CN102780766B - Design service resource cross-domain construction method for cloud manufacturing - Google Patents
Design service resource cross-domain construction method for cloud manufacturing Download PDFInfo
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Abstract
The invention discloses a design service resource cross-domain construction method for cloud manufacturing. Application scenes are constructed by means of structure design service resources, and cloud manufacturing design service resource units are subjected to modeling from multi-domain angles of behavior fields, feature fields and data fields; the cloud manufacturing design service resources with different granularity meet the requirement of cloud manufacturing services and are comprehensively generated by the behavior fields, the feature fields and the data fields; and a cluster table of the cloud manufacturing design service resources is established and the cloud manufacturing design service resources are stored in the cluster table. The design service resource cross-domain construction method is high in efficiency, low in cost, reusable and capable of effectively improving construction efficiency performances of the design service resources which meet the requirement of the cloud manufacturing resources in cloud manufacturing modes, reducing computing resource consumption and solving the problem that current networking manufacturing technologies lack dynamic natures and difficultly performs dynamic resource allocation and resource combinations according to manufacturing resource requirements due to the fact that the current networking manufacturing technologies provide services for users by means of a fixed amount of resources or established solutions.
Description
Technical field
The present invention relates to a kind of Advanced Manufacturing System, relate in particular to the cross-domain construction method of design Service Source that a kind of facing cloud is manufactured.
Background technology
Under the internationalization background of the economic fast development of science and technology, manufacturing informatization becomes one of industrial development grand strategy.Round optimization configuration enterprise inside and outside resource, the response market demand rapidly, produce faster high-quality, low cost, low consumed product, the manufacturing modes such as the lean production taking raising enterprise competitiveness as target, quick manufacture, design supply chain, networking manufacture arise at the historic moment, promote greatly the development of modern industry, and made manufacturing development more rely on the promotion of high and new technology application.Google company proposed the new technology of cloud computing in the technical foundation such as parallel computation, Distributed Calculation and grid computing in 2007, its be by design, effectiveness calculate, the concept mixing evolution rising to such as using infrastructure as service, using platform as service with using software as service, and become immediately the information technology in forward position.In order to utilize new technology to promote the development of China's manufacturing industry, researcher taking Li Baihu as representative proposes cloud and manufactures concept on the basis of cloud computing technology---" a kind of service-oriented; efficient low-consume and the networking based on knowledge, Agility are manufactured new model and technological means ", and positive its pattern architecture and key technology are explored and studied.
Cloud manufacture is to take modern information technology forward position theory (for example cloud computing), the theory of " software serve " is expanded to " manufacturing i.e. service ", support China's manufacturing industry under Internet resources environment widely, the service that provides high added value, low cost and globalization to manufacture for product.The information technologies such as existing information manufacturing technology and cloud computing, Internet of Things, service-oriented, high-performance calculation and intelligence science technology have been merged in cloud manufacture, by by all kinds of manufacture resources and manufacturing capacity designization, serviceization, Construction designingization is manufactured resource and manufacturing capacity pond, and intelligent management that unify, concentrated and operation, realize all-win, generalization and share efficiently and collaborative, utilize multiple terminals, multi-platform, many networks for user provide can obtain at any time, manufacture Life cycle service that use, safe and reliable, high-quality cheapness as required.
Design Service Source is set up according to the granularity of the user's request of cloud manufacturing platform or task, a series of physics of realizing is manufactured to resource (firmly manufacturing resource and soft manufacture resource) according to certain flow process and principle combinations, form varigrained manufacture cloud service or manufacturing capacity, manufacturing terminal use for cloud provides personalized service, one of key technology realizing cloud manufacture distribution according to need and combination of resources, the enforcement to cloud manufacture and carry out and there is important function.What current Network Manufacturing Technology embodied in resource distribution and combination of resources is an overall autonomous system, to provide service taking the resource of fixed qty or set solution as user, lack dynamic, be difficult to carry out Dynamic Resource Allocation for Multimedia and combination of resources according to manufacturing resource requirement.
Summary of the invention
The cross-domain construction method of design Service Source that the object of the present invention is to provide a kind of facing cloud to manufacture, requires according to designing Service Source combination under cloud manufacturing mode the feature that dynamic is high, has proposed the cloud manufacturing service Resource Unit modeling method based on multiple domain; By building cloud manufacturing service resource-behavior-feature multiple domain model, set up the cloud designing for manufacturing Service Source construction method based on cross-domain fusion, having provided corresponding cloud designing for manufacturing Service Source bunch is dial framework structure simultaneously.
