CN116542841A - Drawing resource scheduling method and drawing resource scheduling system - Google Patents
Drawing resource scheduling method and drawing resource scheduling system Download PDFInfo
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- CN116542841A CN116542841A CN202210056571.1A CN202210056571A CN116542841A CN 116542841 A CN116542841 A CN 116542841A CN 202210056571 A CN202210056571 A CN 202210056571A CN 116542841 A CN116542841 A CN 116542841A
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- 238000010425 computer drawing Methods 0.000 claims abstract description 15
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- 238000007689 inspection Methods 0.000 claims description 7
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Abstract
The invention provides a drawing resource scheduling method and a drawing resource scheduling system. The method comprises the following steps: establishing an inference model according to first-type descriptive information and second-type descriptive information, wherein the first-type descriptive information comprises descriptive information related to a drawing interface module suitable for being installed on user equipment, and the second-type descriptive information comprises descriptive information related to a drawing drive module suitable for being installed on remote equipment; generating pairing information by the reasoning model according to the description information related to the target drawing interface module of the target user equipment, wherein the pairing information is used for pairing the target user equipment and the target remote equipment; and indicating the target user equipment to match the target remote equipment to execute remote computer drawing according to the pairing information. Therefore, the operation efficiency of the remote computer drawing can be improved.
Description
Technical Field
The present invention relates to an operation resource scheduling technique, and more particularly, to a drawing resource scheduling method and a drawing resource scheduling system.
Background
The smaller the volume of the portable electronic device (such as a smart phone or a tablet computer) in the market, the lower the operation performance of the device. Therefore, the technical concept of remote mapping is also proposed to assist the local ue to perform remote computer mapping by the remote device, so as to improve the defect of insufficient operation performance of the local ue. However, in practice, the graphics interface module executed by the local ue and the graphics driver module adopted by the remote device may be compatible with each other or may be incompatible with each other, and even if they are compatible with each other, the problems of inconsistent versions of both sides may occur, which may result in low operation efficiency of the remote computer graphics.
Disclosure of Invention
The invention provides a drawing resource scheduling method and a drawing resource scheduling system, which can improve the operation efficiency of remote computer drawing.
The embodiment of the invention provides a drawing resource scheduling method, which comprises the following steps: establishing an inference model according to first-type descriptive information and second-type descriptive information, wherein the first-type descriptive information comprises descriptive information related to a drawing interface module suitable for being installed on user equipment, and the second-type descriptive information comprises descriptive information related to a drawing drive module suitable for being installed on remote equipment; generating pairing information by the reasoning model according to the description information related to the target drawing interface module of the target user equipment, wherein the pairing information is used for pairing the target user equipment and the target remote equipment; and indicating the target user equipment to match the target remote equipment to execute remote computer drawing according to the pairing information.
The embodiment of the invention also provides a drawing resource scheduling system which comprises a storage circuit and a processor. The storage circuit is used for storing the first type of descriptive information, the second type of descriptive information and the reasoning model. The processor is connected to the memory circuit and is configured to: establishing the reasoning model according to the first type of descriptive information and the second type of descriptive information, wherein the first type of descriptive information comprises descriptive information related to a drawing interface module suitable for being installed on user equipment, and the second type of descriptive information comprises descriptive information related to a drawing driving module suitable for being installed on remote equipment; operating the reasoning model to generate pairing information according to the description information related to the target drawing interface module of the target user equipment, wherein the pairing information is used for pairing the target user equipment and the target remote equipment; and indicating the target user equipment to match the target remote equipment to execute remote computer drawing according to the pairing information.
Based on the above, after establishing the inference model according to the first type of description information and the second type of description information, the inference model may generate pairing information according to the description information related to the target drawing interface module of the target user equipment, so as to pair the target user equipment with the target remote device. The target user device may then perform remote computer mapping with the target remote device according to the pairing information. Therefore, the operation efficiency of remote computer drawing can be effectively improved.
