CN107450937B - Application program running method and running device - Google Patents

Application program running method and running device Download PDF

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Publication number
CN107450937B
CN107450937B CN201610374841.8A CN201610374841A CN107450937B CN 107450937 B CN107450937 B CN 107450937B CN 201610374841 A CN201610374841 A CN 201610374841A CN 107450937 B CN107450937 B CN 107450937B
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application program
environment
running
code
virtual
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CN107450937A (en
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贾鑫
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ZTE Corp
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ZTE Corp
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Priority to PCT/CN2016/091943 priority patent/WO2017206302A1/en
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/445Program loading or initiating
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F9/00Arrangements for program control, e.g. control units
    • G06F9/06Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
    • G06F9/44Arrangements for executing specific programs
    • G06F9/455Emulation; Interpretation; Software simulation, e.g. virtualisation or emulation of application or operating system execution engines
    • G06F9/45533Hypervisors; Virtual machine monitors
    • G06F9/45558Hypervisor-specific management and integration aspects
    • G06F2009/45575Starting, stopping, suspending or resuming virtual machine instances

Abstract

The invention discloses an application program running method and device. The operation method comprises the following steps: reading historical use data of an application program to be operated; matching the historical use data with a preset environment selection model to confirm and start a virtual running environment corresponding to the application program; and loading the running codes of the application program corresponding to the virtual running environment to a memory for execution. The method comprises the steps of reading historical use data of an application program to be operated, selecting a virtual operation environment which is suitable for the use requirement of the application program according to the historical use data, and loading a corresponding operation code to the memory to be executed under the selected virtual operation environment, so that the optimization balance of speed improvement or memory saving in the operation process of the application program is realized, and the operation selection of the application program is more reasonable.

