CN113626384A - Method and system for creating virtual storage unit in mobile terminal of mobile internet - Google Patents

Abstract

The invention discloses a method and a system for creating a virtual storage unit in a mobile terminal of a mobile internet, wherein the method comprises the steps of sending a data acquisition request to a user behavior server of the mobile internet; the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information; determining a plurality of data files with low relevance and a plurality of data files with non-low relevance; reading a storage record file in a first memory of the target mobile terminal and analyzing the storage record file to determine the storage size of each data file with low association degree and the storage size of each data file with non-low association degree; and calculating a file association coefficient of the target mobile terminal, and creating a virtual storage unit for each group in the first storage when the data state of the target mobile terminal is determined to be a low association data storage state.

Description

Method and system for creating virtual storage unit in mobile terminal of mobile internet

Divisional application

The application is a divisional application of a patent application with application number 201811231929X and invented name of 'method and system for creating virtual storage unit in mobile terminal of mobile internet', which is filed in 2018, 10, month and 22.

Technical Field

The present invention relates to the field of mobile internet, and more particularly, to a method and system for creating a virtual storage unit in a mobile terminal of mobile internet.

Background

Currently, with the development of mobile internet, more and more people use mobile terminals to perform data transmission, data storage, and the like. For this reason, the user may store a large number of data files in the mobile terminal. With the increase of the use time, the storage space of the mobile terminal becomes smaller and the operation efficiency is reduced due to more and more data files. For this reason, it is necessary to efficiently manage data files according to the characteristics of the data files in the mobile terminal. Since the physical addresses of the data files with the same or similar characteristics are not adjacent in the memory, a method for effectively processing the data files with the same or similar characteristics is needed.

Disclosure of Invention

According to an aspect of the present invention, there is provided a method of creating a virtual storage unit in a mobile terminal of a mobile internet, the method comprising:

the method comprises the steps that a data acquisition request is sent to a user behavior server of the mobile internet, the data acquisition request comprises an identifier and authentication information of a target mobile terminal in a plurality of mobile terminals in the mobile internet, the user behavior server verifies the authentication information, when the result of the verification of the authentication information of the target mobile terminal by the user behavior server is successful authentication, the user behavior server retrieves according to the identifier of the target mobile terminal to acquire user behavior information associated with the target mobile terminal, and the user behavior server sends the user behavior information associated with the target mobile terminal to the target mobile terminal;

the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, matches the summary information of each data file with each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijThe content relevance of the ith data file and the jth behavior feature is shown, wherein i, j, m and n are natural numbers, m is more than or equal to i and more than or equal to 1, n is more than or equal to j and more than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of the behavior features;

calculating the average value avg of all the content relevancy degrees of each data file_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iDetermining the data files with the relevance greater than or equal to the relevance threshold value as data files with non-low relevance, thereby determining a plurality of data files with low relevance and a plurality of data files with non-low relevance, and determining the number of the data files with low relevance and the number of the data files with non-low relevance;

acquiring a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal, determining effective operation information of each data file based on a current statistical data time period and the log record file, and determining the operation times of each data file with low association degree in the current statistical data time period and the operation times of each data file with non-low association degree in the current statistical time period according to the effective operation information of each data file;

reading a storage record file in a first memory of the target mobile terminal and analyzing the storage record file to determine the storage size of each data file with low association degree and the storage size of each data file with non-low association degree;

calculating a file association coefficient of the target mobile terminal based on the number of the data files with low association degree, the number of the data files with non-low association degree, the storage size of each data file with non-low association degree, the operation times of each data file with low association degree in the current statistical time period and the operation times of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers, LCN is more than or equal to k and more than or equal to 1, NLCN is more than or equal to l and more than or equal to 1, LCN is more than or equal to 100, NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1; for example, α is 0.45 and β is 0.55.

When the file association coefficient INT of the target mobile terminal is greater than the low association degree equipment threshold, determining that the data state of the target mobile terminal is a low association data storage state;

when the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

determining the number of groups Y for grouping the data files with low degree of association based on the number G of the data files with low degree of association in each group and the number LCN of the data files with low degree of association in the target mobile terminal,

dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

for each packet, creating a virtual memory location in the first memory for each packet by:

step 1.1, acquiring summary information of each data file with low association degree in a current group, and generating a directory file of the current group based on the summary information and an identifier of each data file with low association degree;

step 1.2, sorting the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

step 1.3, taking the currently grouped directory file as a head of queue file, and generating a one-way pointer which points to the data files with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

step 1.4, taking the data file with low relevance ordered as the 1 st bit in the current grouping list as the current data file;

step 1.5, generating a one-way pointer pointing to the data file with low relevance degree which is sequenced at 1 bit behind the current data file in the current grouping list from the current data file;

step 1.6, determining whether the current grouping list has data files with low association degree which are sorted at the position 2 bits behind the current data file, if so, taking the data files with low association degree which are sorted at the position 1 bit behind the current data file in the current grouping list as the current data file, and performing step 1.5; if not, step 1.7 is performed,

step 1.7, taking the data file with low association degree which is sequenced at 1 bit behind the current data file in the current grouping list as a queue tail file, thereby forming a unidirectional pointer queue from the queue head file of the current grouping to the queue tail file, and forming a virtual storage unit of the current grouping from the queue head file of the current grouping to the unidirectional pointer queue of the queue tail file, thereby creating a virtual storage unit in a first storage of the mobile terminal;

wherein the directory file and each data file with low association degree in the virtual storage unit of the current group are not adjacent in physical address, but belong to the same virtual storage unit logically.

The mobile internet is internally provided with a plurality of mobile terminals, and a target mobile terminal in the plurality of mobile terminals sends a data acquisition request to a user behavior server of the mobile internet;

the user behavior server is used for storing the respective user behavior information of each mobile terminal;

the authentication information includes one or more of password information, fingerprint information, face information, and voice information;

the user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal;

comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request;

when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

The respective user behavior information for each mobile terminal comprises a plurality of behavior characteristics associated with each mobile terminal, each behavior characteristic being a characteristic associated with the user behavior at the time of operation or use of the mobile terminal;

the matching of the content relevance between the summary information of each data file and each behavior feature in the plurality of behavior features comprises the following steps:

determining keywords of each data file based on the abstract information of each data file, and performing content association degree matching on the keywords of each data file and each behavior characteristic in a plurality of behavior characteristics;

alternatively, the first and second electrodes may be,

performing text matching on the summary information of each data file and each behavior feature in the plurality of behavior features to realize matching of content relevance;

alternatively, the first and second electrodes may be,

and semantically matching the abstract information of each data file with each behavior characteristic in the plurality of behavior characteristics to realize the matching of the content relevancy.

The relevance threshold is 45%, 50%, 60%, 70%, or 80%.

