optimization and the stored scheduling of the various strategies of data catastrophic failure-tolerant backup and disaster recovery;
Described data disaster tolerance memory module mainly is responsible for data catastrophic failure-tolerant backup and the storage of snapshot and the management of a plurality of copies.
The present invention reaches minimal loss through disposing virtual machine and application, configuration data disaster tolerance strategy and according to monitoring result application being recovered.Solve the concentrated setting of cloud platform data disaster tolerance strategy, the reasonable combination of disaster tolerance technology, cooperated the GCFS distributed file system to solve that tradition backup real-time/rationality is poor, the problems such as replica management complicacy of snapshot simultaneously.
Description of drawings
Below in conjunction with accompanying drawing the present invention is further specified:
Fig. 1 is the process flow diagram of cloud platform integration data disaster tolerance of the present invention;
Fig. 2 is a cloud platform integration data disaster tolerance device block diagram of the present invention;
Fig. 3 is the process flow diagram of cloud platform integration data disaster tolerance policy configurations of the present invention;
Fig. 4 is the unusual or wrong recovery process flow diagram of cloud platform integration data disaster tolerance of the present invention.
Embodiment
Be illustrated in figure 1 as cloud platform integration data disaster recovery method, mainly may further comprise the steps:
Step G001 builds cloud environment, and in described cloud environment, disposes virtual machine and application;
Step G002, to the various application configuration data disaster tolerance strategies on the being deployed in cloud platform, the operation conditions of the various application on the monitoring cloud platform;
Step G003, the result according to monitoring unusual application occurs and then selects suitable disaster tolerance strategy (a kind of strategy or combined strategy) to use recovery, reaches minimal loss.
Be illustrated in figure 2 as the installation drawing of cloud platform integration data disaster tolerance, it mainly comprises: data disaster tolerance policy selection module (G012), data disaster tolerance respond module (G011), data disaster tolerance scheduler module (G013) and data disaster tolerance memory module (G014).
Wherein, the apparatus function of described cloud platform integration data disaster tolerance is following:
G011 is the data disaster tolerance respond module, is mainly used in timing response data disaster tolerance strategy, when the user moves, during fault-tolerant feature operation, it needs the process user operation and adopts the mode that shows that user response information is provided.
G012 is a data disaster tolerance policy selection module, mainly carries out the strategy setting of user ID, snapshot and remote backup, and the function that fault-tolerant, online migration (virtual machine, storage) is provided for the user, realizes disaster tolerance strategy flexibly.
G013 is the data disaster tolerance scheduler module, mainly is responsible for scheduling of resource, Workflow optimization and the stored scheduling (selection of memory node and the selection that recovers copy) of the various strategies of data catastrophic failure-tolerant backup and disaster recovery.
G014 is the data disaster tolerance memory module, mainly is responsible for data catastrophic failure-tolerant backup and the storage of snapshot and the management of a plurality of copies.
The disaster tolerance policy configurations process flow diagram of cloud platform integration data disaster tolerance as shown in Figure 3, its key step is following:
Whether all step 302 judges the configuration of disaster tolerance strategy, if accomplishing directly, configuration finishes, otherwise, continue to carry out;
Be illustrated in figure 4 as the unusual or wrong recovery process flow diagram of cloud platform integration data disaster tolerance, concrete steps are following:
Claims (10)
1. the integration data disaster recovery method based on the cloud platform is characterized in that, comprises the steps:
Build cloud environment, and in said cloud computing environment, dispose virtual machine and application;
To the various application configuration data disaster tolerance strategies on the being deployed in cloud platform, the operation conditions of the various application on the monitoring cloud platform;
According to the result of monitoring, select suitable disaster tolerance strategy to use recovery when unusual the application occurring, reach minimal loss.
2. data disaster tolerance method according to claim 1 is characterized in that: said cloud environment process of building comprises: the preparation of physical server, the configuration of the configuration of distributed storage, the configuration of management server and platform monitoring.
3. data disaster tolerance method according to claim 1 is characterized in that: the layoutprocedure of the data disaster tolerance strategy of the various application of being disposed is following:
The user is provided with backup node, disposes the disaster tolerance strategy of said application;
Whether judges is provided with snapshot policy, if do not have, then carries out the setting of snapshot policy;
Whether judges is provided with backup policy, if do not have, then carries out the setting of backup policy;
Whether judges is provided with the remote backup strategy, if do not have, then carries out the setting of remote backup strategy.
4. data disaster tolerance method according to claim 3 is characterized in that: when the user is provided with snapshot policy, in conjunction with the RPO value of using is set the regularly snapshot time, the cloud platform is regularly given according to the time of setting and is used snapshot, and it is kept at local disk.
5. data disaster tolerance method according to claim 3 is characterized in that: the most initially environment and the important database data of application data back up; System data is carried out mirror back-up, provide virtual machine to recover mirror image and deploying virtual machine template.
6. data disaster tolerance method according to claim 4 is characterized in that: the most initially environment and the important database data of application data back up; System data is carried out mirror back-up, provide virtual machine to recover mirror image and deploying virtual machine template.
7. according to claim 3,4,5 or 6 described data disaster tolerance methods, it is characterized in that: adopt synchronous Remote Switched Port Analyzer technology the closer distance data backup; The data remote backup of adopting the asynchronous remote mirror image technology to adjust the distance bigger, and adopt the late replicating method to ensure the consistance of asynchronous remote mirror image data.
8. according to each described data disaster tolerance method of claim 3 to 6, it is characterized in that: when physical error occurring, support and the virtual machine snapshot backup, realize the recovery of physical error through GCFS file system multidata copy; When logic error occurring, adopt system's snapshot to recover; When extensive disaster occurring, recover through the remote backup center.
9. data disaster tolerance method according to claim 7 is characterized in that: when physical error occurring, support and the virtual machine snapshot backup through GCFS file system multidata copy, realize the recovery of physical error; When logic error occurring, adopt system's snapshot to recover; When extensive disaster occurring, recover through the remote backup center.
10. a device of realizing each described data disaster tolerance method of claim 1 to 9 is characterized in that: comprise data disaster tolerance policy selection module, data disaster tolerance respond module, data disaster tolerance scheduler module and data disaster tolerance memory module;
Described data disaster tolerance policy selection module is carried out the strategy setting of user ID, snapshot and remote backup, and the function that fault-tolerant, online migration (virtual machine, storage) is provided for the user, realizes disaster tolerance strategy flexibly;
Described data disaster tolerance respond module is used for timing response data disaster tolerance strategy, when the user moves, during fault-tolerant feature operation, it needs the process user operation and adopts the mode that shows that user response information is provided;
Described data disaster tolerance scheduler module mainly is responsible for scheduling of resource, Workflow optimization and the stored scheduling of the various strategies of data catastrophic failure-tolerant backup and disaster recovery;
Described data disaster tolerance memory module mainly is responsible for data catastrophic failure-tolerant backup and the storage of snapshot and the management of a plurality of copies.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210125943.8A CN102629224B (en) | 2012-04-26 | 2012-04-26 | Method and device of integrated data disaster recovery based on cloud platform |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201210125943.8A CN102629224B (en) | 2012-04-26 | 2012-04-26 | Method and device of integrated data disaster recovery based on cloud platform |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN102629224A true CN102629224A (en) | 2012-08-08 |
| CN102629224B CN102629224B (en) | 2014-11-26 |
Family
ID=46587484
