CN110069343A - The chain drive distributed storage and computing architecture calculated towards complicated high concurrent - Google Patents
The chain drive distributed storage and computing architecture calculated towards complicated high concurrent Download PDFInfo
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- CN110069343A CN110069343A CN201910292819.2A CN201910292819A CN110069343A CN 110069343 A CN110069343 A CN 110069343A CN 201910292819 A CN201910292819 A CN 201910292819A CN 110069343 A CN110069343 A CN 110069343A
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/22—Indexing; Data structures therefor; Storage structures
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- G—PHYSICS
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- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5083—Techniques for rebalancing the load in a distributed system
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Abstract
The invention discloses the chain drive distributed storage calculated towards complicated high concurrent and computing architectures, including data main server, calculate primary server, data child servers, calculating child servers, client, data main server timing monitoring data child servers state, and Timing Processing write error log；Primary server is calculated for periodically generating calculating task, and periodic monitor calculates the state of child servers, realizes the distribution of calculating task；Client is used for by communicating with data main server, realizing the storage of unit data, access service and calculating service.Present invention is generally directed to chain drive remote centralized control centers, it is divided using function, logical separation, the means such as resource reuse, the concurrently execution for realizing storage, the lasting backup and complicated calculations task of mass data, ensures the high availability of background service, system reliability is improved on the basis of system is light-weighted, the difficulty of distributed system deployment is reduced, conducive to the popularization and maintenance of distributed system.
Description
Technical field
The present invention relates to technical field of data processing more particularly to a kind of chain drives calculated towards complicated high concurrent point
Cloth storage and computing architecture.
Background technique
Industrial power equipment is the equipment for generating, converting and transmitting power.Chain drive operation needs to establish equipment long-range
Monitoring center is monitored management to the initial data and calculating data of equipment, with the rapid development of technical aspect, needs to locate
The data volume of reason is increasing.The development of computing technique and network technology promotes to calculate in a distributed manner, based on parallel computation
Data center constructed by distributed computing system and calculating center have very in fields such as industry, business, science and technology and military affairs
It is widely applied.Distributed storage, which has, stores safer, reading data more efficiently advantage to data.The distributed meter of data
It is fast to calculate framework speed, can find the problem in time.For the chain drive that complicated high concurrent calculates, should more be wanted in enterprise's application
Carry out to equipment initial data and calculate the management work of data and information.
But there is traditional distributed architectural schemes to solve for the distributed management of data and calculating that industrial power is equipped
Certainly the problem of.First, which cannot be too complicated, to be easy to O&M.Traditional industrial power equips relevant model
Calculate, behind be referred to as core business, primarily rest on single architecture.If directlying adopt the micro services towards mass users
Solution is transformed it, will be so that system complexity, deployment and maintenance cost are all substantially improved.And in fact, this
Complexity promotes bring and extends flexibility, can't bring equivalent income to enterprise sometimes, because being different from online shopping mall
The case where equal user volumes (amount of access) may largely rise in a short time, industrial power equip relevant enterprise " amount of access (is set
Standby quantity) " it is often extension that is stable or only needing lower degree in the long period.So being wanted to the distributed system
Seeking Truth should be able to solve the insurmountable data volume of single architecture and the huge problem of calculation amount, again as single architecture that
Sample is easy to O&M.Second, transformation by a relatively large margin cannot be carried out to original core business.General distributed computing solution party
Case requires to be transformed original computing module, for example the distributed storage of data is carried out using HDFS, then uses
Map-reduce carries out distributed computing and integration, this needs to modify original core business module, belongs to intrusive transformation,
This is any enterprise it is not desirable that seeing.So the requirement to the distributed system is, it can be directly existing core business
As a module, or the transformation of lower degree is carried out, realizes the work flow of " plug type ".Third, enterprise is to data
The demand of safety.Due to confidentiality, the operation data of industrial power equipment is can not to be uploaded directly into the cloud of public network, is needed
The resource for making full use of the limited storage of the distributed system, backs up data, ensures the local security of data.And it passes
In the Distributed-solution of system, generally by the way of multiple database example, data is backed up, will lead to data in this way
The quantity of server rises, and can bring the problem of O&M complexity.So the Distributed-solution is needed to multiple database reality
Example is transformed, in the case where server-less, to carry out the back-up job of data.
Therefore, those skilled in the art is dedicated to developing a kind of chain drive distribution calculated towards complicated high concurrent
Storage and computing architecture.It is mainly used to solve equipment remote monitoring center to more close equipment (200~1000 magnitudes)
Data and information storage, the unified management problem of equipment computation model (performance calculating, fault diagnosis and life prediction etc.), need
A kind of distributed solution is realized in the case where number of servers is less.Number of servers be less for the ease of O&M,
Distributed structure/architecture is limited with computing capability in order to solve the problems, such as to store under single architecture, while needing to ensure the standby of data
Part.On hardware, the server of a small number of platform same configurations is only taken, to reduce the complexity of O&M to greatest extent, and is carried out
The division of master and worker function, logical separation can use child servers directly substitute master when Single Point of Faliure.Soft
On part, in order to give full play to server performance, storage service is disposed on every worker and calculates service, but is phase in logic
Mutually separate.Storage aspect, for one, i.e., same data are bound to be contained therein two worker all operation data masters one
On；Aspect is calculated, all worker are used as computing resource.System reliability is improved on the basis of system is light-weighted,
The difficulty of distributed system deployment is reduced, conducive to the popularization and maintenance of distributed system.
Summary of the invention
In view of the above drawbacks of the prior art, the technical problem to be solved by the present invention is under the premise of easy O&M,
By a small number of servers, the scene of scalability higher distributed storage and calculating is realized, on the basis of system is light-weighted
System reliability is improved, the difficulty of distributed system deployment is reduced, conducive to the popularization and maintenance of distributed system.
To achieve the above object, the present invention provides a kind of chain drive distributed storages calculated towards complicated high concurrent
With computing architecture, including data main server, calculating primary server, data child servers cluster, calculating child servers cluster, visitor
Family end group, in which:
The data main server is for periodically monitoring the data child servers cluster state, and Timing Processing write error
Log；
The calculating primary server is for periodically generating calculating task, and calculating child servers cluster described in periodic monitor
State, by calling unified interface to realize the distribution of calculating task；
The client group realizes the storage of unit data, access service and meter by communicating with the data main server
Calculate one of service or a variety of.
Further, the client group includes one or more clients.
Further, the client is for realizing at least one following functions: set state monitoring, system data flow prison
Control, equipment information management, user authority management.
Further, the data main server include first circulation manager module, first it is original and calculate data connect
Mouthful, management data relevant interface, the calculating primary server includes that second circulation manager module, the first computation requests correlation connect
Mouth, data main server backup interface, the data main server is for periodically executing first circulation manager module, the meter
Primary server is calculated for periodically executing second circulation manager module.
Further, the data child servers cluster includes one or more data child servers, the calculating clothes
Business device cluster includes one or more calculating child servers.
Further, the first circulation manager module is for realizing at least one following functions: obtaining data source and writes
Enter data child servers；Data child servers status monitoring；The processing of data child servers data synchronous abnormality；Manage data backup
Abnormality processing.
Further, the second circulation manager module is for realizing at least one following functions: unit model is unified
It executes, failure retries automatically；Calculate child servers status monitoring.
Further, the data child servers include relational database, the second original and calculating data-interface, the pass
It is that database is responsible for storing and accessing for unit data；The calculating child servers include configuration file, model file, the second meter
Request relevant interface is calculated, the programming of calculating task is carried out using general programming language；The model file is original core industry
Business avoids that is, by way of the configuration file and the second original data-interface with calculating to original core industry
The intrusive of business is rewritten；The data main server passes through the described first original and calculating data-interface calling data clothes
Described second to be engaged on device is original and calculates data-interface realization unit data storage or access service, the calculating primary server
The second computation requests relevant interface in the calculating child servers is called by the first computation requests relevant interface
Realize the distribution of calculating task.
Further, the data of each unit are stored in the data child servers in such a way that master one is for one, described
Data main server is for managing data child servers address and connection status, and the calculating primary server is for managing institute
The resource service condition and connection status for calculating child servers are stated, the data main server passes through under the calculating primary server
Calculating task is sent out, the calculating child servers return to calculated result to the data main server.
Further, the data child servers and the calculating child servers are arranged in physics child servers, described
Physics child servers, data main server, calculating primary server are all made of same configuration.
Present invention is generally directed to chain drive remote centralized control centers, practical to calculate feature, and to the reliable of system
Property, maintainability requirement, by small number of server realize storage and calculated performance be apparently higher than single architecture, and scalability
Good distributed computing scene proposes a kind of distribution for being mainly directed towards the chain drive remote center that complicated high concurrent calculates
Formula framework is divided using function, and logical separation, the means such as resource reuse, settlement server lazy weight is to distributed performance shadow
It rings larger, distributed computing and mainly produces the existing distributed schemes such as service impact is serious to chain drive in the context of the present invention
Existing bottleneck problem realizes the storage and lasting backup of mass data, the concurrently execution of complicated calculations task is realized, after guarantee
The high availability of platform service, improves system reliability on the basis of system is light-weighted, reduces distributed system deployment
Difficulty, conducive to the popularization and maintenance of distributed system.
Advantageous effects of the invention are as follows:
1, under the premise of server-less, by function division, logical separation and resource reuse appropriate, guaranteeing easily
On the basis of O&M, the scalability under traditional distributed system is realized.
2, primary server is respectively set in data service and calculating service, mitigates the excessively high bring single-point of primary server amount of access
Failure problems.
3, unit data had not only guaranteed that data were not easy to lose in such a way that master one is for one, but also mitigated excessive backup bring
Storage burden.
4, it is damaged for a server, the purpose that another server can be offseted temporarily, Servers-all is all made of
Same configuration, in order to reuse these resources, data and calculating are distributed on each server by the present invention.Data can be with
Using storage resource, and calculates and can use the resources such as CPU and memory.
5, on data main server, timed task monitoring data child servers state ensures the high availability of service, and
Timely notice when failure, and Timing Processing data synchronization errors log, ensure the consistency of data.
6, it calculates on primary server, timed task is responsible for the generation of calculating task and calculates the state prison of child servers
It surveys, the distribution of calculating task is by calling unified interface to be realized that the two logic is mutually indepedent.
It is described further below with reference to technical effect of the attached drawing to design of the invention, specific structure and generation, with
It is fully understood from the purpose of the present invention, feature and effect.
Detailed description of the invention
Fig. 1 is the distributed system architecture figure of a preferred embodiment of the invention；
Fig. 2 is the structural schematic diagram of the client of a preferred embodiment of the invention；
Fig. 3 is the structural schematic diagram of the data main server of a preferred embodiment of the invention；
Fig. 4 is the structural schematic diagram of the calculating primary server of a preferred embodiment of the invention；
Fig. 5 is the structural schematic diagram of the data child servers cluster of a preferred embodiment of the invention；
Fig. 6 is the structural schematic diagram of the calculating child servers cluster of a preferred embodiment of the invention.
Specific embodiment
The preferred embodiment of the present invention is introduced below with reference to Figure of description, keeps its technology contents more clear and convenient for reason
Solution.The present invention can be emerged from by many various forms of embodiments, and protection scope of the present invention is not limited only to text
In the embodiment mentioned.
As shown in Figure 1, it is of the invention provide a kind of chain drive distributed storage calculated towards complicated high concurrent with
Computing architecture, including data main server 1, calculate primary server 2, data child servers cluster 3, calculate child servers cluster 4,
Client group, data main server 1 are used for 3 state of timing monitoring data child servers cluster, and Timing Processing write error log；
Primary server 2 is calculated for periodically generating calculating task, and periodic monitor calculates the state of child servers cluster 4, passes through calling
Unified interface realizes the distribution of calculating task；Client group is used to realize unit data by communicating with data main server 1
Storage, access service and calculating service.Client group includes multiple client 5.
As shown in Fig. 2, client 5 is for realizing following functions: set state monitoring 51, is set system data flow monitoring 52
Standby information management 53, user authority management 54.
As shown in figure 3, data main server 1 (DBMaster) includes first circulation manager module 11
(LoopKeeper), the first original and calculating data-interface 12, management data relevant interface 13.1 timing of data main server is held
Row first circulation manager module 11.First circulation manager module 11 (LoopKeeper) is for realizing following functions: obtaining
Data child servers 111 are written in data source；Data child servers status monitoring 112；At data child servers data synchronous abnormality
Reason 113；Manage data backup abnormality processing 114.
As shown in figure 4, calculating primary server 2 (CalMaster) includes second circulation manager module 21
(LoopKeeper), the first computation requests relevant interface 22, data main server backup interface 23.Primary server 2 is calculated to be used for
Timing executes second circulation manager module 21.Second circulation manager module 21 (LoopKeeper) is for realizing following function
Can: unit model is sought unity of action, and failure retries 211 automatically；Calculate child servers status monitoring 212.
As shown in figure 5, data child servers cluster 3 (DBWorker cluster) includes one or more data child servers
31, data child servers 31 include that relational database 312, second is original and calculating data-interface 321, relational database 312 are negative
Duty unit data store and access.
As shown in fig. 6, calculating child servers cluster 4 (CalWorker cluster) includes one or more calculating child servers
41, calculating child servers 41 includes configuration file 412, model file 413, the second computation requests relevant interface 411, and calculating is then adopted
The programming of calculating task is carried out with relatively conventional language.
Data main server 1 is original former with second in the calculating calling data child servers 31 of data-interface 12 by first
Begin and calculate data-interface 311 to realize the storage of unit data or access service, calculates primary server 2 and pass through the first computation requests phase
It closes interface 22 and calls the distribution for calculating the realization calculating task of the second computation requests relevant interface 411 in child servers 41.
The data of each unit are stored in the data child servers 31 in such a way that master one is for one, data main server
1, for managing 31 address of data child servers and connection status, calculates primary server 2 and is used to manage each calculating child servers 41
Resource service condition and connection status.Data main server 1 issues calculating task by calculating primary server 2, calculates sub-services
Device 41 returns to calculated result to data main server 1.
Data child servers 31 and calculating child servers 41 are arranged in physics child servers, physics child servers, data
Primary server 1, calculating primary server 2 are all made of same configuration, when a server failure, can be faced with another server
When substitute work.
The purpose of the invention is to provide distributed computing architectures.The present invention is realized by following steps:
(1) due to need to use in system data CRUD and heavy calculating task, use two main services
Device master (data main server DBMaster and calculating primary server CalMaster) carries out the coordination and calculating task of data
Coordination.
(2) client Client either accesses data or computing resource, all directly carries out with primary server master
Which estrade server communication is specifically in the service of offer without being concerned about.
(3) the child servers address where the data of each unit is managed on data main server DBMaster, and each
The connection status of child servers.The resource service condition that each child servers are managed on calculating primary server CalMaster is (main
It is CPU and memory) and connection status.
(4) every physics child servers worker provides data storage and access service, calculates service.Wherein relationship number
It is responsible for the storage and access of data according to library, and calculates the programming for then carrying out calculating task using conventional language.
(5) data of every unit are stored in such a way that master one is for one, for example there may be numbers for the data of unit 1
According on child servers Worker1 and Worker2, and the data of unit 2 there may be data child servers Worker3 and
On Worker4, specifically there are any two number of units according to then being carried out by data main server DBMaster is unified on child servers worker
Management.This is primarily due to that unit data are more, mitigates the needs of the storage burden of server.
(6) identical computing resource and computation model are all disposed on every calculating child servers worker, rather than lead one
Standby one, this is also the place different from unit data, can play the computing capability of every server.
The preferred embodiment of the present invention has been described in detail above.It should be appreciated that the ordinary skill of this field is without wound
The property made labour, which according to the present invention can conceive, makes many modifications and variations.Therefore, all technician in the art
Pass through the available technology of logical analysis, reasoning, or a limited experiment on the basis of existing technology under this invention's idea
Scheme, all should be within the scope of protection determined by the claims.
Claims (10)
1. a kind of chain drive distributed storage calculated towards complicated high concurrent and computing architecture, which is characterized in that including number
According to primary server, calculate primary server, data child servers cluster, calculating child servers cluster, client group, in which:
The data main server is for periodically monitoring the data child servers cluster state, and Timing Processing write error day
Will；
The calculating primary server calculates the shape of child servers cluster for periodically generating calculating task, and described in periodic monitor
State, by calling unified interface to realize the distribution of calculating task；
The client group with the data main server by communicating, realizing the storage of unit data, access service and calculating clothes
One of business is a variety of.
2. chain drive distributed storage and computing architecture as described in claim 1 towards the calculating of complicated high concurrent, special
Sign is that the client group includes one or more clients.
3. chain drive distributed storage and computing architecture as claimed in claim 2 towards the calculating of complicated high concurrent, special
Sign is that the client is for realizing at least one following functions: set state monitoring, system data flow monitoring, equipment letter
Breath management, user authority management.
4. chain drive distributed storage and computing architecture as described in claim 1 towards the calculating of complicated high concurrent, special
Sign is that the data main server includes first circulation manager module, the first original and calculating data-interface, management data
Relevant interface, the calculating primary server include second circulation manager module, the first computation requests relevant interface, the main clothes of data
Business device backup interface, the data main server is for periodically executing first circulation manager module, the calculating primary server
For periodically executing second circulation manager module.
5. chain drive distributed storage and computing architecture as claimed in claim 4 towards the calculating of complicated high concurrent, special
Sign is that the data child servers cluster includes one or more data child servers, the calculating child servers cluster packet
Include one or more calculating child servers.
6. chain drive distributed storage and computing architecture as claimed in claim 5 towards the calculating of complicated high concurrent, special
Sign is that the first circulation manager module is for realizing at least one following functions: obtaining data source write-in data clothes
Business device；Data child servers status monitoring；The processing of data child servers data synchronous abnormality；Manage data backup abnormality processing.
7. chain drive distributed storage and computing architecture as claimed in claim 5 towards the calculating of complicated high concurrent, special
Sign is that the second circulation manager module is for realizing at least one following functions: unit model is sought unity of action, and failure is certainly
It is dynamic to retry；Calculate child servers status monitoring.
8. chain drive distributed storage and computing architecture as claimed in claim 5 towards the calculating of complicated high concurrent, special
Sign is, the data child servers include relational database, second original and calculate data-interface, and the relational database is negative
Duty unit data store and access；The calculating child servers include configuration file, model file, the second computation requests correlation
Interface carries out the programming of calculating task using general programming language；The model file is original core business, that is, passes through institute
Configuration file and second mode that is original and calculating data-interface are stated, the intrusive mood to original core business is avoided to change
It writes；The data main server by described first it is original and calculate data-interface call it is described in the data child servers
Second original and calculating data-interface realization unit data storage or access service, the calculating primary server pass through described first
Computation requests relevant interface calls the second computation requests relevant interface in the calculating child servers to realize calculating task
Distribution.
9. chain drive distributed storage and computing architecture as claimed in claim 5 towards the calculating of complicated high concurrent, special
Sign is that the data of each unit are stored in the data child servers in such a way that master one is for one, the main service of data
Device is for managing data child servers address and connection status, and the calculating primary server is for managing the calculating clothes
The resource service condition and connection status of business device, the data main server issue calculating by the calculating primary server and appoint
Business, the calculating child servers return to calculated result to the data main server.
10. chain drive distributed storage and computing architecture as claimed in claim 5 towards the calculating of complicated high concurrent, special
Sign is that the data child servers and the calculating child servers are arranged in physics child servers, the physics sub-services
Device, data main server, calculating primary server are all made of same configuration.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112765757A (en) * | 2021-01-21 | 2021-05-07 | 浙江运达风电股份有限公司 | Wind turbine generator load calculation working condition setting and distributed calculation method |
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| CN103677759A (en) * | 2013-11-08 | 2014-03-26 | 国家电网公司 | Objectification parallel computing method and system for information system performance improvement |
| CN106484713A (en) * | 2015-08-27 | 2017-03-08 | 中国石油化工股份有限公司 | A kind of based on service-oriented Distributed Request Processing system |
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| CN112765757A (en) * | 2021-01-21 | 2021-05-07 | 浙江运达风电股份有限公司 | Wind turbine generator load calculation working condition setting and distributed calculation method |
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