CN109671140A - A kind of cloud rendering service processing method using micro services - Google Patents
A kind of cloud rendering service processing method using micro services Download PDFInfo
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- CN109671140A CN109671140A CN201811600459.XA CN201811600459A CN109671140A CN 109671140 A CN109671140 A CN 109671140A CN 201811600459 A CN201811600459 A CN 201811600459A CN 109671140 A CN109671140 A CN 109671140A
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- 238000009877 rendering Methods 0.000 title claims abstract description 132
- 238000003672 processing method Methods 0.000 title claims abstract description 12
- 238000000034 method Methods 0.000 claims abstract description 15
- 230000007246 mechanism Effects 0.000 claims abstract description 6
- 238000012795 verification Methods 0.000 claims description 7
- 101000911390 Homo sapiens Coagulation factor VIII Proteins 0.000 claims description 4
- 102000057593 human F8 Human genes 0.000 claims description 4
- 238000012544 monitoring process Methods 0.000 claims description 4
- 229940047431 recombinate Drugs 0.000 claims description 4
- 238000010801 machine learning Methods 0.000 claims description 2
- 238000000354 decomposition reaction Methods 0.000 abstract description 6
- 230000000694 effects Effects 0.000 description 8
- 230000006798 recombination Effects 0.000 description 4
- 238000005215 recombination Methods 0.000 description 4
- 238000004891 communication Methods 0.000 description 3
- 230000008569 process Effects 0.000 description 3
- 238000012545 processing Methods 0.000 description 3
- 238000004458 analytical method Methods 0.000 description 2
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- 230000000717 retained effect Effects 0.000 description 2
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Classifications
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/06—Ray-tracing
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T3/00—Geometric image transformation in the plane of the image
- G06T3/40—Scaling the whole image or part thereof
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T7/00—Image analysis
- G06T7/10—Segmentation; Edge detection
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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
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
Abstract
The present invention provides a kind of clouds using micro services to render service processing method.This method uses micro services mode, cloud rendering service decomposition is formd determine by rendering image quality, rendering speed determine, parallel scheme determines, rendering resources are equipped with, rendering resources distribute, cloud renders, rendering verifies and rendering scheme recombinates the cloud that this eight micro services constitute and renders and services；Standardization setting has been carried out, it is specified that their service content, service format messages, method of service and service order to each micro services；In the execution of cloud server end, the mechanism of the combination between micro services, bridging mode and the torsion that are determined by rendering task determines each rendering micro services, can be realized the automatic running of rendering service.
Description
Technical field
The invention belongs to computer vision field, in particular to a kind of cloud using micro services renders service processing method.
Background technique
With the continuous improvement of the complexity of cloud rendering service, user's is increasing, and the cloud under monomer mechanism renders clothes
The scalability of business declines, and parallelization ability is limited, and automatic deployment and lasting delivery capability are poor.
The present invention is directed to use micro services framework, cloud is rendered by service decomposition with service-oriented theory.After decomposition
Cloud rendering service is made of eight big micro services, and loose coupling between each micro services, scalability is enhanced, can be to specified
Service is stretched.Single service function cohesion, complexity reduce, and facilitate fractionation and management；It can be held in the mouth automatically between micro services
It connects, is freely combined, parallelization ability is enhanced；Single micro services can be disposed independently, stand-alone development, automatic deployment and be continued
Delivery capability is enhanced.
Summary of the invention
The present invention is based on the theories of micro services, using service-oriented design, in a manner of micro services, form a kind of new
Cloud render service processing method.This method can intelligently generate the cloud rendering scheme of customization, complete customer satisfaction system wash with watercolours
Contaminate effect.
This method mainly includes the following contents: using micro services frame, is divided cloud rendering service in service-oriented mode
Solution, form determined by rendering image quality, rendering speed determines, parallel scheme determines, rendering resources are equipped with, rendering resources distribute,
Cloud rendering, rendering verification and rendering scheme recombinate the cloud rendering service that this eight big micro services is constituted.