Drawings
FIG. 1 is a schematic diagram of a drawing resource scheduling system according to an embodiment of the present invention;
FIG. 2 is a schematic diagram of a trained inference model shown in accordance with an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating the selection of a target remote device by an inference model in accordance with an embodiment of the present invention;
FIG. 4 is a flow chart of a drawing resource scheduling method according to an embodiment of the present invention;
fig. 5 is a flowchart of a drawing resource scheduling method according to an embodiment of the present invention.
Detailed Description
Reference will now be made in detail to the exemplary embodiments of the present invention, examples of which are illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings and the description to refer to the same or like parts.
Fig. 1 is a schematic diagram of a drawing resource scheduling system according to an embodiment of the present invention. Referring to fig. 1, the drawing resource scheduling system 10 can be disposed in various electronic devices with data processing and communication functions, such as a smart phone, a tablet computer, a notebook computer, a desktop computer, an industrial computer, or a server.
The drawing resource scheduling system 10 includes a processor 11, a memory circuit 12, and an input/output (I/O) interface 13. The processor 11 is responsible for the overall or partial operation of the graphics resource scheduling system 10. For example, processor 11 may include a central processing unit (Central Processing Unit, CPU), a graphics processing unit (graphics processing unit, GPU), or other programmable general purpose or special purpose microprocessor, digital signal processor (Digital Signal Processor, DSP), programmable controller, application specific integrated circuit (Application Specific Integrated Circuits, ASIC), programmable logic device (Programmable Logic Device, PLD), or other similar device or combination of devices.
The memory circuit 12 is used for storing data. For example, the memory circuit 12 may include a volatile memory circuit and a nonvolatile memory circuit. The volatile memory circuit is used for storing data in a volatile manner. For example, the volatile memory circuit may include random access memory (Random Access Memory, RAM) or a similar volatile storage medium. The nonvolatile memory circuit is used for storing data in a nonvolatile manner. For example, the nonvolatile Memory circuit may include a Read Only Memory (ROM), a Solid State Disk (SSD), a conventional Hard Disk Drive (HDD), or similar nonvolatile Memory medium.
Input/output (I/O) interface 13 may include a variety of signal output/output devices such as a communication circuit (e.g., a network interface card), a mouse, a keyboard, a screen, a touch screen, a speaker, and/or a microphone. The invention is not limited to the type of device of the input/output interface 13.
The storage circuit 12 may be used to store description information (also referred to as a first type of description information) 101, description information (also referred to as a second type of description information) 102, and an inference model 121. The description information 101 includes description information about a drawing interface module adapted to be mounted to the user device. The description information 102 includes description information about a drawing driver module adapted to be installed at a remote device (also referred to as a server device).
In an embodiment, the user device may perform the display of graphical content based on the installed drawing interface module. For example, the user device may include a smart phone, a tablet computer, a notebook computer, a desktop computer, or a game console, among which various computer devices suitable for the display of graphic contents on the user side are included. The description information 101 may be used to describe various drawing interface modules suitable for being installed in a user device. For example, the description information 101 may include names and version information of one or more program modules in the drawing interface module.
In one embodiment, the description information 101 includes description information of at least one of a renderer (renderer) and a drawing application program in the drawing interface module, so as to describe a program, a database, or a driver software of the renderer and/or the drawing application program in the drawing interface module. For example, the description information 101 may include name and version information of the renderer and/or drawing application.
In one embodiment, the remote device may perform remote computer graphics based on the installed graphics driver module. For example, the remote device may comprise a desktop computer, an industrial computer, or a server, among other types of computer devices suitable for the server to assist the user device in remote computer graphics. The description information 102 may be used to describe various graphics driver modules suitable for being installed on a remote device. For example, the description information 102 may include names and version information of one or more program modules in the drawing driver module.
In one embodiment, the description information 102 includes description information of at least one of a graphics driver (graphics driver) and a graphics application program interface (Application Programming Interface, API) in the graphics driver module, so as to describe a program, a database or a driver software of the graphics driver and the graphics application program interface in the graphics driver module. For example, the description information 102 may include name and version information of a drawing driver and/or drawing application program interface.
Processor 11 may train and build inference model 121 based on descriptive information 101 and 102. For example, inference model 121 may include a deep learning (deep learning) model or a Neural Network (Neural Network) model, among others, that may be derived by training an artificial intelligence model from a host that performs a particular function.
Fig. 2 is a schematic diagram of a trained inference model shown in accordance with an embodiment of the present invention. Referring to fig. 2, it is assumed that the training data set 21 includes description information 211 and 212, and the training data set 22 includes description information 221 and 222. The description information 211 and 221 belong to the first type of description information. Description information 212 and 222 belong to the second category of description information. For example, the description information 211 describes a combination of a particular renderer (e.g., virgl) and a particular drawing application (e.g., halo) in the user device. For example, the description information 221 describes a combination of a particular renderer (e.g., zink) and a particular drawing application (e.g., tomb Raider) in the user device. For example, the description information 212 describes a combination of a particular drawing driver (e.g., mesa, version 19.1. X) in the remote device with a particular drawing application program interface (e.g., openGL). For example, the description information 222 describes a combination of a particular drawing driver (e.g., mesa, version 21.1. X) in the remote device with a particular drawing application program interface (e.g., vulkan).
Training data sets 21 and 22 may be used to train and build inference model 121. In particular, taking the training data set 21 as an example, the single training data set 21 includes both the description information 211 related to the specific drawing interface module used by the user equipment and the description information 212 related to the specific drawing driver module used by the remote equipment. Thus, in training the inference model 121, a particular drawing interface module in combination with a drawing driver module may be used to train the inference model 121.
It should be noted that the description information in the training data sets 21 and 22 of fig. 2 is merely exemplary, and is not intended to limit the present invention. Further, more useful information may be included in training data sets 21 and 22 to assist in training inference model 121, as the invention is not limited. In addition, more training data sets may be used to train and build the inference model 121, and the invention is not limited.
Referring back to fig. 1, in one embodiment, the memory circuit 12 may also be used to store performance reference information 103. The performance reference information 103 includes estimated performance of the drawing estimated by the drawing interface module at the user side and the drawing driver module at the server side. Processor 11 may also train and build inference model 121 based on description information 101, description information 102, and performance reference information 103.
In one embodiment, the processor 11 may perform a keyword search on resources on the Internet (Internet). For example, the processor 11 may establish a plurality of keywords for a renderer, drawing application, drawing driver, and drawing application program interface that are common in the field of common computer drawing. Processor 11 may search for relevant information from the internet based on such keywords. Then, the processor 11 may update at least one of the description information 101, the description information 102, and the performance reference information 103 according to the search result. For example, the processor 11 may update the description information 101, the description information 102, and the performance reference information 103 according to the graphics performance (e.g., several image frames per second) achieved by the specific renderer (e.g., virgl) being searched for and the specific graphics application program interface (e.g., openGL) being used for remote computer graphics.
After establishing the inference model 121, the processor 11 may run the inference model 121 to generate pairing information based on description information (also referred to as target description information) related to a drawing interface module (also referred to as target drawing interface module) of a specific user device (also referred to as target user device). For example, the target description information may be used to describe a drawing interface module employed by the target user device. For example, the target description information may include names and version information of one or more of the drawing interface modules employed by the target user device (e.g., renderer and drawing application). The pairing information may be used to pair a target user device with a particular remote device (also referred to as a target remote device). Processor 11 may then instruct the target user device to perform remote computer mapping with the target remote device based on the pairing information.
In one embodiment, in remote computer mapping, the target user device may transmit a mapping request to the target remote device. In response to the drawing request, the target remote device may execute the computer drawing based on the particular drawing driver module and return the drawing result of the computer drawing to the target user device. The target user device can present the relevant graphic content through the drawing interface module according to the drawing result returned by the target remote device.
Generally, the combination of different graphic interface modules used by the ue and different graphic driver modules used by the remote device can provide different operation performance of the remote computer graphics. If the pairing combination of the target ue and the target remote device is not good, the operation performance of the remote computer graphics executed by the target ue and the target remote device may be reduced. In one embodiment, the inference model 121 may be configured to infer or suggest a preferred pairing combination of the target ue and the target remote device to enhance the performance of the remote computer graphics performed by the target ue in conjunction with the target remote device.
