CN108768741A - A kind of network management data interacted system based on big data - Google Patents
A kind of network management data interacted system based on big data Download PDFInfo
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- CN108768741A CN108768741A CN201810585399.2A CN201810585399A CN108768741A CN 108768741 A CN108768741 A CN 108768741A CN 201810585399 A CN201810585399 A CN 201810585399A CN 108768741 A CN108768741 A CN 108768741A
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- 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
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- 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
- H04L41/04—Network management architectures or arrangements
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- 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
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
Abstract
The invention discloses a kind of network management data interacted system based on big data, including：South orientation data access layer：The network data of network data and non real-time nature for accessing various real-times；Data correlation center：Data for being accessed to south orientation data access layer carry out data modeling and model output, including the Oracle data minings of resource are associated with multi-data source；Data warehouse：Carry out the unified storage of shared data；North orientation shared interface layer：For distributed interface service layer, it is shared to carry out data opening；Management and control analysis interface：Visualized management and control are carried out to interacted system.Network management data interacted system provided by the invention based on big data can solve the problems, such as that data dispersion and data format are skimble-scamble；With abundant acquisition mode, it is adapted to existing Various types of data acquisition mode at present；Various types of data is standardized, and the identical data of different data sources can be interconnected；Unified a variety of outbound data shared interfaces are provided.
Description
Technical field
The present invention relates to a kind of data interconnection system more particularly to a kind of network management data interacted systems based on big data.
Background technology
It saves network management center to have preliminarily formed data acquisition, shared, using the three-layer network pipe support structure mutually decoupled, contain
The key data of the Gai Liao commmunication companies network operation, these data can more comprehensive and accurate description service operation situation, branch
Support service operation development.But current disparate networks data source dispersion such as alerts class data and exists in comprehensive monitoring system, resource data
Comprehensive resources manage system, fault ticket/network change data EMOS systems, data are complained to believe in customer service NGCC system, ps domain
Enable data flat in voice signaling monitoring in MVQ systems, CSFB/VOLTE voice data in signaling shared platform, 2/3G voice data
Platform.Outbound data opens mode, is also mostly the analysis demand to meet particular professional.
Under prior art architecture, network management data has following characteristics：1, data are dispersed in each network management system, funnel-shaped odd number
It is externally shared according to source；2, data and interface format are nonstandard, and data user is difficult to effectively association analysis；Current each webmaster system
System still based on the service of functional scene, can only solve the problems, such as single scene, weaker in terms of the association service ability of data,
User oriented data service enabling capabilities can not effectively be supported.It is primarily present problems at present：1, it in user's level, wishes
Hoping can be managed all kinds of network management datas (alarm, performance, resource, work order, engineering, topology, testing are complained), over the ground concentratedly
City is shared, realizes the concentration interconnection of all kinds of network management datas, association, cleaning, shares, and it is desirable that realizes network management data and signaling data
Association, support from network management data to the retrospect of signaling details.2, consider from application, required using for real-time property
Higher and higher, current existing system cannot be satisfied the requirement of real-time of application；Using from multiple systems obtain data cost compared with
Greatly, it is unfavorable for upper layer application agile development, the demand of rapid deployment is not consistent with the development trend of internet new architecture.3, from
Data plane considers that multiple systems form data silo, lack the management of unified access, cleaning, modeling, need unified number
It is shared according to the interface of the calculating, statistics that access, count to break data silo；Respective autonomous system O&M, management face very big
Problem unifies O&M by data interconnection, improves resource utilization and treatment effeciency；Match the development trend of internet, data
Unified interconnection forms big data platform and is selected as internet mainstream.
The present invention is to solve disadvantage mentioned above, with big data technology building network management data interacted system, to the webmaster of dispersion
Data are interconnected, are cleaned, are associated with, and build flexibly unified data service layer, effectively support upper layer application, as intelligence is ground
Sentence, monitor in real time, districts and cities are shared, excavate and the applications such as association analysis.
Invention content
The technical problem to be solved in the present invention is to provide a kind of network management data interacted system based on big data solves current
Specialized service system can not data dispersion and the skimble-scamble problem of data format.
The present invention is to solve above-mentioned technical problem and the technical solution adopted is that provide a kind of webmaster number based on big data
According to interacted system, including：South orientation data access layer：The network number of network data and non real-time nature for accessing various real-times
According to；Data correlation center：Data for being accessed to south orientation data access layer carry out data modeling and model output, including resource
Oracle data minings be associated with multi-data source；Data warehouse：Carry out the unified storage of shared data；North orientation shared interface
Layer：For distributed interface service layer, it is shared to carry out data opening；Management and control analysis interface：Interacted system is visualized
Management and control.
Further, the south orientation data access layer network data high to requirement of real-time is accessed by Kafka modes,
The network data of real-time no requirement (NR) is accessed by Flume modes.
Further, the network data includes work order, network change, Internet resources, network management performance, alerts, pulls out survey, uses
Family is complained and other network datas.
Further, the Oracle data mining processes of the resource are as follows：After loading resource data, using Spark
Streaming carries out the processing of resource dimension information normization to the data source that south orientation accesses in a manner of real-time streams, and backfills money
Source information is associated with the resource dimension for providing unified standard to multi-data source.
Further, multi-data source association, to the various data sources that are exported after the Oracle data minings of resource with
Resource dimension is that index carries out data correlation and convergence, including is associated with smallest dimension, is associated with, with data magnitude with network type
Association is associated with full word section.
Further, the data correlation center is divided into real-time Computational frame and offline meter to the processing mode of resource information
Frame is calculated, the real-time Computational frame is Spark Steaming, for accessing streaming message data, and from message queue
Kafka obtains message；The off-line calculation frame is Spark and HIVE, is used for incoming file data, and obtain and input from HDFS
Data.
Further, the data of the data warehouse storage include original access data and the Fusion Model number after being associated with
According to the original access data refer to the original access data after resource Oracle data minings, and original access data are stored in
HBASE clusters, the Fusion Model data after association are stored in HIVE.
Further, the north orientation shared interface layer is opened to the outside world data sharing in the following way：HBASE is obtained in real time
Data, asynchronous acquisition HBASE data, asynchronous acquisition are to inquire data, FTP periodically obtains data or obtain Kafka to count in real time
According to.
Further, the management and control analysis interface includes metadata management, the quality of data, interface management, safety management, use
Family rights management.
The present invention, which compares the prior art, following advantageous effect：Network management data provided by the invention based on big data is mutual
Contact system, has the following advantages：Different data are distinguished, take different processing methods, the identical data of different data sources can
To be interconnected, solve the problems, such as that data dispersion and data format are skimble-scamble；With abundant acquisition mode；Unified pair is provided
Outer data sharing interface, can be according to itself application according to data volume size, to data delay requirement and response delay when use
It is required that the data-interface that selection is different.
Description of the drawings
Fig. 1 is the network management data interconnecting system architecture figure based on big data in the embodiment of the present invention；
Fig. 2 is the network management data interacted system real time data flow direction figure based on big data in the embodiment of the present invention；
Fig. 3 is the network management data interacted system non-real-time data flow graph based on big data in the embodiment of the present invention.
In figure：
1 data acquire 2 data and calculate the storage of 3 data
Specific implementation mode
The invention will be further described with reference to the accompanying drawings and examples.
Fig. 1 is the network management data interconnecting system architecture figure based on big data in the embodiment of the present invention.
Refer to Fig. 1, the network management data interacted system provided by the invention based on big data, including south orientation data access
Layer：The real-time access and non real-time nature access of various network datas；Data correlation center：To the access of south orientation data access layer
Data carry out data modeling and Oracle data minings and multi-data source pass to data modeling processing, including resource information
Connection；Data warehouse：The unified storage of shared data；North orientation shared interface layer：For distributed interface service layer, it is external to carry out data
Opening and shares；Portal is analyzed in management and control：Visualized management and control are carried out to interacted system.
South orientation data access layer is responsible for the access of various network datas, including real-time access and non real-time nature access, real
When property requires high data to be accessed by Kafka modes, is then accessed by Flume modes to the data of real-time no requirement (NR).It needs
The data of access include：Work order：Open, failure, complaint；Network changes：Engineering cutover, other change operations etc.；Internet resources：
The network resource informations such as 2/3/4G base station informations, 2/3/4G cell informations, BSC, RNC, SGSN, MME；Network management performance：From acquisition
Platform, which obtains branch and calculate, to summarize, and real time monitoring demand directly send comprehensively monitoring from acquisition platform；Alarm：History alarm
(supplemented with many processing information), Real-time Alarm (does not have work order state), and comprehensively monitoring is external currently without what is alerted in real time
Shared interface is sent to Kafka buses by MQ message, enters HBase after storm is cleaned；Testing：Based on probe testing and imitate
True test；Customer complaint：Batch is complained, broad sense is complained etc.；Other network datas, such as daily record, subsequently inspect concrete application
Demand data determines again；The data area of wireless profession refines after subsequently combining districts and cities' demand and being linked up without excellent center, such as
Complain stain, MR etc..
Data correlation center is to carry out data modeling, to data modeling processing to south orientation access data, is broadly divided into money
The Oracle data minings of source information are associated with multi-data source.The Oracle data mining processes of the resource are as follows：Load money
After source data, Spark Streaming is used to carry out resource dimension information in a manner of real-time streams to the data source that south orientation accesses
Standardization processing, and resource information is backfilled, the resource dimension that unified standard is provided is associated with to multi-data source.The multi-data source closes
Connection, multi-data source association with resource dimension are index to the various data sources that are exported after the Oracle data minings of resource
Data correlation and convergence are carried out, including is associated with smallest dimension, closed with network type association, with the association of data magnitude and full word section
Connection；It is associated with smallest dimension, the identical data source of smallest dimension rank is associated；It is associated with network type, associated number
According to certain network type (2,3,4G) is only existed in source, then output model is respectively associated according to network type dimension；Same data
Magnitude is associated with, and the data source being associated must be in same data magnitude, and otherwise separately model exports；Full word section is associated with, association
Each data source in field outside dimension be all output in model.
Data correlation center is divided into real-time Computational frame and off-line calculation frame, the reality to the processing mode of resource information
When Computational frame be Spark Steaming, obtain message for accessing streaming message data, and from message queue Kafka；Institute
It is Spark and HIVE to state off-line calculation frame, is used for incoming file data, and obtain input data from HDFS.
Data warehouse is responsible for the unified storage of shared data, including original after the Oracle data minings of resource information
Access data be associated with after Fusion Model data.Original access data after the Oracle data minings of resource information because
Its data volume is big, is stored in Hbase clusters to provide the mass data inquiry response of high speed.Fusion Model data after association are
To the statistical data after multi-data source association convergence, HIVE is stored in provide the efficient inquiry of flexible combination.
North orientation shared interface layer is a kind of distributed interface service layer, and it is shared to be responsible for data opening.External system can
To obtain data in the following manner.Hbase data are obtained in real time：In a manner of REST API, GET (URL) interface is externally issued,
Querying condition is encapsulated in URL？Para1=xxx¶2=xxx returns to inquiry data with the format of JSON；This mode is main
Scene smaller for query results, requirement of real-time is high.Asynchronous acquisition Hbase data：In a manner of kafka+FTP, inquiry
As a result this mode is used when larger, writes results in file, then uploads on ftp server, is returned such as by kafka
What obtains the information of file；This mode is mainly used for the scene that query results are larger, requirement of real-time is low.Asynchronous acquisition is to be
Inquire data：In a manner of kafka+FTP, this mode is used when query result is larger, writes results in file, then uploads
Onto ftp server, the information for how obtaining file is returned by kafka；It is larger, real that this mode is mainly used for query results
When property requires low scene.It is that asynchronous acquisition Hbase data queries are Hbase numbers with the asynchronous difference for obtaining Hbase data
According to, and asynchronous acquisition is that inquire data query be Hive data.FTP periodically obtains data：Data interconnection center is use
The data (Hbase, Hive data) just needed are uploaded to FTP, and user's periodic scanning ftp server, discovery have new file then
Acquisition is got off；Server stress can be increased, which is not used at present by frequently scanning ftp server in view of multi-user.It obtains
Kafka real time datas.By kafka interfaces, real-time transmission data, user, which subscribes to corresponding topic, can obtain required data；
This mode is mainly used for the scene high to real-time property requirement.
Management and control analysis interface is used to carry out visualized management and control to interacted system, point or less submodule：Metadata pipe
Reason, the quality of data, interface management, safety management and user authority management.Metadata management：South orientation access data are carried out visual
Change management；Management to resource data and the resource associations rule configuration to data source, include the Resources list and resource associations
Regular two parts；There is provided after the Oracle data minings of resource information are associated with data source and finally share to outside
The model data view of system；The data flow figure of access data is provided.The quality of data：To interconnect center access data it is complete
Whole property is counted, is provided the file of missing；The low model of resource associations rate, association rate for counting each model alerts in time.It connects
Mouth management：Manage the information such as type, access way, the frequency acquisition of south orientation data access；The type of management north orientation shared data,
The information such as sharing mode, time granularity.Safety management：User behavior is monitored, is desensitized etc. to sensitive data.User
Rights management：Rights management is carried out to the account at each access interconnection center, is authorized as required.
Network management data interacted system based on big data, data flow are generally divided to two classes：Real-time stream and non real-time number
According to stream.It can be seen that the difference of real time data and non-real-time data flow direction referring to Fig. 2 and Fig. 3.
In conclusion the network management data interacted system provided by the invention based on big data, solves data dispersion and data
The skimble-scamble problem of format；With abundant acquisition mode, it is adapted to existing Various types of data acquisition mode at present, real-time is wanted
It asks high data to be accessed by Kafka modes, the data of real-time no requirement (NR) is then accessed by Flume modes；Various types of data
It is standardized, the identical data of different data sources can be interconnected；Unified outbound data shared interface is provided, is had
There are the kafka interfaces of real-time streams, precisely inquire Hbase interfaces, data analysis Hive interfaces and off-line files FTP interfaces, uses
Side according to data volume size, to data delay requirement and response delay can require that different data is selected to connect according to itself application
Mouthful.
Although the present invention is disclosed as above with preferred embodiment, however, it is not to limit the invention, any this field skill
Art personnel, without departing from the spirit and scope of the present invention, when can make a little modification and it is perfect, therefore the present invention protection model
It encloses to work as and is subject to what claims were defined.
Claims (9)
1. a kind of network management data interacted system based on big data, which is characterized in that including：
South orientation data access layer：The network data of network data and non real-time nature for accessing various real-times；
Data correlation center：Data for being accessed to south orientation data access layer carry out data modeling and model output, including money
The Oracle data minings in source are associated with multi-data source；
Data warehouse：Carry out the unified storage of shared data；
North orientation shared interface layer：For distributed interface service layer, it is shared to carry out data opening；
Management and control analysis interface：Visualized management and control are carried out to interacted system.
2. the network management data interacted system based on big data as described in claim 1, which is characterized in that the south orientation data connect
Enter the layer network data high to requirement of real-time to access by Kafka modes, the network data of real-time no requirement (NR) is passed through
Flume modes access.
3. the network management data interacted system based on big data as described in claim 1, which is characterized in that the network packet
Work order is included, network change, Internet resources, network management performance, alerts, pull out survey, customer complaint and other network datas.
4. the network management data interacted system based on big data as described in claim 1, which is characterized in that the resource
Oracle data mining processes are as follows：Load resource data after, use the data source that Spark Streaming access south orientation with
The mode of real-time streams carries out the processing of resource dimension information normization, and backfills resource information, is associated with to multi-data source and provides unification
The resource dimension of standard.
5. the network management data interacted system based on big data as claimed in claim 4, which is characterized in that the multi-data source closes
Connection carries out data correlation and remittance with resource dimension to the various data sources exported after the Oracle data minings of resource for index
Gather, including is associated with smallest dimension, is associated with network type association, with the association of data magnitude with full word section.
6. the network management data interacted system based on big data as described in claim 1, which is characterized in that in the data correlation
The heart is divided into real-time Computational frame and off-line calculation frame to the processing mode of resource information, and the real-time Computational frame is Spark
Steaming obtains message for accessing streaming message data, and from message queue Kafka；The off-line calculation frame is
Spark and HIVE is used for incoming file data, and obtains input data from HDFS.
7. the network management data interacted system based on big data as described in claim 1, which is characterized in that the data bins inventory
The data of storage include original access data and the Fusion Model data after being associated with, and the original access data refer to resource Oracle
Original access data after data mining, original access data are stored in HBASE clusters, the Fusion Model data storage after association
In HIVE.
8. the network management data interacted system based on big data as described in claim 1, which is characterized in that the north orientation is shared to be connect
Mouthful layer is opened to the outside world data sharing in the following way：HBASE data, asynchronous acquisition HBASE data, asynchronous acquisition are obtained in real time
It is to inquire data, FTP periodically obtains data or obtain Kafka real time datas.
9. the network management data interacted system based on big data as described in claim 1, which is characterized in that the management and control analysis connects
Mouth includes metadata management, the quality of data, interface management, safety management and user authority management.
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| CN109471730A (en) * | 2018-11-15 | 2019-03-15 | 上海新炬网络信息技术股份有限公司 | A kind of elastic calculation service management system |
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| CN110007912A (en) * | 2019-03-05 | 2019-07-12 | 山东浪潮通软信息科技有限公司 | A kind of visual configuration realization system and method for data sharing interface |
| CN110119391A (en) * | 2019-05-14 | 2019-08-13 | 重庆八戒传媒有限公司 | A kind of data warehouse creation method and data warehouse based on service data |
| CN110502559A (en) * | 2019-07-25 | 2019-11-26 | 浙江公共安全技术研究院有限公司 | A kind of data/address bus and transmission method of credible and secure cross-domain data exchange |
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| CN110502559A (en) * | 2019-07-25 | 2019-11-26 | 浙江公共安全技术研究院有限公司 | A kind of data/address bus and transmission method of credible and secure cross-domain data exchange |
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| CN112650889A (en) * | 2020-12-28 | 2021-04-13 | 中国兵器装备集团自动化研究所 | Method and system for constructing enterprise safety, environmental protection and security protection monitoring data warehouse |
| CN113722182A (en) * | 2021-08-30 | 2021-11-30 | 深圳市天威网络工程有限公司 | Parallel asynchronous efficient acquisition and analysis method and system thereof |
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