CN107274471A - It is a kind of to dispatch system based on rendering parallel multipriority queue offline in real time - Google Patents
It is a kind of to dispatch system based on rendering parallel multipriority queue offline in real time Download PDFInfo
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- 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
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- 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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Abstract
The invention discloses a kind of based on parallel multipriority queue scheduling system is rendered offline in real time, the scheduling system includes：Type detection module is rendered, the render request type of detection rendering task is real-time rendering request or offline render request；Resource state detection module, when render request type is that real-time rendering is asked, the state for detecting current rendering resources is busy or idle and points out user's selection to render or real-time rendering offline, if offline render request, then without the state-detection of rendering resources；Rendering task receiving module, the priority that renders for receiving rendering task and the rendering task judges information；Priority judge module, judges the priority of user's rendering task, and is stored in corresponding priority query；Rendering module, rendering task is obtained according to priority and is rendered from high to low.The present invention dynamically distributes the priority of rendering task according to user's request and resource status, improves Consumer's Experience, improves resource utilization.
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 scheduling system.
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 scheduling system, 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：
A kind of to dispatch system based on rendering parallel multipriority queue offline in real time, the scheduling system includes：
Type detection module is rendered, for detecting that the render request type for the rendering task that rendering task pond is sent is real-time
Render request or offline render request；
Resource state detection module, is connected with the type detection module that renders, and described type detection is rendered for receiving
The feedback information of module, when the render request type of the rendering task for rendering type detection module feedback please for offline render
Ask, then the offline mark offline that the resource state detection module is put in the rendering task data is 1, without rendering money
The rendering task data after processing, are then sent to task recipient, type detection are rendered when described by the state-detection in source
The render request type of the rendering task of module feedback is asked for real-time rendering, then the resource state detection module detection is current
The state of rendering resources is busy or idle and points out user's selection to render or real-time rendering offline, then the wash with watercolours after processing
Dye task data is sent to task recipient；
Rendering task receiving module, as task recipient, is connected, for receiving wash with watercolours with the resource state detection module
Dye task and the priority that renders of the rendering task judge information；
Priority judge module, is connected with the rendering task receiving module, for judging that the rendering task receives mould
The priority of user's rendering task in block, and according to the priority in deposit priority query pond；
Rendering module, is connected with the priority query pond, obtains rendering task from high to low according to priority and carries out wash with watercolours
Dye.
It is above-mentioned to dispatch system, in addition to reminding module based on rendering parallel multipriority queue offline in real time, it is described
It is that real-time rendering is asked or offline that prompting template, which is used in the render request type that detection rendering task pond sends rendering task,
Before render request, the prompt message of Primary Stage Data preparation is sent.
It is above-mentioned to dispatch system, the resource state detection module based on rendering parallel multipriority queue offline in real time
Including detection request transmitting unit, the state-detection for sending rendering resources is asked, and the rendering task receiving module is received
The state-detection is asked and counts the rendering resources quantity of current idle, when the quantity of idle rendering resources is more than 0, is returned
Idle condition gives the detection request transmitting unit, when idle rendering resources are equal to 0, returns to busy state to the detection
Request transmitting unit.
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, send single in the detection request
Member is sent before the state-detection request of rendering resources, and system is initialized to all machine resources that render, and acquiescence is all
It is the free time to render machine resources, and preserves current all idle conditions for rendering machine, is appointed when rendering machine and obtaining to render
After business, the state for rendering machine is set to busy state, and preserve the busy state for rendering machine.
It is above-mentioned to dispatch system, the resource state detection module based on rendering parallel multipriority queue offline in real time
Detect the states of current rendering resources to be busy or idle and point out user's selection is offline to render or real-time rendering is specifically included
Step：
If the resource state detection module return for busy state, point out the current rendering resources of user busy,
The mode that can be rendered offline carries out task processing, if user's selection is rendered offline, in rendering task data
The offline mark offline that renders is revised as 1, if user selects real-time rendering, rendering task data are not processed；
Return if idle condition, then rendering task data are not processed.
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, initiate accurate before rendering task request
Standby Primary Stage Data includes the house type data being embodied obtained after house house type is completed：House layout structure, model pendulum
Put, furred ceiling is put, the regulation of intensity of light and color.
Above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, the data of rendering task include：
Layout structure data, model data, furred ceiling data, light information data and offline render identify offline, described to render offline
Mark offline is defaulted as 0, is designated not offline.
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, carry out rendering priority judgement
User profile has：User type type, user gradation level.
