CN103324715A - Disaster recovery backup system availability detection method and device - Google Patents
Disaster recovery backup system availability detection method and device Download PDFInfo
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- CN103324715A CN103324715A CN201310251521XA CN201310251521A CN103324715A CN 103324715 A CN103324715 A CN 103324715A CN 201310251521X A CN201310251521X A CN 201310251521XA CN 201310251521 A CN201310251521 A CN 201310251521A CN 103324715 A CN103324715 A CN 103324715A
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Abstract
Disclosed is a disaster recovery backup system availability detection method and device. The method includes step 101, acquiring configuration and operation state information of production environments and disaster recovery backup environments of a data center; step 102, extracting information from the acquired configuration and operation state information according to a disaster recovery backup switch high availability model to form production/disaster recovery backup high availability operation indicators; step 103, generating indicator difference by comparing the production/disaster recovery backup high availability operation indicators; step 104, converting the difference into alarm information or generating statistical reports. The disaster recovery backup system availability detection method and device can be used for timely detecting and tracking and solving the problems which are in the production environments and the disaster recovery backup environments and may affect the disaster recovery backup high availability by combining with ITIL (Information Technology Infrastructure Library) processes of the data center under the condition of greatly reducing practical exercises for verifying disaster recovery backup switch availability.
Description
Technical field
The invention relates to the standby handoff technique of data center's calamity, particularly about a kind of disaster recovery and backup systems method for detecting availability and device.
Background technology
For data center, the standby framework of the calamity that usually adopts is the heart and Disaster Preparation Center deployment facility respectively aborning, and the operating system at two ends all is in active state, and application data is synchronized to Disaster Preparation Center by the synchronization mechanism of external disk end from data center.The high available management of the at present standby switching of calamity generally has two kinds of implementations, the first scheme is to set up the standby high available Executive Team of calamity of certain scale, regularly or before going to the standby blocked operation of calamity, in advance production environment is backed up, and return to the standby environment of calamity.First scheme is to build at a distance high available Cluster framework, it is the expansion of local high availability Cluster framework, its essence is the resource group that the storage at two data centers, HOST, logical volume, application program is defined into high available Cluster, again by the standby high available switching condition of the corresponding calamity of definition in the Cluster environment, and realize the standby high available management of calamity by alarm platform, relevant mainstream technology realization technology has HACMP/XD-PPRC and the HACMP/XD-GLVM of IBM, and the VCS/GCO of Symantec etc.
The first scheme realizes that principle is simple, but has the problem of following three aspects:: at first, regularly production environment being backed up and the standby environment of calamity is recovered is repetitive operation, and workload may be very large; Secondly, personnel drop into larger, need to set up the standby high available Executive Team of calamity that a brace has certain scale, and along with the standby environment of calamity constantly increases, constantly expand possibly this team; In addition, during twice backup/restoration, the standby usability status of calamity is uncontrollable, has no basis to judge whether to carry out smoothly the standby switching of calamity fully.
The advantage of first scheme is that real-time is good, but expand and realize owing to this scheme is based on local high availability Cluster framework, its inherent switching judging condition can't support the requirement of the standby high available management of switching of calamity, the standby available condition judgment of height of switching of calamity is to need a large amount of customizations, namely be defined in the configuration of each Cluster by hand, therefore can exist two to be difficult to the factor of control for the standby environment of extensive open system calamity: at first, if the high available factor of the standby switching of calamity all is defined in the Cluster environment, can make the definition configuration of Cluster too complicated, to directly cause Cluster complicated to the degree that is difficult to safeguard, and can make high available environment self become uncontrollable and unreliable; In addition, for large-scale environment, owing to will each Cluster be defined the standby availability condition of calamity, can make the workload of building and safeguarding become very large; So at present for the standby environment of extensive open system calamity, industry does not also realize the standby case of switching high available management of calamity by this way.
In addition, above two schemes, along with the increase of switch logic complexity and the quantity linear growth of system, for example when realizing availability management in the face of the disaster recovery and backup systems that have hundreds of and even thousands of HOST, can make workload and input become very large or make complex management arrive to get unmanageable degree.
