CN114356566A - Game data streaming media method based on correlation - Google Patents
Game data streaming media method based on correlation Download PDFInfo
- Publication number
- CN114356566A CN114356566A CN202111645800.5A CN202111645800A CN114356566A CN 114356566 A CN114356566 A CN 114356566A CN 202111645800 A CN202111645800 A CN 202111645800A CN 114356566 A CN114356566 A CN 114356566A
- Authority
- CN
- China
- Prior art keywords
- game
- sub
- resource
- scene
- current
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Images
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/44—Arrangements for executing specific programs
- G06F9/445—Program loading or initiating
- G06F9/44568—Immediately runnable code
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F8/00—Arrangements for software engineering
- G06F8/60—Software deployment
- G06F8/65—Updates
Abstract
The invention relates to a game data streaming media method based on correlation, which establishes a set of game logic and game file incidence relation scanning subsystem, namely a plug-in of a Unity game engine, for scanning and recording the incidence of a plurality of layers in a game and establishing an incidence relation model required by streaming media. The invention does not invade the game development process, and can complete the game streaming media modeling only by scanning the correlation of the game data before the game is released. The game service is provided in a streaming media manner. And each game engine is common to each game platform. The invention overcomes the defects of the prior art, greatly reduces the capacity limit in game development and greatly reduces the development difficulty of games.
Description
Technical Field
The invention relates to the technical field of game data, in particular to a game data streaming media method based on correlation.
Background
With the rapid development of computer technology, the development of image processing technology and the explosive increase of the capacity of games, the capacity of some large games is often over 200GB, and the capacity of some mobile phone games is over 10 GB. More importantly, with the advent of open world games and the meta universe, the game capacity will grow faster and faster. Therefore, under the conditions of the conventional distribution technology (off-line optical disc, hard disc, flash memory, and other storage media, on-line download installation), the distribution, installation, and storage of these large-capacity games become problems, and it is urgent to reduce the acquisition cost and acquisition time of the user.
Therefore, if access to game data (mostly random access mode, also sequential access mode) can be serialized, data access can be serviced in a streaming-like manner, perfectly addressing game distribution and access.
Disclosure of Invention
The technical problem to be solved by the invention is to overcome the defects of the prior art and provide a game data streaming media method based on correlation, thereby greatly reducing the capacity limitation in game development and greatly reducing the development difficulty of games.
In order to solve the technical problems, the technical scheme provided by the invention is as follows: a game data stream media method based on relativity establishes a set of game logic and game file incidence relation scanning subsystem, namely a plug-in of a Unity game engine, for scanning and recording the multi-level relativity in the game and establishing an incidence relation model required by stream media, wherein the flow of incidence scanning is as follows:
1) scanning the dependency relationship among all scenes of the game, recording the dependency relationship, and accepting manual modification;
2) scanning the incidence relation between the scene and the resource files in the scene, if the number of the resource files quoted in the scene is less than 10 or the total length of the resource files is less than 1MB, stopping scanning, recording all the resources in the scene as a cluster, and simultaneously recording the incidence of the resources and the scene;
3) scanning the dependency relationship among all parts in the scene, and partitioning the map in the scene according to a quadtree mode: the method comprises the steps of dividing a scene into 5-by-5 sub map blocks, recording coordinate ranges in a world coordinate system of the sub map blocks, and scanning the sub map blocks in sequence.
Further, to support streaming, the smallest resource file cluster is limited to 1 MB.
Further, in the step 3), if the number of the resource files quoted in the sub map block is less than 10 or the total length of the resource files is less than 1MB, stopping scanning, recording the coordinate range of the sub map block, recording all the resources in the sub map block as a cluster, and recording the association between the resources and the sub map block; otherwise, dividing the sub-map block into 2 × 2 sub-map blocks, and sequentially scanning and splitting the sub-map blocks until all the sub-map blocks reference less than 10 resource files or the total length of the resource files is less than 1 MB.
