CN109859068B - Power grid data real-time synchronization system based on resource pool technology - Google Patents
Power grid data real-time synchronization system based on resource pool technology Download PDFInfo
- Publication number
- CN109859068B CN109859068B CN201811593312.2A CN201811593312A CN109859068B CN 109859068 B CN109859068 B CN 109859068B CN 201811593312 A CN201811593312 A CN 201811593312A CN 109859068 B CN109859068 B CN 109859068B
- Authority
- CN
- China
- Prior art keywords
- cdb
- level
- data
- standby
- low
- 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.)
- Active
Links
Images
Classifications
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y04—INFORMATION OR COMMUNICATION TECHNOLOGIES HAVING AN IMPACT ON OTHER TECHNOLOGY AREAS
- Y04S—SYSTEMS INTEGRATING TECHNOLOGIES RELATED TO POWER NETWORK OPERATION, COMMUNICATION OR INFORMATION TECHNOLOGIES FOR IMPROVING THE ELECTRICAL POWER GENERATION, TRANSMISSION, DISTRIBUTION, MANAGEMENT OR USAGE, i.e. SMART GRIDS
- Y04S10/00—Systems supporting electrical power generation, transmission or distribution
- Y04S10/50—Systems or methods supporting the power network operation or management, involving a certain degree of interaction with the load-side end user applications
Landscapes
- Hardware Redundancy (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Abstract
The invention relates to the field of power service application, in particular to a power grid data real-time synchronization system based on a resource pool technology, which comprises a first resource pool, a second resource pool, a monitoring system, a data synchronization module and an application monitoring module, wherein a high-level standby CDB, a medium-level CDB and a low-level CDB are distributed in the first resource pool, a high-level CDB, a medium-level CDB and a low-level CDB are distributed in the second resource pool, the high-level standby CDB is in communication connection with the high-level CDB, the medium-level standby CDB is in communication connection with the medium-level CDB, and the low-level standby CDB is in communication connection with the low-level CDB; acquiring and judging the system database instance state and the system database state in real time; the data synchronization module is used for realizing data synchronization between the first resource pool and the second resource pool when the database instance is changed or the system fails, so that session connection between the application and the database is ensured.
Description
Technical Field
The invention relates to the technical field of power grid business, in particular to a power grid data real-time synchronization system based on a resource pool technology.
Background
The power enterprise information system is huge and complex in structure, along with the development of power informatization, the power business forms are gradually enriched, the data volume is also increased, the scale and the complexity are increased, massive concurrent data are required to be processed in real time and are reliably stored, and new challenges are provided for the deployment and the safety of a database.
For disaster recovery (Disaster Recovery), 2 (or more) data centers are generally built, one is a main data center for bearing the business of the user, and the other is a backup data center for backing up the data, configuration, business and the like of the main data center; the dual-activity backup can be used as a means for solving the problem of reliable storage of mass data, and the dual-activity is that the backup is too wasteful for the standby data center, so that the two data centers of the main and the standby are simultaneously responsible for the service of the user, and at the moment, the two data centers of the main and the standby are mutually backed up and are backed up in real time; in general, the load of the main data center may be more, for example, 60-70% of the services are shared, and the standby data center only shares 40-30% of the services.
The Oracle 12-based database resource pool can be used as a deployment means for solving the real-time processing of massive concurrent data, wherein CDB and PDB are new characteristics introduced by Oracle12C, and in a multi-tenant environment (Multitenant Environment) introduced by an ORACLE12C database, one database Container (CDB) is allowed to bear a plurality of Pluggable Databases (PDB). The CDB is called Container Database, the Chinese is translated into a database container, and the PDB is called Pluggable Database, namely the pluggable database. Before ORACLE12C, the instance is in a one-to-one or many-to-one relationship with the database, i.e., an instance can only be associated with one database, which can be loaded by multiple instances. And an instance may not be in a one-to-many relationship with a database. Upon entering ORACLE12C, the instance may be in a one-to-many relationship with the database.
How to ensure the reliable storage of the power grid business data, thereby effectively ensuring the stable operation of the power grid business becomes a worth solving problem.
Disclosure of Invention
The invention provides a real-time synchronization system for power grid data based on a resource pool technology, which can effectively ensure the reliable storage of power service data, thereby effectively ensuring the stable operation of power grid service.
