CN108965471B - Method for improving browser memory on smart television - Google Patents
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L67/00—Network arrangements or protocols for supporting network services or applications
- H04L67/01—Protocols
- H04L67/02—Protocols based on web technology, e.g. hypertext transfer protocol [HTTP]
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/08—Configuration management of networks or network elements
- H04L41/0803—Configuration setting
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N21/00—Selective content distribution, e.g. interactive television or video on demand [VOD]
- H04N21/40—Client devices specifically adapted for the reception of or interaction with content, e.g. set-top-box [STB]; Operations thereof
- H04N21/43—Processing of content or additional data, e.g. demultiplexing additional data from a digital video stream; Elementary client operations, e.g. monitoring of home network or synchronising decoder's clock; Client middleware
- H04N21/433—Content storage operation, e.g. storage operation in response to a pause request, caching operations
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Abstract
The invention discloses a method for improving a browser memory on an intelligent television, which comprises the steps that after a browser is started through a remote controller key, the browser reads default browser starting configuration, if the browser is configured to be in a low memory mode, the browser enters the low memory mode to operate, if the browser is configured to be in a normal mode, the size of the residual memory of a current system is further obtained according to a browser memory detection module, whether the size of the memory meets the browser operation requirement or not is judged, if the size of the memory does not meet the browser operation requirement, the browser starting configuration parameters are invalid, the low memory mode of a general memory strategy is set, each module of the browser obtains the low memory mode through a memory strategy interface, the browser starts the browser memory modification optimization process and attribute configuration when the browser is operated, and when a user exits through the remote controller key, all resources. The method of the invention can reduce the technical effect of temporary use of the system resources of the television browser under the condition of not influencing the user experience of the television browser of the television platform.
Description
Technical Field
The invention relates to the technical field of browser technology memory optimization, in particular to a method for improving a browser memory on an intelligent television.
Background
Currently, HTML5 technology is rapidly developed, particularly in the field of televisions, a specific fast iteration and update of various services are required, and support capability of operation and maintenance is enhanced, so apps developed based on native often cannot meet the requirement of fast iteration and update, more and more scenes are gradually developed and converted into applications based on HTML5, a large number of applications based on HTML5 are derived from various devices, and applications based on HTML5 usually need browsers to carry and display, so that a browser developed based on a migration scheme maintained by google at present is largely used and experienced no matter whether in android and linux, and can support mainstream HTML5 syntax, but the scheme based on migration has a problem, occupies a larger memory, although the performance of current hardware is rapidly improved, and the memory does not have a problem for a moment at a mobile phone end, but the performance of hardware provided by a common television platform is slightly insufficient, at present, the application APP based on the television platform is abundant, the memory is particularly tight, the cost is limited, and the size of the memory of the current high-end equipment is usually limited.
On the existing television platform, if a large amount of HTML5 applications are run and the memory is not enough, the loaded cache page can be actively released to release the memory, but the same page resource is reloaded when being loaded again, which brings experience problems, and in addition, the problem of the temporary use of the browser memory can be solved by increasing the size of the hardware memory.
The method reduces the memory exchanged by sacrificing the user experience, or increases the television cost by increasing the television memory, and is very important for improving the user experience and optimizing the cost of television products.
Disclosure of Invention
The invention aims to overcome the defects in the background art, and provides a method for improving the memory of a browser on a smart television, which can improve the memory of the browser of the smart television aiming at the browser of a television platform and effectively solve the problem of overlarge temporary memory of the browser on the television platform on the premise of not sacrificing user experience.
In order to achieve the technical effects, the invention adopts the following technical scheme:
a method for improving a browser memory on an intelligent television comprises the following steps:
A. after the browser is started, reading the default browser starting configuration, and if the starting configuration is in a low memory mode, entering a step D; if the configuration is started to be the normal mode, entering the step B;
B. obtaining the size of the residual memory of the current system, and entering the step C if the residual memory of the current system is larger than the maximum running memory of the browser, namely the running requirement of the browser is met; if the size of the memory does not meet the operation requirement of the browser, starting configuration parameters of the browser are invalid, and directly entering the step D;
C. setting a normal mode of a general memory strategy, and acquiring the normal mode by each module of the browser through a memory strategy interface, namely, the browser runs in a default flow and attribute configuration;
D. setting a low memory mode of a general memory strategy, and acquiring the low memory mode by each module of the browser through a memory strategy interface, namely configuring and operating the browser by a flow and attribute optimized by browser memory modification;
E. the browser exits;
the invention relates to a method for improving the memory of a browser on an intelligent television, which is mainly characterized in that after the browser is started through a remote controller key, the browser reads default browser starting configuration, if the browser is configured in the low memory mode, the browser enters the low memory mode to operate, if the browser is configured in the normal mode, the browser further acquires the size of the residual memory of the current system and whether the size of the memory meets the operation requirement of the browser, if not, the browser starts configuration parameters to be invalid, a low memory mode of a general memory strategy is set, all modules of the browser acquire the low memory mode through a memory strategy interface, the browser starts the flow and attribute configuration of browser memory modification optimization during running, and when the user quits through pressing the key of the remote controller, releasing all resources of the browser, thereby achieving the purpose of solving the problem that the temporary memory of the browser on the television platform is overlarge.