Rendering image quality, which determines, to be referred to when remote user initiates cloud rendering task, can be according to the target ring of its rendering task
Border carries out corresponding rendering image quality and determines, tests back-and-forth method using sample, select for image quality of the user for render scenes
It selects.To guarantee that rendering service can be delivered identical rendering requirements with different rendering image quality, the micro services one to complete and
Automatic discussion of the user to rendering image quality, two will require to complete to make dimension-reduction treatment to original design according to the different of rendering image quality.Root
According to the difference that display is differentiated, currently, we provide drops 25%, 50%, 100% and 200% 4 kind of different selection, by rendering sample
Mode for user select determine (to understand the function user can directly select determination)；Image quality selection is rendered when having determined,
, to face element, material and ray trace dynamics, to make corresponding drop according to corresponding selection, on the basis of designing analysis comprehensively to original
Dimension processing.In this way, system can reduce it automatically and render picture if the currently used different mobile terminal of user initiates rendering task
Matter.
Rendering speed is determining to be referred in rendering, especially real-time rendering, is considered current network speed, concurrency, is deposited
Whether storage bandwidth and cloud rendering server idle condition meet the fluency demand for experience of current rendering task.If the user
There is certain requirement to time delay, then the micro services need to complete the task to environment real time monitoring is delivered, by delivering rendering
The method for increasing time tag in data flow postpones real-time monitoring to delivering, according to this as a result, or the more server sets of application
Group carries out cloud rendering to reduce render time, or the more display cachings of application reduce rendering blocking.
Parallel scheme determination is on the basis of rendering image quality determination and rendering speed determines two micro services, to complete picture
The requirement of matter and speed carries out corresponding parallelization processing to cloud rendering task.There are three tasks for the micro services, first is that available
Computing resource monitoring is rendered, second is that the rendering degree of parallelism parameter of optimization is provided according to rendering cost on the basis of one, third is that
Rendering task is split on the basis of two, the principle of segmentation is that equivalent face element is divided equally substantially, it may be assumed that first behind dimensionality reduction,
Ray trace dynamics is close and renders under the identical background in material basis, and realization is divided equally, and the consistent of render process is made every effort to.After decomposition
Each figure can all automatically generate one have correspondence markings thumbnail.Figure according to the difference of rendering effect, after decomposition
Rendering resources needed for shape region are different.Rendering resources needed for determining each piece of rendering region and the rendering resources are deposited
The position of storage forms a parallel scheme.
Rendering resources outfit refers to after forming parallel scheme, the micro services first is that generate carrying into execution a plan for refinement,
Second is that making the preparation and matching of task and resource for rendering server on the basis of one, completing corresponding rendering parameter
Setting, according to this scheme, rendering resources are loaded onto rending model.
Rendering resources distribution refers to the distribution that rendering resources are carried out according to the rendering parameter set, rendering resources point
It is rendered with cloud is started after the completion.
Cloud rendering refers to that carrying out render process after rendering resources are loaded and completed is monitored, and exception is occurring
Under, realize that the elasticity circulation of task will form rendering resources network after to rendering file analysis.Cloud rendering server meeting
Rendering resources are loaded to rending model according to the rendering resources network, are then rendered.
Rendering verification refers to after completing rendering, and the marked region after rendering and the thumbnail of correspondence markings are carried out
Inspection sees whether reach the desired rendering effect of user.
Rendering scheme recombination refers to after completing the verification service of cloud rendering task, if rendering effect is unsatisfactory for the need of user
It asks, then will do it micro services recombination, establish new rendering resources network, form new parallel scheme, rendered again.
For the micro services towards rendering, we have carried out standardized definition to it, it contains service content, service
Four basic regulations such as quality, method of service and service order, and include customized and two extension regulations of residuary rule.Each
Micro services have respective method of calling, so that they can flexibly be called under the premise of mutually indepedent, in micro services
In, the normalized by definition of micro services plays a key effect, enable the system to accurately distinguish, using and the different micro services of management.Clothes
It is engaged in the content provided title and service boundaries of micro services, service quality defines the priority level of micro services and service examination is wanted
It asks, method of service defines the basic atom operation of micro services and concurrent index, service order define the service sequence number of micro services
And dependence.To make service that there is opening, customized and two extension regulations of residuary rule, customized rule are specially set up
It surely is a kind of macro regulation, can be appropriately combined by being carried out to the part atom operation in existing micro services, simplify micro services process,
And residuary rule is then reserved regulation, is retained for system upgrade.In micro services calling, micro services registration and discovery machine have been used
System, to realize the automatic linking between micro services.
Rendering server can carry out the registration of micro services according to current cloud rendering task, determine the linking between micro services
Mode.Cloud rendering server can be gone to manage these micro services by micro services discovery mechanism and make micro services automatic flow.
