CN110119310A - Method for distributing system resource, device, computer readable storage medium and server - Google Patents

Abstract

The invention belongs to the technical field of computers, and in particular relates to a system resource allocation method, a device, a computer-readable storage medium and a server. The method receives a system resource allocation request sent by a terminal device, and extracts a task identifier of a system task from the system resource allocation request; obtains the system task in each preset data source according to the task identifier. System task information on the attribute dimension; under various preset system resource allocation modes, calculate the system resource allocation amount of the system task according to the system task information; select the optimal allocation mode from various system resource allocation modes , and allocate system resources to the system tasks according to the preferred allocation mode, where the preferred allocation mode is a system resource allocation mode with the largest amount of system resource allocation. The accuracy rate of system resource allocation results is greatly improved, time and effort are saved, and the efficiency of system resource allocation is greatly improved.

Description

System resource allocation method, device, computer readable storage medium and server

technical field

The invention belongs to the technical field of computers, and in particular relates to a system resource allocation method, a device, a computer-readable storage medium and a server.

Background technique

In the prior art, when allocating system resources for system tasks, it is often necessary to set up special staff to analyze the system tasks, and determine the amount of system resource allocation for the system tasks according to the analysis results. This method is heavily dependent on the work Based on the subjective experience of personnel, the accuracy of the final system resource allocation results is often low. Moreover, this method consumes a lot of human resources, is time-consuming and laborious, and is extremely inefficient.

Contents of the invention

In view of this, embodiments of the present invention provide a system resource allocation method, device, computer-readable storage medium, and server to solve the problems of low accuracy and extremely low efficiency of existing system resource allocation methods.

The first aspect of the embodiments of the present invention provides a method for allocating system resources, which may include:

receiving a system resource allocation request sent by the terminal device, and extracting a task identifier of a system task from the system resource allocation request;

Acquiring the system task information of the system task in each attribute dimension from each preset data source according to the task identifier;

In various preset system resource allocation modes, respectively calculate system resource allocation amounts of the system tasks according to the system task information;

Selecting a preferred allocation mode from various system resource allocation modes, and performing system resource allocation on the system task according to the preferred allocation mode, where the preferred allocation mode is a system resource allocation mode with the largest amount of system resource allocation.

A second aspect of the embodiments of the present invention provides a device for allocating system resources, which may include:

An allocation request receiving module, configured to receive a system resource allocation request sent by a terminal device, and extract a task identifier of a system task from the system resource allocation request;

A task information acquiring module, configured to acquire the system task information of the system task in each attribute dimension from each preset data source according to the task identifier;

A resource allocation amount calculation module, configured to separately calculate the system resource allocation amount of the system task according to the system task information under various preset system resource allocation modes;

An allocation mode selection module, configured to select a preferred allocation mode from various system resource allocation modes, and allocate system resources to the system tasks according to the preferred allocation mode, and the preferred allocation mode is the system with the largest amount of system resource allocation Resource allocation model.

A third aspect of the embodiments of the present invention provides a computer-readable storage medium, where the computer-readable storage medium stores computer-readable instructions, and when the computer-readable instructions are executed by a processor, the following steps are implemented:

receiving a system resource allocation request sent by the terminal device, and extracting a task identifier of a system task from the system resource allocation request;

Acquiring the system task information of the system task in each attribute dimension from each preset data source according to the task identifier;

In various preset system resource allocation modes, respectively calculate system resource allocation amounts of the system tasks according to the system task information;

Selecting a preferred allocation mode from various system resource allocation modes, and performing system resource allocation on the system task according to the preferred allocation mode, where the preferred allocation mode is a system resource allocation mode with the largest amount of system resource allocation.

A fourth aspect of the embodiments of the present invention provides a server, including a memory, a processor, and computer-readable instructions stored in the memory and operable on the processor, and the processor executes the computer-readable instructions. The following steps are implemented when reading instructions:

receiving a system resource allocation request sent by the terminal device, and extracting a task identifier of a system task from the system resource allocation request;

Acquiring the system task information of the system task in each attribute dimension from each preset data source according to the task identifier;

In various preset system resource allocation modes, respectively calculate system resource allocation amounts of the system tasks according to the system task information;

Selecting a preferred allocation mode from various system resource allocation modes, and performing system resource allocation on the system task according to the preferred allocation mode, where the preferred allocation mode is a system resource allocation mode with the largest amount of system resource allocation.

