CN113722378B - Method, device, electronic equipment and medium for collecting information - Google Patents
Method, device, electronic equipment and medium for collecting information Download PDFInfo
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- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
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- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/48—Program initiating; Program switching, e.g. by interrupt
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Abstract
The disclosure provides a method, a device, electronic equipment and a medium for acquiring information, relates to the technical field of computers, and particularly relates to cloud computing and virtualization technologies. The specific implementation scheme is as follows: acquiring a data acquisition task aiming at a target application; selecting cloud mobile phones with matched target number platforms from a preset cloud mobile phone pool according to the data acquisition task, wherein the matched cloud mobile phones are provided with the target application; executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application; and carrying out statistical processing on the acquired data to generate a processing result. Therefore, the method for collecting the third party data by using the cloud mobile phone is provided.
Description
Technical Field
The present disclosure relates to the field of computer technology, and in particular, to cloud computing and virtualization technologies, and more particularly, to a method, an apparatus, an electronic device, and a medium for collecting information.
Background
Along with the wider and wider application of the mobile internet, the demands of information acquisition technologies for mobile terminals such as mobile phones and tablets are gradually increased.
In the prior art, if data acquisition and statistics aiming at a target Application (APP) on a mobile terminal are required, the data acquisition and statistics are often provided by a service provider for providing related services.
Disclosure of Invention
Provided are a method, an apparatus, an electronic device, and a storage medium for collecting information.
According to a first aspect, there is provided a method for collecting information, the method comprising: acquiring a data acquisition task aiming at a target application; selecting cloud mobile phones with matched target number stations from a preset cloud mobile phone pool according to a data acquisition task, wherein the matched cloud mobile phones are provided with target applications; executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application; and carrying out statistical processing on the acquired data to generate a processing result.
According to a second aspect, there is provided an apparatus for collecting information, the apparatus comprising: an acquisition unit configured to acquire a data acquisition task for a target application; the selecting unit is configured to select cloud mobile phones with matched target numbers from a preset cloud mobile phone pool according to the data acquisition task, wherein the matched cloud mobile phones are provided with target applications; the acquisition unit is configured to execute a script matched with the data acquisition task on the selected cloud mobile phone so as to acquire data aiming at the target application; and the statistics unit is configured to perform statistics processing on the acquired data to generate a processing result.
According to a third aspect, there is provided 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 as described in any one of the implementations of the first aspect.
According to a fourth aspect, there is provided a non-transitory computer readable storage medium storing computer instructions for enabling a computer to perform a method as described in any of the implementations of the first aspect.
According to a fifth aspect, there is provided a computer program product comprising a computer program, wherein the computer program when executed by a processor implements the steps of the method as described in any of the implementations of the first aspect.
According to the technology disclosed by the invention, the data acquisition task aiming at the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, and then the acquired data is subjected to statistical processing, so that a processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of data, which is caused by the reasons of benefits or technical equipment and the like, of the data provided by a service party providing related services is avoided. And compared with the traditional method for acquiring data by using the entity mobile phone, the method is quicker and more flexible, and the cost for acquiring the data is lower.
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 according to a first embodiment of the present disclosure;
FIG. 2 is a schematic diagram according to a second embodiment of the present disclosure;
FIG. 3 is a schematic diagram of one application scenario in which a method for gathering information according to embodiments of the present disclosure may be implemented;
FIG. 4 is a schematic diagram of an apparatus for gathering information in accordance with an embodiment of the present disclosure;
fig. 5 is a block diagram of an electronic device for implementing a method for gathering information in accordance with 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 100 illustrating a first embodiment according to the present disclosure. The method for collecting information comprises the following steps:
s101, acquiring a data acquisition task aiming at a target application.
In this embodiment, an execution body for collecting information (for example, a cloud server that provides support for a cloud mobile phone) may obtain a data collection task for a target application in various manners. The target application generally comprises an application installed on a cloud mobile phone. The target application can be any application which is pre-designated and installed on the cloud mobile phone; or an application determined according to a preset rule (for example, an application running at a certain time), which is not limited herein.
As an example, the executing body may obtain the data collection task for the target application from a local or communication-connected electronic device through a wired or wireless connection. The data acquisition task can be flexibly determined according to specific application scenes and categories of target applications. As an example, the data collection task may include a public opinion monitoring class task. The public opinion monitoring task may be used to indicate the popularity of each topic in the news application.
It should be noted that, the cloud mobile phone may be generally understood as a virtualized service based on a cloud computing and ARM (Advanced RISC Machine) processor. Based on the outstanding advantages of cloud computing in large-scale computing, strong storage capacity, virtualized application and the like, a background server (such as a cloud platform) for supporting cloud mobile phone operation can provide diversified and omnibearing virtual mobile terminal applications and services for intelligent terminal (such as mobile phones, tablet computers and the like) users, and comprehensively supports the display, downloading, application and management services of application programs of various mobile terminals.
It should be further noted that the cloud platform may instantiate a plurality of cloud mobile phones at the cloud end, so as to directly invoke the instantiated cloud mobile phones when needed. Therefore, cloud operation of the android App can be achieved by remotely controlling the cloud mobile phone in real time through the client of the cloud mobile phone.
S102, selecting cloud mobile phones with matched target number stations from a preset cloud mobile phone pool according to the data acquisition task.
In this embodiment, according to the data acquisition task acquired in step S101, the executing body may select, by various manners, a cloud phone with a target number of matching stations from a preset cloud phone pool. The target application can be installed on the matched cloud mobile phone. As an example, the executing body may randomly select, from the preset cloud mobile phone pool, a target number of cloud mobile phones with the target application installed thereon as the matched cloud mobile phones. As another example, the executing body may further select, according to the resource usage situation of the cloud mobile phones in the preset cloud mobile phone pool, the cloud mobile phones with the target number of target applications installed thereon as the matched cloud mobile phones, so as to improve the resource utilization efficiency.
S103, executing a script matched with the data acquisition task on the selected cloud mobile phone to acquire data aiming at the target application.
In this embodiment, the executing body may execute a script matched with the data collection task on the cloud mobile phone selected in step S102, so as to collect data for the target application. The script matched with the data acquisition task can be flexibly determined according to a specific application scene. As an example, when the data collection task is used to indicate collection of heat of each topic in the news application, the script may be used to monitor interaction operation of the user side on each topic in the news application and count the number of times. Wherein, the interaction operation may include, but is not limited to, at least one of the following: browsing, praying, commenting, forwarding and collecting. As yet another example, when the data collection task is used to indicate the effectiveness of advertisement placement in a short video class application, the script may be used to monitor the number of presentations of the placed advertisement in the short video class application.
S104, carrying out statistical processing on the acquired data to generate a processing result.
In this embodiment, the execution body may perform statistical processing on the data collected in step S103 in various manners to generate a processing result. As an example, the executing body may collect the corresponding data collected by the target number of cloud mobile phones selected in the step S102. Then, the execution body may process the summarized data according to the actual application requirement, for example, drawing a trend chart, detecting whether abnormal data exists, and the like. Finally, the execution body may generate a processing result. The processing result may include statistical data. Optionally, the processing result may also include alarm information for indicating whether an abnormal result exists.
According to the method provided by the embodiment of the disclosure, the data acquisition task aiming at the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, and then the acquired data is subjected to statistical processing, so that a processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of data, which is caused by the reasons of benefits or technical equipment and the like, of the data provided by a service party providing related services is avoided.
In some optional implementations of this embodiment, the data collection task described above may be used to indicate a delivery effect of the business object.
In these implementations, the data collection task may be flexibly set according to the actual application scenario. As an example, in the advertising field, the data collection task described above may be used to instruct acquisition of at least one of: presentation Rate (compression), click-Through-Rate (CTR), conversion Rate (CVR).
Based on the optional implementation manner, the scheme can be applied to the field of collecting the service object delivery effect, and the application scene of the scheme is enriched.
In some optional implementations of this embodiment, the data collection task may include area information for indicating an area where the cloud mobile phone is located. The execution body can select cloud mobile phones with the areas of the machine rooms corresponding to the target number of the machine rooms matched with the area information from a preset cloud mobile phone pool.
In these implementations, the preset cloud mobile phone pool may record a correspondence between an identifier (e.g., an ID) of the cloud mobile phone and an area where a cloud server corresponding to the cloud mobile phone is located. As an example, a user may select area information (e.g., "region a", "region N", etc.) when transmitting a data acquisition task through a console (console). And then, after the execution main body acquires the data acquisition task, selecting cloud mobile phone instances virtualized by the machine rooms of the target number in the region indicated by the region information from the preset cloud mobile phone pool, thereby selecting cloud mobile phones with the region where the machine rooms corresponding to the target number table are located and the region information matched.
Based on the optional implementation manner, the scheme can realize flexible selection aiming at different areas, so that the method is particularly suitable for data acquisition tasks with strong regionality, and compared with the traditional data acquisition manner of an application entity mobile phone, the method is quicker and more flexible, and the cost for acquiring the data is lower.
In some optional implementations of this embodiment, based on the data collection task being used to indicate a delivery effect of the service object, the executing body may generate service object delivery information as data for the target application in response to determining that the delivered service object is detected in the target application running on the selected cloud mobile phone.
In these implementations, the executing entity may first determine whether the dropped business object is detected in the target application running on the selected cloud handset in various ways. In response to determining that the launched business object is detected in the target application running on the selected cloud mobile phone, the executing body may generate business object launching information as data for the target application in various ways. For example, the business object placement information described above may be used to indicate the display number of the business object. Thus, the execution body may increase the presentation number by 1 every time it detects.
As an example, the business object to be put in may include a picture material. The execution body may compare (e.g. calculate a similarity) the image displayed in the target application with the image material, and when the comparison result is consistent, the execution body may determine that the dropped service object is detected in the target application running on the selected cloud mobile phone. As yet another example, the business object to be delivered may include a target web page link. The execution body can compare the webpage links displayed in the target application with the target webpage links, and when the comparison results are consistent, the execution body can determine that the released business object is detected in the target application running on the selected cloud mobile phone.
Based on the optional implementation manner, the method for collecting the third party data aiming at the service object delivery data by using the cloud mobile phone can be provided, and the inaccuracy of the data, which is caused by the reasons of benefits or technical equipment and the like, of the data provided by the service side for providing the related service is avoided.
With continued reference to fig. 2, fig. 2 is a schematic diagram 200 according to a second embodiment of the present disclosure. The method for collecting information comprises the following steps:
s201, acquiring a data acquisition task aiming at a target application.
In this embodiment, the data collection task may be used to indicate a delivery effect of the service object.
S202, selecting cloud mobile phones with matched target number stations from a preset cloud mobile phone pool according to the data acquisition task.
S203, responding to the fact that the released business object is detected in the target application running on the selected cloud mobile phone, and obtaining response operation information of the client corresponding to the cloud mobile phone where the target application is located on the released business object.
In this embodiment, in response to determining that the released business object is detected in the target application running on the cloud mobile phone selected in step S202, the executing body may obtain, by using various manners, response operation information of the client corresponding to the cloud mobile phone where the target application is located on the released business object.
In this embodiment, the executing body may first determine whether the dropped business object is detected in the target application running on the cloud mobile phone selected in step S202 through various manners. In response to determining that the dropped business object is detected in a target application running on the selected cloud handset. As an example, the business object to be put in may include a picture material. The execution body may compare (e.g. calculate a similarity) the image displayed in the target application with the image material, and when the comparison result is consistent, the execution body may determine that the dropped service object is detected in the target application running on the selected cloud mobile phone. As yet another example, the business object to be delivered may include a target web page link. The execution body can compare the webpage links displayed in the target application with the target webpage links, and when the comparison results are consistent, the execution body can determine that the released business object is detected in the target application running on the selected cloud mobile phone.
Then, in response to determining that the released business object is detected in the target application running on the cloud mobile phone selected in step S202, the executing body may obtain, in various manners, response operation information of the client corresponding to the cloud mobile phone where the target application is located on the released business object. As an example, the above-described response operation information may be used to indicate various response operations. Wherein the responding operation may include, but is not limited to, at least one of: browsing, clicking, commenting, forwarding, collecting and purchasing.
S204, according to the response operation information, generating service object delivery response information as data for the target application.
In this embodiment, according to the response operation information acquired in the step S203, the execution subject may generate the service object delivery response information as the data for the target application in various manners. As an example, the object delivery response information may indicate a click through rate, and the execution body may generate the object delivery response information according to the indicated number of click operations. As yet another example, the object placement response information may indicate a conversion rate, and the execution subject may generate the object placement response information according to the indicated number of purchase operations.
S205, carrying out statistical processing on the acquired data to generate a processing result.
The foregoing S201, S202, and S205 may be identical to S101, S102, and S104 and their optional implementation manners in the foregoing embodiments, and the foregoing descriptions of S101, S102, and S104 and their optional implementation manners also apply to S201, S202, and S205, which are not repeated herein.
As can be seen from fig. 2, the flow 200 of the method for collecting information in this embodiment represents a step of obtaining response operation information of a client corresponding to a cloud mobile phone where a target application is located on the target application to the released service object in response to determining that the released service object is detected in the target application running on the selected cloud mobile phone, and a step of generating service object release response information as data for the target application according to the response operation information. Therefore, the scheme described in the embodiment can enrich the acquired data aiming at the target application by using the response operation information acquired from the client, and improves the applicable scene of the scheme.
With continued reference to fig. 3, fig. 3 is a schematic illustration of an application scenario of a method for collecting information according to an embodiment of the present disclosure. In the application scenario of fig. 3, a user 301 sends a data acquisition task 304 for a news class application "X" to a cloud server 303 through a terminal 302. According to the data collection task 304, the cloud server 303 selects a cloud phone 3051 with a matched target number of platforms from a preset cloud phone pool 305. Then, the cloud server 303 executes a script matched with the data collection task on the cloud mobile phone 3051 matched with the selected target number table, so as to collect data of the news application "X". Then, the cloud server 303 performs statistical processing on the data collected by the cloud mobile phone 3051 matched with the selected target number table, and generates a processing result 306. Optionally, cloud server 303 may also feed back generated processing result 306 to terminal 302.
Currently, one of the prior art is generally to provide data collection and statistics for a target application on a mobile terminal by a service provider providing related services, resulting in a risk of inaccurate data of the provided data due to benefits or technical equipment, etc. According to the method provided by the embodiment of the disclosure, the data acquisition task aiming at the target application is converted into the script which is distributed to the corresponding cloud mobile phone for execution, and then the acquired data is subjected to statistical processing, so that a processing result is generated. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of data, which is caused by the reasons of benefits or technical equipment and the like, of the data provided by a service party providing related services is avoided. And compared with the traditional method for acquiring data by using the entity mobile phone, the method is quicker and more flexible, and the cost for acquiring the data is lower.
With further reference to fig. 4, as an implementation of the method shown in the above figures, the present disclosure provides an embodiment of an apparatus for collecting information, which corresponds to the method embodiment shown in fig. 1 or fig. 2, and which is particularly applicable in various electronic devices.
As shown in fig. 4, the apparatus 400 for collecting information provided in this embodiment includes an obtaining unit 401, a selecting unit 402, an collecting unit 403, and a statistics unit 404. Wherein the acquiring unit 401 is configured to acquire a data acquisition task for a target application; a selecting unit 402, configured to select, according to a data acquisition task, cloud handsets with a target number of matches from a preset cloud handset pool, where a target application is installed on the matched cloud handsets; the acquisition unit 403 is configured to execute a script matched with the data acquisition task on the selected cloud mobile phone so as to acquire data aiming at the target application; a statistics unit 404 configured to perform statistical processing on the acquired data, and generate a processing result.
In this embodiment, in the apparatus 400 for collecting information: the specific processes of the obtaining unit 401, the selecting unit 402, the collecting unit 403 and the statistics unit 404 and the technical effects thereof may refer to the relevant descriptions of steps S101, S102, S103 and S104 in the corresponding embodiment of fig. 1, and are not repeated herein.
In some optional implementations of this embodiment, the data collection task described above may be used to indicate a delivery effect of the business object.
In some optional implementations of this embodiment, the data collection task may include area information for indicating an area where the cloud mobile phone is located; and the selection unit 402 may be further configured to: and selecting cloud mobile phones with the areas of the machine rooms corresponding to the target number of the cloud mobile phone pools and the area information matched with each other from a preset cloud mobile phone pool.
In some optional implementations of this embodiment, the acquisition unit 403 may be further configured to: in response to determining that the dropped business object is detected in the target application running on the selected cloud cell phone, business object drop information is generated as data for the target application.
In some optional implementations of this embodiment, the acquisition unit 403 may be further configured to: responding to the fact that the released business object is detected in the target application running on the selected cloud mobile phone, and acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located on the released business object; and generating service object delivery response information as data for the target application according to the response operation information.
According to the device provided by the embodiment of the present disclosure, the data acquisition task for the target application acquired by the acquisition unit 401 is converted into the script allocated to the cloud mobile phone selected by the selection unit 402 for execution, and then the statistics unit 404 performs the statistics processing on the data acquired by the acquisition unit 403, so as to generate the processing result. Therefore, the method for collecting the third-party data by using the cloud mobile phone is provided, and inaccuracy of data, which is caused by the reasons of benefits or technical equipment and the like, of the data provided by a service party providing related services is avoided. And compared with the traditional method for acquiring data by using the entity mobile phone, the method is quicker and more flexible, and the cost for acquiring the data is lower.
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. 5 illustrates 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. 5, 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 505 is also connected to bus 504.
Various components in the device 500 are connected to the I/O interface 505, including: an input unit 506 such as a keyboard, a 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 a method for collecting information. For example, in some embodiments, the method for gathering information 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 method for gathering information described above may be carried out. Alternatively, in other embodiments, the computing unit 501 may be configured to perform the method for collecting information 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, sequentially, or in a different order, provided that the desired results of the disclosed aspects 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 (6)
1. A method for gathering information, comprising:
acquiring a data acquisition task aiming at a target application; the data acquisition task is used for indicating the release effect of the business object;
selecting cloud mobile phones with matched target number platforms from a preset cloud mobile phone pool according to the data acquisition task, wherein the matched cloud mobile phones are provided with the target application;
responding to the fact that the released business object is detected in the target application running on the selected cloud mobile phone, and acquiring response operation information of a client corresponding to the cloud mobile phone where the target application is located on the released business object; generating service object delivery response information as data aiming at the target application according to the response operation information;
and carrying out statistical processing on the acquired data to generate a processing result.
2. The method of claim 1, wherein the data acquisition task comprises area information for indicating an area where the cloud mobile phone is located; and
selecting cloud mobile phones with matched target number platforms from a preset cloud mobile phone pool according to the data acquisition task, wherein the cloud mobile phones comprise:
and selecting cloud mobile phones with the areas of the machine rooms corresponding to the target number of the cloud mobile phone pools matched with the area information from a preset cloud mobile phone pool.
3. An apparatus for gathering information, comprising:
an acquisition unit configured to acquire a data acquisition task for a target application;
the selecting unit is configured to select a cloud mobile phone with a matched target number platform from a preset cloud mobile phone pool according to the data acquisition task, wherein the matched cloud mobile phone is provided with the target application;
the acquisition unit is configured to execute a script matched with the data acquisition task on the selected cloud mobile phone so as to acquire data aiming at the target application;
and the statistics unit is configured to perform statistics processing on the acquired data to generate a processing result.
4. The device of claim 3, wherein the data acquisition task comprises area information for indicating an area where the cloud mobile phone is located; and
the pick unit is further configured to:
and selecting cloud mobile phones with the areas of the machine rooms corresponding to the target number of the cloud mobile phone pools matched with the area information from a preset cloud mobile phone pool.
5. 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 1-2.
6. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-2.
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