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, receive the data of rendering task
Afterwards, judging the reference value of the priority of the rendering task is：User type type, user gradation level and offline mark
offline。
It is above-mentioned to dispatch system, the create-rule of priority query based on rendering parallel multipriority queue offline in real time
For：
The offline mark offline of S1, first detection；
If S2, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S3, offline mark offline are 0, carried out rendering team according to user type type and user gradation level
The judgement of row priority, 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。
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, according to rendering resources state, use
Family demand comprehensive descision, can achieve 5 rendering task priority queries, prioritized to be respectively：quene_0_
0、quene_0_1、quene_1_0、quene_1_1、quene_offline。
Above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, the priority query is according to wash with watercolours
Dye demand and user's request are provided with expansible attribute, the priority class for extending priority query.
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 module connection figure of the invention；
Fig. 2 renders scheduling flow figure for the present invention's；
Fig. 3 is priority query's form schematic diagram of the invention；
Fig. 4 is priority query's form schematic diagram 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.With reference to embodiment one and in fact
Two pairs of concrete technical schemes of the invention of example are applied to be described in detail.
Embodiment one：
Concrete technical scheme combination Fig. 1 module connection figure, Fig. 2 render priority flow chart and Fig. 3 priority team
Shown in column format schematic diagram, it is proposed by the present invention it is a kind of dispatch system based on rendering parallel multipriority queue offline in real time,
The scheduling system includes：
Type detection module 200 is rendered, this renders type detection module 200 and is connected with rendering task pond 100, for detecting
The render request type for the rendering task that rendering task pond 100 is sent, render request type includes real-time rendering request and offline
Two kinds of forms of render request.It is described that real-time rendering asks the definition with offline render request to see above.
Resource state detection module 300, the resource state detection module 300 connects with the type detection module 200 that renders
Connect, for receiving the feedback information for rendering type detection module 200, render what type detection module 200 was fed back when described
The render request type of rendering task is offline render request, then the resource state detection module 300 puts the rendering task number
Offline mark offline in is 1, without the state-detection of rendering resources, then the rendering task number after processing
According to being sent to task recipient.When it is described render type detection module 200 feedback rendering task render request type be for
Real-time rendering is asked, then the resource state detection module 300 first detects the state of current rendering resources, if currently rendering money
The state in source is busy, then points out user's selection to render offline；If the state of current rendering resources is the free time, user is pointed out
Real-time rendering is selected, the rendering task data after processing are then sent to task recipient.
Rendering task receiving module 400, the rendering task receiving module 400 is examined as task recipient with resource status
Module 300 is surveyed to connect, it is preferential for receiving rendering for rendering task that resource state detection module 300 sends and the rendering task
Level judges information.
Priority judge module 500, is connected with the rendering task receiving module 400, for judging the rendering task
The priority of user's rendering task in receiving module 400, and according to the priority in deposit priority query pond 600.It is excellent
The user's rendering task being stored in first level queue pond 600 is arranged from high to low according to priority level, when rendering, according to being used in queue
The priority height of family rendering task is arranged.
Rendering module 700, is connected with the priority query pond 600, appoints to being stored in rendering in priority query pond 600
Business is rendered from high to low according to priority.
Preferably, it is of the invention also to include prompting mould based on rendering parallel multipriority queue scheduling system offline in real time
Block, it is real-time rendering request that the prompting template, which is used to send the render request type of rendering task in detection rendering task pond 100,
Or before offline render request, send the prompt message of Primary Stage Data preparation.Specifically, initiating what is prepared before rendering task request
Primary Stage Data includes the house type data being embodied obtained after house house type is completed：House layout structure, model are put, hung
Top is put, the regulation of intensity of light and color.
Preferably, the resource state detection module 300 also includes detection request transmitting unit, and detection request sends single
Member is used for the state-detection request for sending rendering resources.The rendering task receiving module 400 receives state-detection request simultaneously
The rendering resources quantity of current idle is counted, when the quantity of idle rendering resources is more than 0, idle condition is returned and gives the detection
Request transmitting unit, when idle rendering resources are equal to 0, returns to busy state to the detection request transmitting unit.
Before detection request transmitting unit sends the state-detection request of rendering resources, system renders machine to all
Resource is initialized, and it is the free time to give tacit consent to all machine resources that render, and preserves current all idle shapes for rendering machine
The state for rendering machine, after rendering machine and obtaining rendering task, is set to busy state, and preserves this to render machine by state
Busy state.The resource state detection module detects the state of current rendering resources to be busy or idle and point out user
Selection is rendered offline or real-time rendering detailed process is：
If the resource state detection module return for busy state, point out the current rendering resources of user busy,
The mode that can be rendered offline carries out task processing, if user's selection is rendered offline, in rendering task data
The offline mark offline that renders is revised as 1, if user selects real-time rendering, rendering task data are not processed；Return
If idle condition, then rendering task data are not processed.Specifically, the data of rendering task include：Layout structure data,
Model data, furred ceiling data, light information data and offline render identify offline, and the offline mark offline that renders writes from memory
Think 0, be designated not offline.
Preferably, in the present invention based on the embodiment one for rendering parallel multipriority queue scheduling system offline in real time
Kind, the priority that renders that rendering task receiving module 400 receives rendering task judges that information is specifically included：User type type,
User gradation level.The create-rule of priority query is：
The offline mark offline of S1, first detection；
If S2, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S3, offline mark offline are 0, carried out rendering team according to user type type and user gradation level
The judgement of row priority, 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。
It is above-mentioned to dispatch system based on rendering parallel multipriority queue offline in real time, in step s 4, receive wash with watercolours
After the data of dye task, judging the reference value of the priority of the rendering task is：User type type, user gradation level and
Offline mark offline.Expansible attribute also can be set according to the demand that renders and user's request in priority query, excellent for extending
The priority class of first level queue.
Embodiment two：
Concrete technical scheme combination Fig. 1 module connection figure, Fig. 2 render priority flow chart and Fig. 4 priority team
Shown in column format schematic diagram, it is proposed by the present invention it is a kind of dispatch system based on rendering parallel multipriority queue offline in real time,
The scheduling system includes：
Type detection module 200 is rendered, this renders type detection module 200 and is connected with rendering task pond 100, for detecting
The render request type for the rendering task that rendering task pond 100 is sent, render request type includes real-time rendering request and offline
Two kinds of forms of render request.It is described that real-time rendering asks the definition with offline render request to see above.
Resource state detection module 300, the resource state detection module 300 connects with the type detection module 200 that renders
Connect, for receiving the feedback information for rendering type detection module 200, render what type detection module 200 was fed back when described
The render request type of rendering task is offline render request, then the resource state detection module 300 puts the rendering task number
Offline mark offline in is 1, without the state-detection of rendering resources, then the rendering task number after processing
According to being sent to task recipient.When it is described render type detection module 200 feedback rendering task render request type be for
Real-time rendering is asked, then the resource state detection module 300 first detects the state of current rendering resources, if currently rendering money
The state in source is busy, then points out user's selection to render offline；If the state of current rendering resources is the free time, user is pointed out
Real-time rendering is selected, the rendering task data after processing are then sent to task recipient.
Rendering task receiving module 400, the rendering task receiving module 400 is examined as task recipient with resource status
Module 300 is surveyed to connect, it is preferential for receiving rendering for rendering task that resource state detection module 300 sends and the rendering task
Level judges information.
Priority judge module 500, is connected with the rendering task receiving module 400, for judging the rendering task
The priority of user's rendering task in receiving module 400, and according to the priority in deposit priority query pond 600.It is excellent
The user's rendering task being stored in first level queue pond 600 is arranged from high to low according to priority level, when rendering, according to being used in queue
The priority height of family rendering task is arranged.
Rendering module 700, is connected with the priority query pond 600, appoints to being stored in rendering in priority query pond 600
Business is rendered from high to low according to priority.
Preferably, it is of the invention also to include prompting mould based on rendering parallel multipriority queue scheduling system offline in real time
Block, it is real-time rendering request that the prompting template, which is used to send the render request type of rendering task in detection rendering task pond 100,
Or before offline render request, send the prompt message of Primary Stage Data preparation.Specifically, initiating what is prepared before rendering task request
Primary Stage Data includes the house type data being embodied obtained after house house type is completed：House layout structure, model are put, hung
Top is put, the regulation of intensity of light and color.
Preferably, the resource state detection module 300 also includes detection request transmitting unit, and detection request sends single
Member is used for the state-detection request for sending rendering resources.The rendering task receiving module 400 receives state-detection request simultaneously
The rendering resources quantity of current idle is counted, when the quantity of idle rendering resources is more than 0, idle condition is returned and gives the detection
Request transmitting unit, when idle rendering resources are equal to 0, returns to busy state to the detection request transmitting unit.
Before detection request transmitting unit sends the state-detection request of rendering resources, system renders machine to all
Resource is initialized, and it is the free time to give tacit consent to all machine resources that render, and preserves current all idle shapes for rendering machine
The state for rendering machine, after rendering machine and obtaining rendering task, is set to busy state, and preserves this to render machine by state
Busy state.The resource state detection module detects the state of current rendering resources to be busy or idle and point out user
Selection is rendered offline or real-time rendering detailed process is：
If the resource state detection module return for busy state, point out the current rendering resources of user busy,
The mode that can be rendered offline carries out task processing, if user's selection is rendered offline, in rendering task data
The offline mark offline that renders is revised as 1, if user selects real-time rendering, rendering task data are not processed；Return
If idle condition, then rendering task data are not processed.Specifically, the data of rendering task include：Layout structure data,
Model data, furred ceiling data, light information data and offline render identify offline, and the offline mark offline that renders writes from memory
Think 0, be designated not offline.