The log record file of each data file comprises a plurality of log records, and each log record is used for recording a running log of the data file, and each log record comprises: an identifier of the data file, a run start time, and a run end time.

Determining a current statistical data time period according to user input or determining the current statistical data time period according to system preset information;

wherein the current statistical data period is a period of time with a day previous to the current date as an end date and a specific date in the past as a start date, the current statistical data period including 12 natural days, 16 natural days, 25 natural days, or 35 natural days;

wherein the current statistical data time period is a period of time with an end time of an hour previous to the current hour and a start date of a particular hour in the past, the current statistical data time period comprising 60 hours, 90 hours, 120 hours, or 240 hours;

the current statistical data time period comprises a plurality of natural days, or the current statistical data time period comprises a plurality of hours.

Determining valid operational information for each data file based on the current statistical data time period and the log record file comprises:

selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file.

Determining the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period according to the effective operation information of each data file:

taking the number of log records in the effective information of each data file with low relevance as the running times of each data file with low relevance in the current statistical data time period;

and taking the number of log records in the effective information of each data file with the non-low relevance as the running times of each data file with the non-low relevance in the current statistical data time period.

The low association device threshold is 70, 80, 90, 100, 120, 150, 180, 200, or 300.

When any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, deleting all data files in the first virtual storage unit, and clearing the first virtual storage unit;

or

When a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file;

alternatively, the first and second electrodes may be,

when a first data file in a second virtual storage unit in a plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

Dividing the plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list comprises the following steps:

and according to the descending order of the average value of the content matching degrees in the sorted list, sequentially and circularly distributing each data file in the sorted list to Y groups from the data file with the maximum average value of the content matching degrees.

Dividing a plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and replacing the groups with the groups:

the plurality of low-relevancy data files are randomly allocated to the Y groups, so that the absolute value of the difference between the numbers of the low-relevancy data files included in any two of the Y groups is less than 2.

And the data files with low relevance ranked as 1 st bit in the current grouping list are the data files with low relevance with the maximum average value of the content matching degrees in the current grouping.

Also included is a second memory, the second memory being a random access memory and the first memory being a flash memory.

According to an aspect of the present invention, there is provided a system for creating a virtual storage unit in a mobile terminal of a mobile internet, the system comprising:

the mobile terminal comprises a target mobile terminal and a mobile internet, wherein the target mobile terminal sends a data acquisition request to a user behavior server of the mobile internet, and the data acquisition request comprises an identifier and authentication information of the target mobile terminal in a plurality of mobile terminals in the mobile internet;

the user behavior server verifies the authentication information, when the result of the verification of the authentication information of the target mobile terminal by the user behavior server is successful authentication, the user behavior server retrieves the authentication information according to the identifier of the target mobile terminal to acquire the user behavior information associated with the target mobile terminal, and the user behavior server sends the user behavior information associated with the target mobile terminal to the target mobile terminal;

the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, and matches the summary information of each data file with the content association degree of each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijThe content relevance of the ith data file and the jth behavior feature is shown, wherein i, j, m and n are natural numbers, m is more than or equal to i and more than or equal to 1, n is more than or equal to j and more than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of the behavior features;

calculating the average value avg of all the content relevancy degrees of each data file_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iDetermining the data files with the relevance greater than or equal to the relevance threshold value as data files with non-low relevance, thereby determining a plurality of data files with low relevance and a plurality of data files with non-low relevance, and determining the number of the data files with low relevance and the number of the data files with non-low relevance;

acquiring a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal, determining effective operation information of each data file based on a current statistical data time period and the log record file, and determining the operation times of each data file with low association degree in the current statistical data time period and the operation times of each data file with non-low association degree in the current statistical time period according to the effective operation information of each data file;

reading a storage record file in a first memory of the target mobile terminal and analyzing the storage record file to determine the storage size of each data file with low association degree and the storage size of each data file with non-low association degree;

calculating a file association coefficient of the target mobile terminal based on the number of the data files with low association degree, the number of the data files with non-low association degree, the storage size of each data file with non-low association degree, the operation times of each data file with low association degree in the current statistical time period and the operation times of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers, LCN is more than or equal to k and more than or equal to 1, NLCN is more than or equal to l and more than or equal to 1, LCN is more than or equal to 100, NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1; for example, α is 0.6 and β is 0.4.

When the file association coefficient INT of the target mobile terminal is greater than the low association degree equipment threshold, determining that the data state of the target mobile terminal is a low association data storage state;

when the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

determining the number of groups Y for grouping the data files with low degree of association based on the number G of the data files with low degree of association in each group and the number LCN of the data files with low degree of association in the target mobile terminal,

dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

a virtual memory location is created for each group in the first memory of the target mobile terminal.

The creating a virtual storage unit for each group in the first memory of the target mobile terminal comprises:

the target mobile terminal performs the following processing for each packet to create a virtual storage unit for each packet in the first memory

The target mobile terminal acquires the summary information of each data file with low association degree in the current group and generates a directory file of the current group based on the summary information and the identifier of each data file with low association degree;

the target mobile terminal sorts the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

the target mobile terminal takes the currently grouped directory file as a head of queue file, and generates a one-way pointer which points to the data file with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

the target mobile terminal takes the data files with low relevance ordered as the 1 st bit in the current grouping list as current data files;

the target mobile terminal generates a one-way pointer pointing to the data files with low relevance degree which are sequenced at 1 bit behind the current data files in the current grouping list from the current data files;

the target mobile terminal determines whether the current grouping list has data files with low association degree which are sequenced at 2 bits behind the current data files, if so, the data files with low association degree which are sequenced at 1 bit behind the current data files in the current grouping list are used as the current data files, and a one-way pointer which points from the current data files to the data files with low association degree which are sequenced at 1 bit behind the current data files in the current grouping list is repeatedly generated;

if not, then

The target mobile terminal takes the data files with low relevance degree which are sequenced at 1 bit behind the current data files in the current grouping list as queue tail files, so that a unidirectional pointer queue from the queue head files to the queue tail files of the current grouping is formed, the unidirectional pointer queue from the queue head files to the queue tail files of the current grouping forms virtual storage units of the current grouping, and therefore virtual storage units are created in a first storage of the mobile terminal;

wherein the directory file and each data file with low association degree in the virtual storage unit of the current group are not adjacent in physical address, but belong to the same virtual storage unit logically.