In one embodiment, after the inference model 121 is established, the processor 11 may receive description information (i.e., object description information) related to the object drawing interface module of the object user device through the input/output interface 13. Processor 11 may run inference model 121 and select one of the candidate remote devices from the plurality of candidate remote devices as the target remote device based on the target descriptive information. The processor 11 may then instruct the target user device to perform remote computer mapping with the selected target remote device.
Fig. 3 is a schematic diagram illustrating the selection of a target remote device by an inference model in accordance with an embodiment of the present invention. Referring to fig. 3, assume that the target ue is ue 31 and that the candidate remote devices include remote devices 32 (1), 32 (2) and 32 (3). The user device 31 is installed with a renderer 311 and a drawing application 312. The remote device 32 (1) is installed with a drawing driver 321 (1) and a drawing application program interface 321 (2). The remote device 32 (2) is equipped with a drawing driver 322 (1) and a drawing application program interface 322 (2). The remote device 32 (3) is installed with a drawing driver 323 (1) and a drawing application program interface 323 (2). The combination of drawing drivers and drawing application program interfaces in the remote devices 32 (1), 32 (2), and 32 (3) are different from each other.
In one embodiment, inference model 121 may obtain target descriptive information about user device 31 and descriptive information about remote devices 32 (1), 32 (2), and 32 (3). For example, the object description information may include names and version information of the renderer 311 and the drawing application 312, respectively. For example, the description information associated with the remote device 32 (1) may include the names and version information of the graphics driver 321 (1) and the graphics application program interface 321 (2), respectively. For example, the description information associated with the remote device 32 (2) may include the names and version information of the graphics driver 322 (1) and the graphics application program interface 322 (2), respectively. For example, the description information associated with the remote device 32 (3) may include the names and version information of the graphics driver 323 (1) and the graphics application program interface 323 (2), respectively.
In one embodiment, the inference model 121 may select one of the remote devices 32 (1), 32 (2) and 32 (3) as the target remote device according to the target description information. For example, the inference model 121 may select, as the target remote device, a remote device that can achieve the best drawing performance on the combination of the renderer 311 and the drawing application 312 in the user device 31 according to the target description information and the description information of each of the remote devices 32 (1), 32 (2), and 32 (3). For example, assume that the inference model 121 predicts that the performance of the user device 31 in combination with the remote devices 32 (1), 32 (2), and 32 (3) to perform the remote computer graphics is to output N (1), N (2), and N (3) image frames per second, respectively, where N (1) is greater than N (2), and N (2) is greater than N (3). The inference model 121 may select the best-performing remote device 32 (1) to be matched with according to N (1), N (2) and N (3) as the target remote device to assist the user device 31 in performing remote computer mapping.
In one embodiment, the processor 11 may further continuously detect the graphics performance of the remote computer graphics performed by the target ue with the target remote device. The processor 11 may determine whether the graphics performance is below a threshold. If the drawing performance is not below the threshold, indicating that the current selection and recommendation of the inference model 121 for the target remote device is in line with the expectations, the processor 11 may temporarily update or adjust the inference model 121. On the other hand, in response to the mapping performance being below the threshold, the processor 11 may check whether the system performance of the target remote device reaches the upper performance limit.
If the system performance of the target remote device does not reach the upper performance limit, it is possible that the cause of the reduced graphics performance of the remote computer graphics is the decision logic in the inference model 121. Thus, in response to the system performance of the target remote device not reaching the upper performance limit, processor 11 may adjust inference model 121 according to the drawing interface module of the target user device. For example, the processor 11 may instruct the inference model 121 to reduce the graphics performance achievable by a combination of a graphics interface module employed by the target user device and a graphics driver module employed by the target remote device. Alternatively, the processor 11 may mark the renderer and/or drawing application in the drawing interface module employed by the target user device as inappropriate, non-reference or not recommended to be employed to reduce the performance rating of the inference model 121 on the same or similar combination of renderer and drawing application.