To achieve these goals, the step of the technical solution used in the present invention is as follows:
1.1) according to the feature that designs Service Source combination dynamic under cloud manufacturing mode, structure design Service Source is set up application scenarios, and the multiple domain angle of subordinate act territory, property field and data field is to cloud designing for manufacturing Service Source Modelon Modeling;
1.2) cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data, manufacture resource behavioral requirements by cloud, feature requirement and demand data, respectively in behavior territory, in property field and data field, adopt series connection, parallel connection and complex method, by behavior node in behavior territory, characteristic node cross-domain recurrence combination successively in property field, realize from given behavior-feature request recurrence and be combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs, last behavior territory, the comprehensive varigrained cloud designing for manufacturing Service Source that meets cloud manufacturing service demand that generates of property field and data field,
1.3) in step 1.2) basis on, setting up cloud designing for manufacturing Service Source bunch is table, using the behavior-feature of cloud designing for manufacturing Service Source model as unique recognition coding, bunch be that table is stored to cloud designing for manufacturing Service Source, reducing cloud designing for manufacturing Service Source and set up and solve hunting zone.
Cloud designing for manufacturing Service Source unit is defined as to the fundamental that forms cloud designing for manufacturing Service Source, it is the manufacture cloud service resource that obtains a definite minimum set of variables output using a minimum set of variables as input, the design Service Source that cloud designing for manufacturing Service Source unit and combination thereof realize is expressed as three layers of domain structure, be service-domain, property field, behavior territory, the topological diagram of three layers of domain structure of structure, be defined as cloud designing for manufacturing Service Source figure, cloud designing for manufacturing Service Source unit is described by orderly quadruple formization; Adopting series, parallel and complex method that all cloudy manufacturing service combination of resources are realized and manufacture cloud design Service Source, is the Service Source demand that another kind meets cloud manufacturing platform user from given functional shift.
According to behavioral requirements, feature requirement and demand data are extracted and be decomposed into cloud designing for manufacturing Service Source constraints, and be mapped as the constraint of resource behavior constraint, resource characteristic and resource data constraint, structure behavior-Feature Mapping vector, feature-data-mapping vector, obtain initial cloud designing for manufacturing Service Source, to the initial modeling of cloud designing for manufacturing Service Source;
1) resource behavior constraint modeling
Manufacture demand input by cloud initial, the resource behavior constrain set of traversal behavioral requirements mark, obtains resource behavior restricted model as follows: D={N
iD, j, (d)
j, in formula, N
iDfor the flag node of resource behavior; J is behavior flag node N
iDthe label of a series of behavior gauge points in cloud manufacturing operation implementation; (d)
jfor behavior flag node N
iDthe behavioural characteristic that j is ordered in cloud manufacturing operation implementation;
2) resource behavioural characteristic constraint modeling
Manufacture demand input by cloud initial, the resource behavioural characteristic constrain set of traversal behavioural characteristic demand mark, obtains resource behavioural characteristic restricted model as follows: L={E
iD, i, (α)
i, in formula, E
iDfor the flag node of resource behavioural characteristic; I is behavioural characteristic flag node E
iDthe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; α
ifor behavioural characteristic flag node E
iDthe data set of i point behavioural characteristic in cloud manufacturing operation implementation;
3) resource data constraint
Manufacture demand input by cloud initial, the resource characteristic data constraint set of traversal characteristic demand mark, obtains resource characteristic data constraint model as follows: J={E
iD, k, (d)
k, α
k, in formula, E
iDfor the flag node of resource behavioural characteristic; K is behavioural characteristic flag node E
iDthe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; (d)
kfor behavior flag node N
iDthe behavioural characteristic that k is ordered in cloud manufacturing operation implementation; α
kfor behavioural characteristic flag node E
iDthe data set of k point behavioural characteristic in cloud manufacturing operation implementation;
4) mapping vector
T
lbe defined as behavior-Feature Mapping, the characteristic type vector t by the set of behavior nodal scheme to behavior
lmapping, i.e. ξ (V
a) Θ ξ (V
c) → t
l, T
jbe defined as feature-data-mapping, by the set of connected service features layer medium cloud service features to data vector t
jmapping, i.e. ξ (V
c) → t
j.