After completing rendering, necessary verification will do it to rendering result.This verification be current cloud rendering complete after,
The two dimensional image thumbnail of several reflection three-dimensional scenics retained in the request service of cloud rendering resources and the rendering of current cloud are appointed
Correspondence two dimensional image marked region after business is completed is compared.If not up to figure rendering effect, cloud expected from user
Rendering server can recombinate cloud rendering scheme next time, then produce new cloud according to current cloud rendering result
Rendering scheme.And this new cloud rendering scheme is automatically generated by the intelligence recombination strategy based on machine learning.Cloud rendering clothes
Business device can generate different rendering schemes according to different rendering tasks, until reaching figure rendering effect expected from user.
Detailed description of the invention
Fig. 1 is that rendering of the invention services micro services composition figure.
Fig. 2 is micro services Principle of Communication figure of the invention.
Fig. 3 is cloud rendering service Auto Processing figure of the invention.
Specific embodiment
The contents of the present invention are further detailed with reference to the accompanying drawing.
Rendering service micro services composition figure of the invention is expressed in Fig. 1.Cloud wash with watercolours after being decomposed in a manner of micro services
Dye service includes that rendering image quality as shown in the figure is determining, rendering speed is determining, parallel scheme is determining, rendering resources are equipped with, rendering
Resource allocation, cloud rendering, rendering verification and rendering scheme recombinate this eight cloud rendering micro services and constitute.
Micro services Principle of Communication figure of the invention is expressed in Fig. 2.Example A is that rendering image quality is determining, real in detail in this figure
Example B is rendering speed determination, example C is parallel scheme determination, example D is that rendering resources are equipped with.Divide when completing cloud rendering service
Solution, and be that micro services define service content later it is necessary to defining service format messages and method of calling for each micro services.When each micro-
, can be by information registerings such as the network address of oneself into service discovery component when service starting, service discovery component can store this
A little information；Cloud rendering server can set up the network address for inquiring each micro services from service discovery, and use the call by location
Micro services；Each micro services are communicated with service discovery component using heartbeat, and service discovery component can not be with certain in incognito such as long-time
Business instance communications, will nullify the example.
Cloud rendering service automatic processing method of the invention is expressed in Fig. 3, under specific steps enter:
(1) cloud rendering service decomposition at eight micro services and is standardized setting；
(2) micro services composition, bridging mode are determined according to rendering file, establishes rendering resources network, generate parallel scheme；
(3) it is rendered according to parallel scheme；
(4) it after the completion of rendering, is verified；
(5) it if meeting expected rendering effect, completes to render；
(6) if not meeting, micro services recombination is carried out, new rendering parallel scheme is formulated and renders again, until qualification.
Claims (6)
1. a kind of cloud using micro services renders service processing method, it is characterised in that: micro services method is used, using towards clothes
The mode of business decomposes cloud rendering service.
2. a kind of cloud using micro services according to claim 1 renders service processing method, it is characterised in that: decompose it
Afterwards, form determined by rendering image quality, rendering speed determines, parallel scheme determines, rendering resources are equipped with, rendering resources distribute,
Cloud rendering, rendering verification and rendering scheme recombinate the cloud rendering service that this eight micro services are constituted.
3. a kind of cloud using micro services according to claim 2 renders service processing method, it is characterised in that: in this point
On the basis of solution, standardization setting has been carried out, it is specified that their service content, service format messages, clothes to each micro services
Business mode and service order.
4. a kind of cloud using micro services according to claim 3 renders service processing method, it is characterised in that: carry out
After standardization setting, cloud rendering server can determine bridging mode between micro services, combination according to cloud rendering task
The mechanism of mode and torsion execute rendering service can automatically.
5. a kind of cloud using micro services according to claim 4 renders service processing method, it is characterised in that: described
The mechanism of torsion is to go to realize with the mechanism of service registration and service discovery.
6. a kind of cloud using micro services according to claim 4 renders service processing method, it is characterised in that: mistake herein
Cheng Dangzhong has the intelligent monitoring based on machine learning to be monitored each rendering movement, if making an exception, can entangle in time
Partially.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN112581578A (en) * | 2020-12-23 | 2021-03-30 | 江苏赞奇科技股份有限公司 | Cloud rendering system based on software definition |
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