Compared with the prior art, the embodiment of the present invention has the following beneficial effects: the embodiment of the present invention replaces the manual allocation of system resources in the prior art by means of automatic processing, specifically, after receiving the terminal device After the system resource allocation request is sent, first extract the task ID of the system task from the system resource allocation request, and then automatically obtain the system task in each attribute dimension from each preset data source according to the task ID system task information, and in various preset system resource allocation modes, calculate the system resource allocation amount of the system task according to the system task information, and finally select the optimal allocation mode from various system resource allocation modes, And automatically allocate system resources to the system tasks according to the preferred allocation mode. Through the embodiment of the present invention, the method of automatic processing is used instead of relying on staff to manually allocate system resources in the prior art, getting rid of the dependence on the subjective experience of staff, and greatly improving the accuracy of system resource allocation results. And it does not require a lot of manpower input, saves time and effort, and greatly improves the efficiency of system resource allocation.

Description of drawings

In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the accompanying drawings that need to be used in the descriptions of the embodiments or the prior art. Obviously, the accompanying drawings in the following description are only of the present invention. For some embodiments, those skilled in the art can also obtain other drawings according to these drawings without paying creative efforts.

FIG. 1 is a flowchart of an embodiment of a method for allocating system resources in an embodiment of the present invention;

FIG. 2 is a schematic diagram of system resource allocation for system tasks;

Fig. 3 is a schematic flowchart of obtaining system task information of system tasks in each attribute dimension in each data source;

FIG. 4 is a schematic flowchart of calculating the system resource allocation amounts of system tasks respectively under various preset system resource allocation modes;

FIG. 5 is a schematic diagram of task set division for historical tasks;

FIG. 6 is a structural diagram of an embodiment of a system resource allocation device in an embodiment of the present invention;

Fig. 7 is a schematic block diagram of a server in an embodiment of the present invention.

Detailed ways

In order to make the purpose, features and advantages of the present invention more obvious and understandable, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the following The described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

Referring to Fig. 1, an embodiment of a system resource allocation method in an embodiment of the present invention may include:

Step S101, receiving a system resource allocation request sent by a terminal device, and extracting a task identifier of a system task from the system resource allocation request.

The user can send a system resource allocation request to the server through his own terminal device, so that the server can allocate system resources for the system task corresponding to the user in the system resource pool preset by the server. For example, in the scenario where a user applies for a loan from a financial institution, all available loan funds provided by the financial institution can be regarded as a system resource pool, and the user's loan application behavior can be regarded as a system task to be allocated system resources, such as Figure 2 shows.

Each system task has a unique task identifier corresponding to it, and the task identifier can be the user's ID card number, mobile phone number, social security number, provident fund number or driver's license number, etc.

After the server receives the system resource allocation request, it can extract the task identifier of the system task therefrom.

Step S102. Acquire the system task information of the system task in each attribute dimension from each preset data source according to the task identifier.

Each system task is very different. In order to characterize these differences between each system task, in this embodiment, a complete system task can be constructed through system task information on multiple different attribute dimensions, how many attribute dimensions are used specifically, and Which attribute dimensions are used can be set according to the actual situation.

In a specific implementation, this solution can use various personal information of users as the attribute dimensions of system tasks. For example, each system task can be divided into attributes such as insurance, mortgage, private car, provident fund, monthly income, etc. dimension.

Each attribute dimension can be divided into multiple sub-dimensions according to the actual situation. For example, the attribute dimension of insurance can be divided into the two sub-dimensions of paid years and annual premium value; the attribute dimension of housing loan can be divided into the number of months of repayment and the sub-dimensions of housing loan monthly repayment; the attribute dimension of private car can be divided into two sub-dimensions of car price and car age; the attribute dimension of provident fund can be divided into the sub-dimension of provident fund payment base; the sub-dimension of monthly income The attribute dimension can be divided into two sub-dimensions: income type (salary family, self-employed/boss, etc.) and monthly income.

In order to be able to allocate reasonable system resources for the system tasks to be processed according to the specific actual situation, the server first needs to obtain the system task information on each attribute dimension of the system task, and use the information on these attribute dimensions as the basis for allocating system resources .

In a specific implementation of this embodiment, the information can be obtained in the form of a questionnaire. For example, the server can automatically generate a corresponding electronic questionnaire according to the information to be obtained. The questionnaire includes several questions, each Questions correspond to an attribute dimension or subdimension of system tasks. The server will send the questionnaire to the user's terminal device or the terminal device of the user's account manager. The user only needs to answer these questions briefly, and the server can extract the required information from it.

