CN106302778A - A kind of distributed flow process automotive engine system - Google Patents
A kind of distributed flow process automotive engine system Download PDFInfo
- Publication number
- CN106302778A CN106302778A CN201610723817.0A CN201610723817A CN106302778A CN 106302778 A CN106302778 A CN 106302778A CN 201610723817 A CN201610723817 A CN 201610723817A CN 106302778 A CN106302778 A CN 106302778A
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- Prior art keywords
- layer
- flow
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- engine
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
- H04L67/1001—Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/10—Protocols in which an application is distributed across nodes in the network
Abstract
The invention discloses a kind of distributed flow process automotive engine system, this system includes service application layer, access layer, flow engine application service layer and data storage layer.Fast construction the distributed collaboration handling process engine that service application is docked can be prone to by the present invention; elastic support processes peak value request amount; and convenient can not shut down dilatation flow engine service node online, promote flow processing ability, it is achieved the collaborative process across between management node flow process.
Description
Technical field
The present invention relates to technical field of information processing, particularly relate to a kind of distributed flow process automotive engine system.
Background technology
Owing to the data volume of the business transaction of telecommunication system is the hugest, business procession link is various, needs complexity
Flow engine supporting business processing procedure, the Business Processing amount that the flow engine of conventional individual pattern can be supported is limited to machine
Performance, it is difficult to bear the hugest Business Processing request amount.And business datum and Business Processing belong to districts and cities according to business
Divide multiple different management node, but have considerable business need to need across the collaborative process of districts and cities, transaction processing system application
The flow process that complicated interactive mode or manual type process across management node is worked in coordination with, and causes at the low for the treatment of effeciency and flow process
That manages is the most smooth.So in order to solve limited machine unit performance bottleneck, and it is collaborative to solve the flow process across management region, needs one
Plant and realize distributed flow process automotive engine system.
Summary of the invention
The invention aims to overcome the defect of prior art, it is provided that a kind of distributed flow process automotive engine system, pass through
The present invention fast construction can be prone to the distributed collaboration handling process engine that service application is docked, and elastic support processes peak value
Request amount, and convenient can not shut down dilatation flow engine service node online, promote flow processing ability, it is achieved across management
Collaborative process between node flow process.
For achieving the above object, the invention provides a kind of distributed flow process automotive engine system, this system includes four layers, point
Wei service application layer, access layer, flow engine application service layer and data storage layer.
Service application layer, develops client SDK used to service application docking specially, only need to can be complete by interface
U.S. docking uses flow engine ability.
Access layer, utilizes hardware load balancer or the access of soft load equalizer access service application, equilibrium point
Send out request and improve service availability.
Flow engine application service layer, including three parts:
Flow engine cluster, the flow engine node stateless of cluster is run, and integrates load equalizer and can support the most not
Shut down expanding node.
Collaborative center cluster, uses Zookeeper middleware to build collaborative center cluster, collaborative center
Cluster is responsible for flow process distributed collaboration and is processed.
Message-oriented middleware cluster, in conjunction with message-oriented middleware cluster, the process chain of Distributed Message Queue decoupling intermodule, props up
Hold the request that services on a large scale.
Data storage layer, is stored by big data thinking burst, supports the storage of large-scale data.
Further, the interface of service application layer includes that flow startup, link receipt, hang-up solve extension, remove list, rollback and weight
Group.
Further, flow engine node includes Service Component, engine kernel, rule framework and configuration management and control.
Further, data storage layer supports multiple main flow relational database, including MySQL, Oracle, DB2.
Further, flow engine node accesses data base by universal data access layer, and universal data access layer can allow
Flow engine node is without being concerned about how data store.
The beneficial effect that technical solution of the present invention is brought:
The first, the present invention is used fast construction can be prone to the distributed collaboration handling process engine that service application is docked,
Elastic support processes peak value request amount.
The second, use the present invention convenient can not shut down dilatation flow engine service node online, promote flow processing energy
Power.
3rd, the present invention is used to can solve the problem that the collaborative process across between management node flow process.
Accompanying drawing explanation
In order to be illustrated more clearly that the embodiment of the present invention or technical scheme of the prior art, below will be to embodiment or existing
In having technology to describe, the required accompanying drawing used is briefly described, it should be apparent that, the accompanying drawing in describing below is only this
Some embodiments of invention, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to
Other accompanying drawing is obtained according to these accompanying drawings.
Fig. 1 is the system architecture diagram of the present invention.
Detailed description of the invention
Below in conjunction with the accompanying drawing in the embodiment of the present invention, the technical scheme in the embodiment of the present invention is carried out clear, complete
Describe, it is clear that described embodiment is only a part of embodiment of the present invention rather than whole embodiments wholely.Based on
Embodiment in the present invention, it is every other that those of ordinary skill in the art are obtained under not making creative work premise
Embodiment, broadly falls into the scope of protection of the invention.
The present invention proposes and realizes distributed flow engine based on Distributed Message Queue and distributed collaboration operation.Reference
WFMC Yu BPMN2.0 specification, simplifies and supplementary model, real based on Distributed Message Queue, distributed collaboration and data base's burst
Existing distributed flow engine, supports workflow and the overall situation management and control of large-scale data, and the most supporting offer graphic process sets
Meter interface and management and control interface, it is easy to by business Planning procedure with carry out flow management and control, and provide client SDK bag, at transparence
Reason operation system and flow engine between mutual.
A kind of distributed flow process automotive engine system is illustrated in figure 1 its integrated stand composition:
Whole system framework includes four layers: service application layer, access layer, flow engine application service layer and data
Accumulation layer.
Service application layer develops client SDK used to service application docking specially, only simply need to be connect by several
Mouth perfect docking can use flow engine ability, solves extension including flow startup, link receipt, hang-up, removes list, rollback and weight
Group.
Access layer utilizes hardware load balancer or the access of soft load equalizer access service application, equilibrium distribution
Request and raising service availability.
Flow engine application service layer, including three parts:
Flow engine cluster, the flow engine node stateless of cluster is run, and integrates load equalizer and can support the most not
Shut down expanding node.Flow engine node includes Service Component, engine kernel, rule framework and configuration management and control.
Collaborative center cluster, uses Zookeeper middleware to build collaborative center cluster, collaborative center
Cluster is responsible for flow process distributed collaboration and is processed.
Message-oriented middleware cluster, in conjunction with message-oriented middleware cluster, the process chain of Distributed Message Queue decoupling intermodule, props up
Hold the request that services on a large scale.
Data storage layer, is stored by big data thinking burst, supports the storage of large-scale data.Support MySQL,
The multiple main flow relational database such as Oracle, DB2.
Flow engine node accesses data base by universal data access layer, and universal data access layer can allow flow engine save
Point is without being concerned about how data store.
Above the embodiment of the present invention is described in detail, specific case used herein to the principle of the present invention and
Embodiment is set forth, and the explanation of above example is only intended to help to understand method and the core concept thereof of the present invention;
Simultaneously for one of ordinary skill in the art, according to the thought of the present invention, the most all can
Change part, and in sum, this specification content should not be construed as limitation of the present invention.
Claims (5)
1. a distributed flow process automotive engine system, it is characterised in that this system includes four layers, respectively service application layer, connect
Enter access layer, flow engine application service layer and data storage layer;
Service application layer, develops client SDK used to service application docking specially, and it is perfect right only need to be got final product by interface
Connect use flow engine ability;
Access layer, utilizes hardware load balancer or the access of soft load equalizer access service application, and equilibrium distribution please
Ask and improve service availability;
Flow engine application service layer, including three parts:
Flow engine cluster, the flow engine node stateless of cluster is run, and integrates load equalizer and can support laterally not shut down
Expanding node;
Collaborative center cluster, uses Zookeeper middleware to build collaborative center cluster, collaborative center cluster
It is responsible for flow process distributed collaboration to process;
Message-oriented middleware cluster, in conjunction with message-oriented middleware cluster, the process chain of Distributed Message Queue decoupling intermodule, supports big
Scale service request;
Data storage layer, is stored by big data thinking burst, supports the storage of large-scale data.
System the most according to claim 1, it is characterised in that the interface of service application layer includes that flow startup, link are returned
Single, hang-up solves extension, removes list, rollback and heavily send.
System the most according to claim 1, it is characterised in that flow engine node includes Service Component, engine kernel, rule
Then framework and configuration management and control.
System the most according to claim 1, it is characterised in that data storage layer supports multiple main flow relational database, bag
Include MySQL, Oracle, DB2.
5. according to the system described in claim 1 or 2 or 3 or 4, it is characterised in that flow engine node is visited by uniform data
Asking that layer accesses data base, universal data access layer can allow flow engine node without being concerned about how data store.
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CN201610723817.0A CN106302778A (en) | 2016-08-25 | 2016-08-25 | A kind of distributed flow process automotive engine system |
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CN201610723817.0A CN106302778A (en) | 2016-08-25 | 2016-08-25 | A kind of distributed flow process automotive engine system |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
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CN108804241A (en) * | 2018-05-21 | 2018-11-13 | 平安科技(深圳)有限公司 | Cross-platform method for scheduling task, system, computer equipment and storage medium |
CN109389352A (en) * | 2017-08-02 | 2019-02-26 | 余汶龙 | Consumption endowment management system |
CN111612424A (en) * | 2020-05-21 | 2020-09-01 | 浩云科技股份有限公司 | Flow management method and device based on free task node and readable storage medium |
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CN102594870A (en) * | 2011-05-31 | 2012-07-18 | 北京亿赞普网络技术有限公司 | Cloud computing platform, cloud computing system and service information publishing method for cloud computing system |
CN105630589A (en) * | 2014-11-24 | 2016-06-01 | 航天恒星科技有限公司 | Distributed process scheduling system and process scheduling and execution method |
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US7221377B1 (en) * | 2000-04-24 | 2007-05-22 | Aspect Communications | Apparatus and method for collecting and displaying information in a workflow system |
CN101321181A (en) * | 2008-07-17 | 2008-12-10 | 上海交通大学 | Distributed service flow engine management system based on fuzzy control |
CN102594870A (en) * | 2011-05-31 | 2012-07-18 | 北京亿赞普网络技术有限公司 | Cloud computing platform, cloud computing system and service information publishing method for cloud computing system |
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Cited By (5)
Publication number | Priority date | Publication date | Assignee | Title |
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CN109389352A (en) * | 2017-08-02 | 2019-02-26 | 余汶龙 | Consumption endowment management system |
CN108804241A (en) * | 2018-05-21 | 2018-11-13 | 平安科技(深圳)有限公司 | Cross-platform method for scheduling task, system, computer equipment and storage medium |
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Application publication date: 20170104 |