CN117861198A - Method, client, server and system for adjusting resolution of client application - Google Patents
Method, client, server and system for adjusting resolution of client application Download PDFInfo
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Abstract
The embodiment of the invention provides a method for adjusting the resolution of a client application, a client, a server and a system, and belongs to the technical field of computer vision. When the method is applied to a client, the method includes: starting a client application, and sending the equipment performance data of the client to a remote server; receiving a resolution level from the remote server in response to the device performance data, setting a resolution of the client according to the resolution level; transmitting the operation parameters of the client to a remote server; and receiving a resolution level from the remote server in response to the device performance data and the operating parameters, and adjusting the set resolution according to the resolution level. The method for adjusting the resolution of the client application provided by the embodiment of the invention can realize automatic adjustment of the rendering picture of the client application, and achieve the maximum utilization of the hardware resources deployed by the client.
Description
Technical Field
The invention relates to the technical field of computer vision, in particular to a method, a client, a server and a system for adjusting resolution of client application.
Background
The cloud game is a game mode based on cloud computing, all games are rendered through a server with high cloud configuration in a running mode of the cloud game, and game pictures after the rendering are compressed and then transmitted to a mobile phone client through a network. At the mobile phone client, the game device of the user can normally run the game only by the basic video decompression capability without configuring any high-end processor and display card.
The inventor finds that the number of game frames is an important index for measuring game performance in the process of realizing the invention, and is important for improving game experience. The higher the number of frames of the game, the smoother the operation, the lower the number of frames of the game, the more the game picture is stuck, and the operation is incoherent. Because the mobile phones of different models have different system-on-chip (SOC), different game frame numbers can be generated when a cloud game is run, so that different game experiences are caused; even if the system-on-chip SOC of the mobile phone is the same, different game frame numbers can be generated when the cloud game is run due to different memories or operating systems.
Disclosure of Invention
The embodiment of the invention aims to provide a method, a client, a server and a system for adjusting the resolution of a client application.
To achieve the above object, a first aspect of an embodiment of the present invention provides a method for adjusting resolution of a client application, where the method is applied to a client, the method includes:
starting a client application, and sending the equipment performance data of the client to a remote server;
receiving a resolution level from the remote server in response to the device performance data, setting a resolution of the client according to the resolution level;
transmitting the operation parameters of the client to a remote server; and
a resolution level responsive to the device performance data and operating parameters is received from the remote server and the set resolution is adjusted based on the resolution level.
Optionally, the device performance data includes: device SOC parameters, memory parameters, and operating system parameters; wherein the equipment SOC parameter comprises a chip model;
the operating parameters include: server frame number, server resolution, client frame number, and client resolution.
Optionally, the client application sends the device performance data and/or the operation parameters to the remote server in a buried point manner.
Optionally, after receiving the first frame of picture sent by the remote server, the client application sends the device performance data and the operation parameters in the fixed time interval to the remote server according to a preset sampling frequency.
A second aspect of an embodiment of the present invention provides a method for adjusting resolution of a client application, where the method is applied to a server, and the method includes:
the remote server receives the device performance data of the client sent by the client application, determines a resolution level according to a preset resolution level tag library and the device performance data, and sends the resolution level to the client application;
the remote server receives the operation parameters of the client sent by the client application, adjusts the resolution level according to the adjustment record of the resolution level stored by the remote server and the combination of the equipment performance data and the operation parameters, and sends the adjusted resolution level to the client application.
Optionally, the device performance data includes: device SOC parameters, memory parameters, and operating system parameters; wherein the equipment SOC parameter comprises a chip model;
the operating parameters include: server frame number, server resolution, client frame number, and client resolution.
Optionally, the remote server determines an average frame number difference value and an average resolution difference value according to an operation parameter sent by the client application;
the average frame number difference value is an average difference value between the frame number of the server and the frame number of the client in a preset time interval; the average resolution difference value is the average difference value between the resolution of the server and the resolution of the client in a preset time interval;
when the average frame number difference value and the average resolution difference value are within a preset error range, the resolution grade is improved;
and when the average frame number difference value and the average resolution difference value are out of a preset error range, reducing the resolution level.
Optionally, when the resolution level is adjusted, the remote server stores a corresponding adjustment record.
A third aspect of embodiments of the present invention provides a client comprising a memory and a processor configured to perform a method of adjusting a resolution of a client application applied to the client.
A fourth aspect of the present invention provides a server, including a memory and a processor configured to perform a method for adjusting a resolution of a client application applied to a server.
A fifth aspect of the present invention provides a system, including the client and the server.