The invention provides a real-time synchronization system of power grid data based on a resource pool technology, which comprises a first resource pool, a second resource pool, a monitoring system, a data synchronization module and an application monitoring module, wherein the first resource pool is distributed with a high-level standby CDB, a medium-level CDB and a low-level CDB, the second resource pool is distributed with the high-level CDB, the medium-level standby CDB and the low-level standby CDB, the high-level standby CDB and the high-level CDB are in communication connection, the medium-level standby CDB and the medium-level CDB are in communication connection, and the low-level standby CDB and the low-level CDB are in communication connection;
the monitoring system is used for collecting and judging the system database instance state and the system database state in real time;
when the system database instance state is changed, determining that the database instance is changed;
when the system database is in a downtime or forbidden state, judging that the system fails;
the data synchronization module is used for realizing data synchronization between the first resource pool and the second resource pool when the database instance is changed or the system fails;
the application monitoring module is used for processing session connection between the application and the database.
Further, the database instance change includes: database instance data changes for high-level CDBs, database instance data changes for medium-level CDBs, database instance data changes for low-level CDBs.
Further, when the database instance data of the advanced CDB is changed, the following steps are performed by the data synchronization module:
recording the redo data into an advanced CDB change data queue;
synchronizing the redo data generated in the advanced CDB to the advanced standby CDB of the first resource pool in real time, and writing the redo data into a local redo log in the advanced CDB;
the advanced CDB change data queue data is updated in real time.
Further, when the database instance data of the intermediate CDB is changed, the following steps are executed by the data synchronization module:
recording the redo data into a medium-level CDB change data queue;
the redo data generated in the intermediate CDB are synchronized to the intermediate standby CDB in the second resource pool in real time, and written into a local redo log in the intermediate CDB;
the intermediate CDB change data queue data is updated in real time.
Further, when the database instance data of the low-level CDB is changed, the following steps are performed by the data synchronization module:
recording the redo data into a low-level CDB change data queue;
synchronizing the redo data generated in the low-level CDB to the low-level standby CDB of the second resource pool in real time, and writing the redo data into a local redo log in the low-level CDB;
updating the low-level CDB change data queue data in real time.
Further, the system failure includes a high-level CDB failure, a medium-level CDB failure, and a low-level CDB failure.
Further, when the advanced CDB fails, data real-time synchronization is achieved by:
recording the high-level CDB state into a high-level standby CDB state data queue, wherein the high-level CDB main state is opened, and the high-level standby CDB slave state is closed;
stopping advanced CDB application listening;
switching the high-level CDB from a main state to a standby state, modifying a high-level standby CDB state data queue mark, changing the main state of the high-level CDB from on to off, and changing the state of the high-level standby CDB from off to on;
recording change data in the advanced standby CDB in the first resource pool into an advanced CDB change data queue;
the data synchronization module is used for synchronizing the redo data generated in the advanced CDB to the advanced CDB of the second resource pool in real time and updating the data queue data of the advanced CDB;
and starting an advanced standby CDB database in the first resource pool, and connecting an application system through an application monitoring module.
Further, when the intermediate CDB fails, the data real-time synchronization is achieved by:
recording the intermediate CDB state into an intermediate standby CDB state data queue, wherein the intermediate CDB master state is open, and the intermediate standby CDB slave state is closed;
stopping the intermediate CDB application monitoring;
and switching the intermediate CDB from the main state to the standby state, modifying the intermediate standby CDB state data queue mark, changing the intermediate CDB main state from on to off, and changing the intermediate standby CDB from off to on.
Recording the change data in the intermediate standby CDB of the second resource pool into an intermediate CDB change data queue;
the method comprises the steps that redo data generated in a middle-level CDB of a first resource pool are synchronized to the middle-level CDB of the first resource pool in real time through a data synchronization module, and data of a change data queue of the middle-level CDB are updated;
and starting a medium-level standby CDB database in the second resource pool, and connecting an application system through an application monitoring module.
Further, when the low-level CDB fails, the real-time synchronization of data is realized by the following steps:
the low-level CDB state is recorded in a low-level standby CDB state data queue, the low-level CDB main state is opened, and the low-level standby CDB slave state is closed.
Stopping low-level CDB application monitoring;
switching the low-level CDB from a main state to a standby state, modifying a low-level standby CDB state data queue mark, changing the main state of the low-level CDB from on to off, and changing the slave state of the low-level standby CDB from off to on;
recording change data in the low-level standby CDB of the second resource pool into a low-level CDB change data queue;
the method comprises the steps that redo data generated in low-level CDB are synchronized to the low-level CDB of a first resource pool in real time through a data synchronization module, and low-level CDB change data queue data are updated;
and starting a low-level standby CDB database in the second resource pool, and connecting an application system through an application monitoring module.
Further, the advanced CDB is configured to allocate power grid data of the external network system data center and the protection level is three or more; the medium-grade CDB is used for distributing the power grid data of the medium-grade system with the protection grade of two or more; the low-level CDB is used for distributing power grid data of an intranet small-sized system, and the protection level is five in total.
The beneficial effects of the invention are as follows: the invention discloses a real-time synchronization system of power grid data based on a resource pool technology, which comprises a first resource pool, a second resource pool, a monitoring system, a data synchronization module and an application monitoring module, wherein a high-level standby CDB, a medium-level CDB and a low-level CDB are distributed in the first resource pool, a high-level CDB, a medium-level standby CDB and a low-level standby CDB are distributed in the second resource pool, the high-level standby CDB is in communication connection with the high-level CDB, the medium-level standby CDB is in communication connection with the medium-level CDB, and the low-level standby CDB is in communication connection with the low-level CDB; acquiring and judging the system database instance state and the system database state in real time; the data synchronization module is used for realizing data synchronization between the first resource pool and the second resource pool when the database instance is changed or the system fails, so that session connection between the application and the database is ensured.
Drawings
The invention is further described below with reference to the drawings and examples.
FIG. 1 is a block diagram of a real-time synchronization system for grid data based on a resource pool technique in accordance with an embodiment of the present invention;
FIG. 2 is a flow chart of data real-time synchronization of advanced CDB in the event of system failure in an embodiment of the present invention;
FIG. 3 is a flow chart of data real-time synchronization of a mid-level CDB when a system fails in an embodiment of the present invention;
fig. 4 is a flow chart of data real-time synchronization of a low-level CDB when a system fails in an embodiment of the present invention.
Detailed Description
Referring to fig. 1, the system provided by the invention comprises a first resource pool, a second resource pool, a monitoring system, a data synchronization module and an application monitoring module, wherein a high-level standby CDB, a medium-level CDB and a low-level CDB are distributed in the first resource pool, a high-level CDB, a medium-level standby CDB and a low-level standby CDB are distributed in the second resource pool, the high-level standby CDB and the high-level CDB are in communication connection, the medium-level standby CDB and the medium-level CDB are in communication connection, and the low-level standby CDB and the low-level CDB are in communication connection;
in this embodiment, the first resource pool is allocated with 1 high-level standby CDB, 2 medium-level CDBs and 1 low-level CDB, and the second resource pool is allocated with 2 high-level CDBs, 1 medium-level standby CDB and 1 low-level standby CDB;
and the data between the high-level standby CDB and the high-level CDB are synchronized in real time, the data between the medium-level standby CDB and the medium-level CDB are synchronized in real time, and the data between the low-level standby CDB and the low-level CDB are synchronized in real time, so that a high-availability cross-each other is formed as a main and standby system architecture.
The monitoring system is used for collecting and judging the system database instance state and the system database state in real time;
when the state of the system database instance acquired by the monitoring system in real time is changed, determining that the database instance is changed;
when the system database state acquired by the monitoring system in real time is downtime and/or disabled, judging that the system fails;
the data synchronization module is used for realizing data synchronization between the first resource pool and the second resource pool when the database instance is changed or the system fails;
the application monitoring module is used for processing session connection between the application and the database.
As a further improvement of the present embodiment, the database instance change includes: database instance data changes for high-level CDBs, database instance data changes for medium-level CDBs, database instance data changes for low-level CDBs.
Further, when the database instance data of the advanced CDB is changed, the following steps are performed by the data synchronization module:
recording the redo data into an advanced CDB change data queue;
synchronizing the redo data generated in the advanced CDB to the advanced standby CDB of the first resource pool in real time, and writing the redo data into a local redo log in the advanced CDB;
the advanced CDB change data queue data is updated in real time.
Further, when the database instance data of the intermediate CDB is changed, the following steps are executed by the data synchronization module:
recording the redo data into a medium-level CDB change data queue;
the redo data generated in the intermediate CDB are synchronized to the intermediate standby CDB in the second resource pool in real time, and written into a local redo log in the intermediate CDB;
the intermediate CDB change data queue data is updated in real time.
Further, when the database instance data of the low-level CDB is changed, the following steps are performed by the data synchronization module:
recording the redo data into a low-level CDB change data queue;
synchronizing the redo data generated in the low-level CDB to the low-level standby CDB of the second resource pool in real time, and writing the redo data into a local redo log in the low-level CDB;
updating the low-level CDB change data queue data in real time.
As a further improvement of the present embodiment, the system failure includes a high-level CDB failure, a medium-level CDB failure, a low-level CDB failure.
Referring to fig. 2-4, when a fault occurs, a grid data transfer switch is performed by:
step S100, recording the high-level CDB state into a high-level standby CDB state data queue, wherein the high-level CDB main state is opened, and the high-level standby CDB slave state is closed;
recording the intermediate CDB state into an intermediate standby CDB state data queue, wherein the intermediate CDB master state is open, and the intermediate standby CDB slave state is closed;
recording the low-level CDB state into a low-level standby CDB state data queue, wherein the low-level CDB main state is opened, and the low-level standby CDB slave state is closed;
further, the data real-time synchronization of the advanced CDB is achieved by:
step S210, stopping the monitoring of the advanced CDB application when judging that the advanced CDB fails;
step S220, switching the high-level CDB from a main state to a standby state, modifying a high-level standby CDB state data queue mark, changing the main state of the high-level CDB from on to off, and changing the slave state of the high-level standby CDB from off to on;
step S230, recording the change data in the advanced standby CDB in the first resource pool into an advanced CDB change data queue;
step S240, the redo data generated in the advanced CDB are synchronized to the advanced CDB of the second resource pool in real time through a data synchronization module, and the advanced CDB change data queue data are updated;
and step S250, enabling an advanced standby CDB database in the first resource pool, and connecting an application system through an application monitoring module.
Further, the data real-time synchronization of the intermediate CDB is achieved by:
step S310, stopping the monitoring of the intermediate CDB application when judging that the intermediate CDB fails;
step S320, switching the intermediate CDB from the main state to the standby state, modifying the intermediate standby CDB state data queue mark, changing the intermediate CDB main state from on to off, and changing the intermediate standby CDB from off to on;
step S330, recording the change data in the middle-level standby CDB of the second resource pool into a middle-level CDB change data queue;
step S340, the reworked data generated in the middle-level CDB of the first resource pool are synchronized to the middle-level CDB of the first resource pool in real time through a data synchronization module, and the data of a data queue of the middle-level CDB is updated;
and step S350, enabling a medium-level standby CDB database in the second resource pool, and connecting an application system through the application monitoring module.
Further, the data real-time synchronization of the low-level CDB is realized by the following steps:
step S410, stopping low-level CDB application monitoring when judging that the low-level CDB fails;
step S420, switching the low-level CDB from a main state to a standby state, modifying a low-level standby CDB state data queue mark, changing the main state of the low-level CDB from on to off, and changing the slave state of the low-level standby CDB from off to on;
step S430, recording the change data in the low-level standby CDB of the second resource pool into a low-level CDB change data queue;
step S440, the reworked data generated in the low-level CDB are synchronized to the low-level CDB of the first resource pool in real time through a data synchronization module, and the low-level CDB change data queue data are updated;
and S450, starting a low-level standby CDB database in the second resource pool, and connecting an application system through an application monitoring module.
Further, the advanced CDB is configured to allocate power grid data of the data center area of the external network system, where the protection level is three or more; the medium-grade CDB is used for distributing the power grid data of the medium-grade system with the protection grade of two or more; the low-level CDB is used for distributing power grid data of an intranet small-sized system, the protection level is five, and the higher the level is, the more important the data security is.
The present invention is not limited to the above embodiments, but is merely preferred embodiments of the present invention, and the present invention should be construed as being limited to the above embodiments as long as the technical effects of the present invention are achieved by the same means.
