CN104852814A - Intelligent integrated emergency system and emergency method thereof - Google Patents
Intelligent integrated emergency system and emergency method thereof Download PDFInfo
- Publication number
- CN104852814A CN104852814A CN201510166294.XA CN201510166294A CN104852814A CN 104852814 A CN104852814 A CN 104852814A CN 201510166294 A CN201510166294 A CN 201510166294A CN 104852814 A CN104852814 A CN 104852814A
- Authority
- CN
- China
- Prior art keywords
- module
- virtual machine
- deployment
- monitoring
- disaster tolerance
- 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.)
- Pending
Links
Classifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0654—Management of faults, events, alarms or notifications using network fault recovery
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/069—Management of faults, events, alarms or notifications using logs of notifications; Post-processing of notifications
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0695—Management of faults, events, alarms or notifications the faulty arrangement being the maintenance, administration or management system
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/10—Active monitoring, e.g. heartbeat, ping or trace-route
Abstract
The invention relates to the technical field of virtualized disaster tolerance and specifically to an intelligent integrated emergency system and an emergency method thereof. The intelligent integrated emergency system comprises a deployment management module, a monitoring management module, a disaster-tolerant management module, a virtual machine disposition module, a virtual machine migrating module, and a virtual machine backup module. The output end of the deployment management module is connected with the input end of the monitoring management module. The output end of the monitoring management module is connected with the input end of the disaster-tolerant management module. The disaster-tolerant management module is connected with the virtual machine migrating module. The virtual machine migrating module and the virtual machine backup module are connected with a virtual resource pool. The virtual resource pool is connected with the virtual machine disposition module. Compared with a product in the prior, the intelligent integrated emergency system not only may prevent data loss and application interruption, but also achieves restorable data for users at a critical time and uninterrupted production application of the users.
Description
[technical field]
The present invention relates to virtual disaster tolerance technology field, specifically a kind of intelligent integral emergency system and emergency method thereof.
[background technology]
According to the level implementing disaster tolerance, disaster tolerance system can be divided into data disaster tolerance, application disaster tolerance and business disaster tolerance.Data disaster tolerance and application disaster tolerance are owing to studying starting comparatively early, and existing utility system can be used.So-called business disaster tolerance is the thinner application of granularity by service decomposition, when a disaster occurs can by recombinating to business thus ensureing the continuity of business.By the reduction causing application to physical computing resources demand after service decomposition, and the performance of single computing system hardware is more and more higher simultaneously, wastes computational resource.Show [2] according to the correlative study of HP: the average utilization of server only has about 40%, and a considerable amount of server only runs the application program of small B/S or C/S structure.Even so, but traditional disaster tolerance system still needs for these servers configure corresponding backup server, thus causes the scale of disaster tolerance system excessive, high cost.
For different users, only need guarantee two point, first, whether can ensure that data are not lost, secondly, whether can ensure that application is uninterrupted.Backup is only used to ensure data a kind of technological means of not losing, and object to allow user can have at crucial moment the data that can recover and make the production application of client uninterrupted.But it is constant that the production environment of client is not one deck, increase by a root memory bar sometimes, although a hard disk has no impact to data Replica, when doing data and moving back, the failure that data may be caused to move back because of the difference of bottom hardware framework.In fact; now that what all to pursue than the data Replica means based on SAN of higher-end or fairly simple file copy is degree of protection to data security; if thus have ignored the possibility guaranteeing that data are moved back, even and if data that some cannot be moved back are lost the production environment of user also cannot be made to reenter serve level normally less again.
On the other hand, along with the development of intelligence science and technology of future generation, Intel Virtualization Technology more and more adopt by enterprise, but a lot of enterprise is not large-scale to be adopted.Or attempting the virtualization product of different brands, but, be difficult between the virtualization product of different brands carry out mutual migration, be also difficult to move back on physical platform, also bring very large difficulty to backup.So the mixing platform how between managing physical platform and different virtual product has also been trend of the times.
[summary of the invention]
Object of the present invention is exactly will solve above-mentioned deficiency and provide a kind of intelligent integral emergency system and emergency method thereof, not only can ensure that data are not lost and apply uninterrupted, and achieve user and can have at crucial moment the data that can recover and make the production application of client uninterrupted.