Summary of the invention
The invention provides a kind of disaster recovery and backup systems method for detecting availability and device, with by combining with the ITIL flow process of data center, under the prerequisite that significantly is reduced to the standby combat exercise of switching availability and carrying out of checking calamity, that can in time find and follow the tracks of and solve the standby environment existence of production/calamity may affect the high available problem of disaster recovery and backup systems; Can needs make whether to send carry out the standby instruction or mandate of switching of calamity in, whether provide timely and effectively can the successful switch possibility assessment.
To achieve these goals, the invention provides a kind of disaster recovery and backup systems method for detecting availability, the method comprises: step S101: obtain the production environment of data center and configuration and the running state information of the standby environment of calamity; Step S102: according to the standby high available model Extracting Information from the described configuration of obtaining and running state information that switches of calamity, form productions/calamity for high available operating index; Step S103: produce/the standby high available operating index comparison of calamity, generate the difference of each index item; Step S104: described difference is converted to warning information or generates statistical report form.
In one embodiment, after described step S104, described method also comprises: judge according to described warning information or statistical report form whether described difference is consistent with preset value, if so, generate new baseline; If not, the changing process of managing with ITIL articulates, and forms new change.
Further, described step S103 comprises: the high available operating index of production of comparing the high available operating index of current production and a upper baseline, and the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline generates the difference of each index item for high available operating index.
Further, described step S103 also comprises: compare the high available operating index of current production and the standby high available operating index of calamity, generate the difference of each index item.
Preferably, after described step S103, described method also comprises: described difference is showed at the enterprising Mobile state of high available views.
To achieve these goals, the present invention also provides a kind of disaster recovery and backup systems availability pick-up unit, and described device comprises: information acquisition unit is used for obtaining the production environment of data center and configuration and the running state information of the standby environment of calamity; The information extraction unit is used for forming the standby high available operating index of production/calamity according to standby described configuration and the running state information Extracting Information of high available model from obtaining that switch of calamity; The information comparing unit is used for producing/the standby high available operating index comparison of calamity, generates the difference of each index item; The difference output unit is used for described difference is converted to warning information or generates statistical report form.
In one embodiment, also comprise at described device: the diversity judgement unit, be used for judging according to described warning information or statistical report form whether described difference is consistent with preset value, if so, generate new baseline; If not, the changing process of managing with ITIL articulates, and forms new change.
Further, described information comparing unit specifically is used for: the high available operating index of production of comparing the high available operating index of current production and a upper baseline, and the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline generates the difference of each index item for high available operating index.
Further, described comparing unit specifically is used for: compare the high available operating index of current production and the standby high available operating index of calamity, generate the difference of each index item.
In one embodiment, described device also comprises: display unit is used for described difference is showed at the enterprising Mobile state of high available views.
The beneficial effect of the embodiment of the invention is, by combining with the ITIL flow process of data center, under the prerequisite that significantly is reduced to the standby combat exercise of switching availability and carrying out of checking calamity, that can in time find and follow the tracks of and solve the standby environment existence of production/calamity may affect the high available problem of disaster recovery and backup systems; Can needs make whether to send carry out the standby instruction or mandate of switching of calamity in, whether provide timely and effectively can the successful switch possibility assessment.
Description of drawings
In order to be illustrated more clearly in the embodiment of the invention or technical scheme of the prior art, the below will do to introduce simply to the accompanying drawing of required use in embodiment or the description of the Prior Art, apparently, accompanying drawing in the following describes only is some embodiments of the present invention, for those of ordinary skills, under the prerequisite of not paying creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is embodiment of the invention disaster recovery and backup systems method for detecting availability process flow diagram;
Fig. 2 is the architectural framework schematic diagram that flow process shown in Figure 1 depends on;
Fig. 3 is the deployment configuration diagram that flow process shown in Figure 1 depends on;
Fig. 4 is the detail flowchart of embodiment of the invention disaster recovery and backup systems method for detecting availability;
Fig. 5 is the structured flowchart of embodiment of the invention disaster recovery and backup systems availability pick-up unit.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the invention, the technical scheme in the embodiment of the invention is clearly and completely described, obviously, described embodiment only is the present invention's part embodiment, rather than whole embodiment.Based on the embodiment among the present invention, those of ordinary skills belong to the scope of protection of the invention not making the every other embodiment that obtains under the creative work prerequisite.