Be table feature according to cloud manufacturing service resource bunch, cloud designing for manufacturing Service Source bunch is by three layers of storage architecture in table, the superiors are restraint layer, intermediate layer is basal layer, cloud manufacturing service Resource Unit and real 0 example of cloud designing for manufacturing Service Source are divided into S type (S-type), L-type (L-type) and D type (D-type), orlop is data dictionary layer, the essential information such as title, case history storage successively in list layer that S class, L-type and D type are corresponding.
Need the input of behavior-feature and the model of exporting according to cloud designing for manufacturing Service Source, the cloud designing for manufacturing Service Source based on multiple domain recurrence is set up pattern can be divided into single-input single-output pattern, single input multi-output mode; Conceptual design initial graph is expressed by the form of matrix, is table in conjunction with cloud manufacturing service resource bunch, and design Service Source is set up and solved.
The beneficial effect that the present invention has is:
1. institute of the present invention extracting method is a kind of high efficiency, low cost and reusable design Service Source construction method, can effectively improve the design Service Source establishment efficiency performance that meets cloud manufacture resource requirement under cloud manufacturing mode, reduces computational resource consumption.
2. a series of physics of realizing is manufactured to resource (firmly manufacturing resource and soft manufacture resource) according to certain flow process and principle combinations, form varigrained manufacture cloud service or manufacturing capacity, manufacturing terminal use for cloud provides personalized service, solve current network manufacturing technology and provide service taking the resource of fixed qty or set solution as user, lack dynamic, be difficult to carry out according to manufacture resource requirement the problem of Dynamic Resource Allocation for Multimedia and combination of resources.
Brief description of the drawings
Fig. 1 is that cloud designing for manufacturing Service Source of the present invention is set up module operational flow diagram.
Fig. 2 is cloud designing for manufacturing Service Source figure of the present invention.
Fig. 3 is design Service Source construction method flow chart of the present invention.
Fig. 4 is that designing for manufacturing Service Source bunch of the present invention is three layers of storage rack composition in table.
Embodiment
Below in conjunction with drawings and Examples, the present invention is described in further detail.
As shown in Figure 1, the key step of the cloud designing for manufacturing Service Source construction method of native system has:
1.1) in conjunction with service modeling module, cross-domain Fusion Module, extract the demand for services that user needs, obtain design objective, obtain the key characteristic such as behavior, feature, data, base attribute of cloud service unit by resolver;
1.2) according to cloud service element characteristics, structure design Service Source is set up application scenarios, and the multiple domain angle of subordinate act territory, property field, data field is to the modeling of cloud manufacturing service Resource Unit;
1.3) extract by the user's request of cloud manufacturing platform, cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data, setting up on initial cloud designing for manufacturing Service Source basis, manufacture resource behavioral requirements by cloud, feature requirement and demand data, respectively in behavior territory, in property field and data field, adopt series connection, the mode such as in parallel and compound, by behavior node in behavior territory, characteristic node recurrence combination successively in property field, realize from certain given behavior-feature request recurrence and be combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs, from two angles of single-input single-output and the many output of single input, by behavior territory, the comprehensive varigrained cloud designing for manufacturing Service Source that meets cloud manufacturing service demand that generates of property field and data field,
1.4) on the basis of step 1.3, setting up cloud designing for manufacturing Service Source bunch is table, using the behavior-feature of cloud designing for manufacturing Service Source model as unique recognition coding, bunch is being that table is stored to cloud designing for manufacturing Service Source;
As shown in Figure 2, figure is specific as follows for the corresponding cloud designing for manufacturing of the present invention Service Source: in Service Source layer, cloud service unit R is labeled as the node of figure, the execution sequencing of directed edge tag cloud service unit R.In service behavior layer, the behavior B in cloud service unit R behavior territory is labeled as the node of figure, and the feature C in cloud service unit R property field is labeled as directed edge; In service features layer, the feature C in cloud service unit R property field is labeled as the node of figure, and the data D in cloud service unit R property field in the data field of feature C is designated as directed edge; Behavior node in service behavior layer is mapped to the characteristic node in service features layer by behavior-Feature Mapping collection, is mapped to the cloud service cell node in Service Source layer by resource-behavior mapping ensemblen.N
