CN108322332A - A kind of data disaster response system and method - Google Patents
A kind of data disaster response system and method Download PDFInfo
- Publication number
- CN108322332A CN108322332A CN201711461780.XA CN201711461780A CN108322332A CN 108322332 A CN108322332 A CN 108322332A CN 201711461780 A CN201711461780 A CN 201711461780A CN 108322332 A CN108322332 A CN 108322332A
- Authority
- CN
- China
- Prior art keywords
- disaster
- module
- traffic flow
- flow information
- information
- 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
- H04L41/14—Network analysis or design
- H04L41/145—Network analysis or design involving simulating, designing, planning or modelling of a network
-
- 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
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0823—Errors, e.g. transmission errors
- H04L43/0847—Transmission error
Abstract
The present invention relates to a kind of data disaster response system and method, system includes information acquisition module, information analysis module, disaster analog module and disaster control module, and described information acquisition module is used to acquire the traffic flow information on network node；Whether the traffic flow information that described information analysis module is used to analyze the acquisition of described information acquisition module is normal, and gives abnormal data stream information transmission to disaster analog module；The disaster analog module is used to establish the disaster model of the disaster caused by abnormal traffic flow information according to abnormal traffic flow information；The disaster control module is responded according to the disaster model for controlling corresponding network node, to eliminate abnormal traffic flow information caused by disaster.The present invention by simulate come disaster model cootrol network node make corresponding corresponding, avoid influence of the traffic flow information disaster to network node.
Description
Technical field
The present invention relates to information disaster fields, and in particular to a kind of data disaster response system and method.
Background technology
Currently, with the arrival in big data epoch, high performance network is increasingly paid close attention to by society.However it is calculating
In the application process of machine network, there is a possibility that generation network node data stream information is abnormal, such as middle hair on network node
The problems such as raw loss of data；If this problem is not handled timely, disaster can be caused to entire network.
Invention content
Technical problem to be solved by the invention is to provide a kind of data disaster response system and methods, can avoid network
Disaster caused by abnormal traffic flow information again on node.
The technical solution that the present invention solves above-mentioned technical problem is as follows：A kind of data disaster response system, including information are adopted
Collect module, information analysis module, disaster analog module and disaster control module,
Described information acquisition module is used to acquire the traffic flow information on network node；
Whether the traffic flow information that described information analysis module is used to analyze the acquisition of described information acquisition module is normal, and will
Abnormal data stream information transmission gives disaster analog module；
The disaster analog module is used to be established according to abnormal traffic flow information to be drawn by abnormal traffic flow information
The disaster model of the disaster risen；
The disaster control module is responded for controlling corresponding network node according to the disaster model, to eliminate not
Disaster caused by normal data stream information.
Based on the above technical solution, the present invention can also be improved as follows.
Further, described information acquisition module carries out traffic flow information acquisition according to predetermined period, and the disaster simulates mould
Root tuber establishes disaster model according to abnormal traffic flow information in predetermined period.
Further, be also equipped with disaster alarm module in described information analysis module, the disaster alarm module for pair
Abnormal traffic flow information that information analysis module analyzes carries out alert process.
Further, alert levels model is prestored in the disaster alarm module, the disaster alarm module is according to alarm
Level model carries out corresponding alert process.
Further, further include feedback module, the feedback module is for detecting after disaster control module control
Corresponding network node traffic flow information it is whether normal, and the result detected is sent to described information analysis module, and
Control described information analysis module reanalyses.
The beneficial effects of the invention are as follows：Disaster analog module can be according to net in a kind of data disaster response system of the present invention
Abnormal traffic flow information on network node simulates the traffic flow information disaster that will free on the network node.Pass through mould
It draws up the disaster model cootrol network node come and makes corresponding corresponding, avoid shadow of the traffic flow information disaster to network node
It rings.
Based on a kind of above-mentioned data disaster response system, the present invention also provides a kind of data disaster response method,
A kind of data disaster response method, includes the following steps,
S1, institute's information acquisition module acquire the traffic flow information on network node；
S2, whether the traffic flow information that information analysis module analyzes the acquisition of described information acquisition module is normal, and will not just
Normal data stream information transmission gives disaster analog module；
S3, disaster analog module establish the calamity caused by abnormal traffic flow information according to abnormal traffic flow information
Difficult disaster model；
S4, disaster control module control corresponding network node is responded according to disaster model, to eliminate abnormal data
Disaster caused by stream information.
Based on the above technical solution, the present invention can also be improved as follows.
Further, described information acquisition module carries out traffic flow information acquisition according to predetermined period, and the disaster simulates mould
Root tuber establishes disaster model according to abnormal traffic flow information in predetermined period.
Further, disaster alarm module is also equipped in described information analysis module, the disaster alarm module is to information
Abnormal traffic flow information that analysis module analyzes carries out alert process.
Further, institute's disaster is stated and prestores alert levels model in alarm module, and the disaster alarm module is according to alarm
Level model carries out corresponding alert process.
Further, further include S5,
S5, the traffic flow information that feedback module detects the corresponding network node after disaster control module control are
It is no normal, and the result detected is sent to described information analysis module, and control described information analysis module and reanalyse.
The beneficial effects of the invention are as follows：Disaster analog module can be according to net in a kind of data disaster response method of the present invention
Abnormal traffic flow information on network node simulates the traffic flow information disaster that will free on the network node.Pass through mould
It draws up the disaster model cootrol network node come and makes corresponding corresponding, avoid shadow of the traffic flow information disaster to network node
It rings.
Description of the drawings
Fig. 1 is a kind of overall structure block diagram of data disaster response system of the present invention；
Fig. 2 is a kind of flow chart of data disaster response method of the present invention.
Specific implementation mode
The principle and features of the present invention will be described below with reference to the accompanying drawings, and the given examples are served only to explain the present invention, and
It is non-to be used to limit the scope of the present invention.
As shown in Figure 1, a kind of data disaster response system, including the simulation of information acquisition module, information analysis module, disaster
Module and disaster control module,
Described information acquisition module is used to acquire the traffic flow information on network node；
Whether the traffic flow information that described information analysis module is used to analyze the acquisition of described information acquisition module is normal, and will
Abnormal data stream information transmission gives disaster analog module；
The disaster analog module is used to be established according to abnormal traffic flow information to be drawn by abnormal traffic flow information
The disaster model of the disaster risen；
The disaster control module is responded for controlling corresponding network node according to the disaster model, to eliminate not
Disaster caused by normal data stream information.
Specifically：Described information acquisition module carries out traffic flow information acquisition according to predetermined period, and the disaster simulates mould
Root tuber establishes disaster model according to abnormal traffic flow information in predetermined period.
Disaster alarm module is also equipped in described information analysis module, the disaster alarm module is used for information analysis
Abnormal traffic flow information that module analysis goes out carries out alert process.
Alert levels model is prestored in the disaster alarm module, the disaster alarm module is according to alert levels model
Carry out corresponding alert process.
The invention also includes feedback module, the feedback module is for detecting after disaster control module control
Whether the traffic flow information of corresponding network node is normal, and the result detected is sent to described information analysis module, and controls
Described information analysis module processed reanalyses.
Disaster analog module can be according to the abnormal number on network node in a kind of data disaster response system of the present invention
The traffic flow information disaster that will free on the network node is simulated according to stream information.By simulate come disaster model control
Network node processed is made corresponding corresponding, avoids influence of the traffic flow information disaster to network node.
Based on a kind of above-mentioned data disaster response system, the present invention also provides a kind of data disaster response method,
As shown in Fig. 2, a kind of data disaster response method, includes the following steps,
S1, institute's information acquisition module acquire the traffic flow information on network node；
S2, whether the traffic flow information that information analysis module analyzes the acquisition of described information acquisition module is normal, and will not just
Normal data stream information transmission gives disaster analog module；
S3, disaster analog module establish the calamity caused by abnormal traffic flow information according to abnormal traffic flow information
Difficult disaster model；
S4, disaster control module control corresponding network node is responded according to disaster model, to eliminate abnormal data
Disaster caused by stream information.
Specifically：
Described information acquisition module carries out traffic flow information acquisition according to predetermined period, and the disaster analog module is according to pre-
If abnormal traffic flow information establishes disaster model in the period.
Disaster alarm module is also equipped in described information analysis module, the disaster alarm module is to information analysis module
The abnormal traffic flow information analyzed carries out alert process.
Institute's disaster is stated and prestores alert levels model in alarm module, and the disaster alarm module is according to alert levels model
Carry out corresponding alert process.
The invention also includes S5, S5, corresponding network section of the feedback module detection after disaster control module control
Whether the traffic flow information of point is normal, and the result detected is sent to described information analysis module, and controls described information
Analysis module reanalyses.
Disaster analog module can be according to the abnormal number on network node in a kind of data disaster response system of the present invention
The traffic flow information disaster that will free on the network node is simulated according to stream information.By simulate come disaster model control
Network node processed is made corresponding corresponding, avoids influence of the traffic flow information disaster to network node.
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all the present invention spirit and
Within principle, any modification, equivalent replacement, improvement and so on should all be included in the protection scope of the present invention.
Claims (10)
1. a kind of data disaster response system, it is characterised in that：Including information acquisition module, information analysis module, disaster simulation
Module and disaster control module,
Described information acquisition module is used to acquire the traffic flow information on network node；
Whether the traffic flow information that described information analysis module is used to analyze the acquisition of described information acquisition module is normal, and will not just
Normal data stream information transmission gives disaster analog module；
The disaster analog module is used to be established caused by abnormal traffic flow information according to abnormal traffic flow information
The disaster model of disaster；
The disaster control module is responded for controlling corresponding network node according to the disaster model, abnormal to eliminate
Disaster caused by traffic flow information.
2. a kind of data disaster response system according to claim 1, it is characterised in that：Described information acquisition module according to
Predetermined period carries out traffic flow information acquisition, and the disaster analog module is built according to abnormal traffic flow information in predetermined period
Vertical disaster model.
3. a kind of data disaster response system according to claim 1 or 2, it is characterised in that：Described information analysis module
On be also equipped with disaster alarm module, abnormal data that the disaster alarm module is used to analyze information analysis module
Stream information carries out alert process.
4. a kind of data disaster response system according to claim 3, it is characterised in that：Institute's disaster is stated pre- in alarm module
There is alert levels model, the disaster alarm module carries out corresponding alert process according to alert levels model.
5. a kind of data disaster response system according to claim 1 or 2, it is characterised in that：Further include feedback module, institute
Feedback module is stated for whether just to detect the traffic flow information of the corresponding network node after disaster control module control
Often, and by the result detected it is sent to described information analysis module, and controls described information analysis module and reanalyses.
6. a kind of data disaster response method, it is characterised in that：Include the following steps,
S1, institute's information acquisition module acquire the traffic flow information on network node；
S2, whether the traffic flow information that information analysis module analyzes the acquisition of described information acquisition module is normal, and will be abnormal
Data stream information transmission gives disaster analog module；
S3, disaster analog module establish the disaster caused by abnormal traffic flow information according to abnormal traffic flow information
Disaster model；
S4, disaster control module control corresponding network node are responded according to disaster model, are believed with eliminating abnormal data flow
Disaster caused by breath.
7. a kind of data disaster response method according to claim 6, it is characterised in that：Described information acquisition module according to
Predetermined period carries out traffic flow information acquisition, and the disaster analog module is built according to abnormal traffic flow information in predetermined period
Vertical disaster model.
8. a kind of data disaster response method described according to claim 6 or 7, it is characterised in that：Described information analysis module
On be also equipped with disaster alarm module, the disaster alarm module believes abnormal data flow that information analysis module analyzes
Breath carries out alert process.
9. a kind of data disaster response method according to claim 8, it is characterised in that：Institute's disaster is stated pre- in alarm module
There is alert levels model, the disaster alarm module carries out corresponding alert process according to alert levels model.
10. a kind of data disaster response method described according to claim 6 or 7, it is characterised in that：Further include S5,
S5, just whether the traffic flow information of corresponding network node of the feedback module detection after disaster control module control
Often, and by the result detected it is sent to described information analysis module, and controls described information analysis module and reanalyses.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711461780.XA CN108322332A (en) | 2017-12-28 | 2017-12-28 | A kind of data disaster response system and method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711461780.XA CN108322332A (en) | 2017-12-28 | 2017-12-28 | A kind of data disaster response system and method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN108322332A true CN108322332A (en) | 2018-07-24 |
Family
ID=62892615
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711461780.XA Pending CN108322332A (en) | 2017-12-28 | 2017-12-28 | A kind of data disaster response system and method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN108322332A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112711510A (en) * | 2020-12-29 | 2021-04-27 | 长威信息科技发展股份有限公司 | Automatic adaptation method and system for monitoring service continuity operation |
Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102130800A (en) * | 2011-04-01 | 2011-07-20 | 苏州赛特斯网络科技有限公司 | Device and method for detecting network access abnormality based on data stream behavior analysis |
| CN102238062A (en) * | 2010-04-20 | 2011-11-09 | 中兴通讯股份有限公司 | Exception handling method and system for network processor |
| CN103457791A (en) * | 2013-08-19 | 2013-12-18 | 国家电网公司 | Self-diagnosis method of network sampling and control link of intelligent substation |
| CN106656627A (en) * | 2017-01-09 | 2017-05-10 | 周向军 | Performance monitoring and fault positioning method based on service |
| CN106789239A (en) * | 2016-12-21 | 2017-05-31 | 国网江西省电力公司信息通信分公司 | Towards the information application system failure trend prediction method and device of power business |
| 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 |
| CN107462425A (en) * | 2017-08-04 | 2017-12-12 | 北京航天发射技术研究所 | The failure prediction method and failure predication platform of a kind of car kits system |
-
2017
- 2017-12-28 CN CN201711461780.XA patent/CN108322332A/en active Pending
Patent Citations (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102238062A (en) * | 2010-04-20 | 2011-11-09 | 中兴通讯股份有限公司 | Exception handling method and system for network processor |
| CN102130800A (en) * | 2011-04-01 | 2011-07-20 | 苏州赛特斯网络科技有限公司 | Device and method for detecting network access abnormality based on data stream behavior analysis |
| CN103457791A (en) * | 2013-08-19 | 2013-12-18 | 国家电网公司 | Self-diagnosis method of network sampling and control link of intelligent substation |
| CN106789239A (en) * | 2016-12-21 | 2017-05-31 | 国网江西省电力公司信息通信分公司 | Towards the information application system failure trend prediction method and device of power business |
| CN106656627A (en) * | 2017-01-09 | 2017-05-10 | 周向军 | Performance monitoring and fault positioning method based on service |
| 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 |
| CN107462425A (en) * | 2017-08-04 | 2017-12-12 | 北京航天发射技术研究所 | The failure prediction method and failure predication platform of a kind of car kits system |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112711510A (en) * | 2020-12-29 | 2021-04-27 | 长威信息科技发展股份有限公司 | Automatic adaptation method and system for monitoring service continuity operation |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| US11902318B2 (en) | Network visualization, intrusion detection, and network healing | |
| CN102629904B (en) | Detection and determination method of network navy | |
| CN108200030A (en) | Detection method, system, device and the computer readable storage medium of malicious traffic stream | |
| CN109525595A (en) | A kind of black production account recognition methods and equipment based on time flow feature | |
| CN104537908B (en) | Multi-stage scheduling integrated simulation system based on model sharing and method | |
| CN108875561A (en) | A kind of hidden danger repetition method of discrimination of transmission line of electricity monitoring hidden danger early warning image | |
| CN103905440A (en) | Network security situation awareness analysis method based on log and SNMP information fusion | |
| CN107918629A (en) | The correlating method and device of a kind of alarm failure | |
| CN110441478A (en) | A kind of river ecological environmental data on-line monitoring method, system and storage medium | |
| CN103487514A (en) | Online monitoring information aggregating method of transformer based on wavelet transform and evidence reasoning | |
| CN112232316B (en) | Crowd gathering detection method and device, electronic equipment and storage medium | |
| CN109688112A (en) | Industrial Internet of Things unusual checking device | |
| EP3378027A1 (en) | Method and system for monitoring and predicting gas leak | |
| CN107391452A (en) | A kind of software defect estimated number method based on data lack sampling and integrated study | |
| CN102279905A (en) | Method for rapidly reducing data streams during power grid fault diagnosis | |
| CN106644035B (en) | Vibration source identification method and system based on time-frequency transformation characteristics | |
| CN108322332A (en) | A kind of data disaster response system and method | |
| CN109948738A (en) | Energy consumption method for detecting abnormality, the apparatus and system of coating drying room | |
| CN111913619B (en) | Fire-fighting data reading and interaction method based on BIM lightweight | |
| CN113033624A (en) | Industrial image fault diagnosis method based on federal learning | |
| CN107507388A (en) | A kind of hospital's smoke alarm fault alarm determination methods and device | |
| CN104796822A (en) | Audio howling detection method, video monitoring method and system using same | |
| CN109858763A (en) | A kind of building method and device of the electric power industrial control data message based on GAN | |
| CN110113723A (en) | Aircraft indoor environment parameter measurement estimation method based on wireless sensor network | |
| CN110474985A (en) | A kind of basic data transmission method and system for artificial intelligence |
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 | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20180724 |