Before describing embodiments of the invention in detail, the several terms related to the present invention of paper:
The disaster recovery and backup systems height is available
Application system and the standby present situation of calamity thereof from data center, under the guidance of the available sustainability management strategy of the standby height of calamity, application system can be steadily switches to Disaster Preparation Center and the ability of business service is provided from data center, relates to minicomputer/PC, storage, network, operating system, middleware, third party's system software, database, soft of application, the standby handover management flow process of calamity and switches the configuration of the aspects such as script and the content of the aspect such as running status.
Disaster recovery and backup systems availability index storehouse
Application system and the standby present situation of calamity thereof from data center, under the guidance of the available sustainability management strategy of the standby height of calamity, what institute's analyse and sort out went out can ensure the high available IT configuration of disaster recovery and backup systems and the index set of running status, comprising two aspects, namely guarantee operation baseline and the switching controls index of the normal operation of HOST.
The standby Information Searching and Management platform of production/calamity
The standby Information Searching and Management platform of production/calamity is the CMDB importing of the standby architecture of productions/calamity from data center, technological means by robotization, according to the high available index of disaster recovery and backup systems storehouse, configuration and running status to production environment and the standby environment of calamity are quasi real time collected, and move the information comparison of baseline and switching availability index for the available index of height storehouse; By combining with data center ITIL workflow management, result for information comparison forms some outputs: comprise with alarm processing and sustainability flow process articulating, produce statistical report form that quasi real time view shows, baseline and the switching controls index of the high upstate of disaster recovery and backup systems compare etc., thereby realize the effect of the high available management of extensive disaster recovery and backup systems.
Embodiment one
As shown in Figure 1, the present embodiment provides a kind of disaster recovery and backup systems method for detecting availability, and the method comprises:
Step S101: obtain the production environment of data center and configuration and the running state information of the standby environment of calamity;
Step S102: according to the standby high available model Extracting Information from the described configuration of obtaining and running state information that switches of calamity, form productions/calamity for high available operating index;
Step S103: produce/the standby high available operating index comparison of calamity, generate the difference of each index item;
Step S104: described difference is converted to warning information or generates statistical report form.
By flow process shown in Figure 1 as can be known, in embodiments of the present invention, configuration and the running state information of the standby environment of the production environment by obtaining data center and calamity, according to the standby high available model Extracting Information from the described configuration of obtaining and running state information that switches of calamity, form the standby high available operating index of production/calamity, produce/the standby high available operating index comparison of calamity, generate the difference of each index item, described difference is converted to warning information or generates statistical report form, may affect the high available problem of disaster recovery and backup systems thereby can in time find and follow the tracks of and solve production/calamity for what environment existed; Can needs make whether to send carry out the standby instruction or mandate of switching of calamity in, whether provide timely and effectively can the successful switch possibility assessment.
The architectural framework schematic diagram that flow process shown in Figure 1 depends on and deployment configuration diagram are respectively as shown in Figures 2 and 3.As shown in Figure 3, label 301 is information comparison control desk, and 302 are information comparison server, 303 is information storage server, and 304 is that INFORMATION DISCOVERY server 2,305 and 308 is gateway server, 306 is the INFORMATION DISCOVERY control desk, and 307 is INFORMATION DISCOVERY server 1.
As shown in Figures 2 and 3, the critical piece (module) of the architectural framework that depends on of flow process shown in Figure 1 comprises:
1、CMDB
CMDB(Configuration Management Database) is the operation configuration database of data center, the various configuration informations of software and hardware in the storage and management IT architecture, all be closely linked to all service supports and service delivery process, support the running of these flow processs, the value of performance configuration information, depend on simultaneously the accuracy that related procedure guarantees data, it is the basis that makes up the changing process of other ITIL management.
2, the standby high available index storehouse of switching of calamity
Configuration and running status from aspects such as minicomputer/PC, storage, network, operating system, middleware, third party's system software, database, soft of application, the standby handover management flow process of calamity and switching scripts, what combing went out can support the standby high available index storehouse of switching of calamity, comprising two aspects, namely guarantee operation baseline and the switching controls index of the normal operation of HOST.