Claims (6)
1. The system is characterized by comprising a first resource pool, a second resource pool, a monitoring system, a data synchronization module and an application monitoring module, wherein the first resource pool is distributed with a high-level standby CDB, a medium-level CDB and a low-level CDB, the second resource pool is distributed with the high-level CDB, the medium-level standby CDB and the low-level standby CDB, the high-level standby CDB and the high-level CDB are in communication connection, the medium-level standby CDB and the medium-level CDB are in communication connection, and the low-level standby CDB and the low-level CDB are in communication connection;
the monitoring system is used for collecting and judging the system database instance state and the system database state in real time;
when the system database instance state is changed, determining that the database instance is changed;
when the system database is in a downtime or forbidden state, judging that the system fails;
the data synchronization module is used for realizing data synchronization between the first resource pool and the second resource pool when the database instance is changed or the system fails;
the application monitoring module is used for processing session connection between the application and the database;
the database instance change includes: database instance data changes for high-level CDBs, database instance data changes for medium-level CDBs, database instance data changes for low-level CDBs;
when the database instance data of the advanced CDB is changed, the following steps are executed through a data synchronization module:
recording the redo data into an advanced CDB change data queue;
synchronizing the redo data generated in the advanced CDB to the advanced standby CDB of the first resource pool in real time, and writing the redo data into a local redo log in the advanced CDB;
updating the advanced CDB change data queue data in real time;
when the database instance data of the medium-level CDB is changed, the following steps are executed through a data synchronization module:
recording the redo data into a medium-level CDB change data queue;
the redo data generated in the intermediate CDB are synchronized to the intermediate standby CDB in the second resource pool in real time, and written into a local redo log in the intermediate CDB;
updating the middle CDB change data queue data in real time;
when the database instance data of the low-level CDB is changed, the following steps are executed through a data synchronization module:
recording the redo data into a low-level CDB change data queue;
synchronizing the redo data generated in the low-level CDB to the low-level standby CDB of the second resource pool in real time, and writing the redo data into a local redo log in the low-level CDB;
updating the low-level CDB change data queue data in real time.
2. The real-time synchronization system for power grid data based on the resource pool technique according to claim 1, wherein the system failure comprises an advanced CDB failure, a medium CDB failure, and a low CDB failure.
3. The real-time synchronization system for power grid data based on the resource pool technique according to claim 2, wherein when the advanced CDB fails, the real-time synchronization of data is achieved by:
recording the high-level CDB state into a high-level standby CDB state data queue, wherein the high-level CDB main state is opened, and the high-level standby CDB slave state is closed;
stopping advanced CDB application listening;
switching the high-level CDB from a main state to a standby state, modifying a high-level standby CDB state data queue mark, changing the main state of the high-level CDB from on to off, and changing the state of the high-level standby CDB from off to on;
recording change data in the advanced standby CDB in the first resource pool into an advanced CDB change data queue;
the data synchronization module is used for synchronizing the redo data generated in the advanced CDB to the advanced CDB of the second resource pool in real time and updating the data queue data of the advanced CDB;
and starting an advanced standby CDB database in the first resource pool, and connecting an application system through an application monitoring module.
4. A real-time synchronization system for power grid data based on resource pool technology according to claim 3, wherein when said intermediate CDB fails, the real-time synchronization of data is achieved by:
recording the intermediate CDB state into an intermediate standby CDB state data queue, wherein the intermediate CDB master state is open, and the intermediate standby CDB slave state is closed;
stopping the intermediate CDB application monitoring;
switching the intermediate CDB from a main state to a standby state, modifying an intermediate standby CDB state data queue mark, changing the intermediate CDB main state from on to off, and changing the intermediate standby CDB from off to on;
recording the change data in the intermediate standby CDB of the second resource pool into an intermediate CDB change data queue;
the method comprises the steps that redo data generated in a middle-level CDB of a first resource pool are synchronized to the middle-level CDB of the first resource pool in real time through a data synchronization module, and data of a change data queue of the middle-level CDB are updated;
and starting a medium-level standby CDB database in the second resource pool, and connecting an application system through an application monitoring module.
5. The real-time synchronization system for power grid data based on the resource pool technique according to claim 4, wherein when said low-level CDB fails, the real-time synchronization of data is achieved by:
recording the low-level CDB state into a low-level standby CDB state data queue, wherein the low-level CDB main state is opened, and the low-level standby CDB slave state is closed;
stopping low-level CDB application monitoring;
switching the low-level CDB from a main state to a standby state, modifying a low-level standby CDB state data queue mark, changing the main state of the low-level CDB from on to off, and changing the slave state of the low-level standby CDB from off to on;
recording change data in the low-level standby CDB of the second resource pool into a low-level CDB change data queue;
the method comprises the steps that redo data generated in low-level CDB are synchronized to the low-level CDB of a first resource pool in real time through a data synchronization module, and low-level CDB change data queue data are updated;
and starting a low-level standby CDB database in the second resource pool, and connecting an application system through an application monitoring module.
