WO2023051270A1

WO2023051270A1 - Memory occupation amount pre-estimation method and apparatus, and storage medium

Info

Publication number: WO2023051270A1
Application number: PCT/CN2022/119102
Authority: WO
Inventors: 冯旭; 邬春会; 赵光跃
Original assignee: 中兴通讯股份有限公司
Priority date: 2021-09-30
Filing date: 2022-09-15
Publication date: 2023-04-06
Also published as: CN115904859A

Abstract

Embodiments of the present invention relate to the field of data processing, and provide a memory occupation amount pre-estimation method and apparatus, and a storage medium. The method comprises: obtaining a plurality of pieces of unit data, and performing aggregation processing on the plurality of pieces of unit data to obtain a plurality of pieces of standard unit data; determining a memory occupation amount corresponding to each standard unit data; obtaining a data request message to be responded, and according to the data request message, determining target data to be obtained; determining, from the plurality of pieces of standard unit data, standard unit data matched with the target data; and according to the memory occupation amount corresponding to the standard unit data matched with the target data, pre-estimating an occupied memory capacity in response to the data request message.

Description

Memory usage estimation method, device and storage medium

technical field

The present invention relates to the technical field of data processing, in particular to a memory usage estimation method, device and storage medium.

Background technique

In some cases, terminal devices need to process a large number of data request messages, frequently read and write disks and perform corresponding interactive operations, which pose a great challenge to the stable operation and performance of the software system, and easily lead to overloaded operation of terminal devices . In order to avoid the overload of the terminal device, it is necessary to estimate the memory capacity to be occupied by the received data request message, and perform corresponding follow-up processing after the estimation. However, the amount of business data requested by different data request messages is different, and the data processing capabilities of terminal devices for different types of business data are also different. Therefore, it is accurate for related technologies to estimate the memory resources required by data request messages. Sex is not high.

Contents of the invention

Embodiments of the present invention provide a method, device, and storage medium for estimating memory usage, aiming at improving the accuracy of estimating the memory usage required by a data request message.

In the first aspect, an embodiment of the present invention provides a method for estimating memory usage, including: acquiring a plurality of unit data, and performing aggregation processing on the plurality of unit data to obtain a plurality of standard unit data; determining each of the The memory usage corresponding to the standard unit data; obtaining the data request message to be responded to, and determining the target data to be obtained according to the data request message; determining the standard matching the target data from a plurality of the standard unit data Unit data: Estimate the memory capacity occupied by responding to the data request message according to the memory usage corresponding to the standard unit data matching the target data.

In the second aspect, an embodiment of the present invention further provides a terminal device, the terminal device includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for implementing the processor A data bus communicating with the connection between the memories, wherein when the computer program is executed by the processor, the steps of any method for estimating memory usage provided by the embodiments of the present invention are realized.

In the third aspect, the embodiment of the present invention also provides a storage medium for computer-readable storage, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors , so as to realize the steps of any method for estimating memory usage provided by the embodiments of the present invention.

Description of drawings

FIG. 1 is a schematic flowchart of steps of a method for estimating memory usage provided by an embodiment of the present invention;

Fig. 2 is a schematic flow chart of the sub-steps of the memory usage estimation method in Fig. 1;

FIG. 3 is a schematic diagram of a scene implementing data aggregation provided by an embodiment of the present invention;

FIG. 4 is a schematic flowchart of steps of another method for estimating memory usage provided by an embodiment of the present invention;

FIG. 5 is a schematic structural block diagram of a terminal device provided by an embodiment of the present invention.

Detailed ways

The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are some of the embodiments of the present invention, but not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

The flow charts shown in the drawings are just illustrations, and do not necessarily include all contents and operations/steps, nor must they be performed in the order described. For example, some operations/steps can be decomposed, combined or partly combined, so the actual order of execution may be changed according to the actual situation.

It should be understood that the terminology used in the description of the present invention is for the purpose of describing particular embodiments only and is not intended to be limiting of the present invention. As used in this specification and the appended claims, the singular forms "a", "an" and "the" are intended to include plural referents unless the context clearly dictates otherwise.