Description

Application program running method and running device
Technical Field
The present invention relates to the field of software, and in particular, to an application program running method and running apparatus.
Background
With the continuous development of electronic technology, the use of mobile terminals is also more and more widespread. Currently, the operating systems of the mobile terminal mainly include Android and iOS, wherein the Android is based on Java language, and the iOS is based on Obejctive-C. The Java code actually needs two times of ' conversion ' to run with the program which can be seen by the user, wherein one time occurs before the developer releases the installation package and uses the CPU of the developer's own machine, and the other time uses the CPU of the mobile phone before the user starts the APP. The code based on Objective-C only needs one conversion before the installation package is released by the developer, so that only CPU time of the developer machine is occupied. The bottleneck of the starting speed of the Java application program is that the Java application program is interpreted and executed, and needs to be compiled again in the running process. This results in a need to speed up the Java application startup process. Therefore, how to increase the starting speed of the application program becomes one of the problems to be solved in the prior art.
The running of the application program is realized based on the virtual running environment, and the program running has different advantages and disadvantages in different virtual running environments. Taking Dalvik and ART (Android Runtime) as examples, on the former Android system, all applications were run in Dalvik. In Dalvik, a portion of the code needs to be machine recompiled each time the application runs. This process consumes time and system resources and is therefore inefficient to perform. In contrast to Dalvik, ART has a completely different processing mechanism, and when an application is installed, it will convert the program code into machine language, making the program a true native application. This has the advantage that the start-up time of the program is increased and the running speed is also faster. ART handles application execution In a manner that is quite different from Dalvik, which relies on a Just-In-time (jit) compiler to interpret bytecodes, and which is not efficient as the application code compiled by the developer needs to run on the user's device through an interpreter. ART changes this set Of approaches completely, pre-compiling the bytecode to machine language at application installation time, a mechanism called Ahead-Of-time (aot) compilation. After the process of removing the interpretation code, the application program execution will be more efficient and start faster.
But ART can have other negative effects.
The first drawback is the increased time required for application installation, especially the larger the amount of code, the longer it takes to pre-compile the bytecode into the machine language, which is a significant increase in time, especially for gaming-based applications, because of their own large code size.
A second disadvantage is that the installed files take up more space, with a nearly 20% increase. For example, a 100M game, with 50M code, increases the space required for a 20% increase in installation by 10M. The user experience is not good. This consumes more memory since ART requires the application program to translate program code into machine language at installation time.
Disclosure of Invention
In view of the above, an object of the present invention is to provide an application program running method and running apparatus, so as to solve the problem of excessive conflict between speed increase and memory saving of an application program in a running process.
The technical scheme adopted by the invention for solving the technical problems is as follows:
in one aspect, a method for running an application is adopted, including:
reading historical use data of an application program to be operated;
matching the historical use data with a preset environment selection model to confirm and start a virtual running environment corresponding to the application program;
and loading the running codes of the application program corresponding to the virtual running environment to a memory for execution.
Wherein the environment selection model is set based on at least one of a usage frequency threshold of the application program and a currently available memory.
After the loading the running code corresponding to the application program and the virtual running environment to the memory for execution, the method further includes:
updating a running record for recording historical usage data of the application.
Before reading the historical use data of the application program to be run, the method further comprises the following steps:
and installing corresponding to any one virtual running environment when the application program is installed.
The virtual operating environment comprises a Dalvik environment and an ART environment, and operating codes corresponding to the Dalvik environment and the ART environment are an application program code and a local machine code respectively;
after the loading the running code corresponding to the application program and the virtual running environment to the memory for execution, the method further includes:
and if the loaded running code is an application program code and the local machine code of the application program is recorded in the memory, deleting the local machine code.
In another aspect, an apparatus for running an application program includes:
the data reading unit is used for reading historical use data of the application program to be operated;
the environment matching unit is used for matching the historical use data with a preset environment selection model so as to confirm and start a virtual running environment corresponding to the application program;
and the code loading unit is used for loading the running codes of the application program and the virtual running environment to a memory for execution.
Wherein the environment selection model is set based on at least one of a usage frequency threshold of the application program and a currently available memory.
Wherein, still include:
and the data updating unit is used for updating the operation record used for recording the historical use data of the application program.
Wherein, still include:
and the program installation unit is used for installing corresponding to any one virtual running environment when the application program is installed.
The virtual operating environment comprises a Dalvik environment and an ART environment, and operating codes corresponding to the Dalvik environment and the ART environment are an application program code and a local machine code respectively;
the operation device further includes:
and the code deleting unit is used for deleting the local machine code if the loaded running code is an application program code and the local machine code of the application program is recorded in the memory.
According to the application program running method and the application program running device, the historical use data of the application program to be run are read, the virtual running environment which is suitable for the use requirement of the application program is selected according to the historical use data, the corresponding running code is loaded to the memory to be executed under the selected virtual running environment, the speed improvement or the optimization balance of memory saving in the running process of the application program is achieved, and the running selection of the application program is more reasonable.
Drawings
Fig. 1 is a flowchart of a method of a first embodiment of an application program running method according to an embodiment of the present invention.
Fig. 2 is a flowchart of a method of a second embodiment of an application program according to an embodiment of the present invention.
Fig. 3 is a block diagram illustrating a first embodiment of an apparatus for running an application according to an embodiment of the present invention.
Fig. 4 is a block diagram illustrating a second embodiment of an apparatus for running an application according to an embodiment of the present invention.
The implementation, functional features and advantages of the objects of the present invention will be further explained with reference to the accompanying drawings.
Detailed Description
In order to make the technical problems, technical solutions and advantageous effects to be solved by the present invention clearer and clearer, the present invention is further described in detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
Referring to fig. 1, it is a flowchart of a method of a first embodiment of an application running method according to an embodiment of the present invention, and as shown in the figure, the running method includes:
step S11: and reading historical use data of the application program to be run.