Through the technical scheme, the remote server is communicated with the client application, the remote server determines the resolution level according to the equipment performance data sent by the client application, adjusts the resolution level according to the equipment performance data and the operation parameters of the client sent by the client application, and sends the resolution level to the client application, and the client application adjusts the locally set resolution according to the received resolution level, so that the automatic adjustment of the resolution of a rendering picture of the client application can be realized, and the maximum utilization of hardware resources deployed by the client is achieved.
Additional features and advantages of embodiments of the invention will be set forth in the detailed description which follows.
Drawings
The accompanying drawings are included to provide a further understanding of embodiments of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain, without limitation, the embodiments of the invention. In the drawings:
fig. 1 is a flowchart of an implementation of a resolution adjustment method applied to a client according to an embodiment of the present invention;
FIG. 2 is a diagram of a cloud gaming system architecture provided by an embodiment of the present invention;
FIG. 3 is a workflow diagram of a first computing task provided by an embodiment of the present invention;
FIG. 4 is a workflow diagram of a second computing task provided by an embodiment of the present invention.
Detailed Description
The following describes the detailed implementation of the embodiments of the present invention with reference to the drawings. It should be understood that the detailed description and specific examples, while indicating and illustrating the invention, are not intended to limit the invention.
Example 1
Fig. 1 is a flowchart of an implementation of a resolution adjustment method applied to a client according to an embodiment of the present invention; the process of performing the resolution adjustment method by the client is specifically described with reference to fig. 1, and the method includes:
s101, starting a client application, and sending equipment performance data of the client to a remote server;
the client and the server are two roles in computer network communication, the client sends a request to the server for data or service, and the server receives the request and processes the request and returns corresponding data or service. The interaction of a client and a server is the basis for application layer communication in a computer network.
It should be noted that, the client may be windows software installed on the PC, or android software or IOS software installed on the mobile terminal device.
Wherein, the device performance data of the client comprises: device SOC parameters, memory parameters, and operating system parameters; the device SOC parameter includes a chip model.
Specifically, SOC is a short for System-on-a-Chip, and SOC parameters refer to performance indexes of a Chip System integrated with a plurality of functional modules. In modern electronics, more and more functional modules are integrated into one chip, called SOC chip, in order to achieve higher integration and smaller volume. The SOC parameters include various index parameters such as a chip model, processing power, power consumption, a communication interface, a storage capacity, and the like.
The device performance data of the client may be determined based on the hardware device intrinsic parameters deployed. Data transfer between the client and the remote server may be accomplished using a network transmission protocol such as UDP, HTTP, HTTPS or TCP. Taking HTTP protocol as an example, the device performance data of the client may be wrapped in a request body of the HTTP request and transmitted to the receiver.
S102, receiving a resolution level from the remote server in response to the device performance data, and setting the resolution of the client according to the resolution level;
s103, transmitting the operation parameters of the client to a remote server;
wherein, the operation parameters of the client include: server frame number, server resolution, client frame number, and client resolution, the operating parameters further include super resolution of the client.
Further, the number of server frames in the operation parameters is the number of cloud game server side frames generated within 1 second, and the number of client frames is the number of cloud game client side frames generated within 1 second. The super resolution is to increase the resolution of the original image by a hardware or software method, and the super resolution reconstruction is the process of obtaining a high resolution image by a series of low resolution images.
The client performs picture rendering at the latest resolution set.
After receiving the first frame of picture sent by the remote server, the client application sends the device performance data and the operation parameters in a fixed time interval to the remote server according to a preset sampling frequency.
Specifically, the device performance data and the operation parameters can be collected and reported in a buried point mode. The embedded point is a data acquisition method, and can collect and record the operation data of the client. Buried points are mainly classified into three categories, code buried points, visual buried points, and no buried points. Wherein, code embedding refers to adding embedded point codes in development codes; the visual buried points refer to: clicking specific point positions on a visual interface to perform buried point configuration; the no buried point refers to: and (3) integrating the SDK by using the application, and automatically monitoring all behaviors of the user by the SDK.
And S104, receiving the resolution level responding to the equipment performance data and the operation parameters from the remote server, and adjusting the set resolution according to the resolution level.
Further, the client takes effect immediately after adjusting the resolution, and starts to render the picture with the latest resolution set, so that the resolution is automatically adjusted in real time.
Example two
Fig. 2 is a schematic diagram of a cloud game system according to an embodiment of the present invention, and a specific description is given of a system according to an embodiment of the present invention and an interaction procedure between a client and a remote server with reference to fig. 2. As shown in fig. 2, the system includes: cloud game service end, cloud game client end, log collection service and big data analysis platform.