Design a kind of intelligent integral emergency system for achieving the above object, comprise deployment administration module, monitoring management module, disaster tolerance administration module, deploying virtual machine module, virtual machine (vm) migration module and virtual machine backup module, the output of described deployment administration module connects the input of monitoring management module, the output of described monitoring management module connects the input of disaster tolerance administration module, described disaster tolerance administration module is connected with virtual machine (vm) migration module, described virtual machine (vm) migration module, virtual machine backup module connects virtual resource pond respectively, described virtual resource pond is connected with deploying virtual machine module.
Described deployment administration module comprises user's input, scheme evaluation, schemes generation and service distribution unit and affixes one's name to four submodules, and wherein, user inputs submodule for the resource requirement of incoming traffic system and disaster tolerance index demand; Schemes generation submodule and service distribution unit administration submodule are used for generating deployment scheme according to resource status and user's request, and this deployment scheme comprises service, the deployment quantity of registration center and data and position; Scheme evaluation submodule adopts the fuzzy synthetic appraisement method based on entropy power to assess the deployment scheme generated.
Described monitoring management module comprises server monitoring, business monitoring and abnormal reports three submodules, and monitoring management module is used for the monitoring to service host, business main frame, registration center and data run state.
Described disaster tolerance administration module comprises tactical management, program management, task management and log management four submodules, described disaster tolerance administration module is by carrying out analysis and modeling to business disaster tolerance management process, take out the concept of strategy, prediction scheme and task, wherein, strategy and prediction scheme are many-to-one relations, task is the instantiation of prediction scheme, when the task of generation, and prediction scheme binding task relevant parameter.
Described deploying virtual machine module is for disposing and activate the virtual machine of self-configuring, and allow to have disposed the self-defined application program of virtual machine independent operating to each after system start-up, and for the responsible deploying virtual machine request processing user, and the system that is used as starts rear configuring virtual machine automatically, the business of carrying out being correlated with is installed and data configuration.
The service deployment flow process of described deploying virtual machine module is followed successively by: add deployment engine to VM template, copy VM template is to target VM and configure, deployment strategy copies target VM to, establishment disk integrated deployment strategy and automation VM carry out service deployment.
Described virtual machine (vm) migration module with the addition of HIT module and dirty page decelerator on the basis of Xen dynamic migration framework, total Surveillance center is utilized to read the loading condition of each business place node, and select a node relatively reliably, utilize the method for dynamic-dns or IP redirects by the business migration on a node on another one node.
Described virtual machine backup module comprises replication server, replication engine, heartbeat detection and external equipment and cushions four submodules, and wherein, heartbeat detection submodule is used for backup node, carries out heartbeat detection simultaneously safeguard live-vertex list to N number of live-vertex; Replication server and replication engine submodule for transmitting control process, with the calculating of the transmission of message various in control system, the updating maintenance of each list and hashed value; External equipment buffer sublayer module is divided into meshwork buffering and disk storage to cushion two parts.
The emergency method of this intelligent integral emergency system, comprises the following steps:
(1) user is according to the actual disaster tolerance environment of oneself production environment, input demand model, judges that whether demand model is reasonable, if unreasonable, require that user revises demand by system;
(2) if demand model is reasonable, system by the actual conditions generation system model of client, can form deployment scheme;
(3) according to deployment scheme, service deployment is carried out to the production environment of client;
(4) generate monitoring scheme according to selected deployment scheme, implement monitoring resource, and according to the state variation of monitoring content, if reach the alert if of setting in advance, then notify keeper by the form of note or mail;
(5) after keeper receives the report for police service, according to Catastrophic condition, by the business Disaster Recovery Strategy preset and prediction scheme, generate disaster tolerance task and perform; If disaster scenario is not very serious, then business can be reached the standard grade again;
(6) in disaster tolerance tasks carrying process, the shell script of keeper's sets itself is called in the long-range or this locality of Disaster Recovery Strategy, controls virtual machine (vm) migration module, and carries out real-time tracking to its implementation, got off by execution result with logged.
The present invention compared with the existing technology, by being provided with the deployment administration module, monitoring management module, disaster tolerance administration module, virtual machine (vm) migration module, virtual machine backup module and the deploying virtual machine module that connect successively, not only can ensure that data are not lost and apply uninterrupted, and achieve user and can have at crucial moment the data that can recover and make the production application of client uninterrupted; In addition, along with the development of intelligence science and technology of future generation, Intel Virtualization Technology more and more adopt by enterprise, achieve migration mutual between the virtualization product of different brands, bring very large convenience to backup.
[accompanying drawing explanation]
Fig. 1 is structural principle block diagram of the present invention;
Fig. 2 is workflow schematic diagram of the present invention.