Each use of the application program generates corresponding use data, and the comprehensive statistics of the plurality of use data form historical use data and form a reference for the starting mode of the application program. The running process of the application program is recorded in a special database, namely a running record, and the running record records the name of each application program and the corresponding starting times of each application program. And obtaining the running frequency of each application program according to the starting times of each application program in the stored preset time, such as how many times a day and how many times a week, and further counting the average running time length in the period.
Step S12: and matching the historical use data with a preset environment selection model to confirm and start the virtual operating environment corresponding to the application program.
The environment selection model is based on at least one setting of a frequency of use threshold of the application, a current available memory. If the application program is used frequently, the application program is used with priority to obtain a faster running speed in which virtual running environment, because the use of high frequency has a relatively higher requirement in speed; if the use frequency of the application program is low, the application program is used by giving priority to which virtual running environment the application program has lower running memory requirement. Therefore, in the environment selection model set based on the use frequency threshold, if the virtual running environment comprises a Dalvik environment and an ART environment, the ART environment is selected when the use frequency of the application program is higher than the use frequency threshold set in the environment selection model; otherwise, a Dalvik environment is selected. For example, the preset usage frequency threshold is 10 times per week, after the operation frequency of each application program in one week is acquired, whether the operation frequency of each application program exceeds 10 times is judged, and if the judgment is yes, the application program is determined to be the operation method adopting ART. And if not, determining the application program to adopt the Dalvik running method. The listed values are only used for clear illustration to determine the way of the operation method, and the user can set the values according to the actual use requirement in the actual use process.
The specific operation mode can also be obtained by analyzing and calculating historical use data and the current available memory quantity. If the currently available memory is less than or slightly exceeds the memory requirement of the application program running in a virtual running environment, the application program cannot select to run in the virtual running environment. Similarly, for the Dalvik environment and the ART environment, when the amount of the available memory is large, it indicates that more available memories can be used for storing the local machine code to run in the ART environment, and that more applications can adopt the ART running method, so that the preset use frequency threshold can be set to a lower value, and more applications can adopt the ART running method; on the contrary, when the amount of the available memory is smaller, it indicates that the terminal does not have enough available memory for storing the local machine code, and represents that more applications need to adopt the Dalvik operation method, the preset frequency threshold may be set to a higher value, and more applications may adopt the Dalvik operation method.
Step S13: and loading the running codes of the application program corresponding to the virtual running environment to the memory for execution.
After confirming the virtual operating environment of the application program, acquiring identification information of the application program to be operated, wherein the identification information can comprise a program name and a software package name of the application program, and loading an operating code of the application program corresponding to the virtual operating environment into a memory through the identification information. In the case of an ART environment, native machine code for the application is loaded, and in the case of a Dalvik environment, application code for the application is loaded. The loading process of the local machine code and the application code is described in detail next.
When the local machine code needs to be loaded, the local machine code corresponding to the code segment of the application program is searched, whether the code segment of the application program has a local machine code result is confirmed, if yes, the application program can be executed on an ART virtual operation platform after being started, otherwise, when the local machine code corresponding to the code segment is not found, the code segment of the application program is confirmed to have no local machine code, a compiler module is informed, the local machine code is carried out on the code segment of the application program to form the local machine code, and meanwhile, the corresponding relation between the local machine code and the corresponding code segment is stored in a memory. The code of the application program to be executed currently is used as a key word, the local machine code corresponding to the application program in the storage area is searched, the content is a pointer which points to the local machine code obtained by compiling the code of the application program to be executed currently, and the local machine code corresponding to the code to be executed currently can be obtained according to the pointer.
If the application code needs to be loaded, after the application is created and started, the code file of the application is loaded to the memory through the Dalvik virtual machine in the application for execution, in this case, the class.
In summary, by reading the historical usage data of the application program to be run, selecting the virtual running environment adapted to the usage requirement of the application program according to the historical usage data, and loading the corresponding running code to the memory for execution in the selected virtual running environment, the optimized balance of speed increase or memory saving in the running process of the application program is realized, and the running selection of the application program is more reasonable.
Referring to fig. 2, it is a flowchart of a method of a second embodiment of an application program running method according to an embodiment of the present invention, as shown in the figure, the running method includes:
step S21: when the application program is installed, the application program is installed corresponding to any one virtual running environment.
A default mounting may be set or manually selected by the user. When the application program is installed, the statistics of historical use data are carried out. For example, if an application is frequently used, it may be considered to choose to install in an ART environment to directly generate the local machine code.
Step S22: and reading historical use data of the application program to be run.
The historical use data can count the use frequency, the use duration of the application program, the use duration is also used as a selection reference of the virtual operation environment, and the average use duration can be correspondingly recorded in the operation record.
Step S23: and matching the historical use data with a preset environment selection model to confirm and start the virtual operating environment corresponding to the application program.
In addition to the frequency of use and the size of available memory, the time duration of use can also be referred to, and if an application program is low in frequency of use but long in average time duration of use each time, a virtual running environment with a high running speed can also be selected.
Step S24: and loading the running codes of the application program corresponding to the virtual running environment to the memory for execution.
The virtual operation environment comprises a Dalvik environment and an ART environment, wherein operation codes corresponding to the Dalvik environment and the ART environment are application program codes and local machine codes respectively.
After the application program code or the local machine code is written into the memory, the application program code or the local machine code is executed, and the application program can be operated. The operation mechanisms of the application code and the local machine code are not described in detail herein.
Step S25: a running record for recording historical usage data of the application is updated.
After the running application program starts to run, new use data is generated, and at the moment, the running record used for recording the historical use data of the application program is updated, namely the use frequency, the use duration and the like corresponding to the application program are updated.
Step S26: and if the loaded running code is the application program code and the local machine code of the application program is recorded in the memory, deleting the local machine code.
The storage format of the code corresponding to the application program or the local machine code can be a table, and the storage position is a memory. As shown in table 1, the key of the table is the application identification number, and the content of the table is the storage location of the local machine code obtained by performing the local machine code on the code of the application. In the preceding steps, after the local machine code is generated, save information of the local machine code and the like are added to the local machine code record table shown in table 1.
Serial number Application identification number Local machine code
1 22 Location of local machine code storage
2 11 Location of local machine code storage
3 333 Location of local machine code storage
TABLE 1 local machine code save record table
When the application program meets the requirement of adopting the Dalvik method, the local machine code corresponding to the application program code is further searched, whether the code segment of the application program has the local machine code or not is confirmed, and if the code segment of the application program has the local machine code, the local machine code is deleted, so that the memory space is saved. And simultaneously deleting the corresponding record in the local machine code storage record table.
Overall, the application program with a high frequency of use is used N times after installation. In the original Dalvik method, N starts require N "switches". But according to the ART method, only one "transition" occurs regardless of the number of uses of the program. Thus, the method of selecting ART may reduce the frequency of use of the CPU, and thus the use of power.
For applications with low frequency of use, they were used 1 time after installation. According to the ART method, only one "transition" occurs. The method of selecting ART reduces the frequency of use of the CPU, but since the program is used a small number of times, the saving effect is not significant. Following Dalvik, 1 start requires 1 "switch". But the memory is saved, and the occupied space of the installed file is reduced by 20% compared with the ART method, so that more storage space is saved.
The operation method of the application program in the scheme can select different operation modes according to the actual use condition of the application program, obtain the balance between the use speed and the occupied memory and realize the optimized combination of respective advantages.
In summary, by reading the historical usage data of the application program to be run, selecting the virtual running environment adapted to the usage requirement of the application program according to the historical usage data, and loading the corresponding running code to the memory for execution in the selected virtual running environment, the optimized balance of speed increase or memory saving in the running process of the application program is realized, and the running selection of the application program is more reasonable. The operation mode of the application program is selected during installation, so that the operation of the application program is more efficient; and the operation of deleting the local machine code can further effectively save the memory space.
The following is an embodiment of an application running device provided in the detailed implementation of the present invention, where the embodiment of the application running device is implemented based on the foregoing embodiment of the running method, and please refer to the foregoing embodiment of the running method in the embodiment of the application running device.
Referring to fig. 3, it is a block diagram of a first embodiment of an application running device according to an embodiment of the present invention, and as shown in the drawing, the application running device includes:
a data reading unit 10 for reading historical usage data of an application program to be run;
the environment matching unit 20 is configured to match the historical usage data with a preset environment selection model, so as to confirm and start a virtual operating environment corresponding to the application program;
the code loading unit 30 is configured to load an execution code of the application program corresponding to the virtual execution environment into the memory for execution.
In summary, through the cooperative work of the above units, by reading the historical usage data of the application program to be run, selecting the virtual running environment adapted to the usage requirement of the application program according to the historical usage data, and loading the corresponding running code to the memory under the selected virtual running environment for execution, the optimized balance of speed improvement or memory saving in the running process of the application program is realized, and the running selection of the application program is more reasonable.
A data reading unit 10 for reading historical usage data of an application program to be run;
the environment matching unit 20 is configured to match the historical usage data with a preset environment selection model, so as to confirm and start a virtual operating environment corresponding to the application program;
the code loading unit 30 is configured to load an execution code of the application program corresponding to the virtual execution environment into the memory for execution.
Wherein the environment selection model is set based on at least one of a usage frequency threshold of the application program and a currently available memory.
Wherein, still include:
and a data updating unit 40 for updating the operation record for recording the historical usage data of the application program.
Wherein, still include:
and a program installation unit 00 for installing the application program corresponding to any one of the virtual execution environments.
The virtual operation environment comprises a Dalvik environment and an ART environment, and operation codes corresponding to the Dalvik environment and the ART environment are an application program code and a local machine code respectively;
the operation device further includes:
and a code deleting unit 50, configured to delete the local machine code if the loaded running code is an application program code and the local machine code of the application program is recorded in the memory.
In summary, through the cooperative work of the above units, by reading the historical usage data of the application program to be run, selecting the virtual running environment adapted to the usage requirement of the application program according to the historical usage data, and loading the corresponding running code to the memory under the selected virtual running environment for execution, the optimized balance of speed improvement or memory saving in the running process of the application program is realized, and the running selection of the application program is more reasonable. The operation mode of the application program is selected during installation, so that the operation of the application program is more efficient; and the operation of deleting the local machine code can further effectively save the memory space.
It should be noted that the device embodiment and the method embodiment belong to the same concept, and specific implementation processes thereof are described in the method embodiment in detail, and technical features in the method embodiment are correspondingly applicable in the device embodiment, which is not described herein again.
Through the above description of the embodiments, those skilled in the art will clearly understand that the method of the above embodiments can be implemented by software plus a necessary general hardware platform, and certainly can also be implemented by hardware, but in many cases, the former is a better embodiment. Based on such understanding, the technical solutions of the present invention may be embodied in the form of a software product, which is stored in a storage medium (such as ROM/RAM, magnetic disk, optical disk) and includes instructions for enabling a terminal device (such as a mobile phone, a computer, a server, an air conditioner, or a network device) to execute the method according to the embodiments of the present invention.
The preferred embodiments of the present invention have been described above with reference to the accompanying drawings, and are not to be construed as limiting the scope of the invention. Those skilled in the art can implement the invention in various modifications, such as features from one embodiment can be used in another embodiment to yield yet a further embodiment, without departing from the scope and spirit of the invention. Any modification, equivalent replacement and improvement made within the technical idea of using the present invention should be within the scope of the right of the present invention.

Claims (10)

1. An application program running method is characterized by comprising
Reading historical use data of an application program to be operated;
matching the historical use data with a preset environment selection model to confirm and start a virtual running environment corresponding to the application program;
and loading the running codes of the application program corresponding to the virtual running environment to a memory for execution.
2. The method of claim 1, wherein the environment selection model is based on at least one of a frequency of use threshold of the application, and a current available memory.
3. The operating method according to claim 1, wherein after the loading of the running code of the application program corresponding to the virtual running environment into the memory for execution, further comprising:
updating a running record for recording historical usage data of the application.
4. The method of claim 1, wherein the virtual execution environment comprises
A Dalvik environment and an ART environment;
before the reading of the historical use data of the application program to be run, the method further comprises the following steps:
installing corresponding to any one virtual running environment of the Dalvik environment and the ART environment when the application program is installed.
5. The operating method according to claim 4, wherein the corresponding operating codes of the Dalvik environment and the ART environment are application code and local machine code, respectively;
after the loading the running code corresponding to the application program and the virtual running environment to the memory for execution, the method further includes:
and if the loaded running code is an application program code and the local machine code of the application program is recorded in the memory, deleting the local machine code.
6. An apparatus for running an application program, comprising
The data reading unit is used for reading historical use data of the application program to be operated;
the environment matching unit is used for matching the historical use data with a preset environment selection model so as to confirm and start a virtual running environment corresponding to the application program;
and the code loading unit is used for loading the running codes of the application program and the virtual running environment to a memory for execution.
7. The operating apparatus of claim 6, wherein the environment selection model is based on at least one of a frequency of use threshold of the application, and a current available memory.
8. The operating device of claim 6, further comprising:
and the data updating unit is used for updating the operation record used for recording the historical use data of the application program.
9. The running device according to claim 6, further comprising the virtual running environment comprises a Dalvik environment and an ART environment;
and a program installation unit, configured to install the application program corresponding to any one of the Dalvik environment and the ART environment.
10. The running device according to claim 9, wherein the running codes corresponding to the Dalvik environment and the ART environment are application code and local machine code, respectively;
the operation device further includes:
and the code deleting unit is used for deleting the local machine code if the loaded running code is an application program code and the local machine code of the application program is recorded in the memory.
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Families Citing this family (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN111078318B (en) * 2019-12-18 2023-06-13 Oppo广东移动通信有限公司 Processing method, device and system of configuration file and storage medium
CN112953721B (en) * 2021-01-28 2023-04-14 浪潮通用软件有限公司 IPA file analysis method, IPA file analysis device, IPA file analysis equipment and storage medium

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101957770A (en) * 2010-10-09 2011-01-26 中兴通讯股份有限公司 Method and device for starting applications on mobile equipment
CN103514004A (en) * 2012-06-28 2014-01-15 联想(北京)有限公司 Method and device for managing system environment under Windows system
CN103677920A (en) * 2013-12-11 2014-03-26 清华大学 Critical application program identifying and starting accelerating method and system
US20140366027A1 (en) * 2010-12-15 2014-12-11 Red Hat Israel, Ltd. Early network notification in live migration
CN105490860A (en) * 2015-12-24 2016-04-13 北京奇虎科技有限公司 Method, device and system for deploying application program operation environment
CN105528229A (en) * 2015-12-16 2016-04-27 广东欧珀移动通信有限公司 Method and device for improving first starting speed of mobile terminal

Family Cites Families (3)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
DE112011105082T5 (en) * 2011-04-21 2014-06-26 Hewlett-Packard Development Company, L.P. Install an application in a visualized environment
US8887150B2 (en) * 2013-03-12 2014-11-11 Bluebox Security Inc. Methods for dynamic mobile application behavior modification subject to a behavior policy
CN104239102B (en) * 2014-09-15 2016-08-24 腾讯科技(深圳)有限公司 application program operation method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101957770A (en) * 2010-10-09 2011-01-26 中兴通讯股份有限公司 Method and device for starting applications on mobile equipment
US20140366027A1 (en) * 2010-12-15 2014-12-11 Red Hat Israel, Ltd. Early network notification in live migration
CN103514004A (en) * 2012-06-28 2014-01-15 联想(北京)有限公司 Method and device for managing system environment under Windows system
CN103677920A (en) * 2013-12-11 2014-03-26 清华大学 Critical application program identifying and starting accelerating method and system
CN105528229A (en) * 2015-12-16 2016-04-27 广东欧珀移动通信有限公司 Method and device for improving first starting speed of mobile terminal
CN105490860A (en) * 2015-12-24 2016-04-13 北京奇虎科技有限公司 Method, device and system for deploying application program operation environment

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《基于Android 系统免Root 主防方法的研究》;刘井强等;《网络与信息安全学报》;20160131;第2卷(第1期);第65-72页 *

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