CN111552623A - Method and device for determining page memory consumption - Google Patents
Method and device for determining page memory consumption Download PDFInfo
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- CN111552623A CN111552623A CN202010365023.8A CN202010365023A CN111552623A CN 111552623 A CN111552623 A CN 111552623A CN 202010365023 A CN202010365023 A CN 202010365023A CN 111552623 A CN111552623 A CN 111552623A
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- 238000000034 method Methods 0.000 title claims abstract description 34
- 238000012163 sequencing technique Methods 0.000 claims abstract description 11
- 230000006399 behavior Effects 0.000 claims description 12
- 108010001267 Protein Subunits Proteins 0.000 claims description 3
- 238000012544 monitoring process Methods 0.000 claims description 3
- 238000004088 simulation Methods 0.000 claims description 3
- 238000010586 diagram Methods 0.000 description 4
- 238000012545 processing Methods 0.000 description 3
- 230000006870 function Effects 0.000 description 2
- 230000007246 mechanism Effects 0.000 description 2
- 230000008569 process Effects 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000004590 computer program Methods 0.000 description 1
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3452—Performance evaluation by statistical analysis
Abstract
The application provides a method and a device for determining page memory consumption. The method is applied to terminal equipment of an android operating system, and comprises the following steps: determining a plurality of target pages to be calculated in an application program; opening each target page, and calculating the times of repeatedly opening each target page before the application program crashes; sequencing the plurality of target pages according to the times of repeatedly opening each target page; and determining the target page with the minimum number of times of repeated opening as the page with the maximum memory consumption in the application program. By applying the method and the device, the memory consumption of the page level in the android application program can be determined.
Description
Technical Field
The present application relates to the field of internet technologies, and in particular, to a method and an apparatus for determining page memory consumption.
Background
In a terminal device of an Android operating system, how to calculate memory consumption of a page (Activity) is always a difficult problem. The provider Google (Google) company of the Android operating system does not design a computing mechanism for page-level memory consumption. Therefore, a solution for determining page memory consumption in an android operating system is needed.
Disclosure of Invention
In view of this, the present application provides a method and an apparatus for determining page memory consumption, and an electronic device. The method is used for solving the problem that the android operating system cannot determine the memory consumption of the page level.
Specifically, the method is realized through the following technical scheme:
in a first aspect, a method for determining page memory consumption is provided, and is applied to a terminal device of an android operating system, where the method includes:
determining a plurality of target pages to be calculated in an application program;
opening each target page, and calculating the times of repeatedly opening each target page before the application program crashes;
sequencing the target pages according to the number of times that each target page can be repeatedly opened so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
Optionally, the opening each target page and calculating the number of times that each target page can be repeatedly opened before the application crashes specifically includes performing the following processing on each target page:
initializing the counting value of the target page to be 0;
opening a target page, simulating the operation behavior of a user in the opened target page, and detecting whether an application program corresponding to the target page triggers the crash caused by memory overflow;
if not, the count is increased by one, and the previous step is executed again;
if so, outputting a count value, and determining the count value as the number of times the target page can be repeatedly opened.
Optionally, the simulating the operation behavior of the user includes: and simulating the user to slide up, down, left and right in the target page.
Optionally, the method further includes:
when it is monitored that the memory occupied by the application program exceeds a threshold value, acquiring the times of repeatedly opening corresponding to the opened page of the application program;
and determining the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
Optionally, the method further includes:
and closing the opened pages which consume the most memory in the application program in sequence until the memory occupied by the application program does not exceed a threshold value.
In a second aspect, an apparatus for determining page memory consumption is provided, and is applied to a terminal device of an android operating system, where the apparatus includes:
the determining unit is used for determining a plurality of target pages to be calculated in the application program;
the computing unit is used for opening each target page and computing the times that each target page can be repeatedly opened before the application program crashes;
the sequencing unit is used for sequencing the target pages according to the times of repeatable opening of each target page so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
Optionally, the computing unit includes:
an initialization subunit, which initializes the count value of the target page to 0;
the simulation operation subunit opens a target page, simulates the operation behavior of a user in the opened target page, and detects whether an application program corresponding to the target page triggers crash caused by memory overflow;
a circulation subunit, if not, the counting is increased by one, and the previous step is executed again;
and the output subunit outputs a count value if the page is the target page, and determines the count value as the number of times that the target page can be repeatedly opened.