Further, the game data stream service terminal system is responsible for processing the resource prediction and downloading request of the user terminal: mapping the resource file to a structure of a final packaging or file system, and recording a corresponding relation; processing a resource prediction request of a user side, transmitting screen resolution into the user side, accessing a resource file list recently, inputting sequence information by the user, and transmitting information of a current scene, world coordinates and a camera view angle into the user side for a game accessed with the SDK in operation; processing a user downloading request: the user requested file or portion of the file is returned using a compressed format.
Further, a current scene is calculated, and the server resource prediction process includes:
1) if the user side request has no scene information, calculating the current possible scene according to the recently used resource file list in the request and the corresponding relation between the scene and the resource file;
2) if the number of the resource files quoted by the scene is less than 10 or the total length of the resource files is less than 1MB, directly starting to calculate the use probability score of the resource files; otherwise, calculating the current sub map block;
3) calculating a current sub map block;
4) calculating resource files possibly needed by the next stage;
5) scoring according to the probability that the resource is used next: calculating the score of the resource file according to the number of times of the resource file being quoted, the distance between the current coordinate and the included angle between the current coordinate and the camera visual angle and the scoring information of other files in the cluster;
6) and returning the predicted resource file and the score to the user side.
Further, when the current sub map block is calculated, if the request sent by the user side does not contain the current world coordinates of the game, the current possible sub map block is calculated according to the most recently used resource file list in the request, in combination with the incidence relation between the file output by the incidence relation scanning subsystem and the sub map block and the current scene; and if the request sent by the user side contains the current world coordinates, calculating the current sub-map block by combining the incidence relation between the file output by the incidence relation scanning subsystem and the sub-map block.
Further, when calculating the resource files possibly needed in the next stage, predicting the resource file candidate set: calculating a user visual field range according to the screen resolution of a user side and the unit pixel setting in the game, and then finding out a sub map block list in the range of 4 times of the visual field size by taking the current sub map block as a center; if camera view angle information exists, finding out all sub map blocks which are 4 times of the view field height from the current coordinate along the camera view angle, and adding the sub map blocks into the sub map block list; and then finding out the resource files corresponding to the sub map blocks.
Further, the incidence relation model generated by the incidence relation scanning subsystem is packaged into a game program or distributed to the client during game running, the client SDK predicts the next used resources according to the current context of the game, including scene, world coordinates and camera view angle information, and then requests the corresponding resources from the server.
The invention has the following advantages: the invention designs and realizes a set of game logic and game file association relation scanning subsystem (specifically, a plug-in of a Unity game engine) under the support of operation, which is used for scanning and recording the association of a plurality of layers in the game and establishing an association relation model required by streaming media.
The invention does not invade the game development process, and can complete the game streaming media modeling only by scanning the correlation of the game data before the game is released. The game service is provided in a streaming media manner. And each game engine is common to each game platform.
The modeling process is based on static scanning, and methods such as machine learning and the like are not used, so that user data does not need to be collected, a model training process does not exist, and the cold start can be directly realized.
The problem of the distribution of games, especially large-capacity games, is solved, and users can play on demand without downloading and installation under the support of running.
Compared with the existing cloud game scheme, the method does not need server-side rendering, and greatly reduces the traffic cost.
The requirement of games (programs) on the storage capacity of a user side (a mobile phone or a computer) is greatly reduced, the previous 128G mobile phone can only store 10+ large games (programs), and users can theoretically have infinite games under the technical support of the invention.
The present invention greatly reduces the capacity limitations in game development and is transparent to both the user and the developer. The game developer can access game resources with any capacity by using a mode of accessing a local file, and open games such as a meta-space game are naturally supported. The development difficulty of the game is also greatly reduced (the logic of downloading and loading the resources, which has to be added into the game logic by the game developer in order to dynamically load the resources, is not needed any more, and all the resources are 'local files')
The present invention also supports streaming of interactive video (AR/VR, etc.).
According to the cloud storage and local computing method and system, access interfaces of the cloud data and the local data are fused, the technical threshold of a cloud storage and local computing mode which can be realized by only professional programmers in the past is greatly reduced, and the cloud storage is really played more conveniently.
The incidence relation model can also be stored in the client, and the client is responsible for predicting the next needed resources according to the context of the game in operation, so that the network delay and the calculation cost of the server can be further reduced.
Drawings
FIG. 1 is a schematic view of the correlation scan process of the present invention.
FIG. 2 is a schematic diagram of a server resource prediction process according to the present invention.
Fig. 3 is a schematic diagram of a data access flow during runtime of a user terminal according to the present invention.
Detailed Description
The present invention will be described in further detail with reference to examples.
The concept is as follows:
the game data refers to program codes, textures, models, audio, video and other data used in game operation distributed by a game manufacturer, and is usually distributed in an installation package or ISO (international organization for standardization) and is in a directory and file or ISO (international organization for standardization) packaging format during game operation.
Game files: the game data is in the form of a file in a non-packed state, such as a single texture file, audio file.
Scene: the units of a game scenario, such as a level of a level game, may be a scene. There is no obvious scene division for open world class games, but it can be divided into several logical scenes according to the location of the map.
Resource: refers to texture, model, audio, video, code, etc. data used in the game.
In the process of developing games by companies, it is found that although the game capacity is large, the access of the games to data is mostly random access, but the data used in the running of the games has locality and relevance.
Locality is that at any time, the game will use only a small portion of the data, and the data will typically exhibit some aggregation.
The relevance is that data and game scenes are correlated with each other due to the certainty of game logic.
When the system is specifically implemented, a set of game logic and game file association relation scanning subsystem (specifically, a plug-in of a Unity game engine) is designed and realized under the support of running, is used for scanning and recording the association of a plurality of layers in the game, and establishes an association relation model required by streaming media. To support streaming, the smallest resource file cluster would be limited to 1 MB. The process is as follows:
1) and scanning the dependency relationship among the scenes of the game, and recording the dependency relationship, wherein the dependency relationship can be modified manually.
2) And scanning the incidence relation between the scene and the resource files in the scene, if the number of the resource files quoted in the scene is less than 10 or the total length of the resource files is less than 1MB, stopping scanning, recording all the resources in the scene as a cluster, and simultaneously recording the incidence of the resources and the scene.
3) Scanning the dependency relationship among all parts in a scene, partitioning a map in the scene in a quadtree manner, specifically, firstly, dividing the scene into 5 × 5 sub map blocks, recording the coordinate range in the world coordinate system of each sub map block, and then scanning all the sub map blocks in sequence:
if the number of the resource files quoted in the sub map block is less than 10 or the total length of the resource files is less than 1MB, the scanning is stopped, the coordinate range of the sub map block is recorded, all the resources in the sub map block are recorded as a cluster, and meanwhile, the association between the resources and the sub map block is recorded.
Otherwise, dividing the sub-map block into 2 × 2 sub-map blocks, and sequentially scanning and splitting the sub-map blocks until all the sub-map blocks reference less than 10 resource files or the total length of the resource files is less than 1 MB.
And the game data stream service terminal system is responsible for processing the resource prediction and downloading request of the user terminal. The functions are as follows:
and mapping the resource file to a final packaging (or file system) structure, and recording the corresponding relation.
The resource prediction request of the user side is processed, the user side can transmit information such as screen resolution, a recently accessed resource file list, a user input sequence and the like, and for the game accessed to the SDK during the operation of the invention, the user side can also transmit information such as a current scene, world coordinates, a camera view angle and the like.
1) Calculating the current scene: and if the user side request does not have scene information, calculating the current possible scene by combining the scene and the corresponding relation of the resource files according to the recently used resource file list in the request.
2) And if the resource files referenced by the scene are less than 10 or the total length of the resource files is less than 1M, directly starting to calculate the usage probability scores of the resource files. Otherwise, the current sub map block is calculated.
3) Calculating the current sub-map block:
if the request sent by the user side does not contain the current world coordinates of the game, the current possible sub-map blocks are calculated according to the most recently used resource file list in the request, the association relationship between the files output by the association relationship scanning subsystem and the sub-map blocks and the current scene.
And if the request sent by the user side contains the current world coordinates, calculating the current sub-map block by combining the incidence relation between the file output by the incidence relation scanning subsystem and the sub-map block.
4) Calculating the resource files possibly needed by the next stage:
predicting a candidate set of resource files: and calculating the visual field range of the user according to the screen resolution of the user side and the unit pixel setting in the game, and finding out the sub map block list in the range of 4 times of the visual field size by taking the current sub map block as the center. If camera view angle information exists, all sub map blocks with 4 times of view field height from the current coordinate are found along the camera view angle and added into the sub map block list. And then finding out the resource files corresponding to the sub map blocks.
5) Scoring according to the probability that the resource is used next: and calculating the score of the resource file according to the times of the resource file being quoted, the distance between the resource file and the current coordinate, the included angle between the camera view angle and the score of other files in the cluster.
6) And returning the predicted resource file and the score to the user side.
Processing a user downloading request: the user requested file or portion of the file is returned using a compressed format.
The invention establishes a set of running subsystems at the user end, takes over the file access request of game running and maps the file access request into the local file system or the local server access, thereby meeting the data access requirement and being transparent to the user and the game developer. Thus, the game can be played on demand without download installation. The main functions are as follows:
and for each data request, directly returning the data when the local file system hits, otherwise, communicating with the server side to request the currently required data.
And the background prediction thread periodically communicates with the server, uploads information of local equipment, a recently used file list, a user input sequence and the like, and requests for predicting a resource file list and scoring. If the game SDK is used in the game, the information of the current scene, world coordinates, camera view angle and the like is acquired and added into the prediction request.
And locally maintaining the download queue, updating the download queue when the server returns the predicted resource file list and the scoring information, reducing the weight of the original file, and adding the new file list and the scoring information into the queue.
And the background downloading thread takes out the files needing to be downloaded from the downloading queue, and requests the server side for downloading, decompressing and writing the files into the local file system if the local file system does not exist.
In order to realize more accurate resource prediction, the invention designs a set of game SDK, in particular to a Unity game plug-in. If the game developer introduces the SDK in the development process, the user side runtime subsystem can acquire information such as a current scene, world coordinates, a camera view angle and the like through the SDK during the game runtime.
The incidence relation model generated by the incidence relation scanning subsystem can also be packaged into a game program or distributed to the client when the game runs, the client SDK predicts the resources used next according to the current context (such as scene, world coordinate, camera view angle and other information) of the game, and then requests the corresponding resources from the server.
The invention starts from game logic, and constructs multi-level clustering and dependency relations by analyzing the incidence relations among game scenes, resources, executable codes, scenes, resources and codes, thereby converting the access of games to data into a streaming media mode. Based on this, we have realized an incidence relation scanning plug-in the Unity game engine, scan out the dependency between scene and resource, and the clustering relation between the resource, and constructed a streaming media system of the game data, solved the distribution problem of the large-capacity game: the game is played on demand without waiting for downloading.
Although the invention has been described in detail hereinabove with respect to a general description and specific embodiments thereof, it will be apparent to those skilled in the art that modifications or improvements may be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.
Claims (8)
1. A game data stream media method based on correlation is characterized in that a set of game logic and game file correlation scanning subsystem, namely a plug-in of a Unity game engine, is established for scanning and recording the correlation of a plurality of layers in a game and establishing a correlation model required by stream media, wherein the correlation scanning process comprises the following steps:
1) scanning the dependency relationship among all scenes of the game, recording the dependency relationship, and accepting manual modification;
2) scanning the incidence relation between the scene and the resource files in the scene, if the number of the resource files quoted in the scene is less than 10 or the total length of the resource files is less than 1MB, stopping scanning, recording all the resources in the scene as a cluster, and simultaneously recording the incidence of the resources and the scene;
3) scanning the dependency relationship among all parts in the scene, and partitioning the map in the scene according to a quadtree mode: the method comprises the steps of dividing a scene into 5-by-5 sub map blocks, recording coordinate ranges in a world coordinate system of the sub map blocks, and scanning the sub map blocks in sequence.