[embodiment]
Below in conjunction with accompanying drawing, following further illustrating is done to the present invention:
As shown in Figure 1, the present invention includes: dispose administration module, monitoring management module, disaster tolerance administration module, deploying virtual machine module, virtual machine (vm) migration module and virtual machine backup module, the output disposing administration module connects the input of monitoring management module, the output of monitoring management module connects the input of disaster tolerance administration module, disaster tolerance administration module is connected with virtual machine (vm) migration module, virtual machine (vm) migration module, virtual machine backup module connect virtual resource pond respectively, and virtual resource pond is connected with deploying virtual machine module.
Wherein, dispose administration module and comprise user's input, scheme evaluation, schemes generation and service distribution unit and affix one's name to four submodules, wherein, user inputs submodule for the resource requirement of incoming traffic system and disaster tolerance index demand; Schemes generation submodule and service distribution unit administration submodule are used for generating deployment scheme according to resource status and user's request, and this deployment scheme comprises service, the deployment quantity of registration center and data and position; Scheme evaluation submodule adopts the fuzzy synthetic appraisement method based on entropy power to assess the deployment scheme generated.
Monitoring management module comprises server monitoring, business monitoring and abnormal reports three submodules, and monitoring management module is used for the monitoring to service host, business main frame, registration center and data run state.
Disaster tolerance administration module comprises tactical management, program management, task management and log management four submodules, disaster tolerance administration module is by carrying out analysis and modeling to business disaster tolerance management process, take out the concept of strategy, prediction scheme and task, wherein, strategy and prediction scheme are many-to-one relations, task is the instantiation of prediction scheme, when the task of generation, and prediction scheme binding task relevant parameter.
Deploying virtual machine module is for disposing and activate the virtual machine of self-configuring, and allow to have disposed the self-defined application program of virtual machine independent operating to each after system start-up, and for the responsible deploying virtual machine request processing user, and the system that is used as starts rear configuring virtual machine automatically, the business of carrying out being correlated with is installed and data configuration.The service deployment flow process of this deploying virtual machine module is followed successively by: add deployment engine to VM template, copy VM template is to target VM and configure, deployment strategy copies target VM to, establishment disk integrated deployment strategy and automation VM carry out service deployment.
Virtual machine (vm) migration module with the addition of HIT module and dirty page decelerator on the basis of Xen dynamic migration framework, total Surveillance center is utilized to read the loading condition of each business place node, and select a node relatively reliably, utilize the method for dynamic-dns or IP redirects by the business migration on a node on another one node.
Virtual machine backup module comprises replication server, replication engine, heartbeat detection and external equipment and cushions four submodules, and wherein, heartbeat detection submodule is used for backup node, carries out heartbeat detection simultaneously safeguard live-vertex list to N number of live-vertex; Replication server and replication engine submodule for transmitting control process, with the calculating of the transmission of message various in control system, the updating maintenance of each list and hashed value; External equipment buffer sublayer module is divided into meshwork buffering and disk storage to cushion two parts.
The emergency method of intelligent integral emergency system of the present invention, its workflow as shown in Figure 2, comprises the following steps:
(1) user is according to the actual disaster tolerance environment of oneself production environment, input demand model (comprises server ip, how long type of service, service port, hope does an incremental backup, reserved snapshot quantity, the indexs such as local anti-strike capability DCO), judge that whether demand model is reasonable by system, if unreasonable, require that user revises demand;
(2) if demand model is reasonable, the actual conditions generation system model of CC meeting client, forms deployment scheme;
(3) according to deployment scheme, service deployment (forming operation system mirror image in CC server) is carried out to the production environment of client;
(4) generate monitoring scheme according to selected deployment scheme, implement monitoring resource.According to the state variation of monitoring content, if reach the alert if of setting in advance, then by note, or the form of mail notifies keeper;
(5) after keeper receives the report for police service, according to Catastrophic condition, by the business Disaster Recovery Strategy preset and prediction scheme, generate disaster tolerance task and perform; If disaster scenario is not very serious, then business can be reached the standard grade again;
(6) in disaster tolerance tasks carrying process, the shell script of keeper's sets itself is called in the long-range or this locality of Disaster Recovery Strategy, controls virtual machine (vm) migration module, and carries out real-time tracking to its implementation, got off by execution result with logged.
