CN107274470A - It is a kind of based on rendering parallel multipriority queue dispatching method offline in real time - Google Patents
It is a kind of based on rendering parallel multipriority queue dispatching method offline in real time Download PDFInfo
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- CN107274470A CN107274470A CN201710452925.3A CN201710452925A CN107274470A CN 107274470 A CN107274470 A CN 107274470A CN 201710452925 A CN201710452925 A CN 201710452925A CN 107274470 A CN107274470 A CN 107274470A
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T15/00—3D [Three Dimensional] image rendering
- G06T15/005—General purpose rendering architectures
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; 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
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
- G06F9/4806—Task transfer initiation or dispatching
- G06F9/4843—Task transfer initiation or dispatching by program, e.g. task dispatcher, supervisor, operating system
- G06F9/4881—Scheduling strategies for dispatcher, e.g. round robin, multi-level priority queues
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06T—IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
- G06T1/00—General purpose image data processing
- G06T1/20—Processor architectures; Processor configuration, e.g. pipelining
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Abstract
The invention discloses a kind of based on parallel multipriority queue dispatching method is rendered offline in real time, it is related to 3D Renderings field.The method comprising the steps of：Whether S1, the render request type of detection rendering task are real-time rendering request or offline render request；S2, if real-time rendering ask, then detect current rendering resources state whether be it is busy or idle and point out user selection render or real-time rendering offline, if offline render request, then without the state-detection of rendering resources；S3, reception rendering task and the rendering task priority that renders judge information；S4, the priority for judging user's rendering task, and it is stored in corresponding priority query；S5, rendering task is obtained according to priority from high to low rendered.The present invention while lifting Consumer's Experience, can also improve resource utilization using based on multipriority task scheduling approach that is real-time, rendering offline according to user's request and the priority of resource status dynamically distributes rendering task.
Description
Technical field
The present invention relates to 3D Renderings field, more particularly to it is a kind of based on rendering parallel multipriority team offline in real time
Row dispatching method.
Background technology
The current high speed development with virtual reality technology, produces a large amount of calculating tasks related based on virtual reality.
Virtual Decoration Industry, generates a large amount of 3D house ornamentation design softwares that What You See Is What You Get is realized using virtual reality technology.Produce therewith
Raw substantial amounts of image rendering mission requirements, but the substantial amounts of demand that renders can't be evenly distributed to different time sections, thus produce
A large amount of situations for rendering user's wait are given birth to.Such software does not all divide different priorities to carry out task processing on current market,
But the implementation first rendered first is used, cause very poor Consumer's Experience.
The content of the invention
To solve above-mentioned technical problem, the invention provides a kind of based on rendering parallel multipriority team offline in real time
Row dispatching method, method proposed by the present invention solves rendering resources under prior art and wasted, the problem of rendering experience difference.
The present invention realizes that the technical scheme that above-mentioned technique effect is used is：
It is a kind of based on parallel multipriority queue dispatching method is rendered offline in real time, the described method comprises the following steps：
Whether S1, the render request type of detection rendering task are real-time rendering request or offline render request；
S2, if offline render request, then the offline mark offline put in rendering task data is 1, without wash with watercolours
The state-detection of resource is contaminated, the rendering task data after processing are then sent to task recipient, please if real-time rendering
Ask, then whether the state for detecting current rendering resources is busy or idle and points out user's selection is offline to render or real-time wash with watercolours
Rendering task data after processing, are then sent to task recipient by dye；
S3, reception rendering task and the rendering task priority that renders judge information；
S4, the priority for judging user's rendering task, and it is stored in corresponding priority query；
S5, rendering task is obtained according to priority from high to low rendered.
Further, performed described based in rendering parallel multipriority queue dispatching method offline in real time
Before the step S1, in addition to step：
S0, progress Primary Stage Data preparation, data initiate rendering task request after being ready to complete.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S2, the busy or idle condition of detection Current resource includes step：
S21, the state-detection request for sending rendering resources, receive the state-detection and ask and count rendering for current idle
Resource quantity, when the quantity of idle rendering resources is more than 0, returns to the sender that idle condition is asked to state-detection, when
When idle rendering resources are equal to 0, the sender that busy state is asked to state-detection is returned.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
Also include step before S21：
S211, initialization is all renders machine resources, and it is the free time to give tacit consent to all machine resources that render, and preserves current institute
What is had renders the idle condition of machine；
S212, when render machine obtain rendering task after, the state for rendering machine is set to busy state, and preserve
This renders the busy state of machine.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S2, point out user's selection is offline to render or include the step of real-time rendering：
S22, return if busy state, then point out the current rendering resources of user busy, can be rendered offline
Mode carry out task processing, if user selection render offline, in rendering task data offline render mark
Offline is revised as 1, if user continues to render real-time rendering, rendering task data are not processed；
Return if idle condition, then rendering task data are not processed.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S0, the Primary Stage Data for initiating to prepare before rendering task request includes the house type being embodied obtained after house house type is completed
Data：House layout structure, model are put, furred ceiling is put, the regulation of intensity of light and color.