In another specific implementation of this embodiment, the information can also be obtained from various data sources storing the user's personal information through the process shown in Figure 3 under the condition of obtaining the user's authorization:

Step S1021, sending a data authorization request to the terminal device.

The data authorization request includes the device identifier of the server, and the device identifier is an identifier uniquely representing the server.

Step S1022, receiving the data authorization information fed back by the terminal device.

After the user's terminal device receives the data authorization request, it will record the device identification of the server, and feed back the user's data authorization information to the execution server, and the data authorization information carries the user's number sign.

Step S1023, selecting the server corresponding to the srth data source from the preset server list as the data server.

Wherein, each data source corresponds to system task information in at least one attribute dimension, and these data sources include but are not limited to household registration management agencies, labor force management agencies, industry and commerce administration agencies, and so on. The server list records the corresponding relationship between each data source and each server, 1≤sr≤SourceNum, SourceNum is the total number of data sources, as shown in the following table:

data source server (IP address) data source 1 168.108.32.7 data source 2 168.17.86.19 data source 3 168.8.20.68 data source 4 168.59.48.93

Step S1024, sending a data request to the data server.

The data request includes the task identifier and the data authorization information, and also includes the device identifier of the server.

Step S1025, receiving the system task information of the system task sent by the data server.

After receiving the data request, the data server checks the data authorization information to confirm the authenticity of the digital signature, and if the check is correct, finds the system task ID in the local database according to the task identifier. system task information, and send the system task information of the system task to the execution server.

Through the above process, on the premise of obtaining the user's authorization, the user's information is obtained from each data server, which ensures the security of the user's information.

After obtaining the system task information of the system task to be processed in the above attribute dimensions, the server can construct the information as a task information vector of the system task, as follows:

TskInfoVec＝(SbDimInfo ₁ ,SbDimInfo ₂ ,...,SbDimInfo _dn ,...,SbDimInfo _DN )

Among them, dn is the serial number of each attribute dimension, 1≤dn≤DN, DN is the total number of each attribute dimension, SbDimInfo _dn is the system task information of the system task on the dn attribute dimension, TskInfoVec is the task of the system task information vector.

Step S103 , under various preset system resource allocation modes, respectively calculate the system resource allocation amounts of the system tasks according to the system task information.

In this embodiment, system resource allocation can be divided into a variety of different system resource allocation modes, and each system resource allocation mode can correspond to a loan product. For example, system resource allocation modes include but are not limited to new loan, Specific models such as policy loans, small consumer loans, car loans, emergency wallets, credit wallets, etc.

In this embodiment, the total number of various system resource allocation modes is recorded as TypeNum, and TypeNum is an integer greater than 1, and these system resource allocation modes are performed according to the serial numbers of 1, 2, 3, ..., tn, ..., TypeNum label, where 1≤tn≤TypeNum.

For the same system task, if different system resource allocation modes are adopted, the final allocated system resource amount may be different. The system resource allocation amount of the system task, the specific process is shown in Figure 4:

Step S1031 , respectively acquiring resource allocation records of each historical task in the tnth system resource allocation mode from a preset historical database.

The core idea of system resource allocation in this embodiment is based on big data analysis of system resource allocation of historical tasks, and the system resource allocation of historical tasks is used as the basis for system resource allocation of current system tasks.

In this embodiment, a historical database is preset to record the resource allocation of each historical task. The resource allocation record of each historical task includes two parts. The first part is the historical task information of the historical task, which can be The task information is stored in the form of a vector, and the second part is the historical resource allocation amount of the historical task.

Step S1032. Divide each historical task into CN levels according to the historical resource allocation amount.

In this embodiment, the allocation of system resources assigned to the system tasks is divided into CN levels, and these levels are labeled according to the serial numbers of 1, 2, 3, ..., cn, ..., CN, where 1≤cn ≤CN, CN is an integer greater than 1. Each level corresponds to a set system resource allocation interval range. For example, CN=5 can be set, where the system resource allocation interval range corresponding to level 1 is 0 to 1 resource unit, and the system resource allocation amount corresponding to level 2 is 0 to 1 resource unit. The amount is 1 to 2 resource units, ..., the system resource amount corresponding to level 5 is 4 to 5 resource units, and one resource unit can be equivalent to a loan amount of 10,000 yuan. Of course, other similar level correspondences may also be set according to actual conditions, which are not specifically limited here.

