CN102629224A - Method and device of integrated data disaster recovery based on cloud platform - Google Patents
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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.
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