6. The real-time synchronization system for power grid data based on the resource pool technology according to claim 5, wherein the advanced CDB is used for distributing the power grid data of the data center area of the external network system with three or more protection level; the medium-grade CDB is used for distributing the power grid data of the medium-grade system with the protection grade of two or more; the low-level CDB is used for distributing power grid data of an intranet small-sized system, and the protection level is five in total.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811593312.2A CN109859068B (en) | 2018-12-25 | 2018-12-25 | Power grid data real-time synchronization system based on resource pool technology |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811593312.2A CN109859068B (en) | 2018-12-25 | 2018-12-25 | Power grid data real-time synchronization system based on resource pool technology |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN109859068A CN109859068A (en) | 2019-06-07 |
| CN109859068B true CN109859068B (en) | 2023-07-04 |
Family
ID=66892226
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811593312.2A Active CN109859068B (en) | 2018-12-25 | 2018-12-25 | Power grid data real-time synchronization system based on resource pool technology |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109859068B (en) |
Families Citing this family (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US12008014B2 (en) | 2021-07-30 | 2024-06-11 | Oracle International Corporation | Data guard at PDB (pluggable database) level |
| CN114202365A (en) * | 2021-12-15 | 2022-03-18 | 广东电力信息科技有限公司 | Monitoring method based on real-time data of marketing system in power industry |
| CN117724325B (en) * | 2024-02-08 | 2024-05-24 | 北京和利时***工程有限公司 | Safety computer platform of railway signal control system |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107612960A (en) * | 2017-07-21 | 2018-01-19 | 国网重庆市电力公司 | Integral control system in dispatching of power netwoks |
| WO2018084796A1 (en) * | 2016-11-03 | 2018-05-11 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods and apparatus for sidelink wireless communications |
| WO2018171565A1 (en) * | 2017-03-21 | 2018-09-27 | 华为技术有限公司 | Disaster recovery deployment method, device and system |
| CN109034521A (en) * | 2018-06-07 | 2018-12-18 | 国电南瑞科技股份有限公司 | A kind of intelligent O&M architecture design method of dispatching of power netwoks control system |
-
2018
- 2018-12-25 CN CN201811593312.2A patent/CN109859068B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2018084796A1 (en) * | 2016-11-03 | 2018-05-11 | Telefonaktiebolaget Lm Ericsson (Publ) | Methods and apparatus for sidelink wireless communications |
| WO2018171565A1 (en) * | 2017-03-21 | 2018-09-27 | 华为技术有限公司 | Disaster recovery deployment method, device and system |
| CN107612960A (en) * | 2017-07-21 | 2018-01-19 | 国网重庆市电力公司 | Integral control system in dispatching of power netwoks |
| CN109034521A (en) * | 2018-06-07 | 2018-12-18 | 国电南瑞科技股份有限公司 | A kind of intelligent O&M architecture design method of dispatching of power netwoks control system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN109859068A (en) | 2019-06-07 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| EP3754514A1 (en) | Distributed database cluster system, data synchronization method and storage medium | |
| CN109859068B (en) | Power grid data real-time synchronization system based on resource pool technology | |
| CN111314149B (en) | System for realizing unified monitoring operation and maintenance management based on multiple edge cloud platforms | |
| CN102411639B (en) | Multi-copy storage management method and system of metadata | |
| US9875266B2 (en) | Restoring database consistency integrity | |
| CN113641511B (en) | Message communication method and device | |
| US10565071B2 (en) | Smart data replication recoverer | |
| CN103345470B (en) | A kind of database disaster recovery method, system and server | |
| CN109582443A (en) | Virtual machine standby system based on distributed storage technology | |
| CN107402722B (en) | Data migration method and storage device | |
| KR20110044858A (en) | Maintain data indetermination in data servers across data centers | |
| CN106776121B (en) | Data disaster recovery device, system and method | |
| CN106933843B (en) | Database heartbeat detection method and device | |
| CN105468476B (en) | Data disaster recovery and backup systems based on HDFS | |
| US9037905B2 (en) | Data processing failure recovery method, system and program | |
| US20200167239A1 (en) | Systems and methods for managing replication of data to a remote storage device | |
| CN108964986B (en) | Application-level double-active disaster recovery system of cooperative office system | |
| CN102761528A (en) | System and method for data management | |
| EP3480705B1 (en) | Database data modification request processing method and apparatus | |
| CN104994168A (en) | distributed storage method and distributed storage system | |
| CN105049258B (en) | The data transmission method of network disaster tolerance system | |
| US20190391740A1 (en) | Zero-data loss recovery for active-active sites configurations | |
| CN106919473A (en) | A kind of data disaster recovery and backup systems and method for processing business | |
| US20090063486A1 (en) | Data replication using a shared resource | |
| CN103384266A (en) | Parastor200 management node high availability method based on real-time synchronization at file level |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |