CN106407014A - Realization method of straddle machine room cluster rendering allocation - Google Patents
Realization method of straddle machine room cluster rendering allocation Download PDFInfo
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- 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
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5005—Allocation of resources, e.g. of the central processing unit [CPU] to service a request
- G06F9/5027—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals
- G06F9/5038—Allocation of resources, e.g. of the central processing unit [CPU] to service a request the resource being a machine, e.g. CPUs, Servers, Terminals considering the execution order of a plurality of tasks, e.g. taking priority or time dependency constraints into consideration
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Abstract
The invention provides a realization method of straddle machine room cluster rendering allocation. The method comprises the steps of allowing a client to design a house type and submit rendering task data to a rendering server master control component, allowing the rendering server master control component to collect rendering tasks and distribute the rendering tasks to a rendering task queue, and allowing rendering process modules with rendering process identification to request the rendering tasks to the rendering server master control component by rendering server submodules. The realization method of the straddle machine room cluster rendering allocation can conveniently and quickly achieve rendering service control, achieves precise progress monitoring management and refines distribution of the rendering tasks. A distributed renderer is used, so that the rendering time can be greatly saved; the rendering labor intensity can be reduced; the compatibility is good; and the stability is high.
Description
Technical field
The present invention relates to graphics rendering techniques field, more particularly, to a kind of across machine room Cluster Rendering deployment implementation method.
Background technology
With virtual reality technology rise with perfect, a lot of enterprises are promoted using virtual reality technology and are marketed product
Product, wherein, are also got more and more using the client that 3D technology carries out house Size Dwelling Design.With a large amount of growths of usage amount, produce
Substantial amounts of image rendering demand, and then very big pressure is produced to rendering server；But to a certain extent, every renders clothes
The rendering capability of business device is certain, in this case it is necessary to use large batch of rendering server cluster.However,
In current, one kind very well can be to large batch of rendering server machine monitors, the scheme of management；
The image rendering of existing virtual reality, suffers from the drawback that：
(1), not enough to the monitoring capacity rendering machine, a machine has during multiple process and can not carry out separating control；
(2) distribution of rendering task is relatively rough, and rendering task is unable to reasonable distribution, causes rendering resources to waste；
Therefore, the technical staff in field needs badly and works out one kind and more easily render Service controll, is accurate to the prison of process
Control way to manage, across the machine room Cluster Rendering deployment implementation method of the distribution of the rendering task that becomes more meticulous.
Content of the invention
The technical problem to be solved in the present invention is to provide a kind of across machine room Cluster Rendering to dispose implementation method, should across machine room collection
Group renders deployment implementation method and convenient can carry out rendering Service controll, the monitoring management of precise procedural, and become more meticulous rendering task
Distribution.
For solving above-mentioned technical problem, the invention provides one kind across machine room Cluster Rendering deployment implementation method, its feature
It is：There is provided client, rendering server master control assembly, some rendering server submodules and some render scheduler module,
Described rendering server master control assembly is connected with described client, described rendering server master control assembly and each described wash with watercolours
Dye server submodule connects, each described rendering server submodule is connected with the described scheduler module that renders；
Described across machine room Cluster Rendering deployment implementation method comprises the following steps：
S1：Described Client Design goes out house type and submits rendering task data to described rendering server master control assembly；
S2：Described rendering server master control collect components rendering task, is assigned in rendering task queue；
S3：The described scheduler module band that renders renders process identification (PID) and renders clothes by the described Attendant sub-module that renders to described
Business device master control assembly request rendering task；
S4：Described rendering server master control assembly carries out progress recognizing, after being mated with default process, distributes one
Corresponding task renders process unit to described；
S5：The described scheduler module that renders receives rendering task and executes, simultaneously to described rendering server master control assembly
The synchronized update entering row information preserves；
S6：After rendering end, described render scheduler module to be sent to described rendering server total the picture that renders producing
Control assembly preserves.
Preferably, the step of realizing of described step S3 is：
S301：The described scheduler module band that renders is rendered process identification (PID) and is rendered to described by the described Attendant sub-module that renders
Rendering task asked by server master control assembly；
S302：After described rendering server submodule receives request task, described rendering server submodule is to described
Rendering task asked by rendering server master control assembly.
Preferably, the step of realizing of described step S4 is：
S401：Described rendering server master control assembly carries out progress recognizing, after being mated with default process, distributes one
Individual corresponding task renders process unit to described；
S402：After described rendering server submodule receives the rendering task that described rendering server master control assembly returns
Scheduler module is rendered described in returning to.
Preferably, the step of realizing of described step S5 is：
S501：The described scheduler module that renders receives rendering task executing, and execution information be sent to described in render clothes
Business device submodule；
S502：Described rendering server submodule receives execution information, and execution information is sent to rendering server master control
Assembly processed preserves.
Preferably, the step of realizing of described step S6 is：
S601：After rendering end, the described scheduler module that renders is sent to rendering server submodule the picture that renders producing
Block；
S602：Described rendering server submodule receives and renders picture, and picture is sent to rendering server master control molding
Block preserves.
Preferably, described rendering server master control assembly includes user scheduling program servers, calculate node end, is used for
Send order to described user scheduling program servers query node information and rendering task information and to described calculate node end
Server end, the data base of the various information of calculate node collecting for storage, described calculate node end is used for accepting
The instruction of described server end carries out the collection of relevant information and by the data is activation collecting to described data base or user circle
Face, described calculate node end is arranged in calculate node, and user configures to described calculate node end and server end respectively,
Described server end inquires about current rendering task and nodal information and to described calculating section to described user scheduling program servers
Point end sends dependent instruction, and described calculate node end begins to take on related spatial cue after receiving user instruction and renders correlation
Information is sent to described data base.
Preferably, described server end includes：Data Frontend processing module, data internal processing modules and described data
The methodological function configuration module that front end processing block connects, described Data Frontend processing module and described calculate node end, described
User scheduling program servers and the connection of data internal processing modules, described data internal processing modules and described data base and institute
State calculate node end to connect, methods described functional configuration module is connected with described calculate node end and Data Frontend processing module,
Described calculate node end sends data parameters to methods described functional configuration module, and methods described functional configuration module is according to reception
Data parameters described calculate node end is initialized, described server end is by described Data Frontend processing module to institute
Each calculate node stating calculate node end sends data collection instruction, and described server end passes through described Data Frontend and processes mould
Block inquires about the situation of rendering task and calculate node, described Data Frontend processing module on described user scheduling program servers
Query Result is sent to described data internal processing modules, the described inquiry fruit that comes to an end is sent institute by described data internal processing modules
State database purchase to get up and send control instruction according to described Query Result to described calculate node end.
Preferably, methods described functional configuration module is configured with data acquisition formula, and described Data Frontend processing module is led to
Cross described data acquisition formula and carry out data acquisition to described calculate node end, described data acquisition formula is T=T0* (1+a),
The data acquisition base interval time that wherein T0 specifies for methodological function configuration module, a is the random offset between -1 to 1
Value.
Preferably, described Data Frontend processing module includes data query unit, instruction Dispatching Unit, described server end
Data collection instruction, described server are sent to each calculate node at described calculate node end by described instruction Dispatching Unit
The situation of rendering task and calculate node is inquired about at end on described user scheduling program servers by described data query unit,
Query Result is sent to described data internal processing modules by described data query unit, and described data internal processing modules include
Data analysis unit and data outputting unit, Query Result is sent to described data analysiss list by described Data Frontend processing module
Unit and data outputting unit, described data analysis unit sends control according to described Query Result to described calculate node end and refers to
Order, the described inquiry fruit that comes to an end is sent described database purchase by described data outputting unit.
Preferably, described across machine room Cluster Rendering deployment implementation method is also provided for related to machine room Cluster Rendering engine
The data acquisition unit that data is acquired, described data acquisition unit is connected with described rendering server master control assembly, described number
Include rendering engine data acquisition module and method performance data acquisition module, described rendering engine data acquisition module according to harvester
Block obtains the basic data of final each rendering task calculating, and methods described performance data collection module obtains and supplies monitor in real time
Or upload to data base's use for deliberation data.
After employing said method, described Client Design goes out house type and submits to rendering task data to render clothes to described
Business device master control assembly, described rendering server master control collect components rendering task, it is assigned in rendering task queue, described
Render scheduler module band and render process identification (PID) and by the described Attendant sub-module that renders to described rendering server master control assembly
Request rendering task, after described rendering server submodule receives request task, described rendering server submodule is again to institute
State rendering server master control assembly request rendering task, described rendering server master control assembly carries out process and sets, with pre-
If after process is mated, one corresponding task of distribution is rendered process unit, and described rendering server submodule receives institute
Render scheduler module described in returning to after the rendering task stating the return of rendering server master control assembly, described render scheduler module
Receive rendering task and execute, the synchronized update simultaneously entering row information to described rendering server master control assembly preserves, and renders
After end, the described scheduler module that renders is sent to described rendering server submodule the picture that renders producing, and described renders clothes
Business device submodule receives to render picture and picture is sent to rendering server master control assembly and preserves；Should across machine room Cluster Rendering
Deployment implementation method convenient can carry out rendering Service controll, the monitoring management of precise procedural, the distribution of the rendering task that becomes more meticulous, and makes
Use Distributed Rendering Environment device, render time can be greatlyd save, mitigation renders labor intensity, compatibility is good, and stability is strong.
Brief description
Fig. 1 is the execution flow chart of a kind of across the machine room Cluster Rendering deployment implementation method of the present invention；
Fig. 2 is the block mold signal that across machine room Cluster Rendering corresponding with the execution flow chart of Fig. 1 disposes implementation method
Figure；
Fig. 3 is the structural representation with the block mold schematic diagram corresponding rendering server master control assembly of Fig. 2.
Specific embodiment
In order that the objects, technical solutions and advantages of the present invention become more apparent, below in conjunction with drawings and Examples, right
The present invention is further elaborated.It should be appreciated that specific embodiment described herein is only used for explaining the present invention, not
For limiting the present invention.
Embodiment 1
Refer to Fig. 1 to Fig. 2, Fig. 1 is the execution flow process of a kind of across the machine room Cluster Rendering deployment implementation method of the present invention
Figure；Fig. 2 is the block mold schematic diagram that across machine room Cluster Rendering corresponding with the execution flow chart of Fig. 1 disposes implementation method.
The invention discloses one kind across machine room Cluster Rendering deployment implementation method, provide client, rendering server master control
Assembly processed, some rendering server submodules and some render scheduler module, described rendering server master control assembly with described
Client connects, described rendering server master control assembly is connected with rendering server submodule each described, each described wash with watercolours
Dye server submodule is connected with the described scheduler module that renders；
Described across machine room Cluster Rendering deployment implementation method comprises the following steps：
S1：Described Client Design goes out house type and submits rendering task data to described rendering server master control assembly；
S2：Described rendering server master control collect components rendering task, is assigned in rendering task queue；
S3：The described scheduler module band that renders renders process identification (PID) and renders clothes by the described Attendant sub-module that renders to described
Business device master control assembly request rendering task；
S4：Described rendering server master control assembly carries out progress recognizing, after being mated with default process, distributes one
Corresponding task renders process unit to described；
S5：The described scheduler module that renders receives rendering task and executes, simultaneously to described rendering server master control assembly
The synchronized update entering row information preserves；
S6：After rendering end, described render scheduler module to be sent to described rendering server total the picture that renders producing
Control assembly preserves.
The step of realizing of described step S3 is：
S301：The described scheduler module band that renders is rendered process identification (PID) and is rendered to described by the described Attendant sub-module that renders
Rendering task asked by server master control assembly；
S302：After described rendering server submodule receives request task, described rendering server submodule is to described
Rendering task asked by rendering server master control assembly.
The step of realizing of described step S4 is：
S401：Described rendering server master control assembly carries out progress recognizing, after being mated with default process, distributes one
Individual corresponding task renders process unit to described；
S402：After described rendering server submodule receives the rendering task that described rendering server master control assembly returns
Scheduler module is rendered described in returning to.
The step of realizing of described step S5 is：
S501：The described scheduler module that renders receives rendering task executing, and execution information be sent to described in render clothes
Business device submodule；
S502：Described rendering server submodule receives execution information, and execution information is sent to rendering server master control
Assembly processed preserves.
The step of realizing of described step S6 is：
S601：After rendering end, the described scheduler module that renders is sent to rendering server submodule the picture that renders producing
Block；
S602：Described rendering server submodule receives and renders picture, and picture is sent to rendering server master control molding
Block preserves.
Referring again to Fig. 3, Fig. 3 is the knot with the block mold schematic diagram corresponding rendering server master control assembly of Fig. 2
Structure schematic diagram；
Described rendering server master control assembly include user scheduling program servers, calculate node end, for described
User scheduling program servers query node information and rendering task information the service to the transmission order of described calculate node end
Device end, the data base of the various information of calculate node collecting for storage, described calculate node end is used for accepting described clothes
The instruction at business device end carries out the collection of relevant information and by the data is activation collecting to described data base or user interface, described
Calculate node end is arranged in calculate node, and user configures to described calculate node end and server end respectively, described clothes
Business device end is sent out to the described user scheduling program servers current rendering task of inquiry and nodal information and to described calculate node end
Send dependent instruction, described calculate node end begins to take on related spatial cue after receiving user instruction and sends out related spatial cue
Give described data base.
Described server end includes：Data Frontend processing module, data internal processing modules and described Data Frontend are processed
The systemic-function configuration module that module connects, described Data Frontend processing module and described calculate node end, described user scheduling
Program servers and the connection of data internal processing modules, described data internal processing modules and described data base and described calculating section
Point end connects, and described systemic-function configuration module is connected with described calculate node end and Data Frontend processing module, described calculating
Node side sends data parameters to described systemic-function configuration module, and described systemic-function configuration module is according to the data ginseng receiving
Several described calculate node end is initialized, described server end by described Data Frontend processing module to described calculate section
Each calculate node at point end sends data collection instruction, and described server end is by described Data Frontend processing module described
The situation of inquiry rendering task and calculate node on user scheduling program servers, described Data Frontend processing module will inquire about knot
Fruit is sent to described data internal processing modules, and the described inquiry fruit that comes to an end is sent described data base by described data internal processing modules
Store and control instruction is sent to described calculate node end according to described Query Result.
In the present embodiment, described systemic-function configuration module is configured with data acquisition formula, and described Data Frontend is processed
Module carries out data acquisition by described data acquisition formula to described calculate node end, and described data acquisition formula is T=T0*
(1+a) the data acquisition base interval time that, wherein T0 specifies for systemic-function configuration module, a is random between -1 to 1
Offset value.
Described Data Frontend processing module includes data query unit, instruction Dispatching Unit, and described server end passes through institute
State instruction Dispatching Unit and send data collection instruction to each calculate node at described calculate node end, described server end passes through
Described data query unit inquires about the situation of rendering task and calculate node, described number on described user scheduling program servers
According to query unit, Query Result is sent to described data internal processing modules, described data internal processing modules include data and divide
Analysis unit and data outputting unit, Query Result is sent to described data analysis unit and number by described Data Frontend processing module
According to output unit, described data analysis unit sends control instruction according to described Query Result to described calculate node end, described
The described inquiry fruit that comes to an end is sent described database purchase by data outputting unit.
Embodiment 2
In the present embodiment, system is realized in described across machine room Cluster Rendering deployment is also provided for drawing to machine room Cluster Rendering
Hold up the data acquisition unit that related data is acquired, described data acquisition unit is connected with described rendering server master control assembly,
Described data acquisition unit includes rendering engine data acquisition module and system performance information acquisition module, described rendering engine data
Acquisition module obtains the basic data of final each rendering task calculating, and described system performance information acquisition module obtains for real
When monitoring or upload to data base's use for deliberation data.
After employing said method, described Client Design goes out house type and submits to rendering task data to render clothes to described
Business device master control assembly, described rendering server master control collect components rendering task, it is assigned in rendering task queue, described
Render scheduler module band and render process identification (PID) and by the described Attendant sub-module that renders to described rendering server master control assembly
Request rendering task, after described rendering server submodule receives request task, described rendering server submodule is again to institute
State rendering server master control assembly request rendering task, described rendering server master control assembly carries out process and sets, with pre-
If after process is mated, one corresponding task of distribution is rendered process unit, and described rendering server submodule receives institute
Render scheduler module described in returning to after the rendering task stating the return of rendering server master control assembly, described render scheduler module
Receive rendering task and execute, the synchronized update simultaneously entering row information to described rendering server master control assembly preserves, and renders
After end, the described scheduler module that renders is sent to described rendering server submodule the picture that renders producing, and described renders clothes
Business device submodule receives to render picture and picture is sent to rendering server master control assembly and preserves；Should across machine room Cluster Rendering
Deployment implementation method convenient can carry out rendering Service controll, the monitoring management of precise procedural, the distribution of the rendering task that becomes more meticulous, and makes
Use Distributed Rendering Environment device, render time can be greatlyd save, mitigation renders labor intensity, compatibility is good, and stability is strong.
Simultaneously it should be appreciated that these are only the preferred embodiments of the present invention it is impossible to therefore limit the patent of the present invention
Equivalent structure or equivalent implementation method that scope, every utilization description of the invention and accompanying drawing content are made, or directly or indirectly
It is used in other related technical fields, be included within the scope of the present invention.
Claims (10)
1. one kind across machine room Cluster Rendering deployment implementation method it is characterised in that：Client, rendering server master control group are provided
Part, some rendering server submodules and some render scheduler module, described rendering server master control assembly and described client
End connects, described rendering server master control assembly is connected with rendering server submodule each described, render clothes described in each
Business device submodule is connected with the described scheduler module that renders；
Described across machine room Cluster Rendering deployment implementation method comprises the following steps：
S1：Described Client Design goes out house type and submits rendering task data to described rendering server master control assembly；
S2：Described rendering server master control collect components rendering task, is assigned in rendering task queue；
S3：The described scheduler module band that renders renders process identification (PID) and by the described Attendant sub-module that renders to described rendering server
Rendering task asked by master control assembly；
S4：Described rendering server master control assembly carries out progress recognizing, after being mated with default process, distributes a correspondence
Task described rendered process unit；
S5：The described scheduler module that renders receives rendering task and executes, and carries out to described rendering server master control assembly simultaneously
The synchronized update of information preserves；
S6：After rendering end, the described scheduler module that renders is sent to described rendering server master control the picture that renders producing
Assembly preserves.
2. across machine room Cluster Rendering deployment implementation method according to claim 1 it is characterised in that：The reality of described step S3
Now step is：
S301：The described scheduler module band that renders renders process identification (PID) and renders service by the described Attendant sub-module that renders to described
Rendering task asked by device master control assembly；
S302：After described rendering server submodule receives request task, described rendering server submodule renders to described
Rendering task asked by server master control assembly.
3. across machine room Cluster Rendering deployment implementation method according to claim 1 it is characterised in that：The reality of described step S4
Now step is：
S401：Described rendering server master control assembly carries out progress recognizing, and after being mated with default process, distribution one is right
Answering of task renders process unit to described；
S402：Described rendering server submodule returns after receiving the rendering task that described rendering server master control assembly returns
Render scheduler module to described.
4. across machine room Cluster Rendering deployment implementation method according to claim 1 it is characterised in that：The reality of described step S5
Now step is：
S501：The described scheduler module that renders receives rendering task and executes, and execution information is sent to described rendering server
Submodule；
S502：Described rendering server submodule receives execution information, and execution information is sent to rendering server master control group
Part preserves.