Further, render and appoint based in rendering parallel multipriority queue dispatching method offline in real time described
The data of business include：Layout structure data, model data, furred ceiling data, light information data and render mark offline
Offline, the offline mark offline that renders is defaulted as 0, is designated not offline.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S3, render the user profile of priority judgement has：User type type, user gradation level.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S4, after the data for receiving rendering task, judging the reference value of the priority of the rendering task is：User type type, use
Family grade level and offline mark offline.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, priority
The create-rule of queue is：
The offline mark offline of S41, first detection；
If S42, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S43, offline mark offline are 0, rendered according to user type type and user gradation level
Queue priority judgement, wherein, user type type has value 0 and 1, and user gradation level has value 0 and 1, priority query's form
For：Quene_type_level, it is prioritized to be respectively：Quene_0_0, quene_0_1, quene_1_0 and
quene_1_1。
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, according to wash with watercolours
Resource status, user's request comprehensive descision are contaminated, 5 rendering task priority queries, prioritized point can be achieved
It is not：quene_0_0、quene_0_1、quene_1_0、quene_1_1、quene_offline.
Further, it is described excellent described based in rendering parallel multipriority queue dispatching method offline in real time
First level queue is provided with expansible attribute according to the demand that renders and user's request, the priority class for extending priority query
Not.
The beneficial effects of the invention are as follows：The present invention is used based on multipriority task scheduling approach that is real-time, rendering offline,
The priority of rendering task can be dynamically distributed according to user's request and resource status, there is provided money while lifting Consumer's Experience
Source utilization rate.
Brief description of the drawings
Fig. 1 is flow chart of the invention.
Embodiment
More clearly intactly illustrate to be made to the present invention, below in conjunction with the accompanying drawings with the specific embodiment pair of the present invention
Technical scheme is further illustrated.
First, two technical terms of the present invention are made explanations explanation, wherein, real-time rendering task refers to user
Requirement height to render time is, it is necessary to being rendered within the shortest time for task.Offline rendering task refers to user to rendering
The requirement of time is low, being rendered after machine resources idle is rendered for task.
It is proposed by the present invention a kind of parallel how preferential based on rendering offline in real time shown in concrete technical scheme combination Fig. 1
Level array dispatching method, the described method comprises the following steps：
Whether S1, the render request type of detection rendering task are real-time rendering request or offline render request.
S2, if offline render request, then the offline mark offline put in rendering task data is 1, without wash with watercolours
The state-detection of resource is contaminated, the rendering task data after processing are then sent to task recipient.Please if real-time rendering
Ask, then whether the state for detecting current rendering resources is busy or the free time.Current rendering resources are busy, then point out user's choosing
Select and render offline, to avoid rendering the peak period of processing, wait rendering resources free time reprocessing.Current rendering resources are the free time,
Then the rendering task data after processing, are then sent to task recipient by prompting user selection real-time rendering.
S3, reception rendering task and the rendering task priority that renders judge information.
S4, the priority for judging user's rendering task, and it is stored in corresponding priority query.
S5, rendering task is obtained according to priority from high to low rendered.
Further, performed described based in rendering parallel multipriority queue dispatching method offline in real time
Before the step S1, in addition to step：
S0, progress Primary Stage Data preparation, data initiate rendering task request after being ready to complete.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S2, the busy or idle condition of detection Current resource includes step：
S21, the state-detection request for sending rendering resources, receive the state-detection and ask and count rendering for current idle
Resource quantity, when the quantity of idle rendering resources is more than 0, returns to the sender that idle condition is asked to state-detection, when
When idle rendering resources are equal to 0, the sender that busy state is asked to state-detection is returned.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
Also include step before S21：
S211, initialization is all renders machine resources, and it is the free time to give tacit consent to all machine resources that render, and preserves current institute
What is had renders the idle condition of machine；
S212, when render machine obtain rendering task after, the state for rendering machine is set to busy state, and preserve
This renders the busy state of machine.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S2, point out user's selection is offline to render or include the step of real-time rendering：
S22, return if busy state, then point out the current rendering resources of user busy, can be rendered offline
Mode carry out task processing, if user selection render offline, in rendering task data offline render mark
Offline is revised as 1, if user continues to render real-time rendering, rendering task data are not processed；
Return if idle condition, then rendering task data are not processed.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S0, the Primary Stage Data for initiating to prepare before rendering task request includes the house type being embodied obtained after house house type is completed
Data：House layout structure, model are put, furred ceiling is put, the regulation of intensity of light and color.