The mobile internet is internally provided with a plurality of mobile terminals, and a target mobile terminal in the plurality of mobile terminals sends a data acquisition request to a user behavior server of the mobile internet;

the user behavior server is used for storing the respective user behavior information of each mobile terminal;

the authentication information includes one or more of password information, fingerprint information, face information, and voice information;

the user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal;

comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request;

when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

The respective user behavior information for each mobile terminal comprises a plurality of behavior characteristics associated with each mobile terminal, each behavior characteristic being a characteristic associated with the user behavior at the time of operation or use of the mobile terminal;

the matching of the content relevance between the summary information of each data file and each behavior feature in the plurality of behavior features comprises the following steps:

determining keywords of each data file based on the abstract information of each data file, and performing content association degree matching on the keywords of each data file and each behavior characteristic in a plurality of behavior characteristics;

alternatively, the first and second electrodes may be,

performing text matching on the summary information of each data file and each behavior feature in the plurality of behavior features to realize matching of content relevance;

alternatively, the first and second electrodes may be,

and semantically matching the abstract information of each data file with each behavior characteristic in the plurality of behavior characteristics to realize the matching of the content relevancy.

The relevance threshold is 45%, 50%, 60%, 70%, or 80%.

The log record file of each data file comprises a plurality of log records, and each log record is used for recording a running log of the data file, and each log record comprises: an identifier of the data file, a run start time, and a run end time.

Determining a current statistical data time period according to user input or determining the current statistical data time period according to system preset information;

wherein the current statistical data period is a period of time with a day previous to the current date as an end date and a specific date in the past as a start date, the current statistical data period including 12 natural days, 16 natural days, 25 natural days, or 35 natural days;

wherein the current statistical data time period is a period of time with an end time of an hour previous to the current hour and a start date of a particular hour in the past, the current statistical data time period comprising 60 hours, 90 hours, 120 hours, or 240 hours;

the current statistical data time period comprises a plurality of natural days, or the current statistical data time period comprises a plurality of hours.

Determining valid operational information for each data file based on the current statistical data time period and the log record file comprises:

selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file.

Determining the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period according to the effective operation information of each data file:

taking the number of log records in the effective information of each data file with low relevance as the running times of each data file with low relevance in the current statistical data time period;

and taking the number of log records in the effective information of each data file with the non-low relevance as the running times of each data file with the non-low relevance in the current statistical data time period.

The low association device threshold is 70, 80, 90, 100, 120, 150, 180, 200, or 300.

When any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, deleting all data files in the first virtual storage unit, and clearing the first virtual storage unit;

or

When a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file;

alternatively, the first and second electrodes may be,

when a first data file in a second virtual storage unit in a plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

Dividing the plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list comprises the following steps:

and according to the descending order of the average value of the content matching degrees in the sorted list, sequentially and circularly distributing each data file in the sorted list to Y groups from the data file with the maximum average value of the content matching degrees.

Dividing a plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and replacing the groups with the groups:

the plurality of low-relevancy data files are randomly allocated to the Y groups, so that the absolute value of the difference between the numbers of the low-relevancy data files included in any two of the Y groups is less than 2.

And the data files with low relevance ranked as 1 st bit in the current grouping list are the data files with low relevance with the maximum average value of the content matching degrees in the current grouping.

Also included is a second memory, the second memory being a random access memory and the first memory being a flash memory.

Drawings

A more complete understanding of exemplary embodiments of the present invention may be had by reference to the following drawings in which:

fig. 1 is a flowchart of a method of creating a virtual storage unit in a mobile terminal of a mobile internet according to an embodiment of the present invention;

FIG. 2 is a flow diagram of a method of creating a virtual storage unit according to an embodiment of the present invention; and

fig. 3 is a schematic structural diagram of a system for creating a virtual storage unit in a mobile terminal of the mobile internet according to an embodiment of the present invention.

Detailed Description

In the present application, a virtual memory location refers to a virtual location consisting of multiple data files or multiple data or multiple files that are not adjacent in physical addresses of the memory, but logically belong to the same memory location. And this virtual unit is a virtual storage unit for data storage.

Fig. 1 is a flowchart of a method 100 for creating a virtual storage unit in a mobile terminal of a mobile internet according to an embodiment of the present invention. As shown in fig. 1, method 100 begins at step 101.

In step 101, a data acquisition request is sent to a user behavior server of the mobile internet, the data acquisition request includes an identifier and authentication information of a target mobile terminal in a plurality of mobile terminals in the mobile internet, the user behavior server verifies the authentication information, when the result of the verification of the authentication information of the target mobile terminal by the user behavior server is successful authentication, the user behavior server searches according to the identifier of the target mobile terminal to acquire user behavior information associated with the target mobile terminal, and the user behavior server sends the user behavior information associated with the target mobile terminal to the target mobile terminal.

The mobile internet is internally provided with a plurality of mobile terminals, and a target mobile terminal in the plurality of mobile terminals sends a data acquisition request to a user behavior server of the mobile internet. The user behavior server is used for storing the respective user behavior information of each mobile terminal. The authentication information includes one or more of password information, fingerprint information, face information, and voice information.

The user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal; comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request; when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

In step 102, the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, matches the content association degree between the summary information of each data file and each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijThe content association degree of the ith data file and the jth behavior feature is shown, wherein i, j, m and n are natural numbers, m is larger than or equal to i and larger than or equal to 1, n is larger than or equal to j and larger than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of the behavior features.

The respective user behavior information for each mobile terminal includes a plurality of behavior features associated with each mobile terminal, each behavior feature being a feature associated with a user behavior when the mobile terminal is operating or being used. The matching of the content relevance between the summary information of each data file and each behavior feature in the plurality of behavior features comprises the following steps: determining keywords of each data file based on the abstract information of each data file, and performing content association degree matching on the keywords of each data file and each behavior characteristic in a plurality of behavior characteristics; or text matching is carried out on the summary information of each data file and each behavior characteristic in the plurality of behavior characteristics so as to realize matching of content relevance; or semantically matching the summary information of each data file with each behavior feature in the plurality of behavior features to realize the matching of the content relevance.

In step 103, an average value avg of all content relevance degrees of each data file is calculated_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iThe data files with the relevance degree larger than or equal to the relevance degree threshold value are determined to be data files with non-low relevance degrees, so that a plurality of data files with low relevance degrees and a plurality of data files with non-low relevance degrees are determined, and the number of the data files with low relevance degrees and the number of the data files with non-low relevance degrees are determined. The relevance threshold is 45%, 50%, 60%, 70%, or 80%.

In step 104, a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal is obtained, effective operation information of each data file is determined based on the current statistical data time period and the log record file, and the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period are determined according to the effective operation information of each data file.

The log record file of each data file comprises a plurality of log records, and each log record is used for recording a running log of the data file, and each log record comprises: an identifier of the data file, a run start time, and a run end time.

The current statistical data time period is determined according to user input or is determined according to system preset information. Wherein the current statistical data period is a period of time in which a day previous to the current date is an end date and a specific date in the past is a start date, and the current statistical data period includes 12 natural days, 16 natural days, 25 natural days, or 35 natural days. Wherein the current statistical data period is a period of time with an end time of an hour previous to the current hour and a start date of a particular hour in the past, and the current statistical data period includes 60 hours, 90 hours, 120 hours, or 240 hours. The current statistical data time period comprises a plurality of natural days, or the current statistical data time period comprises a plurality of hours.