In addition, if the system performance of the target remote device has reached the upper performance limit, the cause of the reduced graphics performance of the remote computer graphics may be a software/hardware limitation on the system of the target remote device. Thus, in response to the system performance of the target remote device having reached the upper performance limit, the processor 11 may provide device inspection information corresponding to the target remote device. For example, the device inspection information may be transmitted to a management unit of the target remote device by means of email or short message, so as to inform the management unit of the target remote device to perform software/hardware layer device inspection (e.g. perform device update or troubleshooting) on the target remote device.
Fig. 4 is a flowchart of a drawing resource scheduling method according to an embodiment of the present invention. Referring to fig. 4, in step S401, an inference model is established according to a first type of description information and a second type of description information, wherein the first type of description information includes description information related to a drawing interface module adapted to be installed in a user device, and the second type of description information includes description information related to a drawing driver module adapted to be installed in a remote device. In step S402, pairing information is generated by the inference model according to the description information related to the target drawing interface module of the target user device, where the pairing information is used to pair the target user device with the target remote device. In step S403, the target ue is instructed to perform remote computer mapping with the target remote device according to the pairing information.
Fig. 5 is a flowchart of a drawing resource scheduling method according to an embodiment of the present invention. Referring to fig. 5, in step S501, the graphics performance of the remote computer graphics performed by the target ue and the target remote device is detected. In step S502, it is determined whether the graphics performance is lower than a threshold. If the mapping performance is not lower than the threshold, the process returns to step S501. If the mapping performance is lower than the threshold, in step S503, the system performance of the target remote device is detected. In step S504, it is determined whether the system performance of the target remote device reaches the upper performance limit. In response to the system performance of the target remote device not reaching the upper performance limit, in step S505, the inference model is adjusted according to the drawing interface module of the target user device. Alternatively, in response to the system performance of the target remote device having reached the performance upper limit, in step S506, device inspection information corresponding to the target remote device is provided.
However, the steps in fig. 4 and fig. 5 are described in detail above, and will not be repeated here. It should be noted that each step in fig. 4 and fig. 5 may be implemented as a plurality of program codes or circuits, which is not limited by the present invention. In addition, the methods of fig. 4 and 5 may be used with the above exemplary embodiments, or may be used alone, and the present invention is not limited thereto.
In summary, the embodiment of the present invention can pair and train the inference model according to the drawing interface module that may be used by the user equipment and the drawing driver module that may be used by the remote equipment in the training stage. After that, after the inference model is online, the inference model may recommend a suitable target remote device to pair with the target user device according to the target description information of the target user device to assist the target user device in performing remote computer mapping. In addition, after the target remote device is selected, the device inspection can be performed on the target remote device by continuously optimizing an inference model or informing a management unit of the target remote device according to the drawing efficiency of the executed remote computer drawing. Therefore, the operation efficiency of remote computer drawing can be effectively improved.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present invention, and not for limiting the same; although the invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some or all of the technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit of the invention.
Claims (14)
1. A drawing resource scheduling method, comprising:
establishing an inference model according to first-type descriptive information and second-type descriptive information, wherein the first-type descriptive information comprises descriptive information related to a drawing interface module suitable for being installed on user equipment, and the second-type descriptive information comprises descriptive information related to a drawing drive module suitable for being installed on remote equipment;
generating pairing information by the reasoning model according to target description information related to a target drawing interface module of target user equipment, wherein the pairing information is used for pairing the target user equipment with target remote equipment; and
and according to the pairing information, indicating the target user equipment to match the target remote equipment to execute remote computer drawing.
2. The drawing resource scheduling method of claim 1, wherein the first type of descriptive information includes descriptive information of at least one of a renderer and a drawing application in the drawing interface module.
3. The drawing resource scheduling method of claim 1, wherein said second type of descriptive information comprises descriptive information of at least one of a drawing driver and a drawing application program interface in said drawing driver module.
4. The drawing resource scheduling method of claim 1, wherein the step of establishing the inference model from the first type of descriptive information and the second type of descriptive information comprises:
establishing the reasoning model according to the first type of descriptive information, the second type of descriptive information and the efficiency reference information,
the performance reference information comprises estimated information of the estimated drawing performance which is achieved by mutual collocation of the drawing interface module and the drawing driving module.