1=| V
r|, the quantity of Service Source layer medium cloud service unit domain node; n
2=| V
a|, the quantity of behavior domain node in service behavior layer; n
3=| V
c|, the quantity of property field node in service features layer; m
1=| E
r|, the quantity on Service Source layer medium cloud service unit limit; m
2=| E
a|, the quantity on service behavior layer medium cloud service behavior limit; m
3=| E
c|, the quantity on service features layer medium cloud service features limit;
the set of node of Service Source layer medium cloud service unit;
the set of node in behavior territory in service behavior layer;
the set of node of property field in service features layer;
according to the cloud service cell node collection of setting up design Service Source;
according to the behavior set of node of setting up design Service Source;
according to the characteristic node collection of setting up design Service Source; V (vr
i)=pr
i, the mapping of Service Source layer medium cloud service unit set of node label; V (va
i)=pa
i, the mapping of service behavior layer medium cloud service behavior set of node label; V (vc
i)=pc
i, the mapping of service features layer medium cloud service features set of node label;
the limit collection of Service Source layer medium cloud service unit;
the limit collection of service behavior layer medium cloud service behavior;
the limit collection of service features layer medium cloud service features;
according to the cloud service element sides collection of setting up design Service Source;
according to the cloud service behavior limit collection of setting up design Service Source;
according to the cloud service characteristic edge collection of setting up design Service Source; ε (er
ij)=qr
i, the mapping of Service Source layer medium cloud service unit limit collection label; ε (ea
ij)=qa
i, the mapping of service behavior layer medium cloud service behavior limit collection label; ε (ec
ij)=qc
i, the mapping of service features layer medium cloud service features limit collection label.
As shown in Figure 3, the key step of the cloud designing for manufacturing Service Source construction method based on multiple domain recurrence is:
Step 0: definition
for resource behavior layer initial graph G
a, iniinitialization vertex ticks,
for resource behavior layer initial graph G
a, inithe unmarked set of node of initialization be designated as, v
ini(va
ini)=pa
inifor resource behavior layer initial graph G
a, iniinitialization nodal scheme mapping, ε
ini(ea
ij)=qa
ijfor resource behavior layer initial graph G
a, inithe mapping of initialization limit label;
Step 1: initialization search sequence number K, K=-1; The quantity k of the candidate designs Service Source that initialization generates automatically, k=-1;
Step 2:K=K+1 is table, to select n from cloud manufacturing service resource bunch
kthe figure G of individual node
k, check its availability ∑ sw
i; If n
k>=n
ini, next step, otherwise repeating step 1;
Step 3: to G
kset of node V
athe exchange of sorting, generates the vectorial s of sequence exchange,
In formula,
for the node of the exchange of sorting;
for V
ain remaining node, arrange by label ascending order.Subgraph H
anode by n
iniform, at sequence interchange graph
in figure, connect subgraph H
a, use va
iniε a
inito subgraph H
acarry out mark, obtain G
asubgraph H
a.By subgraph H
a, the vectorial s of sequence exchange is to G
acarrying out sequence exchange, the final sequence interchange graph that generates
complete n
a, ini-a kind of sequence has been tested, and returns to step 1;
Step 4: if G
a, inilimit be included in subgraph, simultaneously behavior and behavioral trait data also match,
otherwise return to step 2, select the new subgraph H of s' sequence
a;
Step 5: interchange graph will sort
in do not have markd node and limit to be labeled as successively va
k+1with ε a
k+1, wherein k=max (pa
i, qa
ij)+1, i, j=0,1 ..., n
a, ini, obtain resource behavior layer design Service Source behavior figure
Step 6: by resource behavior layer and resource characteristic interlayer behavior-Feature Mapping, obtain resource characteristic layer initial graph G
c, iniinitialization vertex ticks
the unmarked set of node of initialization
initialization nodal scheme mapping v
ini(vc
ini)=pc
iniwith initialization limit label mapping ε
ini(ec
ij)=qc
ij, repeat above-mentioned steps, obtain resource characteristic layer design Service Source performance plot
Step 7: the resource characteristic layer design Service Source performance plot of acquisition
can be divided into and mate service behavior completely and partly mate service behavior.Wherein, mate service behavior completely and refer to meet J simultaneously
inand J
outservice behavior.Part is mated service behavior and is referred to meet J
inor meet J
outservice behavior, part mate service behavior, if J '
outwith J '
incoupling is J
c, carry out service behavior by rule comprehensive, as shown in Figure 2;
Step 8: generate design Service Source
basis simultaneously
node and limit label, check bunch to be in table, whether to have repetition, if design Service Source isomorphism is deleted this design Service Source; Otherwise k=k+1, returns to step 2.