Step S1033 , according to the system task information and the historical task information of each historical task, respectively calculate the degree of difference between the system task and the historical tasks of each level.

First, as shown in Figure 5, historical tasks at the cnth level can be divided into a first task set, a second task set, and a third task set, the first task set includes each historical task whose system resources have been recovered , the second task set includes various historical tasks that system resources are in use, and the third task set includes various historical tasks that system resources have been depleted.

The task information vector of each historical task in the first task set is recorded as:

FsHsVec _fn,cn ＝(FsHsInfo _fn,cn,1 ,FsHsInfo _fn,cn,2 ,...,FsHsInfo _fn,cn,dn ,...,FsHsInfo _fn,cn,DN )

Wherein, fn is the serial number of each historical task in the first data set, 1≤fn≤FN _cn , FN _cn is the total number of historical tasks in the first task set of the cnth level, FsHsInfo _fn,cn,dn is the The historical task information of the fnth historical task in the first task set of the cn level on the dn attribute dimension, FsHsVec _fn,cn is the task information vector of the fnth historical task in the first task set of the cn level .

The task information vector of each historical task in the second task set is recorded as:

SdHsVec _sn,cn ＝(SdHsInfo _sn,cn,1 ,SdHsInfo _sn,cn,2 ,...,SdHsInfo _sn,cn,dn ,...,SdHsInfo _sn,cn,DN )

Wherein, sn is the serial number of each historical task in the second data set, 1≤sn≤SN _cn , SN _cn is the total number of historical tasks in the second task set of the cnth level, SdHsInfo _sn,cn,dn is the SdHsVec _sn,cn is the task information vector of the sn th historical task in the second task set of the cn level .

The task information vector of each historical task in the third task set is recorded as:

TdHsVec _rn,cn ＝(TdHsInfo _rn,cn,1 ,TdHsInfo _rn,cn,2 ,...,TdHsInfo _rn,cn,dn ,...,TdHsInfo _rn,cn,DN )

Wherein, rn is the sequence number of each historical task in the third data set, 1≤rn≤RN _cn , RN _cn is the total number of historical tasks in the third task set of the cnth level, TdHsInfo _rn,cn,dn is the The historical task information of the rnth historical task in the third task set of the cn level on the dn attribute dimension, TdHsVec _rn,cn is the task information vector of the sn th historical task in the third task set of the cn level .

Then, respectively calculate the degree of difference between the system task and each task set according to the system task information and the historical task information of each historical task.

For example, the degree of difference between the system task and each task set can be calculated according to the following formula:

Wherein, FsDis _cn is the degree of difference between the system task and the first task set, SdDis _cn is the difference between the system task and the second task set, and TdDis _cn is the difference between the system task and the second task set. The degree of difference between the third task sets.

Finally, the degree of difference between the system task and the historical task of the cnth level is calculated according to the following formula:

Dis _cn ＝Coef ₁ ×FsDis _cn +Coef ₂ ×SdDis _cn +Coef ₃ ×TdDis _cn

Among them, Coef ₁ , Coef ₂ , and Coef ₃ are preset weight coefficients, and satisfy: Dis _cn is the degree of difference between the system task and the historical task of the cnth level. It can be seen that different task sets have the same degree of influence on the final result. The specific values of these three weight coefficients can be set according to the actual situation. For example, Coef ₁ =0.7, Coef ₂ =0.2, Coef ₃ = 0.1, Coef ₁ = 0.5, Coef ₂ = 0.3, Coef ₃ = 0.2, and other values can also be set.

Step S1034, calculating the system resource allocation amount of the system task according to the degree of difference between the system task and historical tasks of each level.

First, the level of the system task can be determined according to the following formula:

TaskClass＝ArgMax(Dis ₁ ,Dis ₂ ,...,Dis _cn ,...,Dis _CN )

Wherein, ArgMax is the maximum independent variable function, and TaskClass is the serial number of the class of the system task.

Then, the system resource allocation amount of the system task can be calculated according to the following formula:

Among them, hn is the serial number of the historical task of the TaskClass-th level, 1≤hn≤TaskNum, TaskNum is the total number of the historical tasks of the TaskClass-th level, HsRsrQuo _hn is the historical resource allocation of the hn-th historical task of the TaskClass-th level , RsrQuo _tn is the system resource allocation amount of the system task calculated in the tnth system resource allocation mode.

Step S104, selecting a preferred allocation mode from various system resource allocation modes, and performing system resource allocation on the system task according to the preferred allocation mode.

The preferred allocation mode is the system resource allocation mode with the largest amount of system resource allocation, that is, the preferred allocation mode can be selected according to the following formula:

SelType＝ArgMax(RsrQuo ₁ ,RsrQuo ₂ ,...,RsrQuo _tn ,...,RsrQuo _TypeNum )

Wherein, SelType is the sequence number of the preferred allocation mode.

After the preferred allocation mode is selected, system resources can be allocated to the system tasks according to the preferred allocation mode.

To sum up, the embodiment of the present invention replaces the manual system resource allocation method in the prior art by means of automatic processing. Specifically, after receiving the system resource allocation request sent by the terminal device, firstly from the Extract the task ID of the system task from the above system resource allocation request, and then automatically obtain the system task information of the system task in each attribute dimension from each preset data source according to the task ID, and obtain the system task information in each preset data source In one system resource allocation mode, the system resource allocation amount of the system task is calculated according to the system task information, and finally the optimal allocation mode is selected from various system resource allocation modes, and the optimal allocation mode is automatically allocated according to the optimal allocation mode System tasks allocate system resources. Through the embodiment of the present invention, the method of automatic processing is used instead of relying on staff to manually allocate system resources in the prior art, getting rid of the dependence on the subjective experience of staff, and greatly improving the accuracy of system resource allocation results. And it does not require a lot of manpower input, saves time and effort, and greatly improves the efficiency of system resource allocation.

It should be understood that the sequence numbers of the steps in the above embodiments do not mean the order of execution, and the execution order of each process should be determined by its functions and internal logic, and should not constitute any limitation to the implementation process of the embodiment of the present invention.

Corresponding to the method for allocating system resources described in the above embodiments, FIG. 6 shows a structural diagram of an embodiment of an apparatus for allocating system resources provided by an embodiment of the present invention.

In this embodiment, a device for allocating system resources may include:

An allocation request receiving module 601, configured to receive a system resource allocation request sent by a terminal device, and extract a task identifier of a system task from the system resource allocation request;

A task information acquisition module 602, configured to acquire the system task information of the system task in each attribute dimension from each preset data source according to the task identifier;

A resource allocation amount calculation module 603, configured to calculate the system resource allocation amount of the system task according to the system task information under various preset system resource allocation modes;

An allocation mode selection module 604, configured to select a preferred allocation mode from various system resource allocation modes, and allocate system resources to the system tasks according to the preferred allocation mode, and the preferred allocation mode is the one with the largest amount of system resource allocation System resource allocation mode.

Further, the resource allocation calculation module may include:

The resource allocation record acquisition unit is used to respectively acquire the resource allocation records of each historical task in the tnth system resource allocation mode from the preset historical database, 1≤tn≤TypeNum, where TypeNum is the number of various system resource allocation modes Total, and TypeNum is an integer greater than 1, each resource allocation record includes historical task information and historical resource allocation;

A grade division unit, configured to divide each historical task into CN grades according to the historical resource allocation amount, where CN is an integer greater than 1;

A difference calculation unit, configured to calculate the difference between the system task and the historical tasks of each level according to the system task information and the historical task information of each historical task;

An allocation amount calculation unit, configured to calculate the system resource allocation amount of the system task according to the degree of difference between the system task and historical tasks of various levels.

Further, the difference calculation unit may include:

The task set division subunit is used to divide the historical tasks of the cnth level into a first task set, a second task set and a third task set, the first task set includes various historical tasks whose system resources have been recovered, The second task set includes various historical tasks that system resources are in use, and the third task set includes various historical tasks that system resources have been consumed, 1≤cn≤CN;

The first calculation subunit is used to calculate the degree of difference between the system task and each task set according to the system task information and the historical task information of each historical task;

The second calculation subunit is used to calculate the degree of difference between the system task and the historical task of the cnth level according to the following formula:

Dis _cn ＝Coef ₁ ×FsDis _cn +Coef ₂ ×SdDis _cn +Coef ₃ ×TdDis _cn

Wherein, FsDis _cn is the degree of difference between the system task and the first task set, SdDis _cn is the difference between the system task and the second task set, and TdDis _cn is the difference between the system task and the second task set. The degree of difference between the third task set, Coef ₁ , Coef ₂ , and Coef ₃ are respectively preset weight coefficients, and satisfy: Dis _cn is the degree of difference between the system task and the historical task of the cnth level.

Further, the first calculation subunit is specifically configured to calculate the degree of difference between the system task and each task set according to the following formula:

Among them, dn is the serial number of each attribute dimension, 1≤dn≤DN, DN is the total number of each attribute dimension, SbDimInfo _dn is the system task information of the system task on the dn attribute dimension, fn is the first data The sequence number of each historical task in the set, 1≤fn≤FN _cn , FN _cn is the total number of historical tasks in the first task set of the cnth level, FsHsInfo _fn,cn,dn is the number of historical tasks in the first task set of the cnth level The historical task information of the fnth historical task on the dnth attribute dimension, sn is the serial number of each historical task in the second data set, 1≤sn≤SN _cn , and SN _cn is the second task of the cnth level The total number of historical tasks in the set, SdHsInfo _{sn, cn, dn} is the historical task information of the sn-th historical task in the dn-th attribute dimension of the second task set of the cn-th level, and rn is the historical task information in the third data set The serial number of each historical task, 1≤rn≤RN _cn , RN _cn is the total number of historical tasks in the third task set of the cnth level, TdHsInfo _rn,cn,dn is the rnth of the third task set of the cnth level Historical task information of historical tasks on the dnth attribute dimension.

Further, the task information acquisition module may include:

an authorization request sending unit, configured to send a data authorization request to the terminal device;

an authorization information receiving unit, configured to receive data authorization information fed back by the terminal device;

The data server selection unit is used to select the server corresponding to the srth data source from the preset server list as the data server, and the server list records the corresponding relationship between each data source and each server, 1≤sr≤ SourceNum, SourceNum is the total number of each data source;

a data request sending unit, configured to send a data request to the data server, where the data request includes the task identifier and the data authorization information;

The task information receiving unit is configured to receive the system task information of the system task sent by the data server.

Those skilled in the art can clearly understand that for the convenience and brevity of the description, the specific working process of the above-described devices, modules and units can refer to the corresponding process in the foregoing method embodiments, which will not be repeated here.

In the above-mentioned embodiments, the descriptions of each embodiment have their own emphases, and for parts that are not detailed or recorded in a certain embodiment, refer to the relevant descriptions of other embodiments.

FIG. 7 shows a schematic block diagram of a server provided by an embodiment of the present invention. For ease of description, only parts related to the embodiment of the present invention are shown.

In this embodiment, the server 7 may include: a processor 70, a memory 71, and computer-readable instructions 72 stored in the memory 71 and operable on the processor 70, such as executing the above-mentioned system resources Computer readable instructions for the allocation method. When the processor 70 executes the computer-readable instructions 72, the steps in the above embodiments of the system resource allocation method are implemented, for example, steps S101 to S104 shown in FIG. 1 . Alternatively, when the processor 70 executes the computer-readable instructions 72, the functions of the modules/units in the above-mentioned device embodiments, such as the functions of the modules 601 to 604 shown in FIG. 6 , are realized.

Exemplarily, the computer-readable instructions 72 may be divided into one or more modules/units, and the one or more modules/units are stored in the memory 71 and executed by the processor 70, To complete the present invention. The one or more modules/units may be a series of computer-readable instruction segments capable of accomplishing specific functions, and the instruction segments are used to describe the execution process of the computer-readable instructions 72 in the server 7 .

The processor 70 may be a central processing unit (Central Processing Unit, CPU), and may also be other general-purpose processors, a digital signal processor (Digital Signal Processor, DSP), an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), Field-Programmable Gate Array (Field-Programmable Gate Array, FPGA) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, etc. A general-purpose processor may be a microprocessor, or the processor may be any conventional processor, or the like.

The storage 71 may be an internal storage unit of the server 7 , such as a hard disk or memory of the server 7 . The memory 71 can also be an external storage device of the server 7, such as a plug-in hard disk equipped on the server 7, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, Flash card (Flash Card), etc. Further, the storage 71 may also include both an internal storage unit of the server 7 and an external storage device. The memory 71 is used to store the computer readable instructions and other instructions and data required by the server 7 . The memory 71 can also be used to temporarily store data that has been output or will be output.