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201210125943.8A Active CN102629224B (en) | 2012-04-26 | 2012-04-26 | Method and device of integrated data disaster recovery based on cloud platform |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN102629224B (en) |
Cited By (31)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102946408A (en) * | 2012-10-11 | 2013-02-27 | 浪潮(北京)电子信息产业有限公司 | Cloud computing system, device and method for providing application service |
| CN103209218A (en) * | 2013-04-23 | 2013-07-17 | 深圳市京华科讯科技有限公司 | Management system for disaster-tolerant all-in-one machine |
| CN103500126A (en) * | 2013-10-28 | 2014-01-08 | 北京大学 | Automated fault-tolerant configuration method for cloud computing platform |
| CN103677967A (en) * | 2012-09-03 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Remote data service system of data base and task scheduling method |
| CN103843284A (en) * | 2013-10-23 | 2014-06-04 | 华为技术有限公司 | Disaster tolerance method, system and device of cloud application |
| CN104063262A (en) * | 2014-06-16 | 2014-09-24 | 南京信息工程大学 | Remote disaster recovery system and remote disaster recovery method based on virtual machines |
| CN104111878A (en) * | 2014-02-20 | 2014-10-22 | 西安未来国际信息股份有限公司 | Automatic hadoop cluster restoration technology on basis of snapshots of virtual machines |
| CN104268001A (en) * | 2014-09-24 | 2015-01-07 | 华为技术有限公司 | Method and device for creating virtual machine |
| CN104734875A (en) * | 2013-12-20 | 2015-06-24 | 华为技术有限公司 | Service application disaster tolerance deployment method and device |
| WO2015157897A1 (en) * | 2014-04-14 | 2015-10-22 | 华为技术有限公司 | Disaster recovery data center configuration method and apparatus in cloud computing architecture |
| WO2015157896A1 (en) * | 2014-04-14 | 2015-10-22 | 华为技术有限公司 | Disaster recovery scheme configuration method and apparatus in cloud computing architecture |
| CN105005509A (en) * | 2015-07-07 | 2015-10-28 | 北京大学 | Runtime model based configuration method for fault-tolerant mechanism of cloud computing |
| CN105187256A (en) * | 2015-09-29 | 2015-12-23 | 华为技术有限公司 | Disaster recovery method, device and system |
| WO2016045439A1 (en) * | 2014-09-25 | 2016-03-31 | 中兴通讯股份有限公司 | Vnfm disaster-tolerant protection method and device, nfvo and storage medium |
| WO2016078370A1 (en) * | 2014-11-18 | 2016-05-26 | 中兴通讯股份有限公司 | Method and apparatus for synchronizing virtual machine of network device |
| CN105930226A (en) * | 2015-12-30 | 2016-09-07 | 中国银联股份有限公司 | Data processing method and apparatus |
| US9465708B2 (en) | 2013-05-23 | 2016-10-11 | Sanovi Technologies Pvt. Ltd. | System and method to proactively and intelligently schedule disaster recovery (DR) drill(s)/test(s) in computing system environment |
| CN106254166A (en) * | 2016-09-30 | 2016-12-21 | 中国银联股份有限公司 | A kind of cloud platform resource allocation method based on Disaster Preparation Center and system |
| CN106559441A (en) * | 2015-09-25 | 2017-04-05 | 华为技术有限公司 | It is a kind of based on the virtual machine monitoring method of cloud computing service, apparatus and system |
| CN106911522A (en) * | 2017-04-20 | 2017-06-30 | 广东浪潮大数据研究有限公司 | A kind of fault handling method and system based on cloud environment |
| CN106919472A (en) * | 2015-12-28 | 2017-07-04 | 中国移动通信集团公司 | The snap backup method and device of data |
| CN107135097A (en) * | 2017-04-14 | 2017-09-05 | 北京金融资产交易所有限公司 | The disaster tolerance system and disaster recovery method filed based on bookkeeping |
| WO2017152763A1 (en) * | 2016-03-10 | 2017-09-14 | 阿里巴巴集团控股有限公司 | Physical machine failure classification handling method and device, and virtual machine recovery method and system |
| CN107247744A (en) * | 2017-05-18 | 2017-10-13 | 杭州沃趣科技股份有限公司 | A kind of quick establishment and the efficient database that manages are for the method in storehouse |
| CN108519931A (en) * | 2018-03-19 | 2018-09-11 | 山东超越数控电子股份有限公司 | A kind of Hot Spare implementation method based on snapping technique |
| CN108932180A (en) * | 2018-06-21 | 2018-12-04 | 郑州云海信息技术有限公司 | A kind of disaster tolerance management method, device, storage medium and computer equipment matter |
