CN109345108A - Method for allocating tasks, device, equipment and storage medium - Google Patents
Method for allocating tasks, device, equipment and storage medium Download PDFInfo
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- CN109345108A CN109345108A CN201811122275.7A CN201811122275A CN109345108A CN 109345108 A CN109345108 A CN 109345108A CN 201811122275 A CN201811122275 A CN 201811122275A CN 109345108 A CN109345108 A CN 109345108A
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
- G06Q10/06311—Scheduling, planning or task assignment for a person or group
- G06Q10/063114—Status monitoring or status determination for a person or group
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/10—Office automation; Time management
- G06Q10/103—Workflow collaboration or project management
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q40/00—Finance; Insurance; Tax strategies; Processing of corporate or income taxes
- G06Q40/03—Credit; Loans; Processing thereof
Abstract
The invention discloses a kind of method for allocating tasks, device, equipment and storage medium, method includes: the task to be allocated obtained in current task pond；Obtain the task parameters of each task processing node；Wherein, the task parameters include remaining task amount and task amount are completed；According to the weighting task amount that task amount is completed and obtains each task processing node；The real surplus task amount of each task processing node is obtained according to the weighting task amount and the remaining task amount；And task to be allocated is distributed into the smallest task of real surplus task amount and handles node.Implement the present invention, can be realized more fair task distribution, and taken into account the efficiency of task distributional equity and task processing.
Description
Technical field
The present invention relates to field of computer technology more particularly to a kind of method for allocating tasks, device, equipment and storage to be situated between
Matter.
Background technique
When finance activities, government's examination & approval or education sector are read and made comments, it is related to some electronic auditing tasks, example sometimes
Whether the information for such as auditing creditor meets borrowing needs, checks student's paper.In general, these audit tasks need to divide
Dispensing auditor carries out manual examination and verification.
In the prior art, server can be according to the remaining task amount of each auditor, by newly-generated audit task point
The least auditor of dispensing residue task amount.But this can lead to the problem of one, exactly audit fireballing people and need to audit more
More tasks, and less work can be done by auditing slow-footed people then, which results in tasks to distribute non-uniform problem.
Summary of the invention
In view of the above-mentioned problems, the purpose of the present invention is to provide a kind of method for allocating tasks, device, equipment and storages to be situated between
Matter is, it can be achieved that more fair task is distributed.
The embodiment of the invention provides a kind of method for allocating tasks, comprising:
Obtain the task to be allocated in current task pond；
Obtain the task parameters of each task processing node；Wherein, the task parameters include remaining task amount and
Complete task amount；
According to the weighting task amount that task amount is completed and obtains each task processing node；
Appointed according to the real surplus that the weighting task amount and the remaining task amount obtain each task processing node
Business amount；And
Task to be allocated is distributed into the smallest task processing node of real surplus task amount.
Preferably, task amount is completed in the weighting task amount according to and the empirical parameter of threshold value generates；Wherein,
The weighting task amount with described that task amount is completed is proportional.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed；
The then weighting task amount that task amount is completed according to and obtains each task processing node specifically:
Task amount is completed and the task processing speed obtains the weighting of each task processing node and appoints according to described
Business amount；Wherein, the weighting task amount and the task processing speed and described that task amount is completed is directly proportional.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed and average task processing speed；
The then weighting task amount that task amount is completed according to and obtains each task processing node specifically:
Task amount, the task processing speed and task processing speed and average task processing speed is completed according to described
The ratio of degree obtains the weighting task amount of each task processing node；Wherein, the weighting task amount and task processing speed
Degree and described that task amount is completed is directly proportional；The ratio of the task processing speed and average task processing speed is described
The power of task processing speed.
Preferably, each task has a degree-of-difficulty factor；The residue task amount is according to each remaining task and correspondence
Degree-of-difficulty factor weighted sum obtain.
Preferably, further includes:
Judge that degree-of-difficulty factor is greater than the number for presetting the task amount of difficulty value in the remaining task amount；
When the number is greater than preset first threshold, to the remaining task amount multiplied by an amendment system greater than 1
Number；
When the number is less than preset second threshold, to the remaining task amount multiplied by an amendment system less than 1
Number.