The present invention is the virtual disaster recovery and backup systems of a new generation, is the basis of data center traffic continuity infrastructure.It devises the business disaster tolerance system comprising and dispose administration module, disaster tolerance administration module, monitoring management module, deploying virtual machine module, virtual machine (vm) migration module and virtual machine backup module.Prototype system is the architecture of hierarchy type, again for the replicability of system management flow process, have employed MVC software configuration.This system mainly adopts .net language development to complete; In order to tackle complicated handling process, using the mutual of multiple step language processing system each several part, improve system flexibility and automatization level; From cost, Software License Agreement with realize the aspects such as difficulty, after having investigated existing virtualization software, select VMWARE virtualization software as the management software of virtual resource layer; For traditional relational management system, the problem that the flexibility of data describing mode is not high, native system is used in combination XML and non-relational database system MongoDB, reduces the replicability of data modeling.Ensure that TR system has good transplantability and flexibility by above technological means.
(1) disaster tolerance is disposed and evaluation module
Disaster tolerance dispose mainly comprise that user inputs with evaluation module, scheme evaluation, schemes generation and distribution dispose four submodules.Its workflow is, disaster tolerance Resource Modeling: resource management system collects the skilled and state input resource database of current available resource, mainly comprises Service Source, registration center's resource and data resource etc.Input user's request: the resource requirement and the disaster tolerance index demand that adopt question formulation incoming traffic system.Generate deployment scheme: generate disaster tolerance deployment scheme according to resource status and user's request, comprise service, the deployment quantity of registration center and data and position, business host deployments is in Service Source.Disaster Tolerant Scheme is assessed: adopt the fuzzy synthetic appraisement method based on entropy power to assess the deployment scheme generated.
(2) DR monitoring module
DR monitoring module mainly comprises server monitoring, business monitoring and extremely reports three submodules.Main realization is to the monitoring of service host, business main frame, registration center and data run state.System adopts increase income monitoring software nagios, nrpe and nsca, achieve the hierarchy type monitoring of military operation system, and improve the monitoring software centreon that increases income, the functions such as visual control configuration, resource status display and state information graphical stat are provided for keeper.
(3) disaster tolerance administration module
Disaster tolerance administration module mainly comprises tactical management, program management, task management and log management four submodules.By carrying out analysis and modeling to business disaster tolerance management process, take out the concept of strategy, prediction scheme and task.Strategy and prediction scheme are many-to-one relations, ensure that the flexibility of prediction scheme; Task is the instantiation of prediction scheme, and when the task of generation, prediction scheme binding task relevant parameter, improves emergency response speed.
(4) deploying virtual machine module
Deploying virtual machine module achieves the virtual machine disposing fast automaticly and activate a collection of self-configuring, also allows to have disposed the self-defined application program of virtual machine independent operating to each after system start-up.The deploying virtual machine request processing user is responsible for by deploying virtual machine manager, such as, copy virtual mapping, configure new installation mirror image and configuring virtual machine hardware setting etc.Virtual machine configuration manager is mainly used as system and starts rear configuring virtual machine automatically, and the business of carrying out being correlated with is installed and data configuration, and need not manually carry out installing and configuring.
Service deployment flow process based on virtual machine is as follows:
1. add deployment engine to VM template;
2. copying VM template to target VM configures;
3. deployment strategy copies target VM to;
4. create disk and integrated deployment strategy;
5. automation VM carry out service deployment.
(5) virtual machine (vm) migration module
Virtual machine (vm) migration module is the realization of DRO dynamic migration framework in prototype system, and the basis of Xen dynamic migration framework with the addition of HIT (Hierarchical Iterative Transmit) module and dirty page decelerator.When prediction occurring or think needs migration, total Surveillance center is utilized to read the loading condition of each business place node, select a node relatively reliably, utilize the method for dynamic-dns or IP redirects by the business migration on a node on another one node.
(6) virtual machine backup module
Virtual machine backup module cushions four parts by replication server, replication engine, heartbeat detection and external equipment and forms.The heart beat detection module of backup node carries out heartbeat detection to N number of live-vertex simultaneously and safeguards live-vertex list; Replication server and replication engine are transmission control processes, and it is used for the calculating of the transmission of various message in control system, the updating maintenance of each list and hashed value; External equipment buffering is divided into two parts meshwork buffering and disk storage buffering.
The present invention, by the restriction of above-mentioned execution mode, change, the modification done, substitutes, combines, simplifies under other any does not deviate from Spirit Essence of the present invention and principle, all should be equivalent substitute mode, is included within protection scope of the present invention.