| US10545777B2 (en) | 2016-11-08 | 2020-01-28 | International Business Machines Corporation | Generating a virtual machines relocation protocol |
| CN111488245A (en) * | 2020-04-14 | 2020-08-04 | 深圳市小微学苑科技有限公司 | Advanced management method and system for distributed storage |
| US10942830B2 (en) | 2017-06-19 | 2021-03-09 | International Business Machines Corporation | Scaling out a hybrid cloud storage service |
| CN112835535A (en) * | 2021-03-02 | 2021-05-25 | 苏州讯亚信息科技有限公司 | Data centralized management platform |
| CN114780301A (en) * | 2022-06-22 | 2022-07-22 | 深圳市木浪云科技有限公司 | Disaster recovery method and system supporting multi-cloud production environment |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102012789A (en) * | 2009-09-07 | 2011-04-13 | 云端容灾有限公司 | Centralized management type backup and disaster recovery system |
| CN102307177A (en) * | 2010-09-25 | 2012-01-04 | 广东电子工业研究院有限公司 | Windows-virtual-machine-oriented onetime password management system and method thereof |
| CN102394774A (en) * | 2011-10-31 | 2012-03-28 | 广东电子工业研究院有限公司 | Service state monitoring and failure recovery method for controllers of cloud computing operating system |
-
2012
- 2012-04-26 CN CN201210125943.8A patent/CN102629224B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102012789A (en) * | 2009-09-07 | 2011-04-13 | 云端容灾有限公司 | Centralized management type backup and disaster recovery system |
| CN102307177A (en) * | 2010-09-25 | 2012-01-04 | 广东电子工业研究院有限公司 | Windows-virtual-machine-oriented onetime password management system and method thereof |
| CN102394774A (en) * | 2011-10-31 | 2012-03-28 | 广东电子工业研究院有限公司 | Service state monitoring and failure recovery method for controllers of cloud computing operating system |
Non-Patent Citations (1)
| Title |
|---|
| 赵淦森等: "《云计算平台生存性研究》", 《电信科学》 * |
Cited By (55)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103677967B (en) * | 2012-09-03 | 2017-03-01 | 阿里巴巴集团控股有限公司 | A kind of remote date transmission system of data base and method for scheduling task |
| CN103677967A (en) * | 2012-09-03 | 2014-03-26 | 阿里巴巴集团控股有限公司 | Remote data service system of data base and task scheduling method |
| CN102946408A (en) * | 2012-10-11 | 2013-02-27 | 浪潮(北京)电子信息产业有限公司 | Cloud computing system, device and method for providing application service |
| CN103209218A (en) * | 2013-04-23 | 2013-07-17 | 深圳市京华科讯科技有限公司 | Management system for disaster-tolerant all-in-one machine |
| US9465708B2 (en) | 2013-05-23 | 2016-10-11 | Sanovi Technologies Pvt. Ltd. | System and method to proactively and intelligently schedule disaster recovery (DR) drill(s)/test(s) in computing system environment |
| CN103843284A (en) * | 2013-10-23 | 2014-06-04 | 华为技术有限公司 | Disaster tolerance method, system and device of cloud application |
| US9529683B2 (en) | 2013-10-23 | 2016-12-27 | Huawei Technologies Co., Ltd. | Method, system, and apparatus for cloud application redundancy |
| CN103843284B (en) * | 2013-10-23 | 2015-12-02 | 华为技术有限公司 | Disaster recovery method, system and device that a kind of cloud is applied |
| US9703654B2 (en) | 2013-10-23 | 2017-07-11 | Huawei Technologies Co., Ltd. | Method, system, and apparatus for cloud application redundancy |
| CN103500126A (en) * | 2013-10-28 | 2014-01-08 | 北京大学 | Automated fault-tolerant configuration method for cloud computing platform |
| CN103500126B (en) * | 2013-10-28 | 2016-06-15 | 北京大学 | A kind of automatization fault-tolerant configuration method of cloud computing platform |
| CN104734875A (en) * | 2013-12-20 | 2015-06-24 | 华为技术有限公司 | Service application disaster tolerance deployment method and device |
| CN104734875B (en) * | 2013-12-20 | 2018-03-09 | 华为技术有限公司 | Service application disaster tolerance dispositions method and device |
| CN104111878A (en) * | 2014-02-20 | 2014-10-22 | 西安未来国际信息股份有限公司 | Automatic hadoop cluster restoration technology on basis of snapshots of virtual machines |
| US10061530B2 (en) | 2014-04-14 | 2018-08-28 | Huawei Technologies Co., Ltd. | Method and apparatus for configuring redundancy data center in cloud computing architecture |
