CN113742174B - Cloud mobile phone application monitoring method and device, electronic equipment and storage medium - Google Patents
Cloud mobile phone application monitoring method and device, electronic equipment and storage medium Download PDFInfo
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- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G06F8/00—Arrangements for software engineering
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Abstract
The disclosure provides a cloud mobile phone application monitoring method, a cloud mobile phone application monitoring device, electronic equipment and a storage medium, and relates to the field of data processing, in particular to the field of cloud computing. The specific implementation scheme is as follows: receiving an application operation instruction sent by a user side; controlling an application program in the cloud mobile phone according to the application operation instruction, and generating cloud application data; and monitoring and analyzing the application program according to the cloud application data. The embodiment of the disclosure can improve the stability of application program data collection and the efficiency of application program optimization.
Description
Technical Field
The disclosure relates to the technical field of data processing, in particular to a cloud processing technology, and specifically relates to a cloud mobile phone application monitoring method, a device, electronic equipment and a storage medium.
Background
After the mobile phone application program is online, an application program developer hopes to timely master the use condition of a user and the running condition of the application program, so that the defects of the current application program are found, a new iteration scheme is timely provided, and the maturity of the application is rapidly improved.
The monitoring application program can enable the running behavior of the application program to be completely and timely controlled by a developer, timely find problems and repair problems, and conduct targeted optimization on the application program.
Disclosure of Invention
The disclosure provides a method, a device, electronic equipment and a storage medium for cloud mobile phone application monitoring.
According to an aspect of the present disclosure, there is provided a cloud mobile phone application monitoring method, including:
receiving an application operation instruction sent by a user side;
controlling an application program in the cloud mobile phone according to the application operation instruction, and generating cloud application data;
and monitoring and analyzing the application program according to the cloud application data.
According to another aspect of the present disclosure, there is provided a cloud mobile phone application monitoring apparatus, including:
the instruction receiving module is used for receiving an application operation instruction sent by the user side;
the data generation module is used for controlling an application program in the cloud mobile phone according to the application operation instruction and generating cloud application data;
and the application monitoring analysis module is used for monitoring and analyzing the application program according to the cloud application data.
According to another aspect of the present disclosure, there is provided an electronic device including:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the methods of any one of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a non-transitory computer-readable storage medium storing computer instructions for causing a computer to perform a method according to any of the embodiments of the present disclosure.
According to another aspect of the present disclosure, there is provided a computer program product comprising: computer program which, when executed by a processor, implements a method according to any of the embodiments of the present disclosure.
The method and the device can improve stability of application program data collection and efficiency of application program optimization.
It should be understood that the description in this section is not intended to identify key or critical features of the embodiments of the disclosure, nor is it intended to be used to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following specification.
Drawings
The drawings are for a better understanding of the present solution and are not to be construed as limiting the present disclosure. Wherein:
fig. 1 is a schematic diagram of a cloud mobile phone application monitoring method according to an embodiment of the present disclosure;
fig. 2 is a schematic diagram of a physical mobile phone application monitoring process according to an embodiment of the disclosure;
fig. 3 is a schematic diagram of another cloud mobile application monitoring method provided according to an embodiment of the present disclosure;
fig. 4 is a schematic diagram of a cloud mobile phone application monitoring process according to an embodiment of the present disclosure;
fig. 5 is a schematic diagram of yet another cloud mobile application monitoring method provided according to an embodiment of the present disclosure;
fig. 6 is a schematic diagram of a cloud mobile phone application monitoring device according to an embodiment of the present disclosure;
fig. 7 is a block diagram of an electronic device used to implement a cloud mobile application monitoring method of an embodiment of the present disclosure.