5. across machine room Cluster Rendering deployment implementation method according to claim 1 it is characterised in that：The reality of described step S6
Now step is：
S601：After rendering end, the described scheduler module that renders is sent to rendering server submodule the picture that renders producing；
S602：Described rendering server submodule receives and renders picture, picture is sent to rendering server total control module and protects
Deposit.
6. across machine room Cluster Rendering deployment implementation method according to claim 1 it is characterised in that：Described rendering server
Master control assembly includes user scheduling program servers, calculate node end, is used for the inquiry of described user scheduling program servers
Nodal information and rendering task information simultaneously send the server end of order, based on storing and collecting to described calculate node end
The data base of the various information of operator node, the instruction that described calculate node end is used for accepting described server end carries out relevant information
Collection and by the data is activation collecting give described data base or user interface, described calculate node end is arranged on calculate node
On, user configures to described calculate node end and server end respectively, and described server end is to described user scheduling program
The current rendering task of server lookup and nodal information simultaneously send dependent instruction, described calculate node end to described calculate node end
Begin to take on related spatial cue after receive user instruction and related spatial cue is sent to described data base.
7. across machine room Cluster Rendering deployment implementation method according to claim 6 it is characterised in that：Described server end bag
Include：The methodological function configuration that Data Frontend processing module, data internal processing modules are connected with described Data Frontend processing module
At module, described Data Frontend processing module and described calculate node end, described user scheduling program servers and data are internal
Reason module connects, and described data internal processing modules are connected with described data base and described calculate node end, methods described function
Configuration module is connected with described calculate node end and Data Frontend processing module, and described calculate node end is joined to methods described function
Put module and send data parameters, methods described functional configuration module is carried out to described calculate node end according to the data parameters receiving
Initialization, described server end is sent to each calculate node at described calculate node end by described Data Frontend processing module
Data collection instructs, and described server end is looked on described user scheduling program servers by described Data Frontend processing module
Ask the situation of rendering task and calculate node, Query Result is sent at described data inside described Data Frontend processing module
Reason module, the described inquiry fruit that comes to an end is sent described database purchase and gets up and according to described inquiry by described data internal processing modules
Result sends control instruction to described calculate node end.
8. across machine room Cluster Rendering deployment implementation method according to claim 7 it is characterised in that：Methods described function is joined
Put module and be configured with data acquisition formula, described Data Frontend processing module calculates section by described data acquisition formula to described
Point end carries out data acquisition, and described data acquisition formula is T=T0* (1+a), and wherein T0 specifies for methodological function configuration module
The data acquisition base interval time, a is the random offset value between -1 to 1.
9. across machine room Cluster Rendering deployment implementation method according to claim 7 it is characterised in that：At described Data Frontend
Reason module includes data query unit, instruction Dispatching Unit, and described server end passes through described instruction Dispatching Unit to described meter
Each calculate node at operator node end sends data collection instruction, and described server end passes through described data query unit described
The situation of inquiry rendering task and calculate node on user scheduling program servers, Query Result is sent out by described data query unit
Give described data internal processing modules, described data internal processing modules include data analysis unit and data outputting unit,
Query Result is sent to described data analysis unit and data outputting unit by described Data Frontend processing module, and described data is divided
Analysis unit sends control instruction according to described Query Result to described calculate node end, and described data outputting unit comes to an end described
Ask fruit and send described database purchase.
10. according to arbitrary described across the machine room Cluster Rendering deployment implementation method of claim 1 to 9 it is characterised in that：Described across
Machine room Cluster Rendering deployment implementation method also provides adopts for the data that machine room Cluster Rendering engine related data is acquired
Storage, described data acquisition unit is connected with described rendering server master control assembly, and described data acquisition unit includes rendering engine
Data acquisition module and method performance data acquisition module, described rendering engine data acquisition module obtains each of final calculating
The basic data of rendering task, methods described performance data collection module obtain for monitor in real time or upload to data base for
Research use data.
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| CN105976420A (en) * | 2015-08-28 | 2016-09-28 | 深圳市彬讯科技有限公司 | Online rendering method and system |
| CN105511962A (en) * | 2015-11-27 | 2016-04-20 | 华为技术有限公司 | Rendering method and device |
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