| US10205806B2 (en) | 2014-04-14 | 2019-02-12 | Huawei Technologies Co., Ltd. | Method and apparatus for configuring redundancy solution in cloud computing architecture |
| WO2015157896A1 (en) * | 2014-04-14 | 2015-10-22 | 华为技术有限公司 | Disaster recovery scheme configuration method and apparatus in cloud computing architecture |
| WO2015157897A1 (en) * | 2014-04-14 | 2015-10-22 | 华为技术有限公司 | Disaster recovery data center configuration method and apparatus in cloud computing architecture |
| RU2641477C1 (en) * | 2014-04-14 | 2018-01-17 | Хуавэй Текнолоджиз Ко., Лтд. | Method and device for configuration of providing solution in cloud protection computing architecture |
| CN104063262A (en) * | 2014-06-16 | 2014-09-24 | 南京信息工程大学 | Remote disaster recovery system and remote disaster recovery method based on virtual machines |
| US10331470B2 (en) | 2014-09-24 | 2019-06-25 | Huawei Technologies Co., Ltd. | Virtual machine creation according to a redundancy policy |
| CN104268001A (en) * | 2014-09-24 | 2015-01-07 | 华为技术有限公司 | Method and device for creating virtual machine |
| CN104268001B (en) * | 2014-09-24 | 2017-09-05 | 华为技术有限公司 | A kind of method for creating virtual machine and the device for creating virtual machine |
| WO2016045439A1 (en) * | 2014-09-25 | 2016-03-31 | 中兴通讯股份有限公司 | Vnfm disaster-tolerant protection method and device, nfvo and storage medium |
| WO2016078370A1 (en) * | 2014-11-18 | 2016-05-26 | 中兴通讯股份有限公司 | Method and apparatus for synchronizing virtual machine of network device |
| CN105005509A (en) * | 2015-07-07 | 2015-10-28 | 北京大学 | Runtime model based configuration method for fault-tolerant mechanism of cloud computing |
| CN105005509B (en) * | 2015-07-07 | 2018-08-14 | 北京大学 | A kind of cloud computing fault tolerant mechanism configuration method based on model when running |
| CN106559441A (en) * | 2015-09-25 | 2017-04-05 | 华为技术有限公司 | It is a kind of based on the virtual machine monitoring method of cloud computing service, apparatus and system |
| WO2017054536A1 (en) * | 2015-09-29 | 2017-04-06 | 华为技术有限公司 | Disaster recovery method, device, and system |
| CN105187256A (en) * | 2015-09-29 | 2015-12-23 | 华为技术有限公司 | Disaster recovery method, device and system |
| CN105187256B (en) * | 2015-09-29 | 2018-11-06 | 华为技术有限公司 | A kind of disaster recovery method, equipment and system |
| US11461199B2 (en) | 2015-09-29 | 2022-10-04 | Huawei Cloud Computing Technologies Co., Ltd. | Redundancy method, device, and system |
| US10713130B2 (en) | 2015-09-29 | 2020-07-14 | Huawei Technologies Co., Ltd. | Redundancy method, device, and system |
| CN106919472A (en) * | 2015-12-28 | 2017-07-04 | 中国移动通信集团公司 | The snap backup method and device of data |
| CN106919472B (en) * | 2015-12-28 | 2020-05-12 | 中国移动通信集团公司 | Method and device for snapshot backup of data |
| CN105930226B (en) * | 2015-12-30 | 2019-01-01 | 中国银联股份有限公司 | A kind of data processing method and device |
| CN105930226A (en) * | 2015-12-30 | 2016-09-07 | 中国银联股份有限公司 | Data processing method and apparatus |
| CN107179957B (en) * | 2016-03-10 | 2020-08-25 | 阿里巴巴集团控股有限公司 | Physical machine fault classification processing method and device and virtual machine recovery method and system |
| CN107179957A (en) * | 2016-03-10 | 2017-09-19 | 阿里巴巴集团控股有限公司 | Physical machine failure modes processing method, device and virtual machine restoration methods, system |
| WO2017152763A1 (en) * | 2016-03-10 | 2017-09-14 | 阿里巴巴集团控股有限公司 | Physical machine failure classification handling method and device, and virtual machine recovery method and system |
| TWI746512B (en) * | 2016-03-10 | 2021-11-21 | 香港商阿里巴巴集團服務有限公司 | Physical machine fault classification processing method and device, and virtual machine recovery method and system |
| CN106254166A (en) * | 2016-09-30 | 2016-12-21 | 中国银联股份有限公司 | A kind of cloud platform resource allocation method based on Disaster Preparation Center and system |
| US10545777B2 (en) | 2016-11-08 | 2020-01-28 | International Business Machines Corporation | Generating a virtual machines relocation protocol |