Claims (9)
1. an intelligent integral emergency system, it is characterized in that: comprise deployment administration module, monitoring management module, disaster tolerance administration module, deploying virtual machine module, virtual machine (vm) migration module and virtual machine backup module, the output of described deployment administration module connects the input of monitoring management module, the output of described monitoring management module connects the input of disaster tolerance administration module, described disaster tolerance administration module is connected with virtual machine (vm) migration module, described virtual machine (vm) migration module, virtual machine backup module connects virtual resource pond respectively, described virtual resource pond is connected with deploying virtual machine module.
2. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described deployment administration module comprises user's input, scheme evaluation, schemes generation and service distribution unit and affixes one's name to four submodules, wherein, user inputs submodule for the resource requirement of incoming traffic system and disaster tolerance index demand; Schemes generation submodule and service distribution unit administration submodule are used for generating deployment scheme according to resource status and user's request, and this deployment scheme comprises service, the deployment quantity of registration center and data and position; Scheme evaluation submodule adopts the fuzzy synthetic appraisement method based on entropy power to assess the deployment scheme generated.
3. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described monitoring management module comprises server monitoring, business monitoring and abnormal reports three submodules, monitoring management module is used for the monitoring to service host, business main frame, registration center and data run state.
4. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described disaster tolerance administration module comprises tactical management, program management, task management and log management four submodules, described disaster tolerance administration module is by carrying out analysis and modeling to business disaster tolerance management process, take out the concept of strategy, prediction scheme and task, wherein, strategy and prediction scheme are many-to-one relations, and task is the instantiation of prediction scheme, when the task of generation, prediction scheme binding task relevant parameter.
5. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described deploying virtual machine module is for disposing and activate the virtual machine of self-configuring, and allow to have disposed the self-defined application program of virtual machine independent operating to each after system start-up, and for the responsible deploying virtual machine request processing user, and the system that is used as starts rear configuring virtual machine automatically, the business of carrying out being correlated with is installed and data configuration.
6. intelligent integral emergency system as claimed in claim 1, it is characterized in that, the service deployment flow process of described deploying virtual machine module is followed successively by: add deployment engine to VM template, copy VM template is to target VM and configure, deployment strategy copies target VM to, establishment disk integrated deployment strategy and automation VM carry out service deployment.
7. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described virtual machine (vm) migration module with the addition of HIT module and dirty page decelerator on the basis of Xen dynamic migration framework, total Surveillance center is utilized to read the loading condition of each business place node, and select a node relatively reliably, utilize the method for dynamic-dns or IP redirects by the business migration on a node on another one node.
8. intelligent integral emergency system as claimed in claim 1, it is characterized in that: described virtual machine backup module comprises replication server, replication engine, heartbeat detection and external equipment and cushions four submodules, wherein, heartbeat detection submodule is used for backup node, carries out heartbeat detection simultaneously safeguard live-vertex list to N number of live-vertex; Replication server and replication engine submodule for transmitting control process, with the calculating of the transmission of message various in control system, the updating maintenance of each list and hashed value; External equipment buffer sublayer module is divided into meshwork buffering and disk storage to cushion two parts.
9. an emergency method for the intelligent integral emergency system according to any one of claim 1 to 8, is characterized in that, comprise the following steps:
(1) user is according to the actual disaster tolerance environment of oneself production environment, input demand model, judges that whether demand model is reasonable, if unreasonable, require that user revises demand by system;
(2) if demand model is reasonable, system by the actual conditions generation system model of client, can form deployment scheme;
(3) according to deployment scheme, service deployment is carried out to the production environment of client;
(4) generate monitoring scheme according to selected deployment scheme, implement monitoring resource, and according to the state variation of monitoring content, if reach the alert if of setting in advance, then notify keeper by the form of note or mail;