Further, the process of modifying and optimizing the browser memory in step D specifically includes the following steps:
s1, accelerating and rasterizing transformation of GPU hardware;
s2, downloading the resource file through the network, and rendering the downloaded webpage after DOM analysis;
s3, configuring a functional module;
and S4, improving the configuration of other browsers.
Further, the step S1 specifically includes the following steps:
s1.1, in a low memory mode, closing rasterization of a GPU and directly using a CPU for rasterization processing;
s1.2, in a low memory mode, reducing the number of rasterization tasks, such as reducing the number of rasterization tasks from parallel to 6.
Further, the step S2 specifically includes the following steps:
s2.1, in a low memory mode, reducing the memory allocation default memory size of the picture, if the memory allocation default of the picture is set to be not more than 8M;
s2.2, reducing the memory size of the current visible page, and limiting the memory size of the current visible page to be within 48M;
s2.3, when the user scrolls or zooms the webpage, the displayed content is preferentially displayed through low resolution, and after the actual page is rendered, the actual page is updated to be the actual resolution page;
s2.4 in the rasterization process of the browser, reducing pixels of a rasterization expansion area in a low memory mode, for example, changing the pixels of the rasterization expansion area into 100 pixels;
s2.5, in a low memory mode, reducing the default size of pre-rendering, such as modifying the pixel into 500 pixels;
s2.6 reducing the memory size of the picture hard decoding, such as modifying the memory allocation limit of the picture hard decoding to 96M.
Further, the step S3 specifically includes the following steps:
s3.1, removing redundant functional modules;
s3.2, the number of the sandbox processes is reduced, for example, the number of the sandbox processes is limited to 3.
Furthermore, the redundant functional modules at least comprise a Bluetooth module, a battery detection and processing module, a gravity sensing module and a remote printing module.
Further, the step S4 at least includes reducing the font cache memory size, such as modifying the font cache limit to 1M.
Compared with the prior art, the invention has the following beneficial effects:
the method for improving the browser memory on the smart television can improve the browser memory of the smart television aiming at the browser of the television platform, effectively solve the problem of overlarge temporary memory of the browser on the television platform on the premise of not sacrificing the user experience, and finally reduce the temporary use of the system resources of the television browser under the condition of not influencing the user experience of the television browser of the television platform.
Drawings
Fig. 1 is a schematic flow chart of a method for improving a browser memory on a smart television according to the present invention.
Detailed Description
The invention will be further elucidated and described with reference to the embodiments of the invention described hereinafter.
Example (b):
in order to optimize the memory of the browser, first, the current memory information of the system needs to be acquired, compared with the maximum memory occupation value of the browser, and a memory policy needs to be set, and meanwhile, an interface of a general memory policy needs to be provided for the browser kernel for acquiring different modules of the browser kernel and acquiring different memory policies when optimizing the memory code of the browser. In this embodiment, a memory processing module is specifically configured to obtain current memory information of the system, compare the current memory information with a maximum memory occupancy value of the browser, and set a memory policy.
It should be noted that, generally, a browser has different User agents (User agents), hereinafter referred to as UAs, mainly UAs of PCs, pads, and handsets, and in view of a television operation scenario, a default of a television platform is used for a pad, and when different UAs are used to send to a server, the server sends a page corresponding to the UA
Based on the UA request of the PC, the complexity of the page issued by the server is more complex compared with the page of the pad version of the same website and the page of the PC version, and based on the principle, the invention performs more detailed improvement on the scene of the browser running based on the low memory mode.
