A service quality evaluation method, electronic equipment and computer readable medium

Abstract

The application discloses a service quality evaluation method, comprising: constructing a score slice group according to time, the score slice group comprising a corresponding relationship between user space-time characteristics, service information and perception indexes; and scoring services corresponding to each score slice group by using a preset scoring rule. The technical scheme of the application can effectively depict real service use behaviors of users. In addition, by analyzing users corresponding to perception indexes in different dimensions through different perception indexes, a perception portrait of user service can be effectively determined. The application further provides an electronic device and a computer readable medium.

Description

Technical Field

[0001] This disclosure relates to the field of communication technology, and more specifically to a service quality evaluation method, electronic device, and computer-readable medium. Background Technology

[0002] QoE (Quality of Experience) refers to users' overall perception of the quality and performance of devices, networks, applications, and services. QoE scoring can assess users' overall evaluation of services, thereby optimizing network services. Currently, user perception is typically evaluated using statistical indicators, but this method is distorted and its representation of user experience is not ideal. Summary of the Invention

[0003] The main objective of this disclosure is to provide a service quality evaluation method, electronic device, and computer-readable medium to address the problem that the user-level perception characterization effect in the prior art is not ideal.

[0004] To achieve the above objectives, in a first aspect, embodiments of this disclosure provide a service quality evaluation method, including:

[0005] A scoring slice group is constructed based on time, and the scoring slice group includes the correspondence between user spatiotemporal characteristics, business information, and perception indicators;

[0006] The services corresponding to each of the aforementioned scoring slice groups are scored using preset scoring rules.

[0007] Optionally, the user's spatiotemporal characteristics include user identity identifier and location identifier.

[0008] Optionally, the user spatiotemporal characteristics further include a terminal identifier; the terminal identifier is used to describe at least the activation time of the user terminal corresponding to the user identity identifier.

[0009] Optionally, the business information includes a business category identifier and a business occurrence time identifier.

[0010] Optionally, the rating slice group includes at least one rating slice, and the step of constructing the rating slice group based on time includes:

[0011] The perception index is determined based on a preset correspondence between the rating slice and the perception index; wherein the rating slice includes at least one of the user's spatiotemporal characteristics and the business information;

[0012] Using the rating slices and the perception indicators, the rating slice group is constructed according to time.

[0013] Optionally, constructing the rating slice group based on time using the rating slice and the perception index includes:

[0014] For the rating slices within a preset time interval, the rating slices with the same spatiotemporal characteristics are sorted according to the time order of at least one of the business information and the time information corresponding to the terminal identifier, to obtain the rating slice group.

[0015] Optionally, the perception indicators include one or more of the following: webpage first-screen latency, downlink speed, downlink interaction latency, and message sending success rate. Optionally, after scoring the services corresponding to each of the preset scoring slice groups using preset scoring rules, the service quality evaluation method further includes:

[0016] The number of perception indicators corresponding to each of the scoring slice groups is determined. When the number of perception indicators exceeds one, the scores corresponding to each perception indicator are weighted and summed to determine the score of the business corresponding to the scoring slice group.

[0017] Secondly, embodiments of this disclosure provide an electronic device, including:

[0018] One or more processors;

[0019] A memory having stored one or more programs that, when executed by the one or more processors, cause the one or more processors to implement the method according to any one of the first aspects;

[0020] One or more I / O interfaces are connected between the processor and the memory and configured to enable information interaction between the processor and the memory.

[0021] Thirdly, embodiments of this disclosure provide a computer-readable storage medium having a computer program stored thereon, which, when executed by a processor, implements the method according to any one of the first aspects.

[0022] The business quality evaluation method provided in this disclosure, while determining the correspondence between user spatiotemporal characteristics, business information, and perception indicators in the scoring slice group, constructs the scoring slice group based on time, clarifying the user differences between different users. Based on this, the business corresponding to the scoring slice group is scored, effectively depicting the user's actual business usage behavior. Furthermore, by analyzing users corresponding to different perception indicators from different dimensions, it is possible to effectively determine the user's perception profile of the business. Attached Figure Description

[0023] The accompanying drawings are provided to further understand the present disclosure and form part of the specification. They are used together with the following detailed description to explain the present disclosure, but do not constitute a limitation thereof.

[0024] Figure 1 A flowchart of a service quality evaluation method provided in this embodiment of the disclosure;

[0025] Figure 2 A flowchart of some steps of a service quality evaluation method provided in this embodiment of the disclosure;

[0026] Figure 3 A schematic diagram of an electronic device provided in an embodiment of this disclosure. Detailed Implementation

[0027] The specific embodiments of this disclosure will be described in detail below with reference to the accompanying drawings. It should be understood that the specific embodiments described herein are for illustration and explanation only and are not intended to limit this disclosure.

[0028] As used in this disclosure, the term "and / or" includes any and all combinations of one or more of the related enumerated entries.

[0029] The terminology used in this disclosure is for the purpose of describing particular embodiments only and is not intended to limit the disclosure. As used in this disclosure, the singular forms “a” and “the” are also intended to include the plural forms, unless the context clearly indicates otherwise.

[0030] When the terms “comprising” and / or “made of” are used in this disclosure, they specify the presence of the said feature, integral, step, operation, element and / or component, but do not exclude the presence or addition of one or more other features, integrals, steps, operations, elements, components and / or groups thereof.

[0031] The embodiments described herein can be described with reference to plan views and / or cross-sectional views, using the ideal schematic diagrams of this disclosure. Therefore, the example illustrations may be modified according to manufacturing techniques and / or tolerances.

[0032] Unless otherwise specified, all terms used in this disclosure (including technical and scientific terms) have the same meaning as commonly understood by one of ordinary skill in the art. It will also be understood that terms such as those defined in commonly used dictionaries should be interpreted as having a meaning consistent with their meaning in the context of the relevant art and this disclosure, and will not be interpreted as having an idealized or overly formal meaning, unless expressly so specified in this disclosure.

[0033] Through repeated research, the inventors of this disclosure have discovered that in related technologies, the characterization of user perception based on statistical indicators is not ideal when solving the user perception evaluation problem. This is because user perception using statistical indicators can only reflect the average characteristics of multiple users and various services, failing to accurately represent the spatiotemporal characteristics, service usage, and perception of an individual user within a single service transaction. Therefore, user perception based on statistical indicators actually obscures the differences in user behavior, resulting in distorted user-level perception evaluation. Furthermore, user perception based on statistical indicators typically uses the same and fixed perception angle in a single perception. When the perception angle changes due to evolving needs, the aforementioned method cannot flexibly adapt to these changes, failing to provide a comprehensive user-level perception.

[0034] As a first aspect of this disclosure, embodiments of the present invention provide a service quality evaluation method, such as... Figure 1 As shown, the business quality evaluation method may include:

[0035] In step S110, a scoring slice group is constructed based on time. The scoring slice group includes the correspondence between user spatiotemporal characteristics, business information, and perception indicators.

[0036] In step S120, the services corresponding to each of the scoring slice groups are scored using preset scoring rules.

[0037] In terms of user perception, a user's perception of the services they use changes as they use and switch between devices, networks, applications, and services. Therefore, by describing user usage of devices, networks, and services over time and incorporating this into user perception considerations, operators can more accurately evaluate user perception. Thus, to better describe user behavior and clarify the differences in behavior among users, the service quality evaluation method provided in this disclosure constructs scoring slice groups based on time. By scoring these scoring slice groups, which describe user usage of devices, networks, and services over time, multi-dimensional user perception evaluation is achieved, thereby improving and optimizing production efficiency.

[0038] Typically, user perception is evaluated by assessing service usage metrics of a user group, such as service traffic consumed or service duration; or by evaluating network usage metrics for a specific network scenario, such as downlink speeds of cell or service area base stations. However, user characteristics are not constant over a given time period. Therefore, when using service usage data of a user group as the basis for evaluating user perception, this method ignores the service usage among different users and the spatiotemporal characteristics of user behavior during service duration. Similarly, when using network metrics for a specific scenario as the basis for user perception, it also ignores the service usage among different users. Therefore, to clarify the differences in user behavior and effectively evaluate user perception, the corresponding evaluation method should clearly define the spatiotemporal characteristics of users, service information, and the correspondence between perception metrics.

[0039] In this disclosure, user perception of a service and evaluation of its quality are achieved by rating the services corresponding to each of the rating slice groups. In an optional implementation, service categories can be determined based on the service information, and corresponding perception indicators can be determined based on these categories.

[0040] Optionally, the service classification may include: web browsing service, streaming media service, instant messaging service, and mobile game service; determining the corresponding perception indicator based on the service classification may include: when the service is classified as a web browsing service, the corresponding perception indicator may be the first screen latency, which can be used to determine the time elapsed from when the user initiates a browsing request to when all resources on the terminal's first screen are loaded; when the service is classified as a streaming media service, the corresponding perception indicator may be the downlink rate, which can be used to determine the downlink transmission rate of the streaming media service; when the service is classified as an instant messaging service, the corresponding perception indicator may be the message sending success rate, which can be used to determine the proportion of successfully sent messages in the instant messaging service to the total number of sent messages; when the service is classified as a mobile game service, the corresponding perception indicator may be the downlink interaction latency, which may be the round-trip time (RTT).

[0041] In this disclosure, as an optional implementation, the perception indicators corresponding to each of the scoring slice groups are scored according to a preset scoring standard. The perception indicators corresponding to different scoring slice groups may not be unique. As mentioned above, perception indicators may include at least one of the following: webpage first-screen latency, downlink speed, message sending success rate, and downlink interaction latency. Therefore, to make different perception indicators comparable and to facilitate service quality evaluation using the scoring slice groups, making perception indicators with different dimensions comparable, when scoring the scoring slice groups, the dimensions of the aforementioned perception indicators can be removed. Furthermore, when a scoring slice group corresponds to multiple perception indicators, the scores corresponding to the perception indicators can be weighted and summed to obtain a unique score used to describe the service corresponding to the scoring slice group. By determining a dimensionless and unique score for each scoring slice group, the above scores can better clarify the behavioral differences between different users.

[0042] In one optional implementation, the perception indicators include: webpage first-screen latency, downlink speed, downlink interaction latency, and message sending success rate; optionally, if the perception indicator is webpage first-screen latency, then when the webpage first-screen latency is less than 10ms, the score is 1; when it is greater than 500ms, the score is 0; other values ​​are scored within [10ms, 500ms], wherein the webpage first-screen latency and its corresponding score satisfy a linear relationship within [10ms, 500ms]; optionally, if the perception indicator is downlink speed, then when the downlink speed is less than 1Mbps, the score is 0; when it is greater than 20Mbps, the score is 1; other values ​​are scored within [1Mbps, 20Mbps], wherein the downlink speed and its corresponding score satisfy a linear relationship within [10ms, 500ms]; The corresponding scores satisfy a linear relationship within the range of [1Mbps, 20Mbps]. Optionally, if the perceived index is downlink interaction latency, then the score is 1 when the downlink interaction latency is less than 10ms, and 0 when it is greater than 500ms, with other values ​​scored within the range of [10ms, 500ms]. The downlink interaction latency and its corresponding score satisfy a linear relationship within the range of [10ms, 500ms]. Optionally, if the perceived index is message sending success rate, then the score is 0 when the message sending success rate is less than 90%, and 1 when it is greater than 99%, with other values ​​scored within the range of [90%, 99%]. The webpage first-screen latency and its corresponding score satisfy a linear relationship within the range of [90%, 99%].

[0043] In one optional implementation, when the rating slice group corresponds to multiple rating slices and each rating slice corresponds to more than one perception indicator, in order to make the ratings between different rating slice groups comparable, the ratings corresponding to each perception indicator are weighted and summed.

[0044] In this disclosure, no special limitation is made on how to perform step S110. As described above, the scoring slice group includes the correspondence between user spatiotemporal characteristics, business information, and perception indicators. Optionally, the user spatiotemporal characteristics include: identity identifier, location identifier, and terminal identifier; the business information includes business category identifier and business occurrence time identifier; the scoring slice group contains at least one scoring slice. Accordingly, the step of constructing the scoring slice group based on time, as follows... Figure 2 As shown, it may include:

[0045] In step S111, the perception index is determined according to the preset correspondence between the scoring slice and the perception index; wherein, the scoring slice includes at least one of the user spatiotemporal characteristics and the business information;

[0046] In step S112, the scoring slice group is constructed based on time using the scoring slice and the perception index.

[0047] In this disclosure, user perception is evaluated by clearly defining the correspondence between user spatiotemporal characteristics, business information, and perception indicators. Based on this, to clarify the differences between users, after obtaining identifiers including identity identifiers, location identifiers, terminal identifiers, business category identifiers, and business occurrence time identifiers, it is necessary to obtain the service usage of a single user to complete subsequent service quality evaluation. Therefore, after obtaining the above identifiers, it is necessary to sort the known scoring slices according to the chronological order of business information, the occurrence time of business information corresponding to the terminal identifier, and the activation time of the user's terminal, for items with the same spatiotemporal characteristics. One or more scoring slices that have completed the sorting constitute the service usage of a single user.

[0048] In this disclosure, no special limitation is made on how to obtain the preset correspondence between the scoring slice and the perception indicator. The scoring slice includes at least one of the user spatiotemporal characteristics and the business information. Optionally, the traffic detail record XDR database contains the correspondence between the user spatiotemporal characteristics or the business information and the perception indicator. Determining the perception indicator based on the preset correspondence between the scoring slice and the perception indicator may include obtaining the perception indicator corresponding to the user spatiotemporal characteristics or the business information in the traffic detail record XDR database based on at least one of the user spatiotemporal characteristics and the business information.

[0049] In one optional implementation, the scoring slice is determined by acquiring the user's identity identifier, location identifier, terminal identifier, service category identifier, and service occurrence time identifier from the traffic detail record (XDR) database, and then determining the scoring slice according to a preset correspondence. Optionally, after determining the scoring slice, the scoring slices with the same spatiotemporal characteristics are sorted according to the chronological order of the service occurrence time identifiers of the scoring slices to obtain the scoring slice group.

[0050] In one optional implementation, after obtaining the rating slice group, in order to determine which services the rating slice group specifically describes for the corresponding user, the services corresponding to the rating slice group are determined based on time. Typically, the time interval between the occurrence of services in rating slices corresponding to consecutive services is less than a preset threshold. Therefore, in this application, the services corresponding to the rating slice group can be determined by at least one of the occurrence times of multiple rating slices in the rating slice group and the user terminal activation time.

[0051] Optionally, the rating slices are determined to correspond to two discontinuous services by whether the time interval between two adjacent service occurrence times within the group is greater than a preset threshold. The duration of each service in the rating slice is determined based on the determination result. The rating slice group is formed by combining the service duration with the user's spatiotemporal characteristics and the service category identifier, and is used to describe the service usage of a single user.

[0052] For example, when the continuous service is active, the periodic sending and receiving of determination messages between the sender and receiver of the continuous service to determine the continued existence of the link can meet the above-mentioned service occurrence time interval condition; however, the time point when the same set of senders and receivers triggers disconnection and reconnection is usually after several failed determination message processes, and this process usually does not meet the above-mentioned service occurrence time interval condition.

[0053] In this disclosure, as an optional embodiment, after constructing the scoring slice group based on time, it may further include:

[0054] The user's spatiotemporal characteristics and business information in the rating slice group are retrieved from the corresponding database, and user perception analysis is performed on the user corresponding to the rating slice group based on the retrieval results.

[0055] Based on the user's spatiotemporal characteristics and business information in the scoring slice group, appropriate analysis dimensions are determined in a suitable database. By performing statistical analysis on these analysis dimensions individually or in combination, the evaluation of the user's perceived business quality can be based on multiple dimensions, which is beneficial for the delineation of diverse problems.

[0056] The score of the scoring slice group is determined based on the perception index corresponding to the business category identifier. Whether the business corresponding to the scoring slice group meets the requirements is determined by whether the score meets the preset threshold. Then, the scoring slice group that does not meet the requirements is obtained. The user spatiotemporal characteristics and the business information in the scoring slice group are obtained. The corresponding database is searched according to the user spatiotemporal characteristics and the business information. The search results are statistically analyzed to determine the statistical characteristics of the scoring slice group whose business quality does not meet the standards based on the dimensions of the search results.

[0057] In this disclosure, no special limitation is made on how to perform database retrieval using the user spatiotemporal characteristics and business information of the rating slice group. Optionally, the retrieval of one or more of the user spatiotemporal characteristics and business information in the rating slice group in the corresponding database may include:

[0058] The search is performed in business domain B based on the user identity identifier in the rating slice group;

[0059] The XDR (Traffic Detail Record) database is searched based on one or more of the location identifier and service duration in the scoring slice group.

[0060] The terminal identifier in the scoring slice group is used to retrieve data from the regional tracking code (TAC) database.

[0061] The service identifier in the scoring slice group is retrieved in the Deep Packet Inspection (DPI).

[0062] In one optional embodiment, the retrieval results for one or more of the user's spatiotemporal characteristics and service information in the corresponding database are not specifically limited. Optionally, the retrieval results in the service domain B may include: mobile subscriber international ISDN / PSTN number (MSISDN), user age, user gender, average revenue per user (ARPU), user membership level, etc.; the retrieval results in the traffic detail record (XDR) database may include: service date, service start and end time, service location, mobile subscriber MSISDN code, mobile device identification code (IMEI), service name, webpage first screen delay, downlink rate, downlink interaction latency, message sending success rate, etc.; the retrieval results in the area tracking code (TAC) database may include: mobile device identification code, user mobile phone brand, 5G service usage; and the retrieval results in the deep packet inspection (DPI) database may include service name, server type, service category, etc.

[0063] Based on this, the perception indicators can be pre-classified according to different perception indicators, so that different categories of perception indicators can be used to evaluate different user perceptions. At this time, database searches can be performed according to the rating slice groups based on the quality of the perception indicators, and the statistical differences in the search results between different categories of perception indicators can be compared.

[0064] For example, when the service category of the rating slice group is identified as streaming media service, it is determined whether the rating determined by the downlink rate corresponding to the service has a preset threshold; then, multiple rating slice groups whose downlink rates do not meet the preset threshold are obtained, and the user spatiotemporal characteristics corresponding to the rating slice group are used to search in the service domain B to obtain one or more of the user age, user gender, average income per user, user membership level, etc. corresponding to the rating slice group. The statistical characteristics of one or more of the user age, user gender, average income per user, user membership level, etc. corresponding to the rating slice group whose downlink rate does not meet the requirements are analyzed to evaluate the user perception of the users corresponding to the rating slice group.

[0065] Reference Figure 3 This disclosure provides an electronic device, which includes:

[0066] One or more processors 301;

[0067] The memory 302 stores one or more programs that, when executed by one or more processors, enable the one or more processors to implement any of the above-mentioned perimeter intrusion detection methods.

[0068] One or more I / O interfaces 303 are connected between the processor and the memory and configured to enable information exchange between the processor and the memory.

[0069] Among them, processor 301 is a device with data processing capabilities, including but not limited to central processing unit (CPU); memory 302 is a device with data storage capabilities, including but not limited to random access memory (RAM, more specifically SDRAM, DDR, etc.), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory (FLASH); I / O interface (read-write interface) 303 is connected between processor 301 and memory 302, and can realize information interaction between processor 301 and memory 302, including but not limited to data bus (Bus).

[0070] In some embodiments, the processor 301, memory 302, and I / O interface 303 are interconnected via a bus, and thus connected to other components of the computing device.

[0071] This embodiment also provides a computer-readable medium having a computer program stored thereon. When the program is executed by a processor, it implements the perimeter intrusion detection method provided in this embodiment. To avoid repetition, the specific steps of the corresponding perimeter intrusion detection method will not be repeated here.

[0072] Those skilled in the art will understand that all or some of the steps, systems, or apparatuses in the methods, systems, and apparatuses described above can be implemented as software, firmware, hardware, or suitable combinations thereof. In hardware implementations, the division between functional modules / units mentioned above does not necessarily correspond to the division of physical components; for example, a physical component may have multiple functions, or a function or step may be performed collaboratively by several physical components. Some or all physical components may be implemented as software executed by a processor, such as a central processing unit, digital signal processor, or microprocessor, or as hardware, or as an integrated circuit, such as an application-specific integrated circuit (ASIC). Such software may be distributed on a computer-readable medium, which may include computer storage media (or non-transitory media) and communication media (or transient media). As is known to those skilled in the art, the term computer storage media includes volatile and non-volatile, removable and non-removable media implemented in any method or technology for storing information (such as computer-readable instructions, data structures, program modules, or other data). Computer storage media include, but are not limited to, RAM, ROM, EEPROM, flash memory or other memory technologies, CD-ROM, digital versatile disc (DVD) or other optical disc storage, magnetic cartridges, magnetic tape, disk storage or other magnetic storage devices, or any other medium that can be used to store desired information and can be accessed by a computer. Furthermore, it is well known to those skilled in the art that communication media typically contain computer-readable instructions, data structures, program modules, or other data in modulated data signals such as carrier waves or other transmission mechanisms, and may include any information delivery medium.

[0073] It should be noted that, in this document, the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such a process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0074] Those skilled in the art will understand that although some embodiments described herein include certain features that are included in other embodiments but not others, combinations of features from different embodiments are meant to be within the scope of this embodiment and form different embodiments.

[0075] It is understood that the above embodiments are merely exemplary embodiments used to illustrate the principles of this disclosure, and this disclosure is not limited thereto. For those skilled in the art, various modifications and improvements can be made without departing from the spirit and substance of this disclosure, and these modifications and improvements are also considered to be within the scope of protection of this disclosure.

Claims

1. A business quality evaluation method, comprising: For each user, a rating slice group is constructed based on time. The rating slice group includes at least one rating slice and includes the correspondence between user spatiotemporal characteristics, business information, and perception indicators. The services corresponding to each of the aforementioned scoring slice groups are scored using preset scoring rules; The process involves retrieving one or more of the user's spatiotemporal characteristics and business information from the rating slice group in the corresponding database, and performing user perception analysis on the users corresponding to the rating slice group based on the retrieval results. Specifically, the rating of the rating slice group is determined based on the perception index corresponding to the business category identifier in the business information, and whether the business corresponding to the rating slice group meets the requirements is determined by whether the rating meets a preset threshold. For rating slice groups that do not meet the requirements, the corresponding database is retrieved based on the user's spatiotemporal characteristics and business information in the non-compliant rating slice group, and the retrieval results are statistically analyzed to determine the statistical characteristics of the non-compliant rating slice group based on the dimensions of the retrieval results, so as to evaluate the user perception of the users corresponding to the rating slice group.

2. The business quality evaluation method according to claim 1, wherein, The user's spatiotemporal characteristics include user identity identifier and location identifier.

3. The business quality evaluation method according to claim 2, wherein, The user spatiotemporal characteristics also include a terminal identifier; the terminal identifier is used to describe at least the activation time of the user terminal corresponding to the user identity identifier.

4. The business quality evaluation method according to any one of claims 1 to 3, wherein, The business information includes a business category identifier and a business occurrence time identifier.

5. The business quality evaluation method according to claim 4, wherein, The step of constructing a scoring slice group based on time includes: The perception index is determined based on a preset correspondence between the rating slice and the perception index; wherein the rating slice includes at least one of the user's spatiotemporal characteristics and the business information; Using the rating slices and the perception indicators, the rating slice group is constructed according to time.

6. The business quality evaluation method according to claim 5, wherein, The step of constructing the rating slice group based on time using the rating slices and the perception indicators includes: For the rating slices within a preset time interval, the rating slices with the same spatiotemporal characteristics are sorted according to the time order of at least one of the business information and the time information corresponding to the terminal identifier, to obtain the rating slice group.

7. The business quality evaluation method according to any one of claims 1 to 3, wherein, The perception metrics include one or more of the following: webpage first screen latency, downlink speed, downlink interaction latency, and message sending success rate.

8. The business quality evaluation method according to any one of claims 1 to 3, wherein, After scoring the services corresponding to each of the preset scoring slice groups using the preset scoring rules, the service quality evaluation method further includes: The number of perception indicators corresponding to each of the scoring slice groups is determined. When the number of perception indicators exceeds one, the scores corresponding to each perception indicator are weighted and summed to determine the score of the business corresponding to the scoring slice group.

9. An electronic device, comprising: One or more processors; A memory having stored one or more programs thereon, which, when executed by the one or more processors, cause the one or more processors to implement the method according to any one of claims 1 to 8; One or more I / O interfaces are connected between the processor and the memory and configured to enable information interaction between the processor and the memory.

10. A computer-readable storage medium having a computer program stored thereon, the program being executed by a processor to implement the method according to any one of claims 1 to 8.

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