(5) after keeper receives the report for police service, according to Catastrophic condition, by the business Disaster Recovery Strategy preset and prediction scheme, generate disaster tolerance task and perform; If disaster scenario is not very serious, then business can be reached the standard grade again;
(6) in disaster tolerance tasks carrying process, the shell script of keeper's sets itself is called in the long-range or this locality of Disaster Recovery Strategy, controls virtual machine (vm) migration module, and carries out real-time tracking to its implementation, got off by execution result with logged.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510166294.XA CN104852814A (en) | 2015-04-09 | 2015-04-09 | Intelligent integrated emergency system and emergency method thereof |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510166294.XA CN104852814A (en) | 2015-04-09 | 2015-04-09 | Intelligent integrated emergency system and emergency method thereof |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN104852814A true CN104852814A (en) | 2015-08-19 |
Family
ID=53852181
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510166294.XA Pending CN104852814A (en) | 2015-04-09 | 2015-04-09 | Intelligent integrated emergency system and emergency method thereof |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104852814A (en) |
Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106354584A (en) * | 2016-08-30 | 2017-01-25 | 北京中科同向信息技术有限公司 | Technique based on cloud backup for disaster recovery |
| CN106713409A (en) * | 2016-10-21 | 2017-05-24 | 中国电信集团系统集成有限责任公司 | SaaS-based cloud disaster recovery system and method |
| 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 |
| CN110046064A (en) * | 2018-01-15 | 2019-07-23 | 厦门靠谱云股份有限公司 | A kind of Cloud Server disaster tolerance implementation method based on failure drift |
| CN112954264A (en) * | 2019-12-10 | 2021-06-11 | 浙江宇视科技有限公司 | Platform backup protection method and device |
| CN117544510A (en) * | 2023-11-14 | 2024-02-09 | 河北燃气有限公司 | SCADA system and protocol layer data configuration method |
-
2015
- 2015-04-09 CN CN201510166294.XA patent/CN104852814A/en active Pending
Cited By (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106354584A (en) * | 2016-08-30 | 2017-01-25 | 北京中科同向信息技术有限公司 | Technique based on cloud backup for disaster recovery |
| CN106713409A (en) * | 2016-10-21 | 2017-05-24 | 中国电信集团系统集成有限责任公司 | SaaS-based cloud disaster recovery system and method |
| 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 |
| CN110046064A (en) * | 2018-01-15 | 2019-07-23 | 厦门靠谱云股份有限公司 | A kind of Cloud Server disaster tolerance implementation method based on failure drift |
| CN112954264A (en) * | 2019-12-10 | 2021-06-11 | 浙江宇视科技有限公司 | Platform backup protection method and device |
| CN112954264B (en) * | 2019-12-10 | 2023-04-18 | 浙江宇视科技有限公司 | Platform backup protection method and device |
| CN117544510A (en) * | 2023-11-14 | 2024-02-09 | 河北燃气有限公司 | SCADA system and protocol layer data configuration method |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11669409B2 (en) | Application migration between environments | |
| US10896104B2 (en) | Heartbeat monitoring of virtual machines for initiating failover operations in a data storage management system, using ping monitoring of target virtual machines | |
| US11294786B2 (en) | Management of internet of things devices | |
| US10552294B2 (en) | Management of internet of things devices | |
| US9870291B2 (en) | Snapshotting shared disk resources for checkpointing a virtual machine cluster | |
| CN104852814A (en) | Intelligent integrated emergency system and emergency method thereof | |
| US20210208974A1 (en) | Container-Based Application Data Protection Method and System | |
| US20200110675A1 (en) | Data backup and disaster recovery between environments | |
| CN109344000B (en) | Block chain network service platform, recovery tool, fault processing method thereof and storage medium | |
| CN102103518B (en) | System for managing resources in virtual environment and implementation method thereof | |
| US20190391880A1 (en) | Application backup and management | |
| CN111651305B (en) | Virtual machine backup method, virtual machine backup assembly and cloud computing system | |
| US11755418B2 (en) | Emulating high-frequency application-consistent snapshots by forming restore point data sets based on remote site replay of I/O commands | |
| US20210092188A1 (en) | Edge application management method and system | |
| Zhang et al. | A video cloud platform combing online and offline cloud computing technologies | |
| US11347684B2 (en) | Rolling back KUBERNETES applications including custom resources | |
| JP2016536690A (en) | Partition-based data stream processing framework | |
| CN112654978B (en) | Method, equipment and system for checking data consistency in real time in distributed heterogeneous storage system | |
| WO2016062116A1 (en) | Virtualization network backup and recovery method and corresponding device | |
| CN104573428B (en) | A kind of method and system for improving server cluster resource availability | |
| Pătraşcu et al. | Logging framework for cloud computing forensic environments | |
| CN113177088B (en) | Multi-scale simulation big data management system for material irradiation damage | |
| Garde et al. | Serverless Data Protection in Cloud | |
| US9489271B1 (en) | User interface for restoring databases | |
| JP7450726B2 (en) | Hybrid cloud asynchronous data synchronization |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20150819 |
|
| WD01 | Invention patent application deemed withdrawn after publication |