As shown in fig. 1, the method of the present invention is mainly that after a browser is started by a remote controller key, the browser reads a default browser start configuration, if the configuration is a low memory mode, the browser enters a low memory mode to operate, if a normal mode is configured, the size of the remaining memory of the current system is further obtained according to a browser memory detection module, whether the memory size meets the browser operation requirements, if not, the browser start configuration parameters are invalid, a low memory mode of a general memory policy is set, each module of the browser obtains the low memory mode through a memory policy interface, the browser starts a browser memory modification optimization process and attribute configuration when the browser is operated, and when a user exits through a remote controller key, all resources of the browser are released.
For explaining the details of the implementation, the android platform is used here to further explain the implementation steps:
based on browser page operation in a television scene, by sampling 20 mainstream website tests, the maximum memory value in the browser television scene is about 400M, in this embodiment, for the sake of insurance, the maximum value is set to be 500M, and then the method specifically includes the following steps:
A. after the browser is started, reading default browser starting configuration, storing the configuration in a browser application default configuration file, when the television leaves a factory, according to the condition of a movement, performing default configuration, and if the starting configuration is a low memory mode, entering a step D; if the mode is the normal mode, entering the step B;
B. the browser memory detection module acquires the size of the residual memory of the current system;
if the residual memory of the current system is larger than the memory 500M of the maximum operation of the browser, namely the operation requirement of the browser is met, entering the step C;
if the size of the memory does not meet the operation requirement of the browser, starting configuration parameters of the browser are invalid, and directly entering the step D;
C. setting a normal mode of a general memory strategy, wherein each module of the browser acquires the normal mode, a default flow and attribute configuration of the browser through a memory strategy interface;
D. setting a low memory mode of a general memory strategy, wherein each module of the browser acquires the low memory mode through a memory strategy interface, and the browser memory transformation optimization flow and attribute configuration are carried out by the browser;
E. the browser exits.
Specifically, the following technical solutions are specifically adopted in this embodiment to implement the process and attribute configuration for browser memory modification optimization:
s1, GPU hardware acceleration and rasterization transformation:
s1.1, in a low memory mode, closing rasterization of a GPU, and directly using a cpu for rasterization processing;
the current browser strategy is to go through hardware acceleration in a rendering pipeline, and more consideration is given to the improvement of the hardware performance of a mobile phone platform, but the performance of a GPU on a television platform is often not excellent and is usually only 4 cores, so that the processing is forced to be not obviously improved through GPU hardware acceleration performance, and more memories are temporarily used, therefore, more memories are consumed through GPU rasterization, but no visual experience difference exists in user operation in a television scene, so that in a low-memory mode, the rasterization of the GPU is closed, and the cpu is directly used for rasterization processing;
s1.2, reducing the number of rasterization tasks from 32 to 6 in parallel;
since the main stream of a television cpu is only 4 cores, the number of rasterization tasks in the low-memory mode is reduced from 32 to 6 in parallel, so that the memory of thread creation overhead is reduced:
size_t scheduled_raster_task_limit＝6。
s2, downloading the resource file through the network, and rendering the downloaded webpage after performing DOM analysis on the webpage:
the browser is used for rendering the webpage based on downloading the resource file through the network, and then rendering the downloaded webpage after performing DOM analysis on the downloaded webpage;
after the browser is started, the browser enters initialization work of each module, initialization configuration in the process of rendering a pipeline of the browser is involved in initialization, and as the chrome browser is cross-platform, common default configuration is more specific to more parameter configuration and more user operations based on the mobile platform are configured, so that a lot of initialization processes and configurations meet the requirements of the mobile platform, but the memory of the browser is increased temporarily, and based on the parameters, in the initialization process, the process parameters and the configuration are optimized through a memory strategy interface.