Embodiments of the present invention provide a memory usage estimation method, device and storage medium. Wherein, the method for estimating memory usage can be applied to terminal equipment, and the terminal equipment can be electronic equipment such as mobile phones, tablet computers, notebook computers, desktop computers, personal digital assistants, and wearable equipment.

In some embodiments, the terminal device can be a network management system (Network Management System), which is used to adjust the network status by combining software and hardware to ensure that the network system can run normally and efficiently, so that the network system can The resources are better utilized, which is to realize the collection of various network management functions on the basis of the network management platform.

Some embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings. In the case of no conflict, the following embodiments and features in the embodiments can be combined with each other.

Please refer to FIG. 1 . FIG. 1 is a schematic flowchart of steps of a method for estimating memory usage provided by an embodiment of the present invention.

As shown in FIG. 1 , the memory usage estimation method includes steps S101 to S105.

Step S101 , acquiring a plurality of unit data, and performing aggregation processing on the plurality of unit data to obtain a plurality of standard unit data.

Among them, the unit data is the representation of various attributes of things that can be accepted and processed by computers, including integers, real numbers, characters, text, tables, graphics, images, and sounds. Multiple unit data can be the full amount of data in the network management system. Multiple unit data can include unit data with different data volumes and types. Therefore, selecting multiple universal and representative unit data from multiple unit data as standard unit data is beneficial for subsequent reference to standard unit data. The accuracy and efficiency of estimating the memory capacity occupied by the target data requested by the data request message.

Exemplarily, in the 5G ( ^5th Generation, fifth generation) network management system, the unit data can be 5GNR (5G New Radio, 5G new air interface), UMTS (Universal Mobile Telecommunications System, universal mobile communication system), GSM (Global System for Mobile Communications, Global System for Mobile Communications), LTE FDD (Long Term Evolution FDD, Long Term Evolution Frequency Division Duplex), NB IoT (Narrow Band Internet of Things, Narrowband Internet of Things) and other base station at least one business data .

In an embodiment, as shown in FIG. 2 , performing aggregation processing on a plurality of unit data to obtain a plurality of standard unit data includes: sub-step S1011 to sub-step S1012 .

Sub-step S1011, performing clustering processing on multiple unit data to obtain multiple unit data groups.

It should be noted that the data volume of unit data is different, and the data processing capabilities of terminal equipment for different types of unit data are also different. Unit data of the same type are aggregated to obtain multiple unit data groups, and the unit data groups include multiple unit data.

In an embodiment, clustering processing is performed on multiple unit data by using a preset clustering algorithm to obtain multiple unit data groups. Among them, the preset clustering algorithm includes but not limited to K-MEANS clustering algorithm, mean shift clustering algorithm, DBSCAN clustering algorithm, hierarchical clustering algorithm and Gaussian mixture model clustering algorithm, etc. Multiple unit data are first clustered by a preset clustering algorithm to obtain multiple data clusters, and multiple unit data in each data cluster are used as a unit data group.

Exemplarily, multiple unit data groups are obtained by clustering the multiple unit data through the preset K-MEANS clustering algorithm. For the network management system, the data of multiple units is the record data stored in the base station data of the whole network. The K value can be set optionally according to the type of base station and the specification of the base station. For example, K=the number N1 of the type of base station*the number N2 of the specification of the base station. The value of K is The grouping number of cell data groups.

As shown in Figure 3, multiple unit data include business data of various base stations such as 5GNR, GU, GSM, LTE, NB, etc. K central points (black in Figure 3 Shaded mark points), the K center points are virtual points, and the distance between multiple unit data and K center points is calculated; the center points corresponding to the shortest distance are selected as a group, and the center point of each group of unit data is recalculated ;Execute the process of grouping according to the distance between multiple unit data and the center point, and stop until the result of regrouping is consistent with the result of the last grouping, multiple unit data are divided into K categories, and K unit data are obtained group, the difference between multiple unit data in each unit data group is within a certain range.