Detailed Description
Exemplary embodiments of the present disclosure are described below in conjunction with the accompanying drawings, which include various details of the embodiments of the present disclosure to facilitate understanding, and should be considered as merely exemplary. Accordingly, one of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present disclosure. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
Fig. 1 is a schematic diagram of a cloud mobile phone application monitoring method provided by an embodiment of the present disclosure, where the embodiment may be suitable for a case of monitoring an application running in a cloud mobile phone, and the method may be performed by a cloud mobile phone application monitoring device, where the device may be implemented by software and/or hardware, and may be generally integrated in an electronic device with a processing function, for example, the electronic device may be a cloud mobile phone server. As shown in fig. 1, the method specifically includes:
s101, receiving an application operation instruction sent by a user side.
The user terminal refers to a physical mobile phone terminal and is used for interacting with a user, acquiring an application operation instruction input by the user, and sending the application operation instruction to the cloud mobile phone server so as to control the cloud mobile phone to run a cloud application program. The application operation instruction is used for controlling an application program in the cloud mobile phone by a user and can refer to an instruction input by the user to a user side, and the application operation instruction can realize that the user controls the application program in the cloud mobile phone to provide certain functions, such as searching, receiving voice information, playing video and the like. The cloud mobile phone server receives an application operation instruction sent by the user side, wherein the cloud mobile phone server is a cloud server and is used for receiving the application operation instruction, controlling a cloud mobile phone application program and monitoring the cloud mobile phone application program.
S102, controlling an application program in the cloud mobile phone according to the application operation instruction, and generating cloud application data.
The cloud mobile phone refers to a function of applying a cloud computing technology to network terminal services and realizing mobile phone services through a cloud mobile phone server. Under the condition that the cloud mobile phone server receives an application operation instruction sent by the user side, the cloud mobile phone server controls the cloud mobile phone according to the application operation instruction so as to control an application program in the cloud mobile phone. For example, the application operation instruction may be to control the application program to run, pause or stop, or the like, or the application operation instruction may also be to control the application program to perform a certain function, such as searching, listening to voice information, playing video, and the like. The cloud application data is used for describing data related to application programs in the cloud mobile phone, and particularly relates to the data related to the process from the beginning of the operation to the ending of the operation of the application programs. In the case of controlling an application, data generated by the application executing a corresponding instruction forms cloud application data.
And S103, monitoring and analyzing the application program according to the cloud application data.
Monitoring analysis refers to that a cloud mobile phone server monitors and analyzes cloud application data in real time to obtain state and user behavior data of an application program, and specifically, the monitoring analysis can include: according to cloud application data, user behavior data are counted; and/or determining the running state of the application program according to the cloud application data. The statistical user behavior data are specifically obtained by analyzing the behavior of the user aiming at the application program according to an application control instruction input by the user. The user behavior data may be used to determine content of interest to the user, thereby determining push content, and displaying on an interface of the application. Furthermore, the characteristics of the push content can be analyzed according to the click operation of the user on the push content, and a new push content is determined for the user. The determining of the running state of the application program may be to analyze the resource occupancy rate of the application program, locate the abnormal event and the cause of the abnormality in case of the abnormality of the application program, and feed back in time. The state of the application program can be used for improving the performance of the application program, so that the operation of the application program is simplified, the abnormality is timely fed back, the abnormality is solved, the application program is correctly operated, the operation stability of the application program is improved, the user experience is improved, and the like. For example, in the case of failure of an application program, for example, the application program is flashed back, suspended, and has a slow running speed, cloud application data is generated, and feedback is timely performed to a development server of the application program, so that the application program is timely optimized.
In the prior art, for example, fig. 2 shows a physical mobile phone application monitoring flow, and an application program runs on a user side, namely, a physical mobile phone. Under the condition that the application program is abnormal, the physical mobile phone reports abnormal information through the gateway, the gateway reports the abnormal information to the information acquisition module of the server, and after the server acquires and stores the reported information, the information acquisition module sends the acquired information to the monitoring analysis module, and the monitoring analysis module processes the abnormal information. Under the condition that the gateway is abnormal, the information uploaded by the user side cannot be uploaded to the server in time, and even data loss can be caused. In fact, the monitoring of the application program in the application monitoring flow depends on the collection and reporting of the operation data of the remote user side, and the reporting of the abnormal information is lengthy, so that a plurality of unstable factors exist: instability of reporting interfaces, uncertainty of operating environments of user equipment, uncontrollable embedded point upgrading and the like, so that collected operation data are incomplete, and monitoring efficiency and targeted repair and optimization of application programs are affected.
According to the technical scheme, the application program is controlled in the cloud mobile phone by receiving the application operation instruction sent by the user terminal, cloud application data is directly generated, so that the cloud application data is directly collected to monitor and analyze the application program, a lengthy information reporting link is avoided, the acquisition speed of the cloud application data is improved, the stability of an information transmission system is improved, the application program is monitored and analyzed in real time, the cloud application data is acquired in real time, problems can be found in time, targeted repair and optimization are performed, the problems that the information reporting link is lengthy, the targeted repair and optimization of the application program are affected in the prior art are solved, the acquisition process of the application data is simplified, the acquisition efficiency of the application program data is improved, the transmission loss of the application data can be reduced, and the accuracy of the application data is improved.
Fig. 3 is a schematic diagram of a cloud mobile phone application monitoring method provided by an embodiment of the present disclosure, where the embodiment is a specific scheme of the foregoing embodiment, and specifically, an application program is run in a cloud mobile phone, and the cloud mobile phone is run in a cloud mobile phone server. The method specifically comprises the following steps:
s201, receiving an application operation instruction sent by a user terminal.
S202, controlling an application program in the cloud mobile phone according to the application operation instruction, wherein the application program runs in the cloud mobile phone, and the cloud mobile phone runs in a cloud mobile phone server.
In the prior art, a user controls an application program to execute an operation instruction input by the user through a user terminal running on a physical mobile phone. In the embodiment of the disclosure, a user sends an application operation instruction to a cloud mobile phone server through a user terminal running on a physical mobile phone, and the cloud mobile phone server receives the application operation instruction of the user and controls a cloud mobile phone running on the cloud mobile phone server so as to indirectly control an application program running in the cloud mobile phone. Fig. 4 is a flow of monitoring a cloud mobile phone application. The cloud mobile phone collects video of an operation interface of an application program, the collected video is sent to a user side of the physical mobile phone in a video stream mode, the video stream is displayed through the user side, namely, an interface of the application program is indirectly displayed, for example, a user inputs a starting instruction of a target application in the user side, a cloud mobile phone server receives the instruction and starts the application program in the cloud mobile phone, and the cloud mobile phone sends and displays the video of the interface of the started application program to the user side to form an effect of displaying a starting flow of the application program at the user side. The cloud mobile phone is operated in a cloud mobile phone server, application data generated by an application program in the cloud mobile phone can be used as data of the cloud mobile phone server, so that log information of the cloud mobile phone server is generated and stored in the cloud mobile phone server, the log information is collected from a locally stored log file by the log information device, the log information is sent to the processing module for monitoring analysis, and a monitoring analysis result is fed back to the cloud mobile phone server in real time.
And S203, generating cloud application data.
In an alternative embodiment, generating cloud application data includes: generating cloud mobile phone server log information according to the application operation instruction and the operation data of the application program; and extracting cloud application data from the log information of the cloud mobile phone server.
The cloud mobile phone server log information is used for recording data associated with the cloud mobile phone server, for example, the associated data comprise data received by the cloud mobile phone server, data of a program running in the cloud mobile phone server and the like. The cloud mobile phone server log information is stored in the cloud mobile phone server, and the cloud mobile phone server log information comprises data of at least one application program running in the cloud mobile phone server. The plurality of application programs can be respectively arranged on different cloud mobile phones in the cloud mobile phone server. The cloud application data may be data of the application program, and the cloud application data may include operation data of the application program, a control instruction for the application program, and the like, where the control instruction may be the same as an application operation instruction, or may be an instruction generated by the cloud mobile phone according to the application operation instruction. The cloud mobile phone server directly queries the running data of the designated application program from the log information of the cloud mobile phone server and determines the running data as cloud application data, and the cloud mobile phone server can regularly extract the cloud application data to realize monitoring analysis on the corresponding application program.
In a specific example, a piece of cloud application data generated by an application program for a control instruction may include: at least one of an operation type, an operation time, and operation data generated by the operation, and the like. For example, the cloud application performs the Y operation at the X time, resulting in a Z interface.
According to the application operation instruction and the running data of the application program, the cloud mobile phone server log information is generated, the cloud mobile phone server directly extracts cloud application data from the cloud mobile phone server log information, the data acquisition efficiency of the application program is improved, the transmission loss of the application data can be reduced, and the accuracy of the application data is improved.
And S204, monitoring and analyzing the application program according to the cloud application data.
In an alternative embodiment, monitoring and analyzing the application program according to the cloud application data includes: acquiring the aging type of the application program; cloud application data of the application program in the time period corresponding to the aging type is obtained, and a monitoring analysis result of the application program is determined.
The aging type refers to the degree of the application program aging. The time length corresponding to the time length type refers to the time length specified according to the time length type of the application program, and cloud application data corresponding to the time length specified is determined according to the time length specified. For example, the specified duration may be used to determine an acquisition time period to obtain cloud application data generated during the acquisition time period. The time length can also be understood as a time length interval for acquiring cloud application data, that is, a designated time length can be used for determining an acquisition time length interval to acquire the time length interval, and cloud application data generated in the time length interval is acquired. Specifically, the duration corresponding to the application program with high requirement on the aging type is shorter, and the duration corresponding to the application program with low requirement on the aging type is longer. It should be noted that, the aging type and the corresponding duration of the specific application program may be set manually, or may be generated through an intelligent algorithm model, which is not specifically limited in the disclosure. The age type may be determined based on the interaction frequency of the application. The application program is an on-hook game, and the interaction frequency of the on-hook game is low, so that the timeliness of the on-hook game is low, the corresponding time length is long, and for example, cloud application data of 24 hours can be acquired; the real-time interactive game, such as a round-robin game, has higher frequency of application operation instructions input by a user aiming at the round-robin game, and meanwhile, the round-robin game needs to respond in real time according to the application operation instructions of the user and feeds back, and the user further inputs the next application operation instruction according to the feedback, so that the timeliness of determining the round-robin game is high, the corresponding time length is short, and cloud application data of 10 minutes can be obtained, for example. After cloud application data of the application program in the time period corresponding to the aging type is acquired, the acquired application data in the time period is analyzed, and a monitoring analysis result of the application program is determined.
According to the aging type of the application program, cloud application data in the time length corresponding to the aging type are acquired, so that the acquisition frequency of the cloud application data can be reasonably controlled, the occupancy rate of the memory of the cloud mobile phone server is reduced, and the resource utilization rate of the cloud mobile phone server is improved.
According to the technical scheme, the application program is operated in the cloud mobile phone, so that the hardware requirement on the physical mobile phone is reduced, the cloud mobile phone is operated in the cloud mobile phone server, the operation data of the application program in the cloud mobile phone is directly reported to the cloud mobile phone server, the acquisition process of the application data is simplified, the acquisition efficiency of the application program data is improved, the transmission loss of the application data can be reduced, and the accuracy of the application data is improved.
Fig. 5 is a schematic diagram of a cloud mobile phone application monitoring method provided in an embodiment of the present disclosure. The embodiment is a specific solution of the foregoing embodiment, and specifically, the cloud mobile phone application monitoring method further includes: acquiring a data type of cloud application data; and storing the cloud application data by adopting a storage mode corresponding to the data type. The method specifically comprises the following steps:
s301, receiving an application operation instruction sent by a user side.
S302, controlling an application program in the cloud mobile phone according to the application operation instruction, and generating cloud application data.
S303, acquiring the data type of the cloud application data.
Cloud application data types are classified into log text data types, monitoring data types and the like. The log text data type is a complex data type comprising a plurality of different data formats; the monitoring data type is a simple data type comprising a single data format.
S304, storing cloud application data by adopting a storage mode corresponding to the data type.
The data of different data types have different characteristics, and a corresponding storage mode is adopted according to the characteristics, so that the data storage quantity is reduced, and the storage pressure of a server is reduced. Specifically, the storage mode includes adopting different storage media types, whether backup and backup number, whether index establishment and data compression are performed, and the like.
In an alternative embodiment, storing cloud application data in a storage manner matched with a data type includes: in the case that the data type is a log text data type, determining a storage parameter according to the generation time of the cloud application data, wherein the storage parameter comprises at least one of the following: a storage medium parameter, a backup number parameter, and an index parameter; and storing the cloud application data according to the storage parameters.
The log text data type may be a text type for recording data of an execution instruction of an application program. Specifically, the data of the log text data type may include at least one of the following: execution time of an application execution instruction, identification of an executed operation, a generated operation result, and the like. The data of the log text data type includes a plurality of data formats, each of which may be represented by at least one character, and a numerical value of the character may be used as an attribute value under the data format.
The generation time of the cloud application data refers to the generation time of log information of the cloud mobile phone server. According to the generation time of cloud application data, determining storage parameters, specifically: and determining a storage parameter according to the interval between the generation time and the current time of the cloud application data, wherein the shorter the interval between the generation time and the current time of the cloud application data is, the higher the value of the cloud application data is, and the higher the probability of extraction is. For example, the generation time may be divided into one day, one week, one month, and one month ago. The storage parameters include at least one of a storage medium parameter, a backup number parameter, and an index parameter.
Storage medium parameters refer to parameters of a carrier storing data, such as materials, capacity, cost, etc., and in particular, the storage medium may be divided into a memory and an external memory, and the external memory may include at least one of a hard disk, a magnetic disk, an optical disk, etc. The shorter the interval between the generation time of the cloud application data and the current time is, the storage medium with high storage and reading speed and/or high cost is selected for storage, and the longer the interval between the generation time of the cloud application data and the current time is, the storage medium with low storage and reading speed and/or low cost is selected for storage, for example, the cloud application data in one day is stored in a memory; cloud application data within a week are stored in a hard disk; cloud application data within one month is stored in a disk; cloud application data one month ago is not stored, and stored associated data may also be deleted or the like.
The backup number parameter may include the number of backups and/or the number of backups, and the number of backups may be set by setting a backup time interval. The shorter the interval between the generation time of the cloud application data and the current time is, the more the backup times of the cloud application data are, the faster the frequency is, the more the backup quantity is, the longer the interval between the generation time of the cloud application data and the current time is, the fewer the backup times of the cloud application data are, the slower the frequency is, and the backup quantity is less. For example, cloud application data within a day is backed up once every 10 minutes; the cloud application data in one week is backed up every 1 day, and the cloud application data in one month is backed up every 1 week; cloud application data one month ago was not backed up. For another example, 3 copies of cloud application data in one day are respectively stored in different storage nodes; only 2 copies of cloud application data in one week are reserved; only 1 backup of cloud application data in one month is reserved; cloud application data one month ago deleted all backups.
The index parameter refers to whether to build an index, and specifically, the index parameter refers to build an index and not build an index. The shorter the interval between the generation time of the cloud application data and the current time is, the index is built by the cloud application data, the longer the interval between the generation time of the cloud application data and the current time is, the index is not built by the cloud application data, and the index built by the history can be deleted. For example, cloud application data during the day and week is indexed; cloud application data within one month and one month ago is not indexed.
Under the condition that the interval between the generation time and the current time of the cloud application data is shorter, the value of the cloud application data is higher, the probability of being extracted is also higher, a storage medium with high reading speed is selected for storage, the backup quantity parameter is selected to be a larger value, and meanwhile, an index is established, so that the extraction efficiency of the application data can be improved. Under the condition that the interval between the generation time and the current time of the cloud application data is longer, the value of the cloud application data is lower, the probability of being extracted is lower, a storage medium with low cost is selected for storage, the backup quantity parameter is selected to be smaller in value or not to be backed up, meanwhile, an index is not established, and the occupation of storage resources of a cloud mobile phone server is reduced.
By configuring a plurality of storage parameters for the log text data type and determining the storage parameters according to the generation time of the cloud application data to store the cloud application data, the storage flexibility of the cloud application data can be increased, and the storage application scenes of the cloud application data with different timelines can be adapted, so that the storage occupation space is reduced to the greatest extent, and the consumption of storage resources is reduced.
In an alternative embodiment, storing cloud application data in a storage manner matched with a data type includes: and under the condition that the data type is the monitoring data type, compressing and storing the cloud application data according to the time information of the cloud application data.
The monitoring data is typically made up of attribute values of time and parameters. The monitoring data comprises single data format, and can be compressed in a column type and time sequence mode. For example, in the case where the monitoring data is the occupancy rate of the CPU, the monitoring data includes the collection time of the CPU and the attribute value of the occupancy rate, and the time interval of the collection time is 10 minutes, that is, the occupancy rate of the CPU is collected every 10 minutes. According to the column compression, the acquisition time within one hour can be compressed to a time value in units of 10 minutes, for example, the times corresponding to the compressed data 1, 2, and 3 are actually 10 minutes, 20 minutes, and 30 minutes. The occupancy rate of the CPU is compressed to an occupancy rate value in units of unit occupancy rates, for example, the actual CPU occupancy rates corresponding to the compressed data 10, 20, and 30 are 10%, 20%, and 30%, so that repeated storage of the same hour data and CPU occupancy rate value unit percentages can be avoided. In addition, in the case where the acquisition times are the same, only one acquisition time may be stored, omitting the data of the same content.
By compressing the cloud application data under the condition that the data type is the monitoring data type, the storage resources of the cloud mobile phone server can be saved, and the storage resource utilization rate of the cloud mobile phone server is improved.
And S305, monitoring and analyzing the application program according to the cloud application data.
According to the technical scheme, the cloud application data are stored in a corresponding storage mode according to the data types of the cloud application data by distinguishing the data types of the cloud application data, so that the storage flexibility of the cloud application data can be increased, different application scenes are adapted, the cloud application data are stored in a targeted mode, the storage occupied space is reduced to the greatest extent, the consumption of storage resources is reduced, and the utilization rate of the storage resources of the server can be improved.
Fig. 6 is a schematic diagram of a cloud mobile phone application monitoring device provided by an embodiment of the present disclosure, where the embodiment of the present disclosure may be adapted to control an application program in a cloud mobile phone according to an application operation instruction, generate cloud application data, and perform monitoring analysis on the application program in the cloud mobile phone, so as to implement monitoring on the cloud mobile phone application. The electronic device may be a cloud handset server.
The cloud mobile phone application monitoring apparatus 400 shown in fig. 6 includes:
the instruction receiving module 401 is configured to receive an application operation instruction sent by a user side;
the data generation module 402 is configured to control an application program in the cloud mobile phone according to an application operation instruction, and generate cloud application data;
the application monitoring analysis module 403 is configured to perform monitoring analysis on the application program according to the cloud application data.
According to the technical scheme, the application program is controlled in the cloud mobile phone by receiving the application operation instruction sent by the user terminal, cloud application data is directly generated, so that the cloud application data is directly collected to monitor and analyze the application program, a lengthy information reporting link is avoided, the acquisition speed of the cloud application data is improved, the stability of an information transmission system is improved, the application program is monitored and analyzed in real time, the cloud application data is acquired in real time, problems can be found in time, targeted repair and optimization are performed, the problems that the information reporting link is lengthy, the targeted repair and optimization of the application program are affected in the prior art are solved, the acquisition process of the application data is simplified, the acquisition efficiency of the application program data is improved, the transmission loss of the application data can be reduced, and the accuracy of the application data is improved.
Optionally, the application program runs in a cloud mobile phone, and the cloud mobile phone runs in a cloud mobile phone server.
Optionally, the data generating module includes: the log information generating unit is used for generating cloud mobile phone server log information according to the application operation instruction and the operation data of the application program; and the data extraction unit is used for extracting cloud application data from the log information of the cloud mobile phone server.
Optionally, the cloud mobile phone application monitoring device further includes: the data type acquisition module is used for acquiring the data type of the cloud application data; and the data storage module is used for storing cloud application data by adopting a storage mode corresponding to the data type.
Optionally, the data storage module includes: the storage parameter determining unit is used for determining a storage parameter according to the generation time of the cloud application data under the condition that the data type is the log text data type, wherein the storage parameter comprises at least one of the following: a storage medium parameter, a backup number parameter, and an index parameter; and the cloud application data storage unit is used for storing the cloud application data according to the storage parameters.
Optionally, the data storage module includes: and the data compression storage unit is used for compressing and storing the cloud application data according to the time information of the cloud application data under the condition that the data type is the monitoring data type.
Optionally, the application monitoring analysis module includes: the aging type acquisition unit is used for acquiring the aging type of the application program; and the result determining unit is used for acquiring cloud application data of the application program in the time length corresponding to the aging type and determining a monitoring analysis result of the application program.
The cloud mobile phone application monitoring device can execute the cloud mobile phone application monitoring method provided by any embodiment of the disclosure, and has the corresponding functional modules and beneficial effects of the execution method. Technical details which are not described in detail in the present embodiment can be referred to the cloud mobile application monitoring method provided in any embodiment of the present disclosure.
Since the cloud mobile phone application monitoring device described above is a device capable of executing the cloud mobile phone application monitoring method in the embodiment of the present disclosure, based on the cloud mobile phone application monitoring method described in the embodiment of the present disclosure, a person skilled in the art can understand a specific implementation manner of the cloud mobile phone application monitoring device of the present embodiment and various variations thereof, so how the cloud mobile phone application monitoring device implements the cloud mobile phone application monitoring method in the embodiment of the present disclosure will not be described in detail herein. The device adopted by the cloud mobile phone application monitoring method in the embodiment of the disclosure is within the scope of protection of the disclosure as long as the person skilled in the art implements the device.
In the technical scheme of the disclosure, the related processes of collecting, storing, using, processing, transmitting, providing, disclosing and the like of the personal information of the user accord with the regulations of related laws and regulations, and the public order colloquial is not violated.
According to embodiments of the present disclosure, the present disclosure also provides an electronic device, a readable storage medium and a computer program product.
Fig. 7 shows a schematic block diagram of an example electronic device 500 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
As shown in fig. 7, the apparatus 500 includes a computing unit 501 that can perform various suitable actions and processes according to a computer program stored in a Read Only Memory (ROM) 502 or a computer program loaded from a storage unit 508 into a Random Access Memory (RAM) 503. In the RAM 503, various programs and data required for the operation of the device 500 can also be stored. The computing unit 501, ROM 502, and RAM 503 are connected to each other by a bus 504. An input/output (I/O) interface 805 is also connected to the bus 504.
Various components in the device 500 are connected to the I/O interface 505, including: an input unit 806 such as a keyboard, mouse, etc.; an output unit 507 such as various types of displays, speakers, and the like; a storage unit 508 such as a magnetic disk, an optical disk, or the like; and a communication unit 509 such as a network card, modem, wireless communication transceiver, etc. The communication unit 509 allows the device 500 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
The computing unit 501 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 501 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 501 performs the various methods and processes described above, such as the cloud handset application monitoring method. For example, in some embodiments, the cloud handset application monitoring method may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 508. In some embodiments, part or all of the computer program may be loaded and/or installed onto the device 500 via the ROM 502 and/or the communication unit 509. When the computer program is loaded into RAM 503 and executed by computing unit 501, one or more steps of the cloud handset application monitoring method described above may be performed. Alternatively, in other embodiments, the computing unit 801 may be configured to perform the cloud handset application monitoring method by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computer system may include a client and a server. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (14)
1. A cloud mobile phone application monitoring method comprises the following steps:
receiving an application operation instruction sent by a user side;
controlling an application program in the cloud mobile phone according to the application operation instruction, and generating cloud application data;
monitoring and analyzing the application program according to the cloud application data;
the monitoring analysis of the application program according to the cloud application data comprises the following steps:
acquiring the aging type of the application program; the aging type is determined according to the interaction frequency of the application program;
acquiring cloud application data of the application program in a time period corresponding to the aging type, and determining a monitoring analysis result of the application program; the time length corresponding to the aging type is used for determining a time length interval for acquiring the generated cloud application data, and the time length corresponding to the application program with high aging type requirement is determined.
2. The method of claim 1, wherein the application is run in the cloud handset, the cloud handset running in a cloud handset server.
3. The method of claim 2, wherein the generating cloud application data comprises:
generating cloud mobile phone server log information according to the application operation instruction and the operation data of the application program;
and extracting cloud application data from the cloud mobile phone server log information.
4. The method of claim 1, further comprising:
acquiring a data type of the cloud application data;
and storing the cloud application data by adopting a storage mode corresponding to the data type.
5. The method of claim 4, wherein the storing cloud application data in a storage manner matching the data type comprises:
and under the condition that the data type is a log text data type, determining a storage parameter according to the generation time of the cloud application data, wherein the storage parameter comprises at least one of the following: a storage medium parameter, a backup number parameter, and an index parameter;
and storing the cloud application data according to the storage parameters.
6. The method of claim 4, wherein the storing cloud application data in a storage manner matching the data type comprises:
and under the condition that the data type is the monitoring data type, compressing and storing the cloud application data according to the time information of the cloud application data.
7. A cloud mobile application monitoring device, comprising:
the instruction receiving module is used for receiving an application operation instruction sent by the user side;
the data generation module is used for controlling an application program in the cloud mobile phone according to the application operation instruction and generating cloud application data;
the application monitoring analysis module is used for monitoring and analyzing the application program according to the cloud application data;
wherein, the application monitoring analysis module includes:
an aging type obtaining unit, configured to obtain an aging type of the application program; the aging type is determined according to the interaction frequency of the application program;
the result determining unit is used for acquiring cloud application data of the application program in the time length corresponding to the aging type and determining a monitoring analysis result of the application program; the time length corresponding to the aging type is used for determining a time length interval for acquiring the generated cloud application data, and the time length corresponding to the application program with high aging type requirement is determined.
8. The apparatus of claim 7, wherein the application is running in the cloud handset, the cloud handset running in a cloud handset server.
9. The apparatus of claim 8, wherein the data generation module comprises:
the log information generating unit is used for generating cloud mobile phone server log information according to the application operation instruction and the operation data of the application program;
and the data extraction unit is used for extracting cloud application data from the cloud mobile phone server log information.
10. The apparatus as recited in claim 7, further comprising:
the data type acquisition module is used for acquiring the data type of the cloud application data;
and the data storage module is used for storing the cloud application data in a storage mode corresponding to the data type.
11. The apparatus of claim 10, wherein the data storage module comprises:
a storage parameter determining unit, configured to determine a storage parameter according to a generation time of the cloud application data when the data type is a log text data type, where the storage parameter includes at least one of: a storage medium parameter, a backup number parameter, and an index parameter;
and the cloud application data storage unit is used for storing the cloud application data according to the storage parameters.
12. The apparatus of claim 10, wherein the data storage module comprises:
and the data compression storage unit is used for compressing and storing the cloud application data according to the time information of the cloud application data under the condition that the data type is the monitoring data type.
13. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-6.
14. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-6.
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