The embodiment of the invention also provides a kind of task allocation apparatus, comprising:
Task acquiring unit to be allocated, for obtaining the task to be allocated in current task pond；
Task parameters acquiring unit, for obtaining the task parameters of each task processing node；Wherein, the task parameters
Including remaining task amount and task amount is completed；
Task amount computing unit is weighted, the weighting of each task processing node is obtained for task amount to be completed according to
Task amount；
Real surplus task amount computing unit, it is every for being obtained according to the weighting task amount and the remaining task amount
The real surplus task amount of a task processing node；And
Task allocation unit, for the task to be allocated to be distributed to the smallest task processing section of real surplus task amount
Point.
The embodiment of the invention also provides a kind of task distributing equipment, including processor, memory and it is stored in described
Computer program in memory, the computer program can be executed by the processor to realize such as above-mentioned task distribution
Method.
The embodiment of the invention also provides a kind of computer readable storage medium, the computer readable storage medium includes
The computer program of storage, wherein control in computer program operation and set where the computer readable storage medium
It is standby to execute such as above-mentioned method for allocating tasks.
In above-described embodiment, when distributing new task, each the current of task processing node of meeting comprehensive consideration is remained
Remaining task amount and task amount is completed, and generates a weighting task amount according to task amount is completed come to remaining task
Amount is modified, so that the distribution of task is more reasonable and fair.
Detailed description of the invention
In order to illustrate more clearly of technical solution of the present invention, attached drawing needed in embodiment will be made below
Simply introduce, it should be apparent that, the accompanying drawings in the following description is only some embodiments of the present invention, general for this field
For logical technical staff, without creative efforts, it is also possible to obtain other drawings based on these drawings.
Fig. 1 is the flow diagram for the method for allocating tasks that first embodiment of the invention provides.
Fig. 2 is the structural schematic diagram for the task allocation apparatus that second embodiment of the invention provides.
Specific embodiment
Following will be combined with the drawings in the embodiments of the present invention, and technical solution in the embodiment of the present invention carries out clear, complete
Site preparation description, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments.It is based on
Embodiment in the present invention, it is obtained by those of ordinary skill in the art without making creative efforts every other
Embodiment shall fall within the protection scope of the present invention.
Referring to Fig. 1, first embodiment of the invention provides a kind of method for allocating tasks, comprising:
S101 obtains the task to be allocated in current task pond.
Wherein, when receiving newly-generated task, task can be temporarily placed into task pool, be waited to be allocated.
S102 obtains the task parameters of each task processing node；Wherein, the task parameters include remaining task amount with
And task amount is completed.
S103, according to the weighting task amount that task amount is completed and obtains each task processing node.
For example, the weighting task amount can be generated according to task amount is completed divided by a scheduled empirical parameter.
It is formulated are as follows:Wherein, S is weighting task amount, and M is that task amount is completed, and n is scheduled experience
Parameter.
S104, the reality for obtaining each task processing node according to the weighting task amount and the remaining task amount are surplus
Remaining task amount；And
Task to be allocated is distributed to the smallest task of real surplus task amount and handles node by S105.
Specifically, in the present embodiment, each corresponding auditor of task processing node, it is assumed that current there are four appoint
Business processing node (being denoted as A, B, C, D respectively), corresponding 4 auditors, wherein the task parameters of each task processing node are
A:(5,30), B (3,42), C (6,26), D (4,38)；Wherein, first number indicates that remaining task amount, second number indicate complete
At task amount.If empirical coefficient is 5, then the real surplus task amount of each task processing node is A:11, B after amendment:
11.4, C:11.2, D:11.6.
As can be seen that it is B that although current residual task amount is least, since to be completed task amount most for it,
Its real surplus task amount is bigger.Although and the current residual task amount of A be not it is least, its be completed task amount compared with
Few, showing is exactly that real surplus task amount is minimum, therefore newly-generated task will distribute to task processing node A.
Further, it can be seen that if the task to be allocated that yet another is new, task processing section will be distributed to
Point C is completed that task amount is minimum due to C, and the real surplus task amount shown also can be relatively fewer.
In conclusion method for allocating tasks provided in an embodiment of the present invention can be integrated and be examined when distributing new task
It measures the current residual task amount of each task processing node and task amount is completed, and generated according to task amount is completed
One weighting task amount is modified remaining task amount, so that the distribution of task is more reasonable and fair.
Some currently preferred embodiments of the present invention is described in further detail below.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed；
Then step S103 specifically:
Task amount is completed and the task processing speed obtains the weighting of each task processing node and appoints according to described
Business amount；Wherein, the weighting task amount and the task processing speed and described that task amount is completed is directly proportional.
In above-described embodiment, in fact it could happen that a problem be, processing speed than faster task processing node due to it
Processing speed is than comparatively fast, causing remaining task amount to be maintained in a fewer quantity for a long time, even if so appointing plus weighting
After business amount, real surplus task amount is still seldom, it is still desirable to processing tasks more more than other tasks processing node.
For this purpose, in the present embodiment, calculate weight task amount when, further account for each task processing node it is corresponding
The task processing speed of predetermined amount of time.
That is:Wherein, V is the task processing speed in a predetermined amount of time, appointing such as in 1 hour
Business processing speed.
By introducing task processing speed, so that the weighting task amount of the fast task processing node of task processing speed is into one
Step increases, thus more difficult is assigned to new task.Although this may cause task processing node in some cases
There is no task can handle, but after its not processing task, task processing speed will be slack-off, because and will lead to weighting appoint
Business amount becomes smaller, and then causes the distribution of new task, and the present embodiment has very fast self-correction ability, and can guarantee as far as possible
Task distributional equity.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed and average task processing speed；
Then step S103 specifically:
Task amount, the task processing speed and task processing speed and average task processing speed is completed according to described
The ratio of degree obtains the weighting task amount of each task processing node；Wherein, the weighting task amount and task processing speed
Degree and described that task amount is completed is directly proportional；The ratio of the task processing speed and average task processing speed is described
The power of task processing speed.
Since the working experience of each auditor is different, thus task processing speed is also unequal, if only considered exhausted
Pair task processing speed, then will lead to the overstocked problem of task.For this purpose, in the present embodiment, being carried out to weighting task amount
Further amendment:
Wherein,For average treatment speed.
In the present embodiment, if the task processing speed of auditor is accelerated, the task processing speed and average
The ratio of task processing speed can be greater than 1, accordinglyAlso it will increase, reflect and exactly weight task amount and will increase.
Although the absolute value of the task processing speed of auditor still may not be maximum, but as long as it promotes task processing speed
Degree, then in indexUnder the action of, weighting task amount will effectively be increased, more new so as to avoid being assigned to
Task, therefore its processing speed can be promoted with the slow auditor of energized process.
To sum up, by using the ratio of task processing speed and average task processing speed as the power of task processing speed,
The enthusiasm that task auditor can be promoted takes into account the efficiency of task distributional equity and task processing.
Preferably, each task has a degree-of-difficulty factor；The residue task amount is according to each remaining task and correspondence
Degree-of-difficulty factor weighted sum obtain.
In the present embodiment, it is contemplated that the difficulty of each task is different, therefore, if simply by task phase
Adding to obtain remaining task amount can have that certain tasks processing nodes are assigned to many highly difficult tasks, for this purpose,
In the present embodiment, the residue task amount is obtained according to each remaining task and corresponding degree-of-difficulty factor weighted sum, can be with
Guarantee distributional equity.
Preferably, further includes:
Judge that degree-of-difficulty factor is greater than the number for presetting the task amount of difficulty value in the remaining task amount；
When the number is greater than preset first threshold, to the remaining task amount multiplied by an amendment system greater than 1
Number；
When the number is less than preset second threshold, to the remaining task amount multiplied by an amendment system less than 1
Number.
In the present embodiment, although it is contemplated that the degree-of-difficulty factor of each task, but work as the task of multiple highly difficