CN104899026B - A kind of general cloud application system O& middleware of commercial value driving - Google Patents
A kind of general cloud application system O& middleware of commercial value driving Download PDFInfo
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- CN104899026B CN104899026B CN201510259045.5A CN201510259045A CN104899026B CN 104899026 B CN104899026 B CN 104899026B CN 201510259045 A CN201510259045 A CN 201510259045A CN 104899026 B CN104899026 B CN 104899026B
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Abstract
The invention proposes a kind of general cloud application system O& middlewares of commercial value driving, comprising: decision-making level, mapping layer and cloud application system level；Decision-making level is responsible for selection operation strategy to realize optimal commercial value；Mapping layer includes event and index mapper and operation mapper, is general operation, event and index set by the cloud computing service power and energy of particular cloud supplier；Cloud application system level includes: the application system of cloud operation, and third party monitoring component and third party operate executive module.The present invention carries out autonomous O&M, automatically selecting between the cloud computing service of different cloud suppliers, to realize the optimization of business index using the application system that the O&M strategy made runs cloud.
Description
Technical field
The present invention relates to cloud computing service field, in particular to a kind of general cloud application system fortune of commercial value driving
Tie up middleware.
Background technique
Currently, enterprise depends on cloud application system O& tool to carry out manual configuration cloud application system more.It is this manual
Configuration method is slowly inefficient, and is easy error, or even the inconsistent phenomenon of O&M information occur.Also, the fortune of existing tool
Dimension method only passes through optimisation technique index (such as disk service condition and network flow etc.) and is configured, however technical indicator is most
It is not necessarily for the excellent enterprise for being only concerned the business index such as income, cost and customer satisfaction optimal.In addition, these
O&M method is usually only defined in the cloud computing service of a certain specific fortune supplier, can not be compatible with the cloud computing of different cloud suppliers
Service.However it is likely to be relatively beneficial to business provided by the application system of cloud operation using multiple cloud computing services.
For example, the price of renting per hour of cloud computing service is to change with service request quantity and change.Given one
The cost for running application system in a hour on cloud A is 0.30 dollar/hour, and cloud B is 0.32 dollar/hour, following one
A hour application system cost of continuous operation on cloud A is 0.31 dollar/hour, and cloud B is 0.28 dollar/hour.At this
In example, it can be optimized from the angle of commercial value using the cloud computing service of multiple cloud suppliers are as follows: will in first hour
Application system operates on cloud A, and cloud application system is switched on cloud B in second hour and is run.
Therefore, the cloud application system O& for how realizing commercial value driving, is current urgent problem to be solved.
Summary of the invention
The invention proposes a kind of general cloud application system O& middlewares of commercial value driving, utilize what is made
The application system that O&M strategy runs cloud carries out autonomous O&M, automatic between the cloud computing service of different cloud suppliers
Selection, to realize the optimization of business index.
The technical scheme of the present invention is realized as follows:
A kind of general cloud application system O& middleware of commercial value driving, comprising: decision-making level, mapping layer and cloud
Application system level；
Decision-making level is responsible for selection operation strategy to realize optimal commercial value；
Mapping layer includes event and index mapper and operation mapper, by the cloud computing service function of particular cloud supplier
Be converted to general operation, event and index set；
Cloud application system level includes: the application system of cloud operation, and third party monitoring component and third party, which operate, to be executed
Component.
Optionally, the decision-making level includes:
Policy library: all policies needed for store O&M decision；
Monitor database: store data when operation, and main includes the technical indicator of monitoring, business index and comes from
The event of third party monitoring module；
Monitoring data processing component: for handling the real time data from third party monitoring module；
Trigger policy determines component: determining phase according to nearest monitoring data and the historical information for being stored in monitor database
The strategy answered is triggered；
Policy conflict solves component: if more than one operation strategy is triggered, policy conflict solves component and is responsible for decision
Corresponding operation strategy should be executed to optimize business index；
Business index computation module: the commercial value and cost of each operation strategy are calculated；
Policy selection component: about according to the commercial value of each optional operation strategy and cost and current cost
Beam makes O&M decision, selects optimal operation strategy；
Policy conflict solves component and sends selected operation strategy to operation mapper component, and operation mapper component will connect
The operation strategy of receipts is converted to operation that particular cloud supplier is identified as O&M decision, and sends it to third party's operation
Executive module；The event of particular cloud supplier and index are converted to general event and index by event and index mapper, and
Send it to monitoring data processing component.
Optionally, the mapping layer is by operation, event and the index of the cloud computing service of specific cloud supplier and general
Operation, event and index mutually converted.
The beneficial effects of the present invention are:
Autonomous O&M is carried out using the application system that the O&M strategy made runs cloud, in different cloud suppliers
Cloud computing service between automatically select, to realize the optimization of business index.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is only this
Some embodiments of invention for those of ordinary skill in the art without creative efforts, can be with
It obtains other drawings based on these drawings.
Fig. 1 is a kind of system block diagram of the general cloud application system O& middleware of commercial value driving of the present invention.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Currently, enterprise depends on cloud application system O& tool to carry out manual configuration cloud application system more.Manual configuration
Method is slowly inefficient, and is easy error, or even the inconsistent phenomenon of O&M information occur.Also, the O&M side of existing tool
Method only passes through optimisation technique index (such as disk service condition and network flow etc.) and is configured, however technical indicator is optimal right
It is not necessarily for the enterprise for being only concerned the business index such as income, cost and customer satisfaction optimal.In addition, these O&Ms
Method is usually only defined in the cloud computing service of a certain specific fortune supplier, can not be compatible with the cloud computing clothes of different cloud suppliers
Business.
In order to solve defect and deficiency in the prior art, the invention proposes a kind of general clouds of commercial value driving
Application system O& middleware realizes the cloud application system O& of commercial value driving.
As shown in Figure 1, middleware of the invention includes three layers: decision-making level, mapping layer and cloud application system level.
(1) decision-making level
Decision-making level is responsible for selection operation strategy to realize optimal commercial value, and decision-making level includes following part:
Policy library: all policies needed for store O&M decision.
Monitor database: store data when operation, and main includes the technical indicator of monitoring, business index and comes from
The event of third party monitoring module.
Monitoring data processing component: for handling the real time data from third party monitoring module.
Trigger policy determines component: which determining according to nearest monitoring data and the historical information for being stored in monitor database
A strategy is triggered.
Policy conflict solves component: if more than one operation strategy is triggered, policy conflict solves component and is responsible for decision
Which operation strategy should be executed to optimize business index.
Business index computation module: the commercial value and cost of each operation strategy are calculated.
Policy selection component: about according to the commercial value of each optional operation strategy and cost and current cost
Beam makes O&M decision, selects optimal operation strategy.
(2) mapping layer
The cloud computing service power and energy of particular cloud supplier is general operation, event and index set by mapping layer.
Mapping layer is general bridge, by operation, event and the index and general operation of the cloud computing service of specific cloud supplier,
Event and index are mutually converted.
(3) cloud application system level
Cloud application system level is that cloud computing service operates and execute one layer of function, belongs to third party's module layer, comprising:
The application system of cloud operation, third party monitoring component and third party operate executive module.
Policy conflict solves component and sends selected operation strategy to operation mapper component, and operating mapper component will
Received operation strategy is converted to operation that particular cloud supplier is identified as O&M decision, and sends it to third party behaviour
Make executive module.
The event of particular cloud supplier and index are converted to general event and index by event and index mapper, and will
It is sent to monitoring data processing component.
It is given below a specific embodiment of middleware of the present invention, in the embodiment, cloud application system is deployed in Asia
It is run on the Cloud Server of the inferior EC2 of horse.
When the cpu busy percentage of the Amazon EC2 Cloud Server where system is more than 80%, need to rent and add for system
Add new Cloud Server.
This event is converted to general event by event and index mapper, and sends it to monitoring data processing group
Part.Trigger policy determine component based on the received event and be stored in monitor database historical information determine trigger policy library in
Operation strategy APA_EC2 and APA_Rackspace.New server is rented in APA_EC2 expression on Amazon EC2 cloud, and
APA_Rackspace indicates the server rented on Rackspace cloud.
Business index computation module is corresponding according to the operation strategy APA_EC2 and APA_Rackspace stored in policy library
Commercial value strategy UPA_EC2 and UPA_Rackspace, calculate separately the commercial value and cost of each operation strategy.Meter
The commercial value for calculating APA_EC2 as the result is shown is $ 470, and the commercial value of APA_Rackspace is $ 265.
Policy selection component is constrained according to the commercial value and cost of each optional operation strategy and current cost
O&M decision is made, the operation strategy APA_EC2 for selecting commercial value optimal.
It operates mapper component and received operation strategy APA_EC2 is converted to what Amazon EC2 cloud supplier was identified
Operation is used as O&M decision, and sends it to third party and operate executive module.
The present invention carries out autonomous O&M using the application system that the O&M strategy made runs cloud, in different clouds
Automatically selecting between the cloud computing service of supplier, to realize the optimization of business index.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.
Claims (2)
1. a kind of general cloud application system O& middleware of commercial value driving characterized by comprising decision-making level reflects
Penetrate layer and cloud application system level；
Decision-making level is responsible for selection operation strategy to realize optimal commercial value, and the decision-making level includes:
Policy library: all policies needed for store O&M decision；
Monitor database: store data when operation, the technical indicator including monitoring, business index and from third party supervise
Survey the event of component；
Monitoring data processing component: for handling the real time data from third party monitoring component；
Trigger policy determines component: being determined accordingly according to nearest monitoring data and the historical information for being stored in monitor database
Strategy is triggered；
Policy conflict solves component: if more than one operation strategy is triggered, policy conflict solution component is responsible for decision should
The corresponding operation strategy of execution is to optimize business index；
Business index computation module: the commercial value and cost of each operation strategy are calculated；
Policy selection component: it is done according to the commercial value of each optional operation strategy and cost and current cost constraint
O&M decision out selects optimal operation strategy；
Policy conflict solves component and sends selected operation strategy to operation mapper component, and operation mapper component will be received
Operation strategy is converted to operation that particular cloud supplier is identified as O&M decision, and sends it to third party and operate and execute
Component；The event of particular cloud supplier and index are converted to general event and index by event and index mapper, and by its
It is sent to monitoring data processing component；
Mapping layer includes event and index mapper and operation mapper, by the cloud computing service power and energy of particular cloud supplier
For general operation, event and index set；
Cloud application system level includes: the application system of cloud operation, and third party monitoring component and third party operate executive module.
2. the general cloud application system O& middleware of commercial value driving as described in claim 1, which is characterized in that institute
State operation, event and index and general operation, event and index of the mapping layer by the cloud computing service of specific cloud supplier
Mutually converted.
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Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102262567A (en) * | 2010-05-24 | 2011-11-30 | 中兴通讯股份有限公司 | Virtual machine scheduling decision system, platform and method |
| CN103533037A (en) * | 2013-09-29 | 2014-01-22 | 浙江工商大学 | Resource scheduling method in forwarding and control separation network based on economic model |
| CN103986669A (en) * | 2014-05-07 | 2014-08-13 | 华东师范大学 | Assessment method of resource allocation strategy in cloud computing |
| CN104065663A (en) * | 2014-07-01 | 2014-09-24 | 复旦大学 | Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model |
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- 2015-05-14 CN CN201510259045.5A patent/CN104899026B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102262567A (en) * | 2010-05-24 | 2011-11-30 | 中兴通讯股份有限公司 | Virtual machine scheduling decision system, platform and method |
| CN103533037A (en) * | 2013-09-29 | 2014-01-22 | 浙江工商大学 | Resource scheduling method in forwarding and control separation network based on economic model |
| CN103986669A (en) * | 2014-05-07 | 2014-08-13 | 华东师范大学 | Assessment method of resource allocation strategy in cloud computing |
| CN104065663A (en) * | 2014-07-01 | 2014-09-24 | 复旦大学 | Auto-expanding/shrinking cost-optimized content distribution service method based on hybrid cloud scheduling model |
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