Optionally, the simulating the operation behavior of the user includes: and simulating the user to slide up, down, left and right in the target page.
Optionally, the apparatus further comprises:
the monitoring subunit is used for acquiring the times of repeatable opening corresponding to the opened pages of the application program when the situation that the memory occupied by the application program exceeds a threshold value is monitored;
and the determining subunit determines the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
Optionally, the apparatus further comprises:
and closing the sub-units, and closing the opened pages which consume the most memory in the application program in sequence until the memory occupied by the application program does not exceed a threshold value.
In a third aspect, an electronic device is provided, including:
a processor;
a memory for storing processor-executable instructions;
the processor is configured to determine page memory consumption as described in any one of the above.
The embodiment of the application provides a scheme for determining page memory consumption, and aims to determine the page-level memory consumption condition in an android application program. Specifically, the times of repeatedly opening each target page in the application program before the application program crashes are calculated; the more times of repeated opening, the smaller the page memory consumption, the less times of repeated opening and the more page memory consumption; the memory consumption of each target page can be measured from the side.
Drawings
FIG. 1 is a flowchart illustrating a method for determining page memory consumption according to an exemplary embodiment of the present application;
FIG. 2 is a flow diagram illustrating a calculation of the number of times each target page may be repeatedly opened before the application crashes in accordance with an exemplary embodiment of the present application;
FIG. 3 is a hardware block diagram of an apparatus for determining page memory consumption according to an exemplary embodiment of the present application;
fig. 4 is a block diagram illustrating an apparatus for determining page memory consumption according to an exemplary embodiment of the present application.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The manner in which the following exemplary embodiments are described does not represent all manner of consistency with the present application. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present application, as detailed in the appended claims.
The terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used in this application and the appended claims, the singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise. It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.
It is to be understood that although the terms first, second, third, etc. may be used herein to describe various information, such information should not be limited to these terms. These terms are only used to distinguish one type of information from another. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present application. The word "if" as used herein may be interpreted as "at … …" or "when … …" or "in response to a determination", depending on the context.
As mentioned above, google provides an android operating system without a computational mechanism for page-level memory consumption. When the memory occupied by the application program is too high, the situation that which page or pages are opened cannot be located causes the excessive memory occupied by the application program. Furthermore, it is not possible to specifically close or optimize the pages with high memory consumption to mitigate the risk of application crash.
Therefore, the present application provides a flowchart of a method for determining page memory consumption shown in fig. 1 in an exemplary embodiment, where the method may be applied to a terminal device of an android operating system, and the method specifically includes the following steps:
step 110: determining a plurality of target pages to be calculated in the application program.
The target pages can be partial or all pages of the application program.
Step 120: and opening each target page, and calculating the times that each target page can be repeatedly opened before the application program crashes.
After determining a number of target pages to be computed, the following steps need to be performed for each target page based on the processing flow shown in fig. 2:
step A1: initializing the counting value of the target page to be 0;
step A2: opening a target page, simulating the operation behavior of a user in the opened target page, and detecting whether an application program corresponding to the target page triggers the crash caused by memory overflow;
step A3: if not, the count is incremented by one and the previous step A2 is re-executed;
step A4: if so, outputting a count value, and determining the count value as the number of times the target page can be repeatedly opened.
Wherein the simulating the operation behavior of the user comprises: and simulating the user to slide up, down, left and right in the target page.
Step 130: sequencing the target pages according to the number of times that each target page can be repeatedly opened so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
In the embodiment, the times that each target page in the application program can be repeatedly opened before the application program crashes are calculated; the more times of repeated opening, the smaller the page memory consumption, the less times of repeated opening and the more page memory consumption; therefore, the memory consumption of each target page can be measured from the side by the index of the number of times of repeated opening. In addition, the target pages are sorted according to the sequence of the times of the repeated opening of each target page. The sorting can be from large to small, or from small to large, and can be flexibly configured according to requirements. In a word, the target pages with high memory consumption can be sequentially positioned according to the sequencing result.
Further, when it is monitored that the memory occupied by the application program exceeds a threshold, the number of times of repeatedly opening corresponding to the opened page of the application program can be obtained.
And then, determining the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
And sequentially closing the opened pages with the most memory consumption in the application program (after the opened pages with the most memory consumption are closed at each time, the closed pages are not opened any more, so that the opened pages with the most memory consumption are automatically changed into the opened pages with the most memory consumption when the memory consumption is many) until the memory occupied by the application program does not exceed a threshold value.
Through the embodiment, when the memory occupied by the application program is too high, the terminal device can quickly locate the opened page (i.e. the opened page with the minimum repeated opening times) which causes the memory occupied by the application program to be too high. And closing the opened page which consumes the most memory in the application program so as to quickly relieve the risk of memory overflow and crash of the application program.
Corresponding to the embodiment of the method for determining page memory consumption, the application also provides an embodiment of a device for determining page memory consumption.
The embodiment of the device for determining page memory consumption can be applied to a server. The device embodiments may be implemented by software, or by hardware, or by a combination of hardware and software. The software implementation is taken as an example, and is formed by reading corresponding computer program instructions in the nonvolatile memory into the memory for operation through the processor in which the software implementation is located. From a hardware aspect, as shown in fig. 3, a hardware structure diagram of the device for determining page memory consumption according to the present application is shown, except for the processor, the memory, the network interface, and the nonvolatile memory shown in fig. 3, in an embodiment, other hardware may be included according to an actual function of determining page memory consumption, which is not described herein again.
Referring to fig. 4, in a software embodiment, the device for determining page memory consumption corresponds to the embodiment of fig. 1, and is applied to a terminal device of an android operating system, where the device for determining page memory consumption specifically includes:
the determining unit is used for determining a plurality of target pages to be calculated in the application program;
the computing unit is used for opening each target page and computing the times that each target page can be repeatedly opened before the application program crashes;
the sequencing unit is used for sequencing the target pages according to the times of repeatable opening of each target page so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
Optionally, the computing unit includes:
an initialization subunit, which initializes the count value of the target page to 0;
the simulation operation subunit opens a target page, simulates the operation behavior of a user in the opened target page, and detects whether an application program corresponding to the target page triggers crash caused by memory overflow;
a circulation subunit, if not, the counting is increased by one, and the previous step is executed again;
and the output subunit outputs a count value if the page is the target page, and determines the count value as the number of times that the target page can be repeatedly opened.
Optionally, the simulating the operation behavior of the user includes: and simulating the user to slide up, down, left and right in the target page.
Optionally, the apparatus further comprises:
the monitoring subunit is used for acquiring the times of repeatable opening corresponding to the opened pages of the application program when the situation that the memory occupied by the application program exceeds a threshold value is monitored;
and the determining subunit determines the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
Optionally, the apparatus further comprises:
and closing the sub-units, and closing the opened pages which consume the most memory in the application program in sequence until the memory occupied by the application program does not exceed a threshold value.
The implementation process of the functions and actions of each unit in the above device is specifically described in the implementation process of the corresponding step in the above method, and is not described herein again.
For the device embodiments, since they substantially correspond to the method embodiments, reference may be made to the partial description of the method embodiments for relevant points. The above-described embodiments of the apparatus are merely illustrative, and the units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the modules can be selected according to actual needs to achieve the purpose of the scheme of the application. One of ordinary skill in the art can understand and implement it without inventive effort.
Fig. 4 above describes the internal functional modules and the structural schematic of the apparatus for determining page memory consumption, and the substantial execution subject may be an electronic device, including:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured as any one of the preceding methods of determining memory consumption within a page.
In the above embodiments of the electronic device, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. The general-purpose processor may be a microprocessor, or the processor may be any conventional processor, and the aforementioned memory may be a read-only memory (ROM), a Random Access Memory (RAM), a flash memory, a hard disk, or a solid state disk. The steps of a method disclosed in connection with the embodiments of the present application may be directly implemented by a hardware processor, or may be implemented by a combination of hardware and software modules in a processor.
The embodiments in the present application are described in a progressive manner, and the same and similar parts among the embodiments can be referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the embodiment of the electronic device, since it is substantially similar to the embodiment of the method, the description is simple, and for the relevant points, reference may be made to part of the description of the embodiment of the method.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the scope of protection of the present application.
Claims (11)
1. A method for determining page memory consumption is applied to terminal equipment of an android operating system, and comprises the following steps:
determining a plurality of target pages to be calculated in an application program;
opening each target page, and calculating the times of repeatedly opening each target page before the application program crashes;
sequencing the target pages according to the number of times that each target page can be repeatedly opened so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
2. The method of claim 1, wherein the opening each target page and calculating the number of times each target page can be repeatedly opened before the application crashes comprises:
initializing the counting value of the target page to be 0;
opening a target page, simulating the operation behavior of a user in the opened target page, and detecting whether an application program corresponding to the target page triggers the crash caused by memory overflow;
if not, the count is increased by one, and the previous step is executed again;
if so, outputting a count value, and determining the count value as the number of times the target page can be repeatedly opened.
3. The method of claim 2, wherein simulating the operational behavior of the user comprises: and simulating the user to slide up, down, left and right in the target page.
4. The method of claim 1, further comprising:
when it is monitored that the memory occupied by the application program exceeds a threshold value, acquiring the times of repeatedly opening corresponding to the opened page of the application program;
and determining the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
5. The method of claim 4, further comprising:
and closing the opened pages which consume the most memory in the application program in sequence until the memory occupied by the application program does not exceed a threshold value.
6. The device for determining page memory consumption is applied to a terminal device of an android operating system, and comprises the following steps:
the determining unit is used for determining a plurality of target pages to be calculated in the application program;
the computing unit is used for opening each target page and computing the times that each target page can be repeatedly opened before the application program crashes;
the sequencing unit is used for sequencing the target pages according to the times of repeatable opening of each target page so as to determine the memory consumption of the target pages; the more times of repeatable opening, the less page memory consumption, the less times of repeatable opening, and the more page memory consumption.
7. The apparatus of claim 6, wherein the computing unit comprises:
an initialization subunit, which initializes the count value of the target page to 0;
the simulation operation subunit opens a target page, simulates the operation behavior of a user in the opened target page, and detects whether an application program corresponding to the target page triggers crash caused by memory overflow;
a circulation subunit, if not, the counting is increased by one, and the previous step is executed again;
and the output subunit outputs a count value if the page is the target page, and determines the count value as the number of times that the target page can be repeatedly opened.
8. The apparatus of claim 7, wherein the simulating the operational behavior of the user comprises: and simulating the user to slide up, down, left and right in the target page.
9. The apparatus of claim 6, further comprising:
the monitoring subunit is used for acquiring the times of repeatable opening corresponding to the opened pages of the application program when the situation that the memory occupied by the application program exceeds a threshold value is monitored;
and the determining subunit determines the opened page with the minimum number of times of repeated opening as the opened page with the maximum memory consumption in the application program.
10. The apparatus of claim 9, further comprising:
and closing the sub-units, and closing the opened pages which consume the most memory in the application program in sequence until the memory occupied by the application program does not exceed a threshold value.
11. An electronic device, comprising:
a processor;
a memory for storing processor-executable instructions;
the processor is configured as the method of any of the above claims 1-5.
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| CN202010365023.8A CN111552623B (en) | 2020-04-30 | 2020-04-30 | Method and device for determining page memory consumption |
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Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100315880A1 (en) * | 2009-06-12 | 2010-12-16 | Hynix Semiconductor Inc. | Method of operating nonvolatile memory device |
| CN105740122A (en) * | 2016-01-26 | 2016-07-06 | 广东欧珀移动通信有限公司 | Method and system for monitoring mobile phone memory leak |
| CN106681926A (en) * | 2017-01-05 | 2017-05-17 | 网易（杭州）网络有限公司 | Method and device for testing webpage performances |
| US20170242470A1 (en) * | 2016-02-18 | 2017-08-24 | Samsung Electronics Co., Ltd. | Energy saving method and apparatus of mobile terminal |
| CN109240912A (en) * | 2018-08-14 | 2019-01-18 | 平安普惠企业管理有限公司 | A kind of performance estimating method and terminal of the web application based on big data analysis |
| CN109542689A (en) * | 2018-11-30 | 2019-03-29 | 努比亚技术有限公司 | Applied program processing method, terminal and computer readable storage medium |
| CN109726069A (en) * | 2018-05-07 | 2019-05-07 | 平安普惠企业管理有限公司 | H5 page EMS memory occupation monitoring method, device, equipment and readable storage medium storing program for executing |
| CN110569182A (en) * | 2019-09-19 | 2019-12-13 | 北京博睿宏远数据科技股份有限公司 | collapse rate calculation method and device, computer equipment and storage medium |
| CN110851294A (en) * | 2019-10-10 | 2020-02-28 | 上海上湖信息技术有限公司 | Method and device for remedying program operation breakdown |
| CN110990258A (en) * | 2019-10-29 | 2020-04-10 | 贝壳技术有限公司 | Android system-based APP testing method and device, readable storage medium and processor |
| CN111026648A (en) * | 2019-11-21 | 2020-04-17 | 汉海信息技术(上海)有限公司 | Application program page testing method and device, electronic equipment and storage medium |
-
2020
- 2020-04-30 CN CN202010365023.8A patent/CN111552623B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20100315880A1 (en) * | 2009-06-12 | 2010-12-16 | Hynix Semiconductor Inc. | Method of operating nonvolatile memory device |
| CN105740122A (en) * | 2016-01-26 | 2016-07-06 | 广东欧珀移动通信有限公司 | Method and system for monitoring mobile phone memory leak |
| US20170242470A1 (en) * | 2016-02-18 | 2017-08-24 | Samsung Electronics Co., Ltd. | Energy saving method and apparatus of mobile terminal |
| CN106681926A (en) * | 2017-01-05 | 2017-05-17 | 网易（杭州）网络有限公司 | Method and device for testing webpage performances |
| CN109726069A (en) * | 2018-05-07 | 2019-05-07 | 平安普惠企业管理有限公司 | H5 page EMS memory occupation monitoring method, device, equipment and readable storage medium storing program for executing |
| CN109240912A (en) * | 2018-08-14 | 2019-01-18 | 平安普惠企业管理有限公司 | A kind of performance estimating method and terminal of the web application based on big data analysis |
| CN109542689A (en) * | 2018-11-30 | 2019-03-29 | 努比亚技术有限公司 | Applied program processing method, terminal and computer readable storage medium |
| CN110569182A (en) * | 2019-09-19 | 2019-12-13 | 北京博睿宏远数据科技股份有限公司 | collapse rate calculation method and device, computer equipment and storage medium |
| CN110851294A (en) * | 2019-10-10 | 2020-02-28 | 上海上湖信息技术有限公司 | Method and device for remedying program operation breakdown |
| CN110990258A (en) * | 2019-10-29 | 2020-04-10 | 贝壳技术有限公司 | Android system-based APP testing method and device, readable storage medium and processor |
| CN111026648A (en) * | 2019-11-21 | 2020-04-17 | 汉海信息技术(上海)有限公司 | Application program page testing method and device, electronic equipment and storage medium |
Non-Patent Citations (2)
| Title |
|---|
| MARTIN MAAS 等: "Learning-based Memory Allocation for C++ Server Workloads" * |
| 曾文韬: "Android APP自动化专项测试工具的设计与实现" * |
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