It should be noted that the K value of the K-MEANS clustering algorithm can be set according to the actual situation of the software system on the terminal device. The K value is set with reference to the data, which is not specifically limited in this embodiment.

In an embodiment, the plurality of unit data are classified according to the data types of the plurality of unit data to obtain a plurality of unit data groups. Wherein, the unit data carries the tag information of the data type, and multiple unit data can be accurately classified according to the data type of the unit data, so that the unit data of the same data type are divided into a unit data group.

In an embodiment, the multiple unit data are classified according to the data types and data volumes of the multiple unit data to obtain multiple unit data groups. It should be noted that, according to the data type and data volume of multiple unit data, multiple unit data are classified, so that unit data with similar data volume and unit data with the same data type are divided into one unit data group, and multiple unit data are obtained. The unit data group is beneficial to subsequently determine the standard unit data from the unit data group, and improve the universality and representativeness of the standard unit data.

Sub-step S1012, perform aggregation processing on multiple unit data in the unit data group, so as to obtain standard unit data corresponding to the unit data group.

A secondary aggregation process is performed on the plurality of unit data in each unit data group, so as to select at least one unit data from the plurality of unit data in each unit data group as standard unit data. The process of selecting standard unit data can also be regarded as the process of data aggregation. After the standard unit data is determined, the standard unit data can be marked. The standard unit data is universal and representative in each unit data group, which is convenient for subsequent The memory capacity is estimated with reference to the standard unit data, which improves the accuracy of the estimation, and does not need to calculate or process all the unit data, thereby improving the estimation efficiency.

In one embodiment, a plurality of unit data in the unit data group is sorted to obtain a unit data queue; according to the arrangement order of the plurality of unit data in the unit data queue, at least one unit data is selected from the unit data queue as a standard cell data. Among them, multiple unit data are sorted in each unit data group, and standard unit data is selected from the sorted multiple unit data according to the preset quantiles and the arrangement order of the multiple unit data, and the standard unit data Can be one or more. The data structure of the standard unit data is uncertain, for example, the data structure of the base station data is a standard tree data, and the cell data is a node in the standard tree data.

It should be noted that the quantile is the quantile point, which is used to divide the sorted multiple unit data into multiple equal parts. The quantile is, for example, the median, that is, the 50th quantile. The number of bits can be flexibly set according to the actual situation of the unit data. By adjusting the quantile size to select standard unit data from multiple sorted unit data, the representativeness of standard unit data can be improved.

In one embodiment, the target service optimism is selected from the preset service optimism range; the corresponding target quantile is determined according to the selected target service optimism; according to the target quantile, the sorted multiple unit data Select the standard cell data. Among them, service optimism is used to characterize the size of the allowable error of the software system. The service optimism is proportional to the risk of the software system. There is a corresponding relationship between the service optimism and the quantile. The optional setting of the service optimism is 1-100, corresponding to the quantile 100-1, that is, the higher the service optimism, the lower the quantile, and the greater the tolerance error of the software system, the greater the throughput. The target service optimism can be set and selected by technicians according to the actual situation, and can also be determined after multiple experiments and adjustments. The service optimism can better balance the memory capacity required by the data request message in the embodiment of this application. estimation accuracy and efficiency.

Exemplarily, since the software system of the terminal device has high requirements on system stability and low service optimism, the target service optimism of 10 can be selected from the range of 1-100 service optimism; 90 points can be selected according to the target service optimism of 10 The quantile of the position is used as the target quantile; the unit data corresponding to the target quantile of the 90th quantile is selected from the sorted multiple unit data as the standard unit data.

In an embodiment, the multiple unit data in the unit data group are sorted according to the service characteristic data of the multiple unit data to obtain the unit data queue. Among them, the unit data can include service feature data, and the service feature data can be flexibly set according to the actual situation of the unit data. For example, if the unit data is base station data in the network management system, representative cell number information can be selected as the service feature data. For example, if the software system is an e-commerce system, etc., commodity prices may be selected as service feature data, which is not specifically limited in this embodiment.

Step S102, determining the memory usage corresponding to each standard unit data.