In the running mode of the cloud game, the cloud game server is deployed on a plurality of remote servers, all game logics and scene rendering are realized on the cloud game server, the cloud game server renders game scenes into video and audio streams, the video and audio streams are transmitted to the cloud game client through a network, the cloud game client plays the acquired video and audio streams, and the acquired input instructions of players are sent to the cloud game client.
Further, the cloud game client is integrated with a client SDK, wherein the client SDK is a general function or service module, and can be conveniently embedded into different application programs to be used as a plug-in.
For example, a client SDK integrated by a cloud game client is preconfigured with a buried point collection rule for reporting device performance data and operating parameters of the cloud game client to a log collection service.
When a user uses a cloud game client to log in a cloud game for the first time, the user initiates a game starting request, a client SDK communicates with a cloud game server, and the client SDK initiates a game session request to the cloud game server, wherein the game session request carries equipment performance data of the client.
Wherein the device performance data comprises: device SOC parameters, memory parameters, and operating system parameters; wherein the device SOC parameter comprises a chip model.
After receiving a game session request sent by a cloud game client, the cloud game server first searches a resolution level corresponding to the device performance data from a preset resolution level tag library according to the device performance data carried in the game session request, and then sends the corresponding resolution level to the cloud game client. Finally, the cloud game server records the sub-resolution level adjustment record and stores the equipment performance data corresponding to the cloud game client.
The resolution level label library can be a dictionary structure, the keys and the values of the dictionary are in one-to-one correspondence, and the resolution level corresponding to the keyword can be confirmed according to the keyword.
Specifically, the chip type may be used as a keyword, or a keyword obtained by combining the chip type, the memory size and the operating system type may be used as a search keyword.
For example, mobile phones with different models have different system-on-chip SOCs, and resolution levels corresponding to the mobile phones with different models can be directly searched in a resolution level tag library according to the model of the mobile phone. And for the case that the system-level chip SOC of the mobile phone is the same and the memory or the operating system are different, three characteristic parameters of the chip type, the memory size and the operating system type can be combined to be used as search keywords, and the corresponding resolution level can be searched and determined in the resolution level tag library.
It should be noted that the resolution level tag library may be determined by a large-scale game performance test experiment.
Specifically, a resolution level tag library can be established through a large number of game performance tests, resolution level tags of a cloud game can be formed based on different system-on-chip SOCs, and the resolution level tag library taking a chip model as a keyword is established. The resolution level tag library taking the chip type, the memory and the operating system as keywords can be built by further subdividing the memory and the operating system on the basis of the chip type.
And after receiving the resolution level responding to the equipment performance data from the cloud game server, the cloud game client sets the local resolution according to the resolution level, and the cloud game client performs game picture rendering with the set resolution.
After the cloud game client starts to run a game, after the client SDK receives a first frame picture sent by the cloud game server, starting embedded point reporting, wherein the data reported by the embedded point comprise equipment performance data and running parameters of the client. The client SDK transmits the collected device performance data of the client and the operation parameters to the log collection service every 1 second.
Wherein the operating parameters include: server frame number, server resolution, client frame number, and client resolution. The number of server frames in the operation parameters is the number of cloud game server side frames generated within 1 second, and the number of client frames is the number of cloud game client side frames generated within 1 second.
It should be noted that, the report frequency of the embedded point and the rule of the embedded point may be adjusted and set correspondingly according to the actual running performance of the cloud game at the client.
After receiving the embedded point data sent by the cloud game client SDK, the log collection service firstly formats the embedded point data, then writes the formatted embedded point data into a log file stored on a local disk, files and stores the embedded point data, and finally forwards the performance data and the operation parameters of the client contained in the received embedded point data to a first message queue.
Further, the client performance data and the operating parameters may be forwarded to the first message queue using a FileBeat. Filecoat is a very lightweight log collection tool for forwarding and aggregating log data.
The big data analysis platform is used for realizing the real-time adjustment capability of the resolution level of the cloud game client application, and is provided with a first calculation task and a second calculation task for realizing the analysis processing of the messages in the queue in the first message. It should be noted that, the first computing task and the second computing task may both operate independently and do not affect each other. The first computing task can be realized by a plurality of parallel subtasks when actually running, and the subtasks can be executed on different threads, so that the execution efficiency of the task is improved, and similarly, the second computing task can be realized by a plurality of parallel subtasks when actually running.
Fig. 3 is a workflow diagram of a first computing task according to an embodiment of the present invention, and the workflow of the first computing task is specifically described with reference to fig. 3. Specifically, the workflow of the first computing task includes the following processing steps:
s301, consuming the messages in the first message queue, and executing steps S302 to S303 on any message:
s302, analyzing the data contained in the message, and extracting the operation parameters of the client contained in the message; determining an average frame number difference value and an average resolution difference value according to the operation parameters of the client;
s303, assembling the average frame number difference value and the average resolution difference value into a preset message structure, and pushing the message structure to a second message queue.