As shown in Figure 4, be that the corresponding designing for manufacturing Service Source bunch of the present invention is three layers of storage architecture in table.The superiors are restraint layer, and different cloud designing for manufacturing Service Source models, according to the behavioural characteristic classification of type of its realization, as single-input single-output cloud designing for manufacturing Service Source model, is labeled as to " 1-I-1-O "; Single input two output cloud designing for manufacturing Service Source models, are labeled as " 1-2-I-O ", and set up the mapping relations of itself and cloud designing for manufacturing Service Source example.Intermediate layer is basal layer, as the basis of the cloud designing for manufacturing Service Source construction method based on based on multiple domain recurrence, cloud manufacturing service Resource Unit and cloud designing for manufacturing Service Source example are divided into S type (S-type), L-type (L-type) and D type (D-type).Single-input single-output cloud manufacturing service Resource Unit is defined as S type, and the cloud designing for manufacturing Service Source example definition of single-input single-output is L-type, and other are defined as D type.Orlop is data dictionary layer, the essential information such as title, case history storage successively in list layer that S class, L-type and D type are corresponding.
Claims (4)
1. the cross-domain construction method of design Service Source that facing cloud is manufactured, is characterized in that the step of the method is as follows:
1.1) according to the feature that designs Service Source combination dynamic under cloud manufacturing mode, structure design Service Source is set up application scenarios, and the multiple domain angle of subordinate act territory, property field and data field is to cloud designing for manufacturing Service Source Modelon Modeling;
1.2) cloud designing for manufacturing Service Source constraints is decomposed into behavioral requirements, feature requirement and demand data, manufacture resource behavioral requirements by cloud, feature requirement and demand data, respectively in behavior territory, in property field and data field, adopt series connection, parallel connection and complex method, by behavior node in behavior territory, characteristic node cross-domain recurrence combination successively in property field, realize from given behavior-feature request recurrence and be combined as the behavioural characteristic output that another kind of cloud manufacturing platform user needs, last behavior territory, the comprehensive varigrained cloud designing for manufacturing Service Source that meets cloud manufacturing service demand that generates of property field and data field,
1.3) in step 1.2) basis on, setting up cloud designing for manufacturing Service Source bunch is table, using the behavior-feature of cloud designing for manufacturing Service Source model as unique recognition coding, bunch be that table is stored to cloud designing for manufacturing Service Source, reducing cloud designing for manufacturing Service Source and set up and solve hunting zone;
Cloud designing for manufacturing Service Source unit is defined as to the fundamental that forms cloud designing for manufacturing Service Source, it is the manufacture cloud service resource that obtains a definite minimum set of variables output using a minimum set of variables as input, the design Service Source that cloud designing for manufacturing Service Source unit and combination thereof realize is expressed as three layers of domain structure, be service-domain, property field, behavior territory, the topological diagram of three layers of domain structure of structure, be defined as cloud designing for manufacturing Service Source figure, cloud designing for manufacturing Service Source unit is described by orderly quadruple formization; Adopting series, parallel and complex method that all cloudy manufacturing service combination of resources are realized and manufacture cloud design Service Source, is the Service Source demand that another kind meets cloud manufacturing platform user from given functional shift.