Further, render and appoint based in rendering parallel multipriority queue dispatching method offline in real time described
The data of business include：Layout structure data, model data, furred ceiling data, light information data and render mark offline
Offline, the offline mark offline that renders is defaulted as 0, is designated not offline.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S3, render the user profile of priority judgement has：User type type, user gradation level.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, in step
In S4, after the data for receiving rendering task, judging the reference value of the priority of the rendering task is：User type type, use
Family grade level and offline mark offline.
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, priority
The create-rule of queue is：
The offline mark offline of S41, first detection；
If S42, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S43, offline mark offline are 0, rendered according to user type type and user gradation level
Queue priority judgement, wherein, user type type has value 0 and 1, and user gradation level has value 0 and 1, priority query's form
For：Quene_type_level, it is prioritized to be respectively：Quene_0_0, quene_0_1, quene_1_0 and
quene_1_1。
Further, described based in rendering parallel multipriority queue dispatching method offline in real time, according to wash with watercolours
Resource status, user's request comprehensive descision are contaminated, 5 rendering task priority queries, prioritized point can be achieved
It is not：quene_0_0、quene_0_1、quene_1_0、quene_1_1、quene_offline.
Further, it is described excellent described based in rendering parallel multipriority queue dispatching method offline in real time
First level queue is provided with expansible attribute according to the demand that renders and user's request, the priority class for extending priority query
Not.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all essences in the present invention
Any modifications, equivalent substitutions and improvements made within refreshing and principle etc., should be included in the scope of the protection.
Claims (12)
1. it is a kind of based on rendering parallel multipriority queue dispatching method offline in real time, it is characterised in that methods described includes
Following steps：
Whether S1, the render request type of detection rendering task are real-time rendering request or offline render request；
S2, if offline render request, then the offline mark offline put in rendering task data is 1, without rendering money
Rendering task data after processing, are then sent to task recipient by the state-detection in source, are asked if real-time rendering, then
Detect current rendering resources state whether be it is busy or idle and point out user selection render or real-time rendering offline, then
Rendering task data after processing are sent to task recipient；
S3, reception rendering task and the rendering task priority that renders judge information；
S4, the priority for judging user's rendering task, and it is stored in corresponding priority query；
S5, rendering task is obtained according to priority from high to low rendered.
2. according to claim 1 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In, before the step S1 is performed, in addition to step：
S0, progress Primary Stage Data preparation, data initiate rendering task request after being ready to complete.
3. according to claim 2 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In in step s 2, the busy or idle condition of detection Current resource includes step：
S21, the state-detection request for sending rendering resources, receive the rendering resources that the state-detection is asked and counts current idle
Quantity, when the quantity of idle rendering resources is more than 0, returns to the sender that idle condition is asked to state-detection, works as the free time
Rendering resources when being equal to 0, return to the sender that is asked to state-detection of busy state.
4. according to claim 3 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In also including step before step S21：
S211, initialization is all renders machine resources, and it is the free time to give tacit consent to all machine resources that render, and preserves current all
Render the idle condition of machine；
S212, when render machine obtain rendering task after, the state for rendering machine is set to busy state, and preserve the wash with watercolours
Contaminate the busy state of machine.
5. according to claim 1 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In in step s 2, pointing out user's selection is offline to render or include the step of real-time rendering：
S22, return if busy state, then point out the current rendering resources of user busy, the side that can be rendered offline
Formula carries out task processing, if user's selection is rendered offline, and the offline mark offline that renders in rendering task data is repaiied
1 is changed to, if user continues to render real-time rendering, rendering task data are not processed；
Return if idle condition, then rendering task data are not processed.
6. according to claim 2 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In in step so), the Primary Stage Data for initiating to prepare before rendering task request includes the tool obtained after house house type is completed
As the house type data of change：House layout structure, model are put, furred ceiling is put, the regulation of intensity of light and color.
7. according to claim 1 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In the data of rendering task include：Layout structure data, model data, furred ceiling data, light information data and render mark offline
Know offline, the offline mark offline that renders is defaulted as 0, is designated not offline.
8. according to claim 1 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In in step s3, render the user profile of priority judgement has：User type type, user gradation level.
9. according to claim 7 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In in step s 4, after the data for receiving rendering task, judging the reference value of the priority of the rendering task is：User class
Type type, user gradation level and offline is identified offline.