2. A method of streaming game data based on relevance according to claim 1, wherein: to support streaming, the smallest resource file cluster is limited to 1 MB.
3. A method of streaming game data based on relevance according to claim 1, wherein: in the step 3), if the number of the resource files quoted in the sub map block is less than 10 or the total length of the resource files is less than 1MB, stopping scanning, recording the coordinate range of the sub map block, recording all the resources in the sub map block as a cluster, and recording the association between the resources and the sub map block; otherwise, dividing the sub-map block into 2 × 2 sub-map blocks, and sequentially scanning and splitting the sub-map blocks until all the sub-map blocks reference less than 10 resource files or the total length of the resource files is less than 1 MB.
4. A method of streaming game data based on relevance according to claim 1, wherein: the game data stream service terminal system is responsible for processing user side resource prediction and downloading requests: mapping the resource file to a structure of a final packaging or file system, and recording a corresponding relation; processing a resource prediction request of a user side, transmitting screen resolution into the user side, accessing a resource file list recently, inputting sequence information by the user, and transmitting information of a current scene, world coordinates and a camera view angle into the user side for a game accessed with the SDK in operation; processing a user downloading request: the user requested file or portion of the file is returned using a compressed format.
5. The correlation-based game data streaming media method as claimed in claim 4, wherein the current scene is calculated, and the server resource prediction process comprises:
1) if the user side request has no scene information, calculating the current possible scene according to the recently used resource file list in the request and the corresponding relation between the scene and the resource file;
2) if the number of the resource files quoted by the scene is less than 10 or the total length of the resource files is less than 1MB, directly starting to calculate the use probability score of the resource files; otherwise, calculating the current sub map block;
3) calculating a current sub map block;
4) calculating resource files possibly needed by the next stage;
5) scoring according to the probability that the resource is used next: calculating the score of the resource file according to the number of times of the resource file being quoted, the distance between the current coordinate and the included angle between the current coordinate and the camera visual angle and the scoring information of other files in the cluster;
6) and returning the predicted resource file and the score to the user side.
6. The method as claimed in claim 5, wherein when calculating the current sub-map block, if the request sent by the client does not contain the current world coordinates of the game, the method calculates the current possible sub-map block according to the most recently used resource file list in the request, in combination with the association relationship between the file output by the association scanning subsystem and the sub-map block, and the current scene; and if the request sent by the user side contains the current world coordinates, calculating the current sub-map block by combining the incidence relation between the file output by the incidence relation scanning subsystem and the sub-map block.
7. The method of claim 5, wherein the resource file candidate set is predicted when calculating the resource file that may be needed in the next stage: calculating a user visual field range according to the screen resolution of a user side and the unit pixel setting in the game, and then finding out a sub map block list in the range of 4 times of the visual field size by taking the current sub map block as a center; if camera view angle information exists, finding out all sub map blocks which are 4 times of the view field height from the current coordinate along the camera view angle, and adding the sub map blocks into the sub map block list; and then finding out the resource files corresponding to the sub map blocks.
8. A method of streaming game data based on relevance according to claim 1, wherein: and the incidence relation model generated by the incidence relation scanning subsystem is packaged into a game program or is distributed to the client when the game runs, the client SDK predicts the resources used next according to the current context of the game, including scene, world coordinates and camera view angle information, and then requests the corresponding resources from the server.