Each functional unit in each embodiment of the present invention may be integrated into one processing unit, or each unit may physically exist separately, or two or more units may be integrated into one unit. The above-mentioned integrated units can be implemented in the form of hardware or in the form of software functional units.

If the integrated unit is realized in the form of a software function unit and sold or used as an independent product, it can be stored in a computer-readable storage medium. Based on this understanding, the essence of the technical solution of the present invention or the part that contributes to the prior art or all or part of the technical solution can be embodied in the form of a software product, and the computer software product is stored in a storage medium , including several computer-readable instructions to enable a computer device (which may be a personal computer, server, or network device, etc.) to execute all or part of the steps of the methods described in various embodiments of the present invention. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), magnetic disk or optical disk, etc., which can store computer-readable instructions. medium.

The above-described embodiments are only used to illustrate the technical solutions of the present invention, rather than to limit them; although the present invention has been described in detail with reference to the foregoing embodiments, those of ordinary skill in the art should understand that: it can still carry out the foregoing embodiments The technical solutions described in the examples are modified, or some of the technical features are equivalently replaced; and these modifications or replacements do not make the essence of the corresponding technical solutions deviate from the spirit and scope of the technical solutions of the various embodiments of the present invention.

Claims (10)

1. a kind of method for distributing system resource characterized by comprising

The system resource allocation request that receiving terminal apparatus is sent, and the extraction system task from system resource allocation request Task identification；

The system task is obtained respectively in each attribute dimensions from preset each data source according to the task identification System task information；

Under preset various system resource allocation modes, the system task is calculated separately according to the system task information System resource allocation amount；

Preferred allocation mode is chosen from various system resource allocation modes, and according to the preferred allocation mode to the system Task carries out system resource allocation, and the preferred allocation mode is the maximum system resource allocation mode of system resource allocation amount.

2. system according to claim 1 resource allocation methods, which is characterized in that described in preset various system resources Under allocation model, include: according to the system resource allocation amount that the system task information calculates separately the system task

From the money for obtaining each historic task under tn kind system resource allocation mode in preset historical data base respectively Source assignment record, 1≤tn≤TypeNum, TypeNum be various system resource allocation modes sum, and TypeNum be greater than 1 integer, each resource allocation record includes historic task information and history resource allocation；

Each historic task is divided into CN grade according to the history resource allocation, CN is the integer greater than 1；

The system task and each is calculated separately according to the historic task information of the system task information and each historic task Diversity factor between the historic task of a grade；

The system money of the system task is calculated according to the diversity factor between the system task and the historic task of each grade Source sendout.

3. method for distributing system resource according to claim 2, which is characterized in that described according to the system task information And the historic task information of each historic task calculates separately the difference between the system task and the historic task of each grade Different degree includes:

The historic task of the cn grade is respectively divided into first task collection, the second task-set and third task-set, described One task-set includes each historic task that system resource has recycled, and second task-set includes during system resource is used Each historic task, the third task-set includes each historic task that system resource has been lost, 1≤cn≤CN；

The system task and each is calculated separately according to the historic task information of the system task information and each historic task Diversity factor between a task-set；

The diversity factor between the system task and the historic task of the cn grade is calculated according to the following formula:

Dis_cn=Coef₁×FsDis_cn+Coef₂×SdDis_cn+Coef₃×TdDis_cn

Wherein, FsDis_cnFor the diversity factor between the system task and the first task collection, SdDis_cnAppoint for the system Diversity factor between business and second task-set, TdDis_cnFor the difference between the system task and the third task-set Degree, Coef₁、Coef₂、Coef₃Respectively preset weight coefficient, and meet:Dis_cnFor Diversity factor between the system task and the historic task of the cn grade.

4. method for distributing system resource according to claim 3, which is characterized in that described according to the system task information And the diversity factor that the historic task information of each historic task calculates separately between the system task and each task-set includes:

The diversity factor between the system task and each task-set is calculated separately according to the following formula:

Wherein, dn is the serial number of each attribute dimensions, and 1≤dn≤DN, DN are the sum of each attribute dimensions, SbDimInfo_dnFor System task information of the system task in the dn attribute dimensions, fn are that each history in first data set is appointed The serial number of business, 1≤fn≤FN_cn, FN_cnFor the sum for the historic task that the first task of the cn grade is concentrated, FsHsInfo_fn,cn,dnThe fn historic task the going through in the dn attribute dimensions concentrated for the first task of the cn grade History mission bit stream, sn are the serial number of each historic task in second data set, 1≤sn≤SN_cn, SN_cnIt is cn etc. The sum of historic task in second task-set of grade, SdHsInfo_sn,cn,dnFor in the second task-set of the cn grade Historic task information of the sn historic task in the dn attribute dimensions, rn are that each history in the third data set is appointed The serial number of business, 1≤rn≤RN_cn, RN_cnFor the sum of the historic task in the third task-set of the cn grade, TdHsInfo_rn,cn,dnFor the rn historic task going through in the dn attribute dimensions in the third task-set of the cn grade History mission bit stream.

5. method for distributing system resource according to any one of claim 1 to 4, which is characterized in that described according to Task identification obtains system task letter of the system task in each attribute dimensions respectively from preset each data source Breath includes:

Data grant request is sent to the terminal device；

Receive the data grant information of the terminal device feedback；

Server corresponding with the sr data source is chosen from preset server list as data server, the service Device the list records corresponding relationship between each data source and each server, 1≤sr≤SourceNum, SourceNum are The sum of each data source；

Request of data is sent to the data server, includes the task identification and the data grant in the request of data Information；

Receive the system task information for the system task that the data server is sent.

6. a kind of system resource allocation device characterized by comprising

Distribution request receiving module, for the system resource allocation request that receiving terminal apparatus is sent, and from the system resource The task identification of extraction system task in distribution request；

Mission bit stream obtains module, for obtaining the system respectively from preset each data source according to the task identification System task information of the task in each attribute dimensions；

Resource allocation computing module, for being believed under preset various system resource allocation modes according to the system task Breath calculates separately the system resource allocation amount of the system task；

Allocation model chooses module, for choosing preferred allocation mode from various system resource allocation modes, and according to described Preferred allocation mode to the system task carry out system resource allocation, the preferred allocation mode be system resource allocation amount most Big system resource allocation mode.

7. system resource allocation device according to claim 6, which is characterized in that the resource allocation computing module packet It includes:

Resource allocation records acquiring unit, for being obtained respectively from preset historical data base in tn kind system resource allocation The resource allocation of each historic task under mode records, and 1≤tn≤TypeNum, TypeNum are various system resource allocation moulds The sum of formula, and TypeNum is the integer greater than 1, each resource allocation record includes that historic task information and history provide Source sendout；

Grade classification unit, for each historic task to be divided into CN grade according to the history resource allocation, CN is Integer greater than 1；

Diversity factor computing unit, by according to the historic task information of the system task information and each historic task respectively based on Calculate the diversity factor between the system task and the historic task of each grade；

Sendout computing unit, for calculating institute according to the diversity factor between the system task and the historic task of each grade State the system resource allocation amount of system task.

8. system resource allocation device according to claim 7, which is characterized in that the diversity factor computing unit includes:

Task-set divides subelement, for the historic task of the cn grade to be respectively divided into first task collection, the second task Collection and third task-set, the first task collection includes each historic task that system resource has recycled, second task-set Including system resource be used in each historic task, the third task-set includes each going through of being lost of system resource History task, 1≤cn≤CN；

First computation subunit, by according to the historic task information of the system task information and each historic task respectively based on Calculate the diversity factor between the system task and each task-set；

Second computation subunit, for calculating the difference between the system task and the historic task of the cn grade according to the following formula Different degree:

Dis_cn=Coef₁×FsDis_cn+Coef₂×SdDis_cn+Coef₃×TdDis_cn

Wherein, FsDis_cnFor the diversity factor between the system task and the first task collection, SdDis_cnAppoint for the system Diversity factor between business and second task-set, TdDis_cnFor the difference between the system task and the third task-set Degree, Coef₁、Coef₂、Coef₃Respectively preset weight coefficient, and meet:Dis_cnFor institute State the diversity factor between system task and the historic task of the cn grade.

9. a kind of computer readable storage medium, the computer-readable recording medium storage has computer-readable instruction, special Sign is, the system money as described in any one of claims 1 to 5 is realized when the computer-readable instruction is executed by processor The step of source distribution method.

10. a kind of server, including memory, processor and storage can transport in the memory and on the processor Capable computer-readable instruction, which is characterized in that realized when the processor executes the computer-readable instruction as right is wanted The step of method for distributing system resource described in asking any one of 1 to 5.