2. the cross-domain construction method of design Service Source that a kind of facing cloud according to claim 1 is manufactured, it is characterized in that: according to behavioral requirements, feature requirement and demand data are extracted and be decomposed into cloud designing for manufacturing Service Source constraints, and be mapped as the constraint of resource behavior constraint, resource characteristic and resource data constraint, structure behavior-Feature Mapping vector, feature-data-mapping vector, obtain initial cloud designing for manufacturing Service Source, to the initial modeling of cloud designing for manufacturing Service Source;
1) resource behavior constraint modeling
Manufacture demand input by cloud initial, the resource behavior constrain set of traversal behavioral requirements mark, obtains resource behavior restricted model as follows: D={N
iD, j, (d)
j, in formula, N
iDfor the flag node of resource behavior; J is behavior flag node N
iDthe label of a series of behavior gauge points in cloud manufacturing operation implementation; (d)
jfor behavior flag node N
iDthe behavioural characteristic that j is ordered in cloud manufacturing operation implementation;
2) resource behavioural characteristic constraint modeling
Manufacture demand input by cloud initial, the resource behavioural characteristic constrain set of traversal behavioural characteristic demand mark, obtains resource behavioural characteristic restricted model as follows: L={E
iD, i, (α)
i, in formula, E
iDfor the flag node of resource behavioural characteristic; I is behavioural characteristic flag node E
iDthe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; α
ifor behavioural characteristic flag node E
iDthe data set of i point behavioural characteristic in cloud manufacturing operation implementation;
3) resource data constraint
Manufacture demand input by cloud initial, the resource characteristic data constraint set of traversal characteristic demand mark, obtains resource characteristic data constraint model as follows: J={E
iD, k, (d)
k, α
k, in formula, E
iDfor the flag node of resource behavioural characteristic; K is behavioural characteristic flag node E
iDthe label of a series of behavioural characteristic gauge points in cloud manufacturing operation implementation; (d)
kfor behavior flag node N
iDthe behavioural characteristic that k is ordered in cloud manufacturing operation implementation; α
kfor behavioural characteristic flag node E
iDthe data set of k point behavioural characteristic in cloud manufacturing operation implementation;
4) mapping vector
Τ
lbe defined as behavior-Feature Mapping, the characteristic type vector t by the set of behavior nodal scheme to behavior
lmapping, i.e. ξ (V
a) Θ ξ (V
c) → t
l, Τ
jbe defined as feature-data-mapping, by the set of connected service features layer medium cloud service features to data vector t
jmapping, i.e. ξ (V
c) → t
j.
3. the cross-domain construction method of design Service Source that a kind of facing cloud according to claim 1 is manufactured, it is characterized in that: be table feature according to cloud manufacturing service resource bunch, cloud designing for manufacturing Service Source bunch is by three layers of storage architecture in table, the superiors are restraint layer, intermediate layer is basal layer, cloud manufacturing service Resource Unit and cloud designing for manufacturing Service Source example are divided into S type, L-type and D type, orlop is data dictionary layer, and the title that S class, L-type and D type are corresponding, the essential information of case history be storage successively in list layer.
4. the cross-domain construction method of design Service Source that a kind of facing cloud according to claim 1 is manufactured, it is characterized in that: need the input of behavior-feature and the model of exporting according to cloud designing for manufacturing Service Source, the cloud designing for manufacturing Service Source establishment pattern based on multiple domain recurrence is divided into single-input single-output pattern, single input multi-output mode; Conceptual design initial graph is expressed by the form of matrix, is table in conjunction with cloud manufacturing service resource bunch, and design Service Source is set up and solved.
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| CN105550813A (en) * | 2015-12-17 | 2016-05-04 | 重庆大学 | Commercial evaluation method for value network-based mechanized equipment cloud service resources |
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Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101958917A (en) * | 2010-03-24 | 2011-01-26 | 北京航空航天大学 | Cloud manufacturing system-oriented method for measuring and enhancing flexibility of resource service composition |
| CN102176723A (en) * | 2011-03-25 | 2011-09-07 | 北京航空航天大学 | Manufacturing cloud system for supporting on-demand use and dynamic collaboration of manufacturing resources and manufacturing capacities |
-
2012
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Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN101958917A (en) * | 2010-03-24 | 2011-01-26 | 北京航空航天大学 | Cloud manufacturing system-oriented method for measuring and enhancing flexibility of resource service composition |
| CN102176723A (en) * | 2011-03-25 | 2011-09-07 | 北京航空航天大学 | Manufacturing cloud system for supporting on-demand use and dynamic collaboration of manufacturing resources and manufacturing capacities |
Non-Patent Citations (4)
| Title |
|---|
| "云制造特征及云服务组合关键问题研究";陶飞等;《计算机集成制造系统》;20110331;第17卷(第3期);第477-485页 * |
| "制造网格中基于服务质量的资源调度研究";刘丽兰等;《计算机集成制造系统》;20050429;第11卷(第4期);第475-480页 * |
| 刘丽兰等."制造网格中基于服务质量的资源调度研究".《计算机集成制造系统》.2005,第11卷(第4期), |
| 陶飞等."云制造特征及云服务组合关键问题研究".《计算机集成制造系统》.2011,第17卷(第3期), |
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