Priority Applications (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111645800.5A CN114356566B (en) | 2021-12-30 | 2021-12-30 | Game data streaming media method based on correlation |
| PCT/CN2022/143652 WO2023125875A1 (en) | 2021-12-30 | 2022-12-29 | Correlation-based streaming method for game data |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202111645800.5A CN114356566B (en) | 2021-12-30 | 2021-12-30 | Game data streaming media method based on correlation |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN114356566A true CN114356566A (en) | 2022-04-15 |
| CN114356566B CN114356566B (en) | 2022-11-25 |
Family
ID=81102591
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202111645800.5A Active CN114356566B (en) | 2021-12-30 | 2021-12-30 | Game data streaming media method based on correlation |
Country Status (2)
| Country | Link |
|---|---|
| CN (1) | CN114356566B (en) |
| WO (1) | WO2023125875A1 (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023125875A1 (en) * | 2021-12-30 | 2023-07-06 | Lei Xu | Correlation-based streaming method for game data |
Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120021835A1 (en) * | 2005-02-11 | 2012-01-26 | Iprd Labs Llc | Systems and methods for server based video gaming |
| CN103997544A (en) * | 2014-06-12 | 2014-08-20 | 网易（杭州）网络有限公司 | Resource downloading method and device |
| CN104991775A (en) * | 2015-07-03 | 2015-10-21 | 北京奇虎科技有限公司 | Game acceleration method and apparatus |
| US20160121218A1 (en) * | 2014-11-03 | 2016-05-05 | International Business Machines Corporation | Techniques for creating dynamic game activities for games |
| CN105597318A (en) * | 2015-12-25 | 2016-05-25 | 珠海金山网络游戏科技有限公司 | Method, system and device for automatically generating random game scenes |
| CN107198884A (en) * | 2017-05-26 | 2017-09-26 | 合肥充盈信息科技有限公司 | A kind of method that scene of game is efficiently loaded into |
| CN111064712A (en) * | 2019-11-29 | 2020-04-24 | 珠海金山网络游戏科技有限公司 | Game resource packaging method and system |
| US20200306632A1 (en) * | 2019-03-27 | 2020-10-01 | Electronic Arts, Inc. | Predictive execution of distributed game engines |
| CN111729305A (en) * | 2020-06-23 | 2020-10-02 | 网易（杭州）网络有限公司 | Map scene preloading method, model training method, device and storage medium |
| CN111897596A (en) * | 2020-07-21 | 2020-11-06 | 珠海剑心互动娱乐有限公司 | Unity game resource loading optimization method and system |
| CN111957051A (en) * | 2020-09-01 | 2020-11-20 | 网易（杭州）网络有限公司 | Resource storage method and device |
| CN112473144A (en) * | 2020-11-19 | 2021-03-12 | 完美世界(重庆)互动科技有限公司 | Game resource data processing method and device |
Family Cites Families (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20130137518A1 (en) * | 2011-11-29 | 2013-05-30 | Keith V. Lucas | System for Pre-Caching Game Content Based on Game Selection Probability |
| CN114356566B (en) * | 2021-12-30 | 2022-11-25 | 许磊 | Game data streaming media method based on correlation |
-
2021
- 2021-12-30 CN CN202111645800.5A patent/CN114356566B/en active Active
-
2022
- 2022-12-29 WO PCT/CN2022/143652 patent/WO2023125875A1/en unknown
Patent Citations (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20120021835A1 (en) * | 2005-02-11 | 2012-01-26 | Iprd Labs Llc | Systems and methods for server based video gaming |
| CN103997544A (en) * | 2014-06-12 | 2014-08-20 | 网易（杭州）网络有限公司 | Resource downloading method and device |
| US20160121218A1 (en) * | 2014-11-03 | 2016-05-05 | International Business Machines Corporation | Techniques for creating dynamic game activities for games |
| CN104991775A (en) * | 2015-07-03 | 2015-10-21 | 北京奇虎科技有限公司 | Game acceleration method and apparatus |
| CN105597318A (en) * | 2015-12-25 | 2016-05-25 | 珠海金山网络游戏科技有限公司 | Method, system and device for automatically generating random game scenes |
| CN107198884A (en) * | 2017-05-26 | 2017-09-26 | 合肥充盈信息科技有限公司 | A kind of method that scene of game is efficiently loaded into |