Link the standard unit data aggregated from the data with the memory capacity occupied by the standard unit data, for example, establish a linear model between the standard unit data and the memory usage, so that the data request message can be sent according to the memory usage corresponding to the standard unit data The memory capacity occupied by the corresponding target data is estimated to improve the accuracy of the estimation.

In an embodiment, the data volume of the standard unit data is obtained, and the data volume is used as the memory usage corresponding to the standard unit data. Wherein, the standard unit data information includes a data amount, and the data amount is used as the memory usage corresponding to the standard unit data, so that the memory usage corresponding to the standard unit data can be quickly determined.

In one embodiment, the standard unit data is loaded to obtain the memory usage corresponding to the standard unit data. Among them, the standard unit data is loaded into the software system of the terminal device, and the memory usage corresponding to the standard unit data is determined according to the change of the memory capacity after the standard unit data is loaded, which is more accurate.

In one embodiment, loading the standard unit data to obtain the memory usage corresponding to the standard unit data includes: repeatedly loading the standard unit data; when the total memory capacity occupied by the loaded standard unit data is greater than or equal to the preset When the capacity threshold is reached, stop loading the standard unit data; calculate the memory usage corresponding to the standard unit data according to the total memory capacity and the loading times of the standard unit data. Among them, the preset capacity threshold can be set according to the actual situation, for example, the preset capacity threshold is 70% or 80% of the total memory capacity of the terminal device, by repeatedly loading the same standard unit data, and according to the total memory capacity of the standard unit data Calculate the memory usage corresponding to a standard unit data based on the number of loading times, which is more in line with the actual situation, and the measurement accuracy of the memory capacity occupied by the standard unit data is higher.

Step S103, acquiring the data request message to be responded to, and determining the target data to be acquired according to the data request message.

Among them, there may be one or more data request messages, and the data request messages include a request message for data addition, a request message for data query, a request message for data modification, and a request message for data deletion. (request line), request header (header), blank line and request data. The target data to be acquired is determined according to the data request message, so that the memory capacity that the data request message will occupy after the terminal device responds to the data request message can be estimated based on the target data.

Exemplarily, the terminal device includes a network management system, and the network management system can accept data request messages sent by multiple base stations. When the terminal device receives multiple data request messages to be responded to, it determines the target data corresponding to each data request message. The target data is determined according to the identification information requested by the data request message. There may be one or more target data.

Step S104 , determining standard unit data matching the target data from a plurality of standard unit data.

Among them, the standard unit data, as representative unit data, can also be used to represent the target data, so it is necessary to determine the standard unit data that matches the target data, so that it is convenient to refer to the memory usage corresponding to the standard unit data to evaluate the target data. memory footprint.

In an embodiment, according to the data type and data volume of the target data, at least one standard unit data is selected from a plurality of standard unit data as the standard unit data matching the target data. For example, according to the data type and data volume of the target data, the matching degree between the target data and each standard unit data is calculated, and the standard unit data corresponding to the maximum matching degree is selected as the standard unit data matching the target data. It should be noted that, according to the data type and data volume of the target data, selecting at least one standard unit data with a similar data volume and the same data type can greatly improve the estimation of the memory usage required by the data request message. accuracy.

In one embodiment, the target data is added to a plurality of standard unit data to obtain a target data set; the target data set is clustered to obtain the clustering information of the target data; according to the clustering information of the target data, the target data is determined The standard unit data aggregated in one group is used as the standard unit data matching the target data.

Exemplarily, the distance between each data in the target data set is calculated, and multiple data in the target data set are clustered according to multiple distances; the closest distance to the target data is obtained from the clustering information of the target data The standard unit data of ; use the standard unit data with the closest distance as the standard unit data matching the target data.

Step S105 , estimating the memory capacity occupied by the response data request message according to the memory usage corresponding to the standard unit data matching the target data.

Wherein, there may be one or more target data, and one or more standard unit data matching each target data. The memory usage corresponding to multiple standard unit data matching the target data is added, and the total memory usage obtained is the memory capacity occupied by responding to the data request message.

In one embodiment, if there are multiple standard unit data matching the target data, the average value of the memory usage corresponding to the multiple standard unit data matching the target data is calculated, and based on the average value, it is estimated The amount of memory used in response to data request messages. Specifically, the average value corresponding to multiple target data is added, and the total memory usage obtained is the memory capacity occupied by the response data request message. Compared with the existing technology, the unit data is aggregated to obtain universal standard unit data, so that the memory capacity occupied by the response data request message can be estimated by referring to the memory usage corresponding to the standard unit data, which is extremely The accuracy and efficiency of the estimation are greatly improved.

In one embodiment, after estimating the memory capacity occupied by the response data request message, the remaining memory capacity is obtained to determine whether the memory capacity is greater than or equal to the remaining memory capacity; Filter out the target request message from the request message; generate a request message queue according to the target request message, and perform queuing operations on the request message queue. Wherein, the remaining memory capacity is the idle memory capacity of the terminal device, and the remaining memory capacity may be preset, or may be calculated by subtraction from the total memory capacity of the terminal device and the current memory capacity. Filter out target request messages according to the memory capacity corresponding to each data request message, for example, filter out a preset number of target request messages, or filter out target request messages with a memory capacity greater than the preset memory capacity, to reduce the processing pressure on terminal devices and avoid The software system is overloaded with processing.

It should be noted that if the memory capacity is greater than or equal to the remaining memory capacity, it will exceed the data processing capability of the software system of the terminal device and easily cause the software system to crash. Therefore, multiple target request messages can be selected from multiple data request messages to form The request message queue and the queuing operation of the request message queue can reduce the data processing pressure of the software system and ensure the stability of the software system.

The method for estimating the memory usage provided by the above embodiment obtains multiple standard unit data by acquiring multiple unit data and aggregates the multiple unit data; determines the memory usage corresponding to each standard unit data; obtains the pending Respond to the data request message, and determine the target data to be acquired according to the data request message; determine the standard unit data matching the target data from multiple standard unit data; according to the memory usage corresponding to the standard unit data matching the target data Quantity, to estimate the memory capacity occupied by responding to data request messages. Through the aggregation processing of unit data, universal standard unit data can be obtained, so that the memory capacity corresponding to the standard unit data can be referred to, and the memory capacity occupied by the response data request message can be estimated, which can greatly improve the data request. The memory footprint required by the message is estimated for accuracy.

Please refer to FIG. 4 , which is a schematic flowchart of steps of another method for estimating memory usage provided by an embodiment of the present invention.

As shown in FIG. 4 , the memory usage estimation method includes steps S201 to S206.

Step S201, acquiring a plurality of unit data, and performing aggregation processing on the plurality of unit data to obtain a plurality of standard unit data.

Among them, the data volume of unit data is different, and the data processing capabilities of terminal equipment for different types of unit data are also different. Unit data can be business data of various base stations such as 5GNR, UMTS, and GSMNB IoT. Select multiple universal and representative unit data from multiple unit data as standard unit data, without calculating or processing all unit data, and improve the efficiency of memory capacity estimation.

Step S202, determining the memory usage corresponding to each standard unit data.

Among them, the standard unit data aggregated from the data is associated with the memory capacity occupied by the standard unit data, so that the memory capacity occupied by the target data corresponding to the data request message can be estimated according to the memory occupation corresponding to the standard unit data, Improve forecast accuracy.

It should be noted that the memory usage corresponding to the standard unit data can be obtained directly from the standard unit data, and the speed of direct acquisition is faster; it can also be measured by loading the standard unit data into the software system of the terminal device, and the measured The accuracy is higher.

Step S203, acquiring the data request message to be responded to, and determining the target data to be acquired according to the data request message.

Wherein, the terminal device obtains multiple data request messages, and determines the target data corresponding to each data request message according to the multiple data request messages. The target data can be unit data to be responded, so that based on the target data and standard unit data, the After the terminal device responds to the multiple data request messages, the memory capacity that the target data will occupy.

Step S204, determining standard unit data that matches the target data from a plurality of standard unit data.

In an embodiment, the target data corresponding to each data request message is matched with a plurality of standard unit data, so as to determine the matching degree between each target data and each standard unit data; The matching degree between the standard unit data, and determine the matching standard unit data for each target data from multiple standard unit data. It is convenient to evaluate the memory usage corresponding to the target data by referring to the memory usage corresponding to the standard unit data.

Step S205, accumulating the memory usage corresponding to the standard unit data matching the target data to obtain the total memory usage.

The memory usage corresponding to the standard unit data matching multiple target data is accumulated to obtain the total memory usage, and the total memory usage is the memory capacity that will be occupied by the target data to be acquired.

In an embodiment, if there are multiple standard unit data matching each target data. Calculate the average value of memory usage corresponding to multiple standard unit data matching each target data, and the average value corresponds to the target data; accumulate the average values corresponding to multiple target data to obtain the total memory usage.

Step S206 , according to the total memory usage, estimate the memory capacity occupied by the response data request message.

In an embodiment, after the memory capacity to be occupied by the target data is acquired, the memory capacity may be adjusted to obtain the memory capacity to be occupied by the response data request message. Wherein, the adjustment coefficient or the adjustment formula may be set according to the actual situation, which is not specifically limited in this embodiment.

The method for estimating the memory usage provided by the above embodiment obtains multiple standard unit data by acquiring multiple unit data and aggregates the multiple unit data; determines the memory usage corresponding to each standard unit data; obtains the pending Response to the data request message, and determine the target data to be acquired according to the data request message; determine the standard unit data that matches the target data from multiple standard unit data; the memory usage corresponding to the standard unit data that matches the target data The amount is accumulated to obtain the total memory usage; according to the total memory usage, the memory capacity occupied by the response data request message is estimated. Through the aggregation processing of unit data, universal standard unit data can be obtained, so that the memory capacity corresponding to the standard unit data can be referred to, and the memory capacity occupied by the response data request message can be estimated, which can greatly improve the data request. The memory footprint required by the message is estimated for accuracy.

Referring to FIG. 5 , FIG. 5 is a schematic block diagram of a terminal device provided by an embodiment of the present invention.

As shown in FIG. 5, the terminal device 300 includes a processor 301 and a memory 302, and the processor 301 and the memory 302 are connected through a bus 303, such as an I2C (Inter-integrated Circuit) bus.

Specifically, the processor 301 is used to provide computing and control capabilities to support the operation of the entire terminal device. The processor 301 can be a central processing unit (Central Processing Unit, CPU), and the processor 301 can also be other general processors, digital signal processors (Digital Signal Processor, DSP), application specific integrated circuits (Application Specific Integrated Circuit, ASIC) ), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. Wherein, the general-purpose processor may be a microprocessor or the processor may be any conventional processor or the like.

Specifically, the memory 302 may be a Flash chip, a read-only memory (ROM, Read-Only Memory) disk, an optical disk, a U disk, or a mobile hard disk.

Those skilled in the art can understand that the structure shown in Figure 5 is only a block diagram of a partial structure related to the embodiment of the present invention, and does not constitute a limitation on the terminal equipment to which the embodiment of the present invention is applied. The specific terminal Devices may include more or fewer components than shown in the figures, or combine certain components, or have a different arrangement of components.

Wherein, the processor is configured to run a computer program stored in the memory, and implement any one of the methods for estimating memory usage provided by the embodiments of the present invention when executing the computer program.

In one embodiment, the processor is configured to run a computer program stored in the memory, and implement the following steps when executing the computer program: acquiring multiple unit data, and performing aggregation processing on the multiple unit data, Obtain a plurality of standard unit data; determine the memory usage corresponding to each of the standard unit data; obtain a data request message to be responded to, and determine the target data to be acquired according to the data request message; from a plurality of the standard unit Determining the standard unit data matching the target data in the data; estimating the memory capacity occupied by responding to the data request message according to the memory usage corresponding to the standard unit data matching the target data.

In an embodiment, when the processor implements the aggregation process on the plurality of unit data to obtain a plurality of standard unit data, it is used to implement: clustering the plurality of unit data to obtain A plurality of unit data groups; performing aggregation processing on the plurality of unit data in the unit data groups to obtain standard unit data corresponding to the unit data groups.

In one embodiment, when the processor implements the clustering process on the plurality of unit data to obtain a plurality of unit data groups, it is used to implement: through a preset clustering algorithm, cluster the plurality of unit data The unit data is clustered to obtain a plurality of unit data groups; or the plurality of unit data are classified according to the data types of the plurality of unit data to obtain a plurality of unit data groups.

In an embodiment, when the processor implements the aggregation processing of multiple unit data in the unit data group to obtain the standard unit data corresponding to the unit data group, it is used to implement: sorting a plurality of unit data in the unit data group to obtain a unit data queue; according to the arrangement order of the plurality of unit data in the unit data queue, select at least one unit data from the unit data queue as standard unit data.

In an embodiment, when the processor implements the determination of the memory usage corresponding to each of the standard unit data, it is configured to: obtain the data amount of the standard unit data, and use the data amount as The memory usage corresponding to the standard unit data; or loading the standard unit data to obtain the memory usage corresponding to the standard unit data.

In an embodiment, when the processor implements the loading of the standard unit data to obtain the memory usage corresponding to the standard unit data, it is configured to: repeatedly load the standard unit data; When the total memory capacity occupied by the loaded standard unit data is greater than or equal to the preset capacity threshold, stop loading the standard unit data; according to the total memory capacity and the loading times of the standard unit data, calculate The memory usage corresponding to the standard unit data.

In an embodiment, when the processor estimates the memory capacity occupied by responding to the data request message according to the memory usage corresponding to the standard unit data matching the target data, it is used to implement : Accumulate the memory usage corresponding to the standard unit data matching the target data to obtain the total memory usage; estimate the memory capacity occupied by responding to the data request message according to the total memory usage.

In an embodiment, after the processor implements the estimation of the memory capacity occupied by responding to the data request message according to the memory usage corresponding to the standard unit data matching the target data, the processor further uses Implementation: obtain the remaining capacity of the memory, and judge whether the memory capacity is greater than or equal to the remaining capacity of the memory; if the capacity of the memory is greater than or equal to the remaining capacity of the memory, then filter out the target request message from a plurality of the data request messages; according to The target request message generates a request message queue, and queues the request message queue.

It should be noted that those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the terminal device described above can refer to the corresponding process in the aforementioned embodiment of the method for estimating memory usage. This will not be repeated here.

An embodiment of the present invention also provides a storage medium for computer-readable storage, the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement the following: The steps of any method for estimating memory usage provided by the embodiments of the present invention.

Wherein, the storage medium may be an internal storage unit of the terminal device described in the foregoing embodiments, such as a hard disk or a memory of the terminal device. The storage medium may also be an external storage device of the terminal device, such as a plug-in hard disk equipped on the terminal device, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash card (Flash Card), etc.

Those of ordinary skill in the art can understand that all or some of the steps in the methods disclosed above, the functional modules/units in the system, and the device can be implemented as software, firmware, hardware, and an appropriate combination thereof. In a hardware implementation, the division between functional modules/units mentioned in the above description does not necessarily correspond to the division of physical components; for example, one physical component may have multiple functions, or one function or step may be composed of several physical components. Components cooperate to execute. Some or all of the 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 . Such software may be distributed on computer readable media, which may include computer storage media (or non-transitory media) and communication media (or transitory media). As known to those of ordinary skill in the art, the term computer storage media includes both volatile and nonvolatile media implemented in any method or technology for storage of information, such as computer readable instructions, data structures, program modules, or other data. permanent, removable and non-removable media. Computer storage media includes, but is not limited to, RAM, ROM, EEPROM, flash memory or other memory technology, CD-ROM, digital versatile disk (DVD) or other optical disk storage, magnetic cartridges, tape, magnetic disk storage or other magnetic storage devices, or can Any other medium used to store desired information and which can be accessed by a computer. In addition, as is well known to those of ordinary skill in the art, communication media typically embodies computer readable instructions, data structures, program modules, or other data in a modulated data signal such as a carrier wave or other transport mechanism, and may include any information delivery media .

The serial numbers of the above embodiments of the present invention are for description only, and do not represent the advantages and disadvantages of the embodiments. The above is only a specific embodiment of the present invention, but the protection scope of the present invention is not limited thereto. Any person familiar with the technical field can easily think of various equivalents within the technical scope disclosed in the present invention. Modifications or replacements shall all fall within the protection scope of the present invention. Therefore, the protection scope of the present invention should be based on the protection scope of the claims.

Claims

A method for estimating memory usage, including:

Acquiring a plurality of unit data, and performing aggregation processing on the plurality of unit data to obtain a plurality of standard unit data;

determining the memory usage corresponding to each of the standard unit data;

Obtain the data request message to be responded to, and determine the target data to be obtained according to the data request message;

determining standard unit data matching the target data from a plurality of standard unit data;

Estimating the memory capacity occupied by responding to the data request message according to the memory usage corresponding to the standard unit data matching the target data.
The method for estimating memory usage according to claim 1, wherein said aggregating said plurality of unit data to obtain a plurality of standard unit data comprises:

performing clustering processing on a plurality of unit data to obtain a plurality of unit data groups;

Aggregating multiple unit data in the unit data group to obtain standard unit data corresponding to the unit data group.
The method for estimating memory usage according to claim 2, wherein said performing clustering processing on a plurality of said unit data to obtain a plurality of unit data groups, comprising:

Perform clustering processing on a plurality of unit data through a preset clustering algorithm to obtain a plurality of unit data groups; or

Classifying the plurality of unit data according to the data types of the plurality of unit data to obtain a plurality of unit data groups.
The method for estimating memory usage according to claim 2, wherein said aggregating a plurality of unit data in said unit data group to obtain standard unit data corresponding to said unit data group comprises:

Sorting a plurality of unit data in the unit data group to obtain a unit data queue;

Selecting at least one unit data from the unit data queue as standard unit data according to the arrangement sequence of the plurality of unit data in the unit data queue.
The method for estimating memory usage according to any one of claims 1-4, wherein said determining the memory usage corresponding to each of said standard unit data includes:

Acquire the data volume of the standard unit data, and use the data volume as the memory usage corresponding to the standard unit data; or

Load the standard unit data to obtain the memory usage corresponding to the standard unit data.
The memory usage estimation method according to claim 5, wherein said loading the standard unit data to obtain the memory usage corresponding to the standard unit data comprises:

Repeatedly loading the standard cell data;

When the total memory capacity occupied by the loaded standard unit data is greater than or equal to a preset capacity threshold, stop loading the standard unit data;

Calculate the memory usage corresponding to the standard unit data according to the total memory capacity and the loading times of the standard unit data.
The method for estimating memory usage according to any one of claims 1-4, wherein the estimated response to the data request message is based on the memory usage corresponding to the standard unit data matching the target data The amount of memory used, including:

Accumulate the memory usage corresponding to the standard unit data matching the target data to obtain the total memory usage;

Estimate the memory capacity occupied by responding to the data request message according to the total memory usage.
The method for estimating memory usage according to any one of claims 1-4, wherein the estimated response to the data request message is based on the memory usage corresponding to the standard unit data matching the target data After the amount of memory used, it also includes:

Obtaining the remaining memory capacity, and judging whether the memory capacity is greater than or equal to the remaining memory capacity;

If the memory capacity is greater than or equal to the remaining capacity of the memory, then filter out the target request message from a plurality of the data request messages;

A request message queue is generated according to the target request message, and a queuing operation is performed on the request message queue.
A terminal device, wherein the terminal device includes a processor, a memory, a computer program stored on the memory and executable by the processor, and a computer program for realizing the connection between the processor and the memory A data bus for communication, wherein when the computer program is executed by the processor, the steps of the memory usage estimation method according to any one of claims 1 to 8 are implemented.
A storage medium for computer-readable storage, wherein the storage medium stores one or more programs, and the one or more programs can be executed by one or more processors to implement claims 1 to 8 The steps of any one of the method for estimating memory usage.