3, information scratching (module)
According to the standby high available requirement of calamity, support widely production and calamity for the minicomputer in the environment/PC aspect, storage aspect, network level, operating system aspect, middleware aspect, third party's system software aspect, database aspect, application software aspect, the configuration of the standby handover management script aspect of calamity and the information acquisition of running status, and formation comprise that the calamity of configuration and running status is for switching high available index storehouse.The mode of information acquisition is reliable and stable, and expense is little, and collecting efficiency is high, real-time good, gathers an increase/modification convenient.The logical relation of state repository information storage is clear, supports the access management of SQL or class SQL mode.
4, information is than (module)
The current configuration that will crawl out from the standby environment of production environment/calamity and the standby high available model of running status calamity and baseline carry out numeric ratio and Relationship Comparison, and analyzing to form affects the high available index item of the standby switching of calamity.
5, monitoring and alarm system (M2)
The Centralized Monitoring of data center and alarm management platform.
6, view shows (functional module)
Take application system as unit, the dynamic view that the high available situation of the standby switching of production/calamity is carried out is quasi real time showed, can remind the standby high available influence degree of calamity according to difference in the view.
7, statistical form
Statistical report form comprises: the standby high available statistical form etc. that switches of the difference statistical form between baseline statistic table, current configuration and running status statistical form, current configuration and running status and the baseline and production/calamity.Wherein, baseline refer to can supported application system/HOST stable operation configuration and the formed index item of running status.Table 1 is baseline corresponding to HACMP content.
Table 1
8, ITIL workflow management platform
The IT O﹠M workflow management platform of data center, it comprises changing process, sustainable flow process, configuration management and alarm processing etc. that this project need to relate to.
9, office terminal
The UI interface of following function mainly is provided: the user management of management platform, and articulate with the ldap server of data center; Provide calamity the standby maintenance interface that switches high available model; The inquiry of all kinds of statistical report forms and management; The safeguarding of data that this platform produces (backup, excavation, trend analysis etc.); The maintenance of this platform self.
10, INFORMATION DISCOVERY server
Adopt non-login mode, extensive environment is carried out information search concurrently, and can distinguish as required the aborning heart and Disaster Preparation Center's deployment multiline message discovery server.
11, information storage server
The INFORMATION DISCOVERY server is aggregated into information storage server with the information of collecting, unified regular and storage.
12, information comparison server
From the information that information storage server extract to need, then carry out baseline management, information comparison, report generation, availability topology show, articulate with mailing system, with the testings such as alarm processing articulates.
In the flow process shown in Figure 1, configuration and running state information can have, and can be the values of the index item such as memory space information, on off state information, edition upgrading information.
During implementation, by information collection tool, for example the ADDM of the TADDM of IBM, BMC collects the production environment of data center and configuration and the running state information of the standby environment of calamity; Information comparison server 302 is according to standby high available model (the standby available index storehouse of the calamity) Extracting Information from the described configuration of obtaining and running state information that switches of calamity, form the standby high available operating index of production/calamity, then produce/the standby high available operating index comparison of calamity, generate the difference of each index item, and then described difference is converted to warning information or generates statistical report form.
When step S101 implements, collect the production environment of data center and configuration and the running state information of the standby environment of calamity by collection kit, comprise memory space information, on off state information, edition upgrading information etc., these information will be stored in as in the information storage server 303.
When step S102 implemented, information comparison server 302 extracted the configuration of obtaining and the information in the running state information according to the standby available index storehouse of calamity from information storage server 303, form production/calamity for high available operating index.
Step S103 produces/during the standby high available operating index comparison of calamity, comprise two kinds of comparisons:
The first is according to the information that extracts, and compares the high available operating index of production of the high available operating index of current production and a upper baseline, and the standby high available operating index of the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline, generates the difference of each index item.
The second is according to the information that extracts, and compares the high available operating index of current production and the standby high available operating index of calamity, generates the difference of each index item.
When step S104 implements, the difference that generates among the step S103 is converted to warning information or generates statistical report form, table 2 is the high available operating index of the current production of comparison and the final statistical report form that generates of the standby high available operating index of calamity.
Table 2
After described step S103, can also comprise one and step S104 step arranged side by side: described difference is showed at the enterprising Mobile state of high available views, and view as shown in Figure 2 represents.
In a better enforcement, after described difference being converted to warning information through step S104 or generating statistical report form, the disaster recovery and backup systems method for detecting availability also comprises: judge according to described warning information or statistical report form whether described difference is consistent with preset value, if it is consistent with preset value that alarming information or statistical report form are judged described difference, generate new baseline.That is, preserve a upper baseline, with the index item of current state as new baseline.If it is inconsistent that alarming information or statistical report form are judged described difference and preset value, articulate with the changing process of ITIL management, and form new change.
Disaster recovery and backup systems method for detecting availability for a better understanding of the present invention sees also entire flow figure shown in Figure 4, and sees table shown in 3.
Table 3
The beneficial effect of the present embodiment: disaster recovery and backup systems method for detecting availability of the present invention is by combining with the ITIL flow process of data center, under the prerequisite that significantly is reduced to the standby combat exercise of switching availability and carrying out of checking calamity, that can in time find and follow the tracks of and solve the standby environment existence of production/calamity may affect the high available problem of disaster recovery and backup systems; Can needs make whether to send carry out the standby instruction or mandate of switching of calamity in, whether provide timely and effectively can the successful switch possibility assessment.
Embodiment two
As shown in Figure 5, the present embodiment provides a kind of disaster recovery and backup systems availability pick-up unit, and this disaster recovery and backup systems availability pick-up unit comprises: information acquisition unit 501, information extraction unit 502, information comparing unit 503 and difference output unit 504.
The first is according to the information that extracts, and compares the high available operating index of production of the high available operating index of current production and a upper baseline, and the standby high available operating index of the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline, generates the difference of each index item.
The second is according to the information that extracts, and compares the high available operating index of current production and the standby high available operating index of calamity, generates the difference of each index item.
Disaster recovery and backup systems availability pick-up unit also comprises: display unit 505, be used for described difference is showed at the enterprising Mobile state of high available views, and view as shown in Figure 2 represents
Disaster recovery and backup systems availability pick-up unit also comprises: diversity judgement unit 506, diversity judgement unit 506 judges according to described warning information or statistical report form whether described difference is consistent with preset value, if it is consistent with preset value that alarming information or statistical report form are judged described difference, generate new baseline.That is, preserve a upper baseline, with the index item of current state as new baseline.If it is inconsistent that alarming information or statistical report form are judged described difference and preset value, articulate with the changing process of ITIL management, and form new change.
The beneficial effect of the present embodiment: disaster recovery and backup systems method for detecting availability of the present invention is by combining with the ITIL flow process of data center, under the prerequisite that significantly is reduced to the standby combat exercise of switching availability and carrying out of checking calamity, that can in time find and follow the tracks of and solve the standby environment existence of production/calamity may affect the high available problem of disaster recovery and backup systems; Can needs make whether to send carry out the standby instruction or mandate of switching of calamity in, whether provide timely and effectively can the successful switch possibility assessment.
Those skilled in the art should understand, embodiments of the invention can be provided as method, system or computer program.Therefore, the present invention can adopt complete hardware implementation example, complete implement software example or in conjunction with the form of the embodiment of software and hardware aspect.And the present invention can adopt the form of the computer program of implementing in one or more computer-usable storage medium (including but not limited to magnetic disk memory, CD-ROM, optical memory etc.) that wherein include computer usable program code.
The present invention is that reference is described according to process flow diagram and/or the block scheme of method, equipment (system) and the computer program of the embodiment of the invention.Should understand can be by the flow process in each flow process in computer program instructions realization flow figure and/or the block scheme and/or square frame and process flow diagram and/or the block scheme and/or the combination of square frame.Can provide these computer program instructions to the processor of multi-purpose computer, special purpose computer, Embedded Processor or other programmable data processing device producing a machine, so that the instruction of carrying out by the processor of computing machine or other programmable data processing device produces the device that is used for realizing in the function of flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame appointments.
These computer program instructions also can be stored in energy vectoring computer or the computer-readable memory of other programmable data processing device with ad hoc fashion work, so that the instruction that is stored in this computer-readable memory produces the manufacture that comprises command device, this command device is realized the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame.
These computer program instructions also can be loaded on computing machine or other programmable data processing device, so that carry out the sequence of operations step producing computer implemented processing at computing machine or other programmable devices, thereby be provided for realizing the step of the function of appointment in flow process of process flow diagram or a plurality of flow process and/or square frame of block scheme or a plurality of square frame in the instruction that computing machine or other programmable devices are carried out.
Used specific embodiment among the present invention principle of the present invention and embodiment are set forth, the explanation of above embodiment just is used for helping to understand method of the present invention and core concept thereof; Simultaneously, for one of ordinary skill in the art, according to thought of the present invention, all will change in specific embodiments and applications, in sum, this description should not be construed as limitation of the present invention.
Claims (10)
1. a disaster recovery and backup systems method for detecting availability is characterized in that, described method comprises:
Step S101: obtain the production environment of data center and configuration and the running state information of the standby environment of calamity;
Step S102: according to the standby high available model Extracting Information from the described configuration of obtaining and running state information that switches of calamity, form productions/calamity for high available operating index;
Step S103: produce/the standby high available operating index comparison of calamity, generate the difference of each index item;
Step S104: described difference is converted to warning information or generates statistical report form.
2. disaster recovery and backup systems method for detecting availability according to claim 1 is characterized in that, after described step S104, described method also comprises:
Judge according to described warning information or statistical report form whether described difference is consistent with preset value, if so, generate new baseline; If not, the changing process of managing with ITIL articulates, and forms new change.
3. disaster recovery and backup systems method for detecting availability according to claim 1 and 2, it is characterized in that, described step S103 comprises: the high available operating index of production of comparing the high available operating index of current production and a upper baseline, and the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline generates the difference of each index item for high available operating index.
4. disaster recovery and backup systems method for detecting availability according to claim 1 and 2 is characterized in that, described step S103 also comprises: compare the high available operating index of current production and the standby high available operating index of calamity, generate the difference of each index item.
5. disaster recovery and backup systems method for detecting availability according to claim 1 is characterized in that, after described step S103, described method also comprises: described difference is showed at the enterprising Mobile state of high available views.
6. a disaster recovery and backup systems availability pick-up unit is characterized in that, described device comprises:
Information acquisition unit is used for obtaining the production environment of data center and configuration and the running state information of the standby environment of calamity;
The information extraction unit is used for forming the standby high available operating index of production/calamity according to standby described configuration and the running state information Extracting Information of high available model from obtaining that switch of calamity;
The information comparing unit is used for producing/the standby high available operating index comparison of calamity, generates the difference of each index item;
The difference output unit is used for described difference is converted to warning information or generates statistical report form.
7. disaster recovery and backup systems availability pick-up unit according to claim 6 is characterized in that, also comprises at described device:
The diversity judgement unit is used for judging according to described warning information or statistical report form whether described difference is consistent with preset value, if so, generates new baseline; If not, the changing process of managing with ITIL articulates, and forms new change.
8. according to claim 6 or 7 described disaster recovery and backup systems availability pick-up units, it is characterized in that, described information comparing unit specifically is used for:
Compare the high available operating index of production of the high available operating index of current production and a upper baseline, and the calamity of the standby high available operating index of the current calamity of comparison and a upper baseline generates the difference of each index item for high available operating index.
9. according to claim 6 or 7 described disaster recovery and backup systems availability pick-up units, it is characterized in that, described comparing unit specifically is used for: compare the high available operating index of current production and calamity for high available operating index, generate the difference of each index item.
10. disaster recovery and backup systems availability pick-up unit according to claim 6 is characterized in that, described device also comprises: display unit is used for described difference is showed at the enterprising Mobile state of high available views.
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| CN103530735A (en) * | 2013-10-23 | 2014-01-22 | 北京邮电大学 | Assessment method for daily operation and maintenance management capacity of disaster recovery center |
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| CN106095614A (en) * | 2016-05-27 | 2016-11-09 | 上海新炬网络信息技术有限公司 | A kind of data base's DR test managing and control system |
| CN106209422A (en) * | 2016-06-28 | 2016-12-07 | 中国银联股份有限公司 | Reduce the method and apparatus of Disaster Preparation Center's system switching unavailable time |
| CN108154343A (en) * | 2017-12-26 | 2018-06-12 | 国家电网公司 | The emergency processing method and system of a kind of enterprise information system |
| CN109460322A (en) * | 2018-11-14 | 2019-03-12 | 西安瑞蓝创软件科技有限公司 | The standby switching drilling system of calamity based on flow scheduling engine technique and method |
| CN111090690A (en) * | 2019-12-16 | 2020-05-01 | 中国建设银行股份有限公司 | Parameter docking method and device, electronic equipment and storage medium |
| CN114116310A (en) * | 2021-11-22 | 2022-03-01 | 北京优锘科技有限公司 | Method, device, equipment and storage medium for displaying disaster recovery switching based on JSON |
| CN115437851A (en) * | 2022-11-03 | 2022-12-06 | 联通(广东)产业互联网有限公司 | Data center disaster tolerance processing system and method |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6687222B1 (en) * | 1999-07-02 | 2004-02-03 | Cisco Technology, Inc. | Backup service managers for providing reliable network services in a distributed environment |
| CN101656624A (en) * | 2008-08-18 | 2010-02-24 | 中兴通讯股份有限公司 | Multi-node application-level disaster recovery system and multi-node application-level disaster recovery method |
| CN103166798A (en) * | 2013-03-27 | 2013-06-19 | 山东省计算中心 | Integrated monitoring system for data backup and disaster recovery system and backup and disaster recovery device |
-
2013
- 2013-06-20 CN CN201310251521.XA patent/CN103324715B/en active Active
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US6687222B1 (en) * | 1999-07-02 | 2004-02-03 | Cisco Technology, Inc. | Backup service managers for providing reliable network services in a distributed environment |
| CN101656624A (en) * | 2008-08-18 | 2010-02-24 | 中兴通讯股份有限公司 | Multi-node application-level disaster recovery system and multi-node application-level disaster recovery method |
| CN103166798A (en) * | 2013-03-27 | 2013-06-19 | 山东省计算中心 | Integrated monitoring system for data backup and disaster recovery system and backup and disaster recovery device |
Non-Patent Citations (1)
| Title |
|---|
| 樊卫国: ""XX市劳动保障局灾备中心远程无线监控系统设计与实现", 《中国优秀硕士学位论文全文库信息科技辑》, no. 2, 15 February 2013 (2013-02-15), pages 138 - 236 * |
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| CN103530735A (en) * | 2013-10-23 | 2014-01-22 | 北京邮电大学 | Assessment method for daily operation and maintenance management capacity of disaster recovery center |
| CN103530735B (en) * | 2013-10-23 | 2016-08-17 | 北京邮电大学 | A kind of Disaster Preparation Center daily operation management capability assessment method |
| CN103905252A (en) * | 2014-04-03 | 2014-07-02 | 北京邮电大学 | Disaster backup system evaluation tool based on disaster simulation |
| CN106095614A (en) * | 2016-05-27 | 2016-11-09 | 上海新炬网络信息技术有限公司 | A kind of data base's DR test managing and control system |
| CN106209422A (en) * | 2016-06-28 | 2016-12-07 | 中国银联股份有限公司 | Reduce the method and apparatus of Disaster Preparation Center's system switching unavailable time |
| CN108154343A (en) * | 2017-12-26 | 2018-06-12 | 国家电网公司 | The emergency processing method and system of a kind of enterprise information system |
| CN108154343B (en) * | 2017-12-26 | 2022-01-14 | 国家电网公司 | Emergency processing method and system for enterprise-level information system |
| CN109460322A (en) * | 2018-11-14 | 2019-03-12 | 西安瑞蓝创软件科技有限公司 | The standby switching drilling system of calamity based on flow scheduling engine technique and method |
| CN111090690A (en) * | 2019-12-16 | 2020-05-01 | 中国建设银行股份有限公司 | Parameter docking method and device, electronic equipment and storage medium |
| CN114116310A (en) * | 2021-11-22 | 2022-03-01 | 北京优锘科技有限公司 | Method, device, equipment and storage medium for displaying disaster recovery switching based on JSON |
| CN115437851A (en) * | 2022-11-03 | 2022-12-06 | 联通(广东)产业互联网有限公司 | Data center disaster tolerance processing system and method |
| CN115437851B (en) * | 2022-11-03 | 2023-01-13 | 联通(广东)产业互联网有限公司 | Data center disaster tolerance processing system and method |
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