S2.1, under the low memory mode, the default 64M limit of the memory allocation of the picture is 8M,
const size_t kMaxHighQualityImageSizeBytes＝8*1024*1024；
generally, the complexity of a page issued by a UA of a pad used in a scene based on a television platform is not high, and 8M is enough in correspondence to the scene;
s2.2, limiting the memory size of the current visible page to 48M;
for a system with the memory of 1G, the default configuration of the browser is about 128M, but after a large number of actual tests, the memory size of the current visible page is limited to 48M, and page display is not affected;
actual.bytes_limit_when_visible＝48M；
s2.3, preferentially displaying the displayed content through low resolution, and updating the content into an actual resolution page after the actual page rendering is finished;
when a user scrolls or zooms a webpage, in order to display webpage content as soon as possible, the browser preferentially displays the displayed content through low resolution, and after the actual page is rendered, the displayed content is updated to be an actual resolution page;
but the actual user experience is not clearly different from the ambiguity of 0.25f and the ambiguity of 0.1f, even if the difference is still more fuzzy, the experience is not affected, so that the fuzzy coefficient of 0.25f is modified to be 0.1f in a low memory mode, and if a common page consumes 10M of fuzzy pages during rolling, 4M can be saved after adjustment;
flow low _ res _ contents _ scale _ factor is 0.25 f; modified to 0.1 f;
s2.4, changing 3000 pixels of a rasterization expansion area into 100 in a low memory mode;
in the rasterization process of the browser, the undisplayed area of the expansion part is rasterized in advance, 3000 pixels of the rasterized expansion area are changed into 100 in the low memory mode, and the operation in the actual television scene has no obvious difference, but the memory can be saved.
int tiling_interest_area_padding＝100；
S2.5, the default pre-rendering size can be reduced in a low memory mode, and default 2000 pixels are modified into 500 pixels;
the Skwport description in the browser is the area which can be seen next along the sliding direction of the user, the default pre-rendering size can be reduced in a low memory mode, the memory consumption is further reduced, 2000 pixels are modified into 500, the complexity of the page based on a television scene is simple, and no obvious experience difference exists when the page is dragged downwards through actual test observation;
int skewport_extrapolation_limit_in_screen_pixels＝2000；
s2.6, modifying the memory allocation limit of the picture hard decoding from 256M to 96M;
in view of simple page complexity in a television scene, actual experience is basically unchanged through actual website testing, but temporary use of a memory is reduced;
settings.gpu_decoded_image_budget_bytes＝96*1024*1024；
s3, configuration of the functional modules:
s3.1, removing redundant functional modules, wherein the browser has rich HTML5 functions for multiple television platforms, but has redundant functional modules for the television platforms, and the browser mainly comprises the following modules: the system comprises a Bluetooth module, a battery detection and processing module, a gravity sensing module and a remote printing module;
the modules also have corresponding logic flows in the browser, temporarily use a certain memory, and close the initialization of the corresponding modules and use scenes in specific scenes when the corresponding modules are loaded in the memory mode;
s3.2, limiting the number of the sandbox processes to be 3;
the browser usually creates a new process when a TAB label is opened, the new TAB corresponds to a new sandbox process, the new process opening means more memory overhead, the number of the sandbox processes is limited to 3 at first, and the user experience is not influenced while the television scene is basically met.
S4, improving the configuration of other browsers:
mainly comprises that font cache limit is 1M from 8M;
SkGraphics::SetFontCacheLimit(1*kMB)。
through the flow steps, the technical effect of reducing the temporary use of the system resources of the television browser can be achieved under the condition that the user experience of the television browser of the television platform is not influenced.
It will be understood that the above embodiments are merely exemplary embodiments taken to illustrate the principles of the present invention, which is not limited thereto. It will be apparent to those skilled in the art that various modifications and improvements can be made without departing from the spirit and substance of the invention, and these modifications and improvements are also considered to be within the scope of the invention.
Claims (5)
1. A method for improving a browser memory on an intelligent television is characterized by comprising the following steps:
A. after the browser is started, reading the default browser starting configuration, and if the starting configuration is in a low memory mode, entering a step D; if the configuration is started to be the normal mode, entering the step B;
B. obtaining the size of the residual memory of the current system, and entering the step C if the residual memory of the current system is larger than the maximum running memory of the browser, namely the running requirement of the browser is met; if the size of the memory does not meet the operation requirement of the browser, starting configuration parameters of the browser are invalid, and directly entering the step D;
C. setting a normal mode of a general memory strategy, and acquiring the normal mode by each module of the browser through a memory strategy interface, namely, the browser runs in a default flow and attribute configuration;
D. setting a low memory mode of a general memory strategy, and acquiring the low memory mode by each module of the browser through a memory strategy interface, namely configuring and operating the browser by a flow and attribute optimized by browser memory modification; the process of modifying and optimizing the browser memory in the step D specifically includes the following steps:
s1, accelerating and rasterizing transformation of GPU hardware;
s2, downloading the resource file through the network, and rendering the downloaded webpage after DOM analysis; the step S2 specifically includes the following steps:
s2.1, reducing the memory allocation of the default set picture in a low memory mode;
s2.2, limiting the memory size of the current visible page;
s2.3, when the user scrolls or zooms the webpage, the displayed content is preferentially displayed through low resolution, and after the actual page is rendered, the actual page is updated to be the actual resolution page;
s2.4, in the rasterization process of the browser, under a low memory mode, reducing the size of pixels in a rasterization expansion area;
s2.5, reducing the default size of pre-rendering in a low memory mode;
s2.6, reducing the memory allocation of picture hard decoding;
s3, configuring a functional module;
s4, optimizing the memory transformation of the browser, and reducing the size of a font cache memory;
E. the browser exits.
2. The method for improving the browser memory on the smart television as claimed in claim 1, wherein the step S1 specifically includes the following steps:
s1.1, in a low memory mode, closing rasterization of a GPU and directly using a CPU for rasterization processing;
s1.2, under the low memory mode, the number of rasterization tasks is reduced in parallel.
3. The method as claimed in claim 2, wherein in step S1.2, the number of rasterization tasks is reduced to 6 in parallel.
4. The method for improving the browser memory on the smart television as claimed in claim 1, wherein the step S3 specifically includes the following steps:
s3.1, removing redundant functional modules;
s3.2 reduces the number of sandboxed processes.
5. The method as claimed in claim 4, wherein the redundant functional modules at least include a Bluetooth module, a battery detection and processing module, a gravity sensing module, and a remote printing module.
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| CN110516179A (en) * | 2019-08-07 | 2019-11-29 | Oppo广东移动通信有限公司 | Method for rendering graph, device, electronic equipment and storage medium |
| CN110659431B (en) * | 2019-09-20 | 2022-03-01 | 四川长虹电器股份有限公司 | Disk cache optimization method for Android television browser |
| CN110737532B (en) * | 2019-10-15 | 2022-04-12 | 四川长虹电器股份有限公司 | Memory optimization method for Android television browser |
| CN112817759B (en) * | 2021-01-26 | 2023-06-16 | 广州欢网科技有限责任公司 | TV video application memory occupation optimization method and device and television terminal |
| CN114003191A (en) * | 2021-10-29 | 2022-02-01 | 歌尔科技有限公司 | Screen display method, device and medium |
| CN114912058A (en) * | 2022-06-27 | 2022-08-16 | 中银金融科技有限公司 | Page rendering method and related equipment for bank customer full-time investigation system |
| CN115334347A (en) * | 2022-08-02 | 2022-11-11 | 北京智象信息技术有限公司 | Smart television player memory adaptation optimization method, device and medium |
Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868250A (en) * | 2015-12-16 | 2016-08-17 | 乐视移动智能信息技术（北京）有限公司 | Page label management method and device of browser |
Family Cites Families (10)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US9129441B2 (en) * | 2010-06-21 | 2015-09-08 | Microsoft Technology Licensing, Llc | Lookup tables for text rendering |
| CN104252422A (en) * | 2013-06-26 | 2014-12-31 | 华为技术有限公司 | Memory access method and memory controller |
| CN103699595A (en) * | 2013-12-11 | 2014-04-02 | 小米科技有限责任公司 | Method and device for webpage caching of terminal browser and terminal |
| CN103873897A (en) * | 2014-03-21 | 2014-06-18 | 珠海迈科电子科技有限公司 | Android smart television UI pagination display method |
| CN103984781A (en) * | 2014-06-11 | 2014-08-13 | 北京金山网络科技有限公司 | Webpage loading method and device |
| CN104298790A (en) * | 2014-11-11 | 2015-01-21 | 北京奇虎科技有限公司 | Browser accelerating method and browser device with accelerator |
| WO2016183795A1 (en) * | 2015-05-19 | 2016-11-24 | Guangzhou Ucweb Computer Technology Co., Ltd. | Method, apparatus for loading a resource in a web page on a device |
| CN106326137B (en) * | 2015-07-02 | 2020-09-22 | 腾讯科技（深圳）有限公司 | Memory optimization method and device and user equipment |
| US10140268B2 (en) * | 2015-08-27 | 2018-11-27 | Qualcomm Innovation Center, Inc. | Efficient browser composition for tiled-rendering graphics processing units |
| CN105279253B (en) * | 2015-10-13 | 2018-12-14 | 上海联彤网络通讯技术有限公司 | Promote the system and method for webpage painting canvas rendering speed |
-
2018
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Patent Citations (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105868250A (en) * | 2015-12-16 | 2016-08-17 | 乐视移动智能信息技术（北京）有限公司 | Page label management method and device of browser |
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