Determining valid operational information for each data file based on the current statistical data time period and the log record file comprises: selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file. Determining the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period according to the effective operation information of each data file: taking the number of log records in the effective information of each data file with low relevance as the running times of each data file with low relevance in the current statistical data time period; and taking the number of log records in the effective information of each data file with the non-low relevance as the running times of each data file with the non-low relevance in the current statistical data time period.

In step 105, reading a storage log file in a first memory of the target mobile terminal and parsing the storage log file to determine a storage size of each data file with low association degree and a storage size of each data file with non-low association degree.

In step 106, calculating a file association coefficient of the target mobile terminal based on the number of data files with low association degree, the number of data files with non-low association degree, the storage size of each data file with non-low association degree, the number of operations of each data file with low association degree in the current statistical time period, and the number of operations of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers, LCN is more than or equal to k and more than or equal to 1, NLCN is more than or equal to l and more than or equal to 1, LCN is more than or equal to 100, NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1.

In step 107, when the file association coefficient INT of the target mobile terminal is greater than the low association degree device threshold, it is determined that the data state of the target mobile terminal is a low association data storage state.

When the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

determining the number of groups Y for grouping the data files with low degree of association based on the number G of the data files with low degree of association in each group and the number LCN of the data files with low degree of association in the target mobile terminal,

dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

for each packet, creating a virtual memory location in the first memory for each packet by:

step 1.1, acquiring summary information of each data file with low association degree in a current group, and generating a directory file of the current group based on the summary information and an identifier of each data file with low association degree;

step 1.2, sorting the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

step 1.3, taking the currently grouped directory file as a head of queue file, and generating a one-way pointer which points to the data files with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

step 1.4, taking the data file with low relevance ordered as the 1 st bit in the current grouping list as the current data file;

step 1.5, generating a one-way pointer pointing to the data file with low relevance degree which is sequenced at 1 bit behind the current data file in the current grouping list from the current data file;

step 1.6, determining whether the current grouping list has data files with low association degree which are sorted at the position 2 bits behind the current data file, if so, taking the data files with low association degree which are sorted at the position 1 bit behind the current data file in the current grouping list as the current data file, and performing step 1.5; if not, step 1.7 is performed,

step 1.7, taking the data file with low association degree which is sequenced at 1 bit behind the current data file in the current grouping list as a queue tail file, thereby forming a unidirectional pointer queue from the queue head file of the current grouping to the queue tail file, and forming a virtual storage unit of the current grouping from the queue head file of the current grouping to the unidirectional pointer queue of the queue tail file, thereby creating a virtual storage unit in a first storage of the mobile terminal;

wherein the directory file and each data file with low association degree in the virtual storage unit of the current group are not adjacent in physical address, but belong to the same virtual storage unit logically.

When any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, deleting all data files in the first virtual storage unit, and clearing the first virtual storage unit. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

Dividing the plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list comprises the following steps: and according to the descending order of the average value of the content matching degrees in the sorted list, sequentially and circularly distributing each data file in the sorted list to Y groups from the data file with the maximum average value of the content matching degrees. Dividing a plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and replacing the groups with the groups: the plurality of low-relevancy data files are randomly allocated to the Y groups, so that the absolute value of the difference between the numbers of the low-relevancy data files included in any two of the Y groups is less than 2.

For example, the 11 data files with low relevance are sorted in descending order of the average value of the content matching degrees to generate a sorted list: data files 1, 39%, [ data files 2, 34% ], [ data files 3, 32% ], [ data files 4, 31% ], [ data files 5, 30% ], [ data files 6, 28% ], [ data files 7, 26% ], [ data files 8, 22% ], [ data files 9, 18% ], [ data files 10, 16% ], [ data files 11, 12% ]. The number of data files is numbered sequentially for illustrative purposes and may be virtually any data file name, such as a unique identifier for a data file. In the sorted list, the average value of the content matching degrees of the data files is 39%, 34%, …, 12% in descending order. For example, when the number G of packets is 3, 11 data files in the ordered list need to be allocated into 3 packets.

In the present application, 11 data files in the ordered list may be randomly allocated into 3 packets. Or according to the descending order of the average value of the content matching degrees in the sorted list, starting from the data file with the maximum average value of the content matching degrees, sequentially and circularly distributing each data file in the sorted list to G groups. That is, [ data file 1, 39% ] is assigned to the 1 st packet, [ data file 2, 34% ] is assigned to the 2 nd packet, [ data file 3, 32% ] is assigned to the 3 rd packet, [ data file 4, 31% ] is assigned to the 1 st packet, [ data file 5, 30% ] is assigned to the 2 nd packet, [ data file 6, 28% ] is assigned to the 3 rd packet, [ data file 7, 26% ] is assigned to the 1 st packet, [ data file 8, 22% ] is assigned to the 2 nd packet, [ data file 9, 18% ] is assigned to the 3 rd packet, [ data file 10, 16% ] is assigned to the 1 st packet, and [ data file 11, 12% ] is assigned to the 2 nd packet.

The current grouping list (1 st grouping list) of the 1 st grouping includes: data files 1, 39%, [ data files 4, 31%, [ data files 7, 26% ], data files 10, 16% ];

the current grouping list of the 2 nd grouping (the 2 nd grouping list) includes: data files 2, 34%, [ data files 5, 30% ], [ data files 8, 22% ], [ data files 11, 12% ];

the current grouping list of the 3 rd group (the 3 rd group list) includes: data files 3, 32%, [ data files 6, 28% ], and data files 9, 18% ].

The virtual storage units of group 1 are: a currently grouped directory file (i.e., a 1 st grouped directory file) → [ data file 1, 39% ] → [ data file 4, 31% ] → [ data file 7, 26% ] → [ data file 10, 16% ];

the virtual storage units of group 2 are: a currently grouped directory file (i.e., a directory file grouped 2) → [ data files 2, 34% ] → [ data files 5, 30% ] → [ data files 8, 22% ] → [ data files 11, 12% ];

the virtual storage units of group 3 are: the currently grouped directory files (i.e., the 3 rd grouped directory file) → [ data files 3, 32% ] → [ data files 6, 28% ] → [ data files 9, 18% ].

In the operation of the virtual storage units, when any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, all the data files in the first virtual storage unit are deleted, and the first virtual storage unit is cleared. For example, when the virtual storage unit of group 3, i.e., the data file 6 in the 3 rd virtual storage unit is deleted, the data file 3 and the data file 9 are deleted, and the directory file of group 3 is deleted, and the 3 rd virtual storage unit is cleared.

Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

For example, when the data file 7 in the 1 st group of virtual storage units, i.e., the 1 st virtual storage unit, is deleted, since the 1 st virtual storage unit has the data file 10 ordered after the data file 7 therein, the data file 10 is deleted, and the directory file of the 1 st group is updated. For example, when the group 2 virtual storage unit, i.e., the data file 11 in the 2 nd virtual storage unit is deleted, since there are data files in the 2 nd virtual storage unit that are ordered after the data file 11, all of the data files 2, 5, 8, and 11 are deleted, and the directory file in the group 2 is deleted, and the 2 nd virtual storage unit is cleared.

Wherein an absolute value of a difference between the numbers of the data files with low association degrees included in any two of the plurality of packets is less than 2, for example, 0 or 1.

And the data files with low relevance ranked as 1 st bit in the current grouping list are the data files with low relevance with the maximum average value of the content matching degrees in the current grouping. The target mobile terminal (or each mobile terminal) also comprises a second memory, wherein the second memory is a random access memory, and the first memory is a flash memory. The second memory is used as a memory for the processor to cache data. The first memory is a memory for storing data content and not losing content if the mobile terminal is turned off.

FIG. 2 is a flow diagram of a method 200 of creating a virtual memory unit according to an embodiment of the invention. As shown in FIG. 2, the method 200 proceeds as follows for each packet to create a virtual memory location in the first memory for each packet and begins at step 201.

In step 201, obtaining summary information of each data file with low association degree in the current group, and generating a directory file of the current group based on the summary information and the identifier of each data file with low association degree;

in step 202, sorting the data files with low relevance in the current grouping in a descending order according to the descending order of the average value of the content matching degrees to generate a current grouping list;

in step 203, the directory file of the current grouping is used as a head of queue file, and a one-way pointer which points from the directory file of the current grouping to the data file with low relevance ordered as the 1 st bit in the current grouping list is generated;

in step 204, the data files with low relevance ordered as 1 st bit in the current grouping list are used as current data files;

in step 205, generating a one-way pointer pointing from the current data file to the data file with low relevance ordered at 1 bit after the current data file in the current grouping list;

in step 206, determining whether the current grouping list has a data file with low association degree sorted at 2 bits after the current data file, if so, taking the data file with low association degree sorted at 1 bit after the current data file in the current grouping list as the current data file, and performing step 205; if not, then a step 207 is performed,

in step 207, the data files with low association degree which are sorted at the 1 st bit behind the current data file in the current grouping list are used as queue tail files, so that a unidirectional pointer queue from the queue head file to the queue tail file of the current grouping is formed, the unidirectional pointer queue from the queue head file to the queue tail file of the current grouping forms a virtual storage unit of the current grouping, and therefore a virtual storage unit is created in a first storage of the mobile terminal;

fig. 3 is a schematic structural diagram of a system 300 for creating a virtual storage unit in a mobile terminal of the mobile internet according to an embodiment of the present invention. The system 300 includes: a user behavior server 301 and a plurality of mobile terminals. The plurality of mobile terminals include: mobile terminal 302-1, mobile terminal 302-2, mobile terminal 302-3, mobile terminal 302-4. Wherein the mobile terminal 302-3 wishes to determine the data state and sends a data acquisition request to the user behavior server 301 of the mobile internet, thereby recognizing that the mobile terminal 302-3 is determined as a target mobile terminal. The data acquisition request includes an identifier and authentication information of a target mobile terminal among a plurality of mobile terminals in the mobile internet.

The user behavior server 301 verifies the authentication information, when the result of verifying the authentication information of the target mobile terminal by the user behavior server 301 is that the authentication is successful, the user behavior server 301 retrieves the identifier of the target mobile terminal to obtain the user behavior information associated with the target mobile terminal, and the user behavior server 301 sends the user behavior information associated with the target mobile terminal to the target mobile terminal.

The user behavior server is used for storing the respective user behavior information of each mobile terminal. The authentication information includes one or more of password information, fingerprint information, face information, and voice information.

The user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal; comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request; when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

In step 102, the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, matches the content association degree between the summary information of each data file and each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijThe content association degree of the ith data file and the jth behavior feature is shown, wherein i, j, m and n are natural numbers, m is larger than or equal to i and larger than or equal to 1, n is larger than or equal to j and larger than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of the behavior features.

The respective user behavior information for each mobile terminal includes a plurality of behavior features associated with each mobile terminal, each behavior feature being a feature associated with a user behavior when the mobile terminal is operating or being used. The matching of the content relevance between the summary information of each data file and each behavior feature in the plurality of behavior features comprises the following steps: determining keywords of each data file based on the abstract information of each data file, and performing content association degree matching on the keywords of each data file and each behavior characteristic in a plurality of behavior characteristics; or text matching is carried out on the summary information of each data file and each behavior characteristic in the plurality of behavior characteristics so as to realize matching of content relevance; or semantically matching the summary information of each data file with each behavior feature in the plurality of behavior features to realize the matching of the content relevance.

In step 103, an average value avg of all content relevance degrees of each data file is calculated_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iThe data files with the relevance degree larger than or equal to the relevance degree threshold value are determined to be data files with non-low relevance degrees, so that a plurality of data files with low relevance degrees and a plurality of data files with non-low relevance degrees are determined, and the number of the data files with low relevance degrees and the number of the data files with non-low relevance degrees are determined. The correlation threshold45%, 50%, 60%, 70% or 80%.

In step 104, a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal is obtained, effective operation information of each data file is determined based on the current statistical data time period and the log record file, and the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period are determined according to the effective operation information of each data file.

The log record file of each data file comprises a plurality of log records, and each log record is used for recording a running log of the data file, and each log record comprises: an identifier of the data file, a run start time, and a run end time.

The current statistical data time period is determined according to user input or is determined according to system preset information. Wherein the current statistical data period is a period of time in which a day previous to the current date is an end date and a specific date in the past is a start date, and the current statistical data period includes 12 natural days, 16 natural days, 25 natural days, or 35 natural days. Wherein the current statistical data period is a period of time with an end time of an hour previous to the current hour and a start date of a particular hour in the past, and the current statistical data period includes 60 hours, 90 hours, 120 hours, or 240 hours. The current statistical data time period comprises a plurality of natural days, or the current statistical data time period comprises a plurality of hours.

Determining valid operational information for each data file based on the current statistical data time period and the log record file comprises: selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file. Determining the operation times of each data file with low relevance in the current statistical data time period and the operation times of each data file with non-low relevance in the current statistical time period according to the effective operation information of each data file: taking the number of log records in the effective information of each data file with low relevance as the running times of each data file with low relevance in the current statistical data time period; and taking the number of log records in the effective information of each data file with the non-low relevance as the running times of each data file with the non-low relevance in the current statistical data time period.

In step 105, reading a storage log file in a first memory of the target mobile terminal and parsing the storage log file to determine a storage size of each data file with low association degree and a storage size of each data file with non-low association degree.

In step 106, calculating a file association coefficient of the target mobile terminal based on the number of data files with low association degree, the number of data files with non-low association degree, the storage size of each data file with non-low association degree, the number of operations of each data file with low association degree in the current statistical time period, and the number of operations of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers,LCN is more than or equal to k and more than or equal to 1 and NLCN is more than or equal to l and more than or equal to 1, wherein LCN is more than or equal to 100 and NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1.

In step 107, when the file association coefficient INT of the target mobile terminal is greater than the low association degree device threshold, it is determined that the data state of the target mobile terminal is a low association data storage state.

When the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

determining the number of groups Y for grouping the data files with low degree of association based on the number G of the data files with low degree of association in each group and the number LCN of the data files with low degree of association in the target mobile terminal,

dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

for each packet, creating a virtual memory location in the first memory for each packet by:

step 1.1, acquiring summary information of each data file with low association degree in a current group, and generating a directory file of the current group based on the summary information and an identifier of each data file with low association degree;

step 1.2, sorting the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

step 1.3, taking the currently grouped directory file as a head of queue file, and generating a one-way pointer which points to the data files with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

step 1.4, taking the data file with low relevance ordered as the 1 st bit in the current grouping list as the current data file;

step 1.5, generating a one-way pointer pointing to the data file with low relevance degree which is sequenced at 1 bit behind the current data file in the current grouping list from the current data file;

step 1.6, determining whether the current grouping list has data files with low association degree which are sorted at the position 2 bits behind the current data file, if so, taking the data files with low association degree which are sorted at the position 1 bit behind the current data file in the current grouping list as the current data file, and performing step 1.5; if not, step 1.7 is performed,

step 1.7, taking the data file with low association degree which is sequenced at 1 bit behind the current data file in the current grouping list as a queue tail file, thereby forming a unidirectional pointer queue from the queue head file of the current grouping to the queue tail file, and forming a virtual storage unit of the current grouping from the queue head file of the current grouping to the unidirectional pointer queue of the queue tail file, thereby creating a virtual storage unit in a first storage of the mobile terminal;

wherein the directory file and each data file with low association degree in the virtual storage unit of the current group are not adjacent in physical address, but belong to the same virtual storage unit logically.

When any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, deleting all data files in the first virtual storage unit, and clearing the first virtual storage unit. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

Dividing the plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list comprises the following steps: and according to the descending order of the average value of the content matching degrees in the sorted list, sequentially and circularly distributing each data file in the sorted list to Y groups from the data file with the maximum average value of the content matching degrees. Dividing a plurality of data files with low relevance degrees in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and replacing the groups with the groups: the plurality of low-relevancy data files are randomly allocated to the Y groups, so that the absolute value of the difference between the numbers of the low-relevancy data files included in any two of the Y groups is less than 2.

For example, the 11 data files with low relevance are sorted in descending order of the average value of the content matching degrees to generate a sorted list: data files 1, 39%, [ data files 2, 34% ], [ data files 3, 32% ], [ data files 4, 31% ], [ data files 5, 30% ], [ data files 6, 28% ], [ data files 7, 26% ], [ data files 8, 22% ], [ data files 9, 18% ], [ data files 10, 16% ], [ data files 11, 12% ]. The number of data files is numbered sequentially for illustrative purposes and may be virtually any data file name, such as a unique identifier for a data file. In the sorted list, the average value of the content matching degrees of the data files is 39%, 34%, …, 12% in descending order. For example, when the number G of packets is 3, 11 data files in the ordered list need to be allocated into 3 packets.

In the present application, 11 data files in the ordered list may be randomly allocated into 3 packets. Or according to the descending order of the average value of the content matching degrees in the sorted list, starting from the data file with the maximum average value of the content matching degrees, sequentially and circularly distributing each data file in the sorted list to G groups. That is, [ data file 1, 39% ] is assigned to the 1 st packet, [ data file 2, 34% ] is assigned to the 2 nd packet, [ data file 3, 32% ] is assigned to the 3 rd packet, [ data file 4, 31% ] is assigned to the 1 st packet, [ data file 5, 30% ] is assigned to the 2 nd packet, [ data file 6, 28% ] is assigned to the 3 rd packet, [ data file 7, 26% ] is assigned to the 1 st packet, [ data file 8, 22% ] is assigned to the 2 nd packet, [ data file 9, 18% ] is assigned to the 3 rd packet, [ data file 10, 16% ] is assigned to the 1 st packet, and [ data file 11, 12% ] is assigned to the 2 nd packet.

The current grouping list (1 st grouping list) of the 1 st grouping includes: data files 1, 39%, [ data files 4, 31%, [ data files 7, 26% ], data files 10, 16% ];

the current grouping list of the 2 nd grouping (the 2 nd grouping list) includes: data files 2, 34%, [ data files 5, 30% ], [ data files 8, 22% ], [ data files 11, 12% ];

the current grouping list of the 3 rd group (the 3 rd group list) includes: data files 3, 32%, [ data files 6, 28% ], and data files 9, 18% ].

The virtual storage units of group 1 are: a currently grouped directory file (i.e., a 1 st grouped directory file) → [ data file 1, 39% ] → [ data file 4, 31% ] → [ data file 7, 26% ] → [ data file 10, 16% ];

the virtual storage units of group 2 are: a currently grouped directory file (i.e., a directory file grouped 2) → [ data files 2, 34% ] → [ data files 5, 30% ] → [ data files 8, 22% ] → [ data files 11, 12% ];

the virtual storage units of group 3 are: the currently grouped directory files (i.e., the 3 rd grouped directory file) → [ data files 3, 32% ] → [ data files 6, 28% ] → [ data files 9, 18% ].

In the operation of the virtual storage units, when any data file in a first virtual storage unit in a plurality of virtual storage units is deleted, all the data files in the first virtual storage unit are deleted, and the first virtual storage unit is cleared. For example, when the virtual storage unit of group 3, i.e., the data file 6 in the 3 rd virtual storage unit is deleted, the data file 3 and the data file 9 are deleted, and the directory file of group 3 is deleted, and the 3 rd virtual storage unit is cleared.

Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, and if so, deleting the second file. Or when a first data file in a second virtual storage unit in the plurality of virtual storage units is deleted, determining whether a second data file ranked behind the first data file exists in the second virtual storage unit, if not, deleting all data files in the second virtual storage unit, and clearing the first virtual storage unit.

For example, when the data file 7 in the 1 st group of virtual storage units, i.e., the 1 st virtual storage unit, is deleted, since the 1 st virtual storage unit has the data file 10 ordered after the data file 7 therein, the data file 10 is deleted, and the directory file of the 1 st group is updated. For example, when the group 2 virtual storage unit, i.e., the data file 11 in the 2 nd virtual storage unit is deleted, since there are data files in the 2 nd virtual storage unit that are ordered after the data file 11, all of the data files 2, 5, 8, and 11 are deleted, and the directory file in the group 2 is deleted, and the 2 nd virtual storage unit is cleared.

Wherein an absolute value of a difference between the numbers of the data files with low association degrees included in any two of the plurality of packets is less than 2, for example, 0 or 1.

And the data files with low relevance ranked as 1 st bit in the current grouping list are the data files with low relevance with the maximum average value of the content matching degrees in the current grouping. The target mobile terminal (or each mobile terminal) also comprises a second memory, wherein the second memory is a random access memory, and the first memory is a flash memory. The second memory is used as a memory for the processor to cache data. The first memory is a memory for storing data content and not losing content if the mobile terminal is turned off.

Claims (8)

1. A method of creating a virtual storage unit in a mobile terminal of a mobile internet, the method comprising:

the method comprises the steps that a data acquisition request is sent to a user behavior server of the mobile internet, the data acquisition request comprises an identifier and authentication information of a target mobile terminal in a plurality of mobile terminals in the mobile internet, the user behavior server verifies the authentication information, when the result of the verification of the authentication information of the target mobile terminal by the user behavior server is successful authentication, the user behavior server retrieves according to the identifier of the target mobile terminal to acquire user behavior information associated with the target mobile terminal, and the user behavior server sends the user behavior information associated with the target mobile terminal to the target mobile terminal;

the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, matches the summary information of each data file with each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijFor the ith data file and the jth behavior featureThe content association degree of (1), wherein i, j, m and n are natural numbers, m is more than or equal to i and more than or equal to 1, n is more than or equal to j and more than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of behavior characteristics;

calculating the average value avg of all the content relevancy degrees of each data file_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iDetermining the data files with the relevance greater than or equal to the relevance threshold value as data files with non-low relevance, thereby determining a plurality of data files with low relevance and a plurality of data files with non-low relevance, and determining the number of the data files with low relevance and the number of the data files with non-low relevance;

acquiring a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal, determining effective operation information of each data file based on a current statistical data time period and the log record file, and determining the operation times of each data file with low association degree in the current statistical data time period and the operation times of each data file with non-low association degree in the current statistical time period according to the effective operation information of each data file;

reading a storage record file in a first memory of the target mobile terminal and analyzing the storage record file to determine the storage size of each data file with low association degree and the storage size of each data file with non-low association degree;

calculating a file association coefficient of the target mobile terminal based on the number of the data files with low association degree, the number of the data files with non-low association degree, the storage size of each data file with non-low association degree, the operation times of each data file with low association degree in the current statistical time period and the operation times of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers, LCN is more than or equal to k and more than or equal to 1, NLCN is more than or equal to l and more than or equal to 1, LCN is more than or equal to 100, NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1;

when the file association coefficient INT of the target mobile terminal is greater than the low association degree equipment threshold, determining that the data state of the target mobile terminal is a low association data storage state;

when the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

determining the number of groups Y for grouping the data files with low degree of association based on the number G of the data files with low degree of association in each group and the number LCN of the data files with low degree of association in the target mobile terminal,

dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

for each packet, creating a virtual memory location in the first memory for each packet by:

step 1.1, acquiring summary information of each data file with low association degree in a current group, and generating a directory file of the current group based on the summary information and an identifier of each data file with low association degree;

step 1.2, sorting the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

step 1.3, taking the currently grouped directory file as a head of queue file, and generating a one-way pointer which points to the data files with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

step 1.4, taking the data file with low relevance ordered as the 1 st bit in the current grouping list as the current data file;

step 1.5, generating a one-way pointer pointing to the data file with low relevance degree which is sequenced at 1 bit behind the current data file in the current grouping list from the current data file;

step 1.6, determining whether the current grouping list has data files with low association degree which are sorted at the position 2 bits behind the current data file, if so, taking the data files with low association degree which are sorted at the position 1 bit behind the current data file in the current grouping list as the current data file, and performing step 1.5; if not, step 1.7 is performed,

step 1.7, taking the data file with low association degree which is sequenced at 1 bit behind the current data file in the current grouping list as a queue tail file, thereby forming a unidirectional pointer queue from the queue head file of the current grouping to the queue tail file, and forming a virtual storage unit of the current grouping from the queue head file of the current grouping to the unidirectional pointer queue of the queue tail file, thereby creating a virtual storage unit in a first storage of the mobile terminal;

the directory file and each data file with low relevance in the virtual storage unit of the current group are not adjacent on the physical address, but belong to the same virtual storage unit logically;

wherein determining valid operational information for each data file based on the current statistical data time period and the log record file comprises:

selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file.

2. The method according to claim 1, wherein a plurality of mobile terminals are arranged in the mobile internet, and a target mobile terminal in the plurality of mobile terminals sends a data acquisition request to a user behavior server of the mobile internet;

the user behavior server is used for storing the respective user behavior information of each mobile terminal;

the authentication information includes one or more of password information, fingerprint information, face information, and voice information;

the user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal;

comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request;

when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

3. The method of claim 2, the respective user behavior information for each mobile terminal comprising a plurality of behavior characteristics associated with each mobile terminal, each behavior characteristic being a characteristic associated with user behavior when the mobile terminal is operational or in use;

the matching of the content relevance between the summary information of each data file and each behavior feature in the plurality of behavior features comprises the following steps:

determining keywords of each data file based on the abstract information of each data file, and performing content association degree matching on the keywords of each data file and each behavior characteristic in a plurality of behavior characteristics;

alternatively, the first and second electrodes may be,

performing text matching on the summary information of each data file and each behavior feature in the plurality of behavior features to realize matching of content relevance;

alternatively, the first and second electrodes may be,

and semantically matching the abstract information of each data file with each behavior characteristic in the plurality of behavior characteristics to realize the matching of the content relevancy.

4. The method of claim 3, the relevancy threshold being 45%, 50%, 60%, 70%, or 80%.

5. The method of claim 4, wherein the log record file for each data file comprises a plurality of log records, and each log record is for recording a running log of the data file, each log record comprising: an identifier of the data file, a run start time, and a run end time.

6. A system for creating a virtual storage unit in a mobile terminal of a mobile internet, the system comprising:

the mobile terminal comprises a target mobile terminal and a mobile internet, wherein the target mobile terminal sends a data acquisition request to a user behavior server of the mobile internet, and the data acquisition request comprises an identifier and authentication information of the target mobile terminal in a plurality of mobile terminals in the mobile internet;

the user behavior server verifies the authentication information, when the result of the verification of the authentication information of the target mobile terminal by the user behavior server is successful authentication, the user behavior server retrieves the authentication information according to the identifier of the target mobile terminal to acquire the user behavior information associated with the target mobile terminal, and the user behavior server sends the user behavior information associated with the target mobile terminal to the target mobile terminal;

the target mobile terminal analyzes the received user behavior information to determine a plurality of behavior characteristics included in the user behavior information, obtains summary information of each data file in a plurality of data files in the target mobile terminal, and matches the summary information of each data file with the content association degree of each behavior characteristic in the plurality of behavior characteristics to generate a plurality of association degree records, wherein each association degree record is < Ci1, Ci2, …, Cij, …, Cin >,

wherein C is_ijThe content relevance of the ith data file and the jth behavior feature is shown, wherein i, j, m and n are natural numbers, m is more than or equal to i and more than or equal to 1, n is more than or equal to j and more than or equal to 1, m is the number of data files in the target mobile terminal and n is the number of the behavior features;

calculating the average value avg of all the content relevancy degrees of each data file_iAverage value avg of content relevancy in a plurality of data files_iDetermining the data files with the relevance smaller than the relevance threshold value as the data files with low relevance, and averaging avg of the relevance of the contents in the plurality of data files_iDetermining the data files with the relevance greater than or equal to the relevance threshold value as data files with non-low relevance, thereby determining a plurality of data files with low relevance and a plurality of data files with non-low relevance, and determining the number of the data files with low relevance and the number of the data files with non-low relevance;

acquiring a log record file for recording an operation log of each data file in a plurality of data files in the target mobile terminal, determining effective operation information of each data file based on a current statistical data time period and the log record file, and determining the operation times of each data file with low association degree in the current statistical data time period and the operation times of each data file with non-low association degree in the current statistical time period according to the effective operation information of each data file;

reading a storage record file in a first memory of the target mobile terminal and analyzing the storage record file to determine the storage size of each data file with low association degree and the storage size of each data file with non-low association degree;

calculating a file association coefficient of the target mobile terminal based on the number of the data files with low association degree, the number of the data files with non-low association degree, the storage size of each data file with non-low association degree, the operation times of each data file with low association degree in the current statistical time period and the operation times of each data file with non-low association degree in the current statistical time period:

wherein INT is file association coefficient of target mobile terminal, LCN is number of data files with low association degree, NLCN is number of data files with non-low association degree, LCS_kFor the storage size of the kth data file of low relevance, NLCS_lThe storage size of the ith data file with non-low relevance is set; LCR_kThe number of times of operation of the kth data file with low relevancy in the current statistical time period, NLCR_lThe operation times of the ith data file with non-low relevance degree in the current statistical time period; wherein k and l are natural numbers, LCN is more than or equal to k and more than or equal to 1, NLCN is more than or equal to l and more than or equal to 1, LCN is more than or equal to 100, NLCN is more than or equal to 100; alpha is alpha>0,β>0 and α + β ═ 1;

when the file association coefficient INT of the target mobile terminal is greater than the low association degree equipment threshold, determining that the data state of the target mobile terminal is a low association data storage state;

when the data state of the target mobile terminal is determined to be a low-association data storage state, determining an average value of content association degrees of each data file with low association degrees, and sorting the data files with low association degrees according to a descending order of the average values of the content association degrees to generate a sorted list;

acquiring the application number AN of applications installed in a target mobile terminal, determining the number G of low-association data files in each group when the low-association data files are grouped based on the number m of data files in the target mobile terminal and the application number AN of the applications installed in the target mobile terminal,

and determining the grouping number Y for grouping the data files with low relevance based on the number G of the data files with low relevance in each grouping and the number LCN of the data files with low relevance in the target mobile terminal.

Dividing the plurality of data files with low relevance in the sorted list into Y groups according to the descending order of the average value of the content matching degrees in the sorted list, and sorting the data files with low relevance in each group in the Y groups according to the descending order of the average value of the content matching degrees;

creating a virtual memory location in a first memory of the target mobile terminal for each group;

wherein determining valid operational information for each data file based on the current statistical data time period and the log record file comprises:

selecting log records with the operation starting time and the operation ending time within the current statistical data time period from the plurality of log records of the log record file of each data file, so that the plurality of selected log records of each data file form effective operation information of each data file.

7. The system of claim 6 or 7, the creating a virtual memory location in the first memory of the target mobile terminal for each group comprising:

the target mobile terminal performs the following processing for each packet to create a virtual storage unit for each packet in the first memory

The target mobile terminal acquires the summary information of each data file with low association degree in the current group and generates a directory file of the current group based on the summary information and the identifier of each data file with low association degree;

the target mobile terminal sorts the data files with low association degree in the current grouping in a descending order according to the descending order of the average value of the content matching degree to generate a current grouping list;

the target mobile terminal takes the currently grouped directory file as a head of queue file, and generates a one-way pointer which points to the data file with low relevance ordered as the 1 st bit in the current grouping list from the currently grouped directory file;

the target mobile terminal takes the data files with low relevance ordered as the 1 st bit in the current grouping list as current data files;

the target mobile terminal generates a one-way pointer pointing to the data files with low relevance degree which are sequenced at 1 bit behind the current data files in the current grouping list from the current data files;

the target mobile terminal determines whether the current grouping list has data files with low association degree which are sequenced at 2 bits behind the current data files, if so, the data files with low association degree which are sequenced at 1 bit behind the current data files in the current grouping list are used as the current data files, and a one-way pointer which points from the current data files to the data files with low association degree which are sequenced at 1 bit behind the current data files in the current grouping list is repeatedly generated;

if the data files do not exist, the target mobile terminal takes the data files with low association degree which are sequenced at 1 bit behind the current data files in the current grouping list as the queue tail files, so that a one-way pointer queue from the queue head files to the queue tail files of the current grouping is formed, the one-way pointer queue from the queue head files to the queue tail files of the current grouping forms virtual storage units of the current grouping, and therefore the virtual storage units are created in a first memory of the mobile terminal;

wherein the directory file and each data file with low association degree in the virtual storage unit of the current group are not adjacent in physical address, but belong to the same virtual storage unit logically.

8. The system of claim 6, wherein a plurality of mobile terminals are provided in the mobile internet, and a target mobile terminal in the plurality of mobile terminals sends a data acquisition request to a user behavior server of the mobile internet;

the user behavior server is used for storing the respective user behavior information of each mobile terminal;

the authentication information includes one or more of password information, fingerprint information, face information, and voice information;

the user behavior server verifying the authentication information comprises:

the user behavior server acquires the stored authentication information associated with the target mobile terminal according to the identifier of the target mobile terminal;

comparing the stored authentication information associated with the target mobile terminal with the authentication information in the data acquisition request;

when the authentication information stored and associated with the target mobile terminal is the same as the authentication information in the data acquisition request, it is determined that the result of verifying the authentication information of the target mobile terminal is authentication success.

Images