10. according to claim 9 based on parallel multipriority queue dispatching method is rendered offline in real time, its feature exists
In the create-rule of priority query is：
The offline mark offline of S41, first detection；
If S42, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S43, offline mark offline are 0, render-ahead queue is carried out according to user type type and user gradation level
Priority judgement, wherein, user type type has value 0 and 1, and user gradation level has value 0 and 1, and priority query's form is：
Quene_type_level, it is prioritized to be respectively：Quene_0_0, quene_0_1, quene_1_0 and quene_
1_1。
11. it is according to claim 10 based on rendering parallel multipriority queue dispatching method, its feature offline in real time
It is, according to rendering resources state, user's request comprehensive descision, 5 rendering task priority queries can be achieved, according to priority
Order is arranged：quene_0_0、quene_0_1、quene_1_0、quene_1_1、quene_offline.
12. it is according to claim 11 based on rendering parallel multipriority queue dispatching method, its feature offline in real time
It is, the priority query is provided with expansible attribute according to the demand that renders and user's request, for extending priority query
Priority class.
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| CN108415766A (en) * | 2018-03-06 | 2018-08-17 | 洛阳理工学院 | A kind of rendering task dynamic dispatching method |
| CN108763297A (en) * | 2018-04-18 | 2018-11-06 | Oppo广东移动通信有限公司 | Webpage resource processing method and device and mobile terminal |
| CN109062984A (en) * | 2018-06-29 | 2018-12-21 | 深圳市彬讯科技有限公司 | A kind of data analysing method and analysis system based on label |
| CN109739489A (en) * | 2017-10-31 | 2019-05-10 | 天津数观科技有限公司 | Method and device for generating data chart by using JavaScript |
| CN111209109A (en) * | 2019-12-30 | 2020-05-29 | 江苏艾佳家居用品有限公司 | Docker-based home decoration industry cloud rendering cluster scheduling system and scheduling method |
| CN112860391A (en) * | 2020-12-30 | 2021-05-28 | 佛山欧神诺云商科技有限公司 | Dynamic cluster rendering resource management system and method |
| CN113626902A (en) * | 2021-08-18 | 2021-11-09 | 杭州群核信息技术有限公司 | Material modeling system based on PBR material |
| CN116347003A (en) * | 2023-05-30 | 2023-06-27 | 湖南快乐阳光互动娱乐传媒有限公司 | Virtual lamplight real-time rendering method and device |
| CN118052630A (en) * | 2024-04-16 | 2024-05-17 | 深圳市银雁科技有限公司 | Task priority optimization method and device, electronic equipment and storage medium |
| CN118966362A (en) * | 2024-10-15 | 2024-11-15 | 中兴通讯股份有限公司 | Request processing method, electronic device, storage medium and program product |
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| CN108763297A (en) * | 2018-04-18 | 2018-11-06 | Oppo广东移动通信有限公司 | Webpage resource processing method and device and mobile terminal |
| CN109062984A (en) * | 2018-06-29 | 2018-12-21 | 深圳市彬讯科技有限公司 | A kind of data analysing method and analysis system based on label |
| CN111209109B (en) * | 2019-12-30 | 2022-07-08 | 江苏艾佳家居用品有限公司 | Docker-based home decoration industry cloud rendering cluster scheduling system and scheduling method |
| CN111209109A (en) * | 2019-12-30 | 2020-05-29 | 江苏艾佳家居用品有限公司 | Docker-based home decoration industry cloud rendering cluster scheduling system and scheduling method |
| CN112860391B (en) * | 2020-12-30 | 2023-07-07 | 佛山欧神诺云商科技有限公司 | Dynamic cluster rendering resource management system and method |
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| CN113626902A (en) * | 2021-08-18 | 2021-11-09 | 杭州群核信息技术有限公司 | Material modeling system based on PBR material |
| CN113626902B (en) * | 2021-08-18 | 2024-02-20 | 杭州群核信息技术有限公司 | Material modeling system based on PBR material |
| CN116347003A (en) * | 2023-05-30 | 2023-06-27 | 湖南快乐阳光互动娱乐传媒有限公司 | Virtual lamplight real-time rendering method and device |
| CN116347003B (en) * | 2023-05-30 | 2023-08-11 | 湖南快乐阳光互动娱乐传媒有限公司 | Virtual lamplight real-time rendering method and device |
| CN118052630A (en) * | 2024-04-16 | 2024-05-17 | 深圳市银雁科技有限公司 | Task priority optimization method and device, electronic equipment and storage medium |
| CN118966362A (en) * | 2024-10-15 | 2024-11-15 | 中兴通讯股份有限公司 | Request processing method, electronic device, storage medium and program product |
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