Wherein, the average frame number difference value is an average difference value between the frame number of the server and the frame number of the client in a preset time interval; the average resolution difference is an average difference between the resolution of the server and the resolution of the client in a preset time interval.
The preset time interval is preferably 60 seconds.
FIG. 4 is a workflow diagram of a second computing task according to an embodiment of the present invention, and the workflow of the second computing task is specifically described with reference to FIG. 4;
specifically, the second computing task includes the following processing steps:
s401, consuming the messages in the second message queue, and executing steps S402-S405 on any message;
s402, analyzing the data contained in the message, and extracting an average frame number difference value and an average resolution difference value contained in the message;
s403, adjusting the resolution level according to the average frame number difference value and the average resolution difference value;
and when the average frame number difference value and the average resolution difference value are within a preset error range, the resolution grade is improved.
And when the average frame number difference value and the average resolution difference value are out of a preset error range, reducing the resolution level.
The higher the resolution level, the higher the corresponding resolution.
And correspondingly adjusting the resolution level by combining the resolution level adjustment record, and determining the latest resolution level.
For example, when the server frame number is 30 frames, the preset error value corresponding to the average frame number difference is preferably 3 frames; when the resolution of the server is 300 ten thousand pixels, the error range corresponding to the average resolution difference is preferably 30 ten thousand pixels. It should be noted that, the average frame number difference and the error range corresponding to the average resolution difference may be adjusted and set correspondingly according to the hardware conditions of the server and the client.
S404, saving a resolution level adjustment record;
and S405, sending the finally determined resolution level to the cloud game service end.
The first message queue and the second message queue are preferably Kafka, and the first computing task and the second computing task are preferably Apache link computing tasks.
And the cloud game server forwards the resolution level decided by the big data analysis platform to the cloud game client, and the cloud game client adjusts the local resolution in real time according to the received resolution level and renders the picture with the latest resolution.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, etc., such as Read Only Memory (ROM) or flash RAM. Memory is an example of a computer-readable medium.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. which are within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (11)
1. A method for adjusting resolution of a client application, the method being applied to a client, the method comprising:
starting a client application, and sending the equipment performance data of the client to a remote server;
receiving a resolution level from the remote server in response to the device performance data, setting a resolution of the client according to the resolution level;
transmitting the operation parameters of the client to a remote server; and
a resolution level responsive to the device performance data and operating parameters is received from the remote server and the set resolution is adjusted based on the resolution level.
2. The method of claim 1, wherein the step of determining the position of the substrate comprises,
the device performance data includes: device SOC parameters, memory parameters, and operating system parameters; wherein the equipment SOC parameter comprises a chip model;
the operating parameters include: server frame number, server resolution, client frame number, and client resolution.
3. The method of claim 1, wherein the client application transmits the device performance data, and/or the operating parameters, to a remote server by a buried point manner.
4. The method of claim 1, wherein the client application, after receiving the first frame of picture sent by the remote server, sends the device performance data and the operation parameters within a fixed time interval to the remote server at a preset sampling frequency.
5. A method for adjusting resolution of a client application, the method being applied to a server, the method comprising:
the remote server receives the device performance data of the client sent by the client application, determines a resolution level according to a preset resolution level tag library and the device performance data, and sends the resolution level to the client application;
the remote server receives the operation parameters of the client sent by the client application, adjusts the resolution level according to the adjustment record of the resolution level stored by the remote server and the combination of the equipment performance data and the operation parameters, and sends the adjusted resolution level to the client application.
6. The method of claim 5, wherein the device performance data comprises: device SOC parameters, memory parameters, and operating system parameters; wherein the equipment SOC parameter comprises a chip model;
the operating parameters include: server frame number, server resolution, client frame number, and client resolution.
7. The method of claim 5, wherein the remote server determines an average frame number difference and an average resolution difference based on the operating parameters sent by the client application;
the average frame number difference value is an average difference value between the frame number of the server and the frame number of the client in a preset time interval; the average resolution difference value is the average difference value between the resolution of the server and the resolution of the client in a preset time interval;
when the average frame number difference value and the average resolution difference value are within a preset error range, the resolution grade is improved;
and when the average frame number difference value and the average resolution difference value are out of a preset error range, reducing the resolution level.
8. The method of claim 5, wherein the remote server maintains a corresponding adjustment record when adjusting the resolution level.
9. A client comprising a memory and a processor configured to perform the method of claims 1-4.
10. A server comprising a memory and a processor configured to perform the method of claims 5-8.
11. A system comprising a client according to claims 1-4 and a server according to claims 5-8.
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