Preferably, in the present invention based on the embodiment one for rendering parallel multipriority queue scheduling system offline in real time
Kind, the priority that renders that rendering task receiving module 400 receives rendering task judges that information is specifically included：User type type,
User gradation level and offline mark offline.The create-rule of priority query is：
The offline mark offline of S1, first detection；
If S2, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S3, offline mark offline are 0, carried out rendering team according to user type type and user gradation level
The judgement of row priority, 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.Along with lowest priority queue quene_offline, 5 rendering task priority queries can be achieved, are pressed
Priority orders are arranged：quene_0_0、quene_0_1、quene_1_0、quene_1_1、quene_offline.
In other embodiment, expansible attribute can be set according to the demand that renders and user's request in priority query, for further expanding
The priority class of priority query.
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. a kind of dispatch system based on rendering parallel multipriority queue offline in real time, it is characterised in that the scheduling system
Including：
Type detection module is rendered, for detecting that the render request type for the rendering task that rendering task pond is sent is real-time rendering
Request or offline render request；
Resource state detection module, is connected with the type detection module that renders, and described type detection module is rendered for receiving
Feedback information, when the rendering task for rendering type detection module feedback render request type be offline render request,
The offline mark offline that then the resource state detection module is put in the rendering task data is 1, without rendering resources
The rendering task data after processing, are then sent to task recipient, type detection module are rendered when described by state-detection
The render request type of the rendering task of feedback is asked for real-time rendering, then the resource state detection module detection is currently rendered
The state of resource is busy or idle and points out user's selection to render or real-time rendering offline, and then rendering after processing is appointed
Business data are sent to task recipient；
Rendering task receiving module, as task recipient, is connected with the resource state detection module, appoints for receiving to render
The priority that renders of business and the rendering task judges information；
Priority judge module, is connected with the rendering task receiving module, for judging in the rendering task receiving module
User's rendering task priority, and according to the priority in deposit priority query pond；
Rendering module, is connected with the priority query pond, obtains rendering task from high to low according to priority and is rendered.
2. according to claim 1 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In, in addition to reminding module, render request type of the prompting template for sending rendering task in detection rendering task pond
Before real-time rendering request or offline render request, the prompt message of Primary Stage Data preparation is sent.
3. according to claim 2 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In the resource state detection module includes detection request transmitting unit, and the state-detection for sending rendering resources is asked, institute
State rendering task receiving module and receive the rendering resources quantity that the state-detection is asked and counts current idle, when idle renders
When the quantity of resource is more than 0, idle condition is returned to the detection request transmitting unit, when idle rendering resources are equal to 0,
Busy state is returned to the detection request transmitting unit.
4. according to claim 3 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In before the detection request transmitting unit sends the state-detection request of rendering resources, system renders machine to all
Resource is initialized, and it is the free time to give tacit consent to all machine resources that render, and preserves current all idle shapes for rendering machine
The state for rendering machine, after rendering machine and obtaining rendering task, is set to busy state, and preserves this to render machine by state
Busy state.
5. according to claim 1 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In the resource state detection module detects that the state of current rendering resources is busy or idle and points out user's selection offline
Render or real-time rendering specifically includes step：
If the resource state detection module return for busy state, point out the current rendering resources of user busy, can be with
The mode rendered offline carries out task processing, if user's selection is rendered offline, offline in rendering task data
Render mark offline and be revised as 1, if user selects 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 scheduling system is rendered offline in real time, its feature exists
In the Primary Stage Data for initiating to prepare before rendering task request includes the house type number being embodied obtained after house house type is completed
According to：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 scheduling system 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 scheduling system is rendered offline in real time, its feature exists
In render the user profile of priority judgement has：User type type, user gradation level.
9. according to claim 7 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In after the data for receiving rendering task, judging the reference value of the priority of the rendering task is：User type type, user
Grade level and offline mark offline.
10. according to claim 9 based on parallel multipriority queue scheduling system is rendered offline in real time, its feature exists
In the create-rule of priority query is：
The offline mark offline of S1, first detection；
If S2, offline mark offline are equal to 1, the rendering task is put into lowest priority queue quene_
offline；
If S3, offline mark offline are 0, it is excellent to carry out render-ahead queue according to user type type and user gradation level
First level 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. according to claim 10 dispatch system, its feature based on rendering parallel multipriority queue 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. according to claim 11 dispatch system, its feature based on rendering parallel multipriority queue 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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