5. The drawing resource scheduling method of claim 4, further comprising:
performing a keyword search on resources on the internet; and
and updating at least one of the first type of descriptive information, the second type of descriptive information and the efficiency reference information according to the search result.
6. The drawing resource scheduling method of claim 1, wherein the step of generating, by the inference model, the pairing information from the target description information related to the target drawing interface module of the target user device comprises:
and selecting one of the candidate remote devices from the plurality of candidate remote devices as the target remote device according to the target description information by the reasoning model.
7. The drawing resource scheduling method according to claim 1, further comprising:
detecting the drawing efficiency of the remote computer drawing executed by the target user equipment together with the target remote equipment;
in response to the mapping performance being below a threshold, checking whether the system performance of the target remote device reaches an upper performance limit;
responsive to the system performance of the target remote device not reaching the performance upper limit, adjusting the inference model according to the drawing interface module of the target user device; and
providing device inspection information corresponding to the target remote device in response to the system performance of the target remote device having reached the performance upper limit.
8. A drawing resource scheduling system, comprising:
the storage circuit is used for storing the first type of descriptive information, the second type of descriptive information and the reasoning model; and
a processor, connected to the memory circuit,
wherein the processor is configured to:
establishing the reasoning model according to the first type of descriptive information and the second type of descriptive information, wherein the first type of descriptive information comprises descriptive information related to a drawing interface module suitable for being installed on user equipment, and the second type of descriptive information comprises descriptive information related to a drawing driving module suitable for being installed on remote equipment;
operating the reasoning model to generate pairing information according to target description information related to a target drawing interface module of target user equipment, wherein the pairing information is used for pairing the target user equipment with target remote equipment; and
and according to the pairing information, indicating the target user equipment to match the target remote equipment to execute remote computer drawing.
9. The drawing resource scheduling system of claim 8, wherein the first type of descriptive information comprises descriptive information of at least one of a renderer and a drawing application in the drawing interface module.
10. The drawing resource scheduling system of claim 8, wherein said second type of descriptive information comprises descriptive information of at least one of a drawing driver and a drawing application program interface in said drawing driver module.
11. The drawing resource scheduling system of claim 8, wherein the memory circuit is further configured to store performance reference information, and the operation of building the inference model from the first type of descriptive information and the second type of descriptive information comprises:
establishing the reasoning model according to the first type of descriptive information, the second type of descriptive information and the efficiency reference information,
the performance reference information comprises estimated information of the estimated drawing performance which is achieved by mutual collocation of the drawing interface module and the drawing driving module.
12. The drawing resource scheduling system of claim 11, wherein said processor is further configured to:
performing a keyword search on resources on the internet; and
and updating at least one of the first type of descriptive information, the second type of descriptive information and the efficiency reference information according to the search result.
13. The drawing resource scheduling system of claim 8, wherein the operation of generating, by the inference model, the pairing information from the target description information related to the target drawing interface module of the target user device comprises:
and selecting one of the candidate remote devices from the plurality of candidate remote devices as the target remote device according to the target description information by the reasoning model.
14. The drawing resource scheduling system of claim 8, wherein the processor is further configured to:
detecting the drawing efficiency of the remote computer drawing executed by the target user equipment together with the target remote equipment;
in response to the mapping performance being below a threshold, checking whether the system performance of the target remote device reaches an upper performance limit;
responsive to the system performance of the target remote device not reaching the performance upper limit, adjusting the inference model according to the drawing interface module of the target user device; and
providing device inspection information corresponding to the target remote device in response to the system performance of the target remote device having reached the performance upper limit.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210056571.1A CN116542841A (en) | 2022-01-18 | 2022-01-18 | Drawing resource scheduling method and drawing resource scheduling system |
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| CN202210056571.1A CN116542841A (en) | 2022-01-18 | 2022-01-18 | Drawing resource scheduling method and drawing resource scheduling system |
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| CN116542841A true CN116542841A (en) | 2023-08-04 |
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| CN202210056571.1A Pending CN116542841A (en) | 2022-01-18 | 2022-01-18 | Drawing resource scheduling method and drawing resource scheduling system |
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