| US11403127B2 (en) | 2016-11-08 | 2022-08-02 | International Business Machines Corporation | Generating a virtual machines relocation protocol |
| CN107135097A (en) * | 2017-04-14 | 2017-09-05 | 北京金融资产交易所有限公司 | The disaster tolerance system and disaster recovery method filed based on bookkeeping |
| CN106911522A (en) * | 2017-04-20 | 2017-06-30 | 广东浪潮大数据研究有限公司 | A kind of fault handling method and system based on cloud environment |
| CN107247744A (en) * | 2017-05-18 | 2017-10-13 | 杭州沃趣科技股份有限公司 | A kind of quick establishment and the efficient database that manages are for the method in storehouse |
| US10942830B2 (en) | 2017-06-19 | 2021-03-09 | International Business Machines Corporation | Scaling out a hybrid cloud storage service |
| US10942829B2 (en) | 2017-06-19 | 2021-03-09 | International Business Machines Corporation | Scaling out a hybrid cloud storage service |
| CN108519931A (en) * | 2018-03-19 | 2018-09-11 | 山东超越数控电子股份有限公司 | A kind of Hot Spare implementation method based on snapping technique |
| CN108932180A (en) * | 2018-06-21 | 2018-12-04 | 郑州云海信息技术有限公司 | A kind of disaster tolerance management method, device, storage medium and computer equipment matter |
| CN111488245A (en) * | 2020-04-14 | 2020-08-04 | 深圳市小微学苑科技有限公司 | Advanced management method and system for distributed storage |
| CN112835535A (en) * | 2021-03-02 | 2021-05-25 | 苏州讯亚信息科技有限公司 | Data centralized management platform |
| CN114780301A (en) * | 2022-06-22 | 2022-07-22 | 深圳市木浪云科技有限公司 | Disaster recovery method and system supporting multi-cloud production environment |
| CN114780301B (en) * | 2022-06-22 | 2022-09-13 | 深圳市木浪云科技有限公司 | Disaster recovery method and system supporting multi-cloud production environment |
Also Published As
| Publication number | Publication date |
|---|---|
| CN102629224B (en) | 2014-11-26 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102629224B (en) | Method and device of integrated data disaster recovery based on cloud platform | |
| US11669409B2 (en) | Application migration between environments | |
| US11074143B2 (en) | Data backup and disaster recovery between environments | |
| US11663085B2 (en) | Application backup and management | |
| CN111290834B (en) | Method, device and equipment for realizing high service availability based on cloud management platform | |
| CN105721582B (en) | Multinode file backup system | |
| CN105354113B (en) | A kind of system and method for server, management server | |
| WO2019070624A1 (en) | Unified replication and recovery | |
| KR20110044858A (en) | Maintain data indetermination in data servers across data centers | |
| CN107066357A (en) | A kind of database synthetic backup and carry restoration methods | |
| CN103729280A (en) | High availability mechanism for virtual machine | |
| CN111651275A (en) | MySQL cluster automatic deployment system and method | |
| US11663093B2 (en) | Automated development of recovery plans | |
| CN105183591A (en) | High-availability cluster implementation method and system | |
| CN111984274A (en) | Method and device for one-key automatic deployment of ETCD (electronic toll collection) cluster | |
| CN103902401A (en) | Virtual machine fault tolerance method and device based on monitoring | |
| US7519857B2 (en) | Method, apparatus, and system for a software based business continuity solution for a computing environment | |
| CN106445729A (en) | Backup virtualization-based method | |
| CN105468446A (en) | Linux based method for realizing high availability of HPC job scheduling | |
| Leangsuksun et al. | Asymmetric active-active high availability for high-end computing | |
| CN110688259B (en) | Private cloud backup recovery system and backup recovery method thereof | |
| US10613789B1 (en) | Analytics engine using consistent replication on distributed sites | |
| Cao et al. | IT Operation and Maintenance Process improvement and design under virtualization environment | |
| CN109995560A (en) | Cloud resource pond management system and method | |
| CN107644035B (en) | Database system and deployment method thereof |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| GR01 | Patent grant |