| US20200306632A1 (en) * | 2019-03-27 | 2020-10-01 | Electronic Arts, Inc. | Predictive execution of distributed game engines |
| CN111064712A (en) * | 2019-11-29 | 2020-04-24 | 珠海金山网络游戏科技有限公司 | Game resource packaging method and system |
| CN111729305A (en) * | 2020-06-23 | 2020-10-02 | 网易（杭州）网络有限公司 | Map scene preloading method, model training method, device and storage medium |
| CN111897596A (en) * | 2020-07-21 | 2020-11-06 | 珠海剑心互动娱乐有限公司 | Unity game resource loading optimization method and system |
| CN111957051A (en) * | 2020-09-01 | 2020-11-20 | 网易（杭州）网络有限公司 | Resource storage method and device |
| CN112473144A (en) * | 2020-11-19 | 2021-03-12 | 完美世界(重庆)互动科技有限公司 | Game resource data processing method and device |
Non-Patent Citations (3)
| Title |
|---|
| MOSTAFAGHOBAEI-ARANI 等: "An autonomous resource provisioning framework for massively multiplayer online games in cloud environment", 《JOURNAL OF NETWORK AND COMPUTER APPLICATIONS》 * |
| 张毅: "面向用户体验的文件分发系统调度机制优化研究", 《中国博士学位论文全文数据库 信息科技辑》 * |
| 顾灵达 等: "基于游戏行为预测感觉寻求——机器学习的应用", 《第二十二届全国心理学学术会议摘要集 》 * |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2023125875A1 (en) * | 2021-12-30 | 2023-07-06 | Lei Xu | Correlation-based streaming method for game data |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2023125875A1 (en) | 2023-07-06 |
| CN114356566B (en) | 2022-11-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN102171647B (en) | File input/output scheduler using immediate data chunking | |
| US8504736B2 (en) | File input/output scheduler | |
| WO2020107920A1 (en) | Method and device for obtaining merged map, storage medium, processor, and terminal | |
| US7707337B2 (en) | Object-based storage device with low process load and control method thereof | |
| US20070184904A1 (en) | Method for processing the data distributed at online game server and a system thereof | |
| CN107197359B (en) | Video file caching method and device | |
| CN113730902A (en) | Download-free operation method for game | |
| CN102904878A (en) | Method and system for download of data package | |
| CN114356566B (en) | Game data streaming media method based on correlation | |
| CN107610047A (en) | Fragmental image processing method, apparatus and computer-readable recording medium | |
| WO2023226314A1 (en) | Application cache-scalable processing method and apparatus, device and medium | |
| KR102441902B1 (en) | Method and apparatus for generating 3D visualization data | |
| US11813520B2 (en) | Tracking file system read operations for instant play of video games, and for client-side discarding and prefetching of game data | |
| CN117130792B (en) | Processing method, device, equipment and storage medium for cache object | |
| CN108777802B (en) | Method and device for caching VR (virtual reality) video | |
| CN113688139A (en) | Object storage method, gateway, device and medium | |
| CN111008934B (en) | Scene construction method, device, equipment and storage medium | |
| US6508712B1 (en) | Recording medium having sequentially accessible data recording regions, data access method, game progress control method, and game machine | |
| CN115270032A (en) | WebGL-based dynamic high-definition character display method and system | |
| CN111790151A (en) | Method and device for loading object in scene, storage medium and electronic equipment | |
| CN111800742B (en) | Management method and device of mobile position data, storage medium and terminal | |
| CN113448897B (en) | Optimization method suitable for pure user mode far-end direct memory access | |
| CN1638843A (en) | Game device, program, information storage medium, game device control method, game distribution method, and game distribution device | |
| CN110908958B (en) | File processing method, device, terminal and storage medium | |
| WO2021121188A1 (en) | Configuration file processing method, apparatus and system, and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |