CN105511974B - Towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment - Google Patents
Towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment Download PDFInfo
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- CN105511974B CN105511974B CN201510824338.3A CN201510824338A CN105511974B CN 105511974 B CN105511974 B CN 105511974B CN 201510824338 A CN201510824338 A CN 201510824338A CN 105511974 B CN105511974 B CN 105511974B
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
- G06F11/0706—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment
- G06F11/0709—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation the processing taking place on a specific hardware platform or in a specific software environment in a distributed system consisting of a plurality of standalone computer nodes, e.g. clusters, client-server systems
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Responding to the occurrence of a fault, e.g. fault tolerance
- G06F11/14—Error detection or correction of the data by redundancy in operation
- G06F11/1402—Saving, restoring, recovering or retrying
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- 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
- G06F9/54—Interprogram communication
- G06F9/547—Remote procedure calls [RPC]; Web services
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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
- H04L67/34—Network arrangements or protocols for supporting network services or applications involving the movement of software or configuration parameters
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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
- H04L67/50—Network services
- H04L67/56—Provisioning of proxy services
-
- 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
- H04L67/50—Network services
- H04L67/60—Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
Abstract
The invention discloses the OSGi fault-tolerant strategies under a kind of distributed environment towards service quality evaluation, the present invention screens service using active and passive error repairs by the way of being combined and reaches fault-tolerant purpose, before service call, suitable invocation target service is selected by actively screening method of service, to improve the success rate of this service call and operational efficiency.In service invocation procedure, the operating parameter of service is collected by service detection and catches the error message of service call；When capturing error message, using malfunctioning, restorative procedure repairs invoked procedure, to improve system stability, so as to passively ensure to service successfully.
Description
Technical field
The invention belongs to Fault-tolerant Technique field, towards service quality evaluation under more particularly to a kind of distributed environment
OSGi fault-tolerant strategies.
Background technology
Computer science is that 21 century is with fastest developing speed, human lives is influenced with one of maximum subject.Soft project conduct
A wherein important part, is also increasingly taken seriously.With the fast development of computer software technology in recent years, base
The development trend of field of software engineering is increasingly becoming in the development mode of component.
OSGi (open service gateway initiative) is a kind of component technology frame based on service, because
It receives the attention of numerous developers with characteristics such as easy-to-use, lightweight, dynamic renewal, component life cycle managements.OSGi
A mobilism, service-oriented structure model are provided for Java applications, Java language standard is compensate for and lacks modularization branch
The deficiency held, makes Java become Integrated Simulation and the preferred environment of software development.
As Internet of Things is increasingly becoming the important development direction of computer realm, OSGi has also carried out distributed extension transformation
To adapt to trend, but this reliability to OSGi proposes challenge.Since OSGi initially faces embedded environment design,
Therefore fault tolerant mechanism under distributed environment can not be provided.Since distributed system is generally used for Industry Control, enterprise's clothes
It is engaged in the large-scale big events such as device, its small mistake can all cause loss difficult to the appraisal.Therefore the fault-tolerant energy of OSGi is improved
Power, it is highly important task to improve OSGi System Fault Tolerance efficiency.
The content of the invention
The problem of cannot providing fault tolerant mechanism under distributed environment for OSGi in the prior art, the present invention provides one kind
Towards the OSGi fault-tolerant strategies of service quality evaluation under distributed environment, which is repaiied using service and passive error is actively screened
The fault-tolerant way that complex phase combines, can efficiently accomplish the fault-tolerant operation of distributed OSGi environment, can ensure the premise of fault-tolerant effect
Lower reduction overhead.
In order to solve the above technical problems, the present invention adopts the following technical scheme that：
Towards the OSGi fault-tolerant strategies of service quality evaluation under a kind of distributed environment, including：
Step 1, service is actively screened, this step includes successively：
1.1 select alternative services collection and some Service Quality Metrics according to demand；
1.2 obtain alternative services according to the history data of service, service operation platform and/or service operation network concentrates
The Service Quality Metrics data of each alternative services；
1.3 normalized service quality index datas obtain Service Quality Metrics standardized data；
The Service Quality Metrics standardized data difference weighted sum of 1.4 pairs of each alternative services, obtains the clothes of each alternative services
Business evaluation achievement；The weights of Service Quality Metrics standardized data are manually set according to application scenarios and demand；
1.5 from big to small sort alternative services according to service evaluation achievement, and calculate the called general of each alternative services
RateWherein, InvPriFor the probability of i-th of alternative services of sequence；QsiAnd QsjRespectively sort
The service evaluation achievement of i-th and j-th of alternative services；WiAnd WjRespectively QsiAnd QsjAmendment weights, Wi=n-i, Wi=
n-j；N is alternative services number；
1.6 concentrate from alternative services according to called probability and obtain invocation target service and is called, and from alternative services
Concentrate the alternative services rejected as invocation target service；
Step 2, the operation conditions of invocation target service is detected, if running successfully, directly terminates or restart to be stopped operation
Alternative services after terminate；Otherwise, step 3 is performed；
Step 3, passive error is repaired, this step further comprises：
3.1 invocation target services out of service；
If 3.2 current alternative services integrate as empty set, terminate and return to error message；Otherwise, current alternative services collection is held
Row sub-step 1.2~1.6.
Service Quality Metrics are the specific manifestation forms of quality of service information.In the present invention Service Quality Metrics be being capable of body
The information for the performance situation that can be provided in invoked procedure is now serviced, can be a variety of in following indexs：(1) what is serviced goes through
The operation of the relevant index of history operation conditions, (2) service operation platform shows relevant index, (3) service operation platform is matched somebody with somebody
Put horizontal relevant index, the stability of (4) service operation network and the relevant index of efficiency of transmission.Service Quality Metrics according to
Demand artificially selects.
Above-mentioned, the relevant index of history run situation of service can be the average success rate of service, average operation duration
Deng；It can be stable operation duration, history collapse rate etc. that the operation of service operation platform, which shows relevant index,；Service operation net
The stability of network can be network average transmission rate etc. with the relevant index of efficiency of transmission.
In sub-step 1.3, to numeric type service-evaluating index, using formulaWith
The service-evaluating index data of profit evaluation model and cost type are standardized respectively, wherein, xkRepresent the kth of current alternative services
A service-evaluating index data,Represent xkStandardized data, maxkAnd minkK-th of clothes of respectively all alternative services
Maximum and minimum value in evaluation index data of being engaged in.
The service-evaluating index of above-mentioned profit evaluation model refers to, when the value of the service-evaluating index of profit evaluation model is bigger, represents clothes
Business performance is better, for example, the average success rate of service；The service-evaluating index of cost type then contrast, when the clothes of cost type
The value of business evaluation index is got over hour, represents that service performance is better, for example, the average operation duration of service.
In sub-step 1.3, to nonumeric type service-evaluating index, first artificial assignment, then it is standardized.
For example, if not numeric type service-evaluating index is Boolean type, its value includes two kinds of "true" and "false", can be artificially by number
Value 1 is assigned to "true", and numerical value 0 is assigned to "false".To allocation of computer, due to being configured with a variety of situations, then for each situation
Assignment respectively.
In step 2, using the operation conditions of the agency mechanism detection invocation target service based on java.
In the present invention, quality of service information is significant, the concrete form of Service Quality Metrics, that is, quality of service information.Figure
1 is the composition schematic diagram of quality of service information.The authenticity of quality of service information directly determines holding for fault-tolerant strategy of the present invention
Line efficiency.Caused operation data record at the first time after each service call and service error, to ensure service evaluation
The authenticity and validity of achievement.
When service services for new registration, since it is unknowable from off-duty mistake, quality of service information.At this moment need
Whether inquire about in environment with the presence of service of the same name, if there are service of the same name, by the service evaluation achievement average value of service of the same name
The new registration service is assigned to, the service evaluation achievement as new registration service.It is rule of thumb right if service of the same name is not present
New registration service assigns transient service evaluation achievement.Since new registration service is from off-duty mistake, it does not have corresponding service
Quality information, so assigning its transient service evaluation achievement；After the new registration service is called by system, then according to its specific table
Now update quality of service information.
Compared with prior art, the present invention has following features and beneficial effect：
1st, the present invention screens service using active and passive error repairs by the way of being combined and reaches fault-tolerant purpose, is servicing
Before calling, suitable invocation target service is selected by actively screening method of service, to improve the success rate of this service call
And operational efficiency.In service invocation procedure, the operating parameter of service is collected by service detection and catches going out for service call
Wrong information；When capturing error message, using malfunctioning, restorative procedure repairs invoked procedure, to improve system stabilization
Property, so as to passively ensure to service successfully.
2nd, in the present invention, quality of service information is particularly significant, and the information is more authentic and valid, and more energy help system improves fault-tolerant
Efficiency, optimization are called；The validity that the optimization of calling can ensure the high efficiency of system operation and recover, so as to reduce unnecessary
Fault-tolerant expense.
Brief description of the drawings
Fig. 1 is the composition schematic diagram of quality of service information；
Fig. 2 is flow diagram of the present invention；
Fig. 3 is the system construction drawing of the embodiment of the present invention；
Fig. 4 is selection flow chart of taking the initiative in offering a hand in embodiment；
Fig. 5 is that schematic diagram is repaired in passive error in embodiment.
Embodiment
The specific embodiment of the present invention is described more fully below.It should be noted that the embodiments described herein is served only for illustrating
Illustrate, be not intended to limit the invention.
The present invention improves the priori success rate of service call by the active service of selecting, and clothes are improved by passively malfunctioning to repair
The operation actual motion success rate for calling of being engaged in.Fig. 2 is fault-tolerant strategy flow diagram of the present invention, wherein passively error reparation is to hold
Wrong strategy is able to the strong guarantee of successful operation, and it is the guarantor that fault-tolerant strategy efficiency is effectively lifted with reliability actively to select service
Card.The fault-tolerant strategy for only selecting service plan cannot be guaranteed the reliability of service operation, and only have error recovery scenario
Fault-tolerant strategy cannot be guaranteed the execution efficiency of system operation.It is the necessary guarantee for efficiently accomplishing fault-tolerant operation that both, which combine,.
In the present embodiment, the OSGi fault-tolerant strategies of service-oriented quality evaluation are applied to storage management platform.The platform
In, upload service and the download service of some different editions files are run, there is each versioning service different operations to show, its
The indexs such as operation success rate, the speed of service differ.Fault-tolerant strategy is used for maintenance system normal operation, ensures that user uploads and downloads
It is correctly completed.
Fig. 3 is the system construction drawing of the embodiment of the present invention, and using OSGi R5 as framework environment, distribution is used as using R-OSGi
Formula expansion scheme.System-based layer represents underlying hardware and software environment.System center section includes service pool and realizes fault-tolerant
The fault-tolerant intermediate layer of strategy, service pool are used for all services in maintenance system, and fault-tolerant intermediate layer is active with above-mentioned institute is realized
Can proxy module, scheduler module, information centre and realize distributed environment safeguard management module and journal module.System
Upper strata represents the front end management platform for being used for handling user's business interaction.User using front-end platform perform file upload or under
Work is carried, fault-tolerant intermediate layer is separated by user and service, is repaired for selection service with error and provides condition.
It is noted that proxy module, scheduler module and information centre that fault-tolerant intermediate layer includes have different work(
Can, complete fault-tolerant operation by cooperating.
The method that proxy module provides service detection to system.The operation shape of bound service can be obtained using proxy module
State and operating parameter.During service error, proxy module is completed error and is repaired.Proxy module uses Proxy classes as specific implementation.
Scheduler module is used for realization service selection and service management.The module is complete by carrying out information exchange with other modules
Into fault-tolerant strategy.It provides corresponding method to environment, and service selection is completed using optimization algorithm；Service management passes through realization
Services management interface that OSGi is provided simultaneously is registered remote service into distributed environment using R-OSGi and is completed.
Information centre safeguards multiple dynamic tables, the quality information of storage service, including operating index and evaluation information.This
In embodiment, information centre is realized using database, wherein storing informational table of nodes, service distribution table, service operation
Parameter list, service quality evaluation table etc..
When user is using transmitting file on front end management platform, fault-tolerant intermediate layer will according to following flow to system service into
Row selection, detection and reparation：
Step 1, scheduler module obtains all alternative services in system from information centre, forms alternative services collection.
6 alternative services are shared in the present embodiment, in system to can use, and are denoted as S respectively1、S2、S3、S4、S5、S6, it is assumed that this 6
A alternative services are the service run.
Step 2, the service evaluation achievement that alternative services concentrate each alternative services is calculated.
See Fig. 4, average success rate, average operation duration, the average committed memory of the present embodiment selection service are used as service
Quality index, and the Service Quality Metrics data of each active service are standardized, based on data after standardization, using evaluation
Model calculates the service evaluation achievement of each alternative services, and evaluation model is as follows：
QS=Csr×wsr+Ct×wt+Cn×wn (3)
In formula (3)：
QSRepresent the service evaluation achievement of current alternative services；
Csr、Ct、CnAverage success rate, average operation duration after respectively current alternative services standardization, average occupancy
Memory；
wsr、wt、wnRespectively Csr、Ct、CnWeights, wsr+wt+wn=1.
In general, the weights of each Service Quality Metrics can be according to the different and different of scene and demand, and therefore, weight is
The empirical value being manually set according to current scene and current demand.In the present embodiment, current scene is storage server, then recognizes
Most important for service success rate, service operation duration takes second place, and committed memory is worst, therefore, w is made in the present embodimentsr=0.6, wt
=0.3, wn=0.1.
Obtain 6 alternative services S respectively using this step1、S2、S3、S4、S5、S6Service evaluation achievement.
Step 3, the alternative services sequence based on service evaluation achievement.
Scheduler module is ranked up alternative services according to the service evaluation achievement of each alternative services, obtains by alternative services
Ordered vector (the S of composition4 S3 S6 S2 S1 S5).According to alternative services ranking, the called probability of each alternative services is calculatedWherein, InvPriFor the called probability of i-th of alternative services of sequence, QsiAnd QsjRespectively
The service evaluation achievement for the alternative services that i-th and j-th of sequence；WiAnd WjRespectively QsiAnd QsjAmendment weights, Wi=n-
I, Wi=n-j；N is alternative services number, n=6 in the present embodiment.
In the present embodiment, the front three alternative services of maximum probability are followed successively by S4、S3、S6。
Step 4, scheduler module concentrates Selection and call destination service to be called according to called probability from alternative services, and
The alternative services rejected as invocation target service are concentrated from alternative services；Operation conditions of the proxy module to calling destination service
It is detected, runs successfully, terminate if detecting；Otherwise, step 5 is performed.
In the present embodiment, by alternative services S4As invocation target service.
This step terminates, i.e. active selection service terminates.If detecting, invocation target service operation malfunctions, and performs service
Error reparation, that is, perform step 5.
Step 5, proxy module invocation target service out of service, and by information updating out of service to information centre, together
When be sent to scheduler module.
Step 6, whether scheduler module inquiry alternative services are concentrated also has alternative services, that is, inquire about alternative services collection whether be
Empty set, if empty set, then terminates service invocation procedure and returns to error message；If not empty set, step 7 is performed.
Step 7, scheduler module re-executes step 2~4 to current alternative services collection, and according to the fortune of invocation target service
Row situation is judged, is run successfully if detecting, recovers all error services, that is, restarts the alternative clothes for being stopped operation
Business, updates information on services, and terminates；If detecting operation error, step 6 is re-executed.
The success rate of maximum efficiency guarantee this operation of user can be use up by above step and calls effect, utilize active to discriminate
Choosing service, can make the best service of Systematic selection success rate highest, operational effect.
Claims (7)
1. towards the OSGi fault-tolerance approaches of service quality evaluation under a kind of distributed environment, it is characterized in that, including：
Step 1, service is actively screened, this step includes successively：
1.1 select alternative services collection and some Service Quality Metrics according to demand；
1.2 according to the history data of service, service operation platform and/or service operation network obtain alternative services concentrate it is each standby
Select the Service Quality Metrics data of service；
1.3 normalized service quality index datas obtain Service Quality Metrics standardized data；
The Service Quality Metrics standardized data difference weighted sum of 1.4 pairs of each alternative services, the service for obtaining each alternative services are commented
Valency achievement；The weights of Service Quality Metrics standardized data are manually set according to application scenarios and demand；
1.5 from big to small sort alternative services according to service evaluation achievement, and calculate the called probability of each alternative servicesWherein, InvPriFor the probability of i-th of alternative services of sequence；QsiAnd QsjRespectively sort i-th
A and j-th of alternative services service evaluation achievements；WiAnd WjRespectively QsiAnd QsjAmendment weights, Wi=n-i, Wj=n-
j；N is alternative services number；
1.6 obtain invocation target service according to called probability from alternative services concentration is called, and is concentrated from alternative services
Reject the alternative services as invocation target service；
Step 2, the operation conditions of invocation target service is detected, if running successfully, directly terminates or restart to be stopped the standby of operation
Terminate after choosing service；Otherwise, step 3 is performed；
Step 3, passive error is repaired, this step further comprises：
3.1 invocation target services out of service；
If 3.2 current alternative services integrate as empty set, terminate and return to error message；Otherwise, son is performed to current alternative services collection
Step 1.2~1.6.
2. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：
The Service Quality Metrics are a variety of in following indexs：(1) the relevant index of history run situation of service, (2)
The operation of service operation platform shows relevant index, the relevant index of configuration level of (3) service operation platform, (4) service
The relevant index of stability and efficiency of transmission of operational network.
3. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：
In sub-step 1.3, to numeric type service-evaluating index, using formulaWithPoint
The other service-evaluating index data to profit evaluation model and cost type are standardized, wherein, xkRepresent k-th of current alternative services
Service-evaluating index data,Represent xkStandardized data, maxkAnd minkK-th of service of respectively all alternative services
Maximum and minimum value in evaluation index data.
4. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：
In sub-step 1.3, to nonumeric type service-evaluating index, first artificial assignment, then it is standardized.
5. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：Step
In rapid 2, using the operation conditions of the agency mechanism detection invocation target service based on java.
6. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：
If alternative services are the service crossed from off-duty, which is used as using the service evaluation achievement average value of its service of the same name
The service evaluation achievement of business.
7. towards the OSGi fault-tolerance approaches of service quality evaluation under distributed environment as claimed in claim 1, it is characterized in that：
If alternative services are the service crossed from off-duty, service evaluation achievement is rule of thumb assigned to it.
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| JP2000236331A (en) * | 1999-02-15 | 2000-08-29 | Nippon Telegr & Teleph Corp <Ntt> | System and method for managing service fault information, service provider and recording medium recording service fault information distribution program |
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| CN102053860A (en) * | 2009-10-30 | 2011-05-11 | 中国人民解放军国防科学技术大学 | CORBA-based OSGi distributed extensible system and method |
| CN103281376A (en) * | 2013-05-31 | 2013-09-04 | 武汉大学 | Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment |
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|---|---|---|---|---|
| JP2000236331A (en) * | 1999-02-15 | 2000-08-29 | Nippon Telegr & Teleph Corp <Ntt> | System and method for managing service fault information, service provider and recording medium recording service fault information distribution program |
| CN102053860A (en) * | 2009-10-30 | 2011-05-11 | 中国人民解放军国防科学技术大学 | CORBA-based OSGi distributed extensible system and method |
| CN102045389A (en) * | 2010-11-25 | 2011-05-04 | 深圳市科陆电子科技股份有限公司 | Distributed data storage method based on OSGI |
| CN103281376A (en) * | 2013-05-31 | 2013-09-04 | 武汉大学 | Method for automatic caching construction of massive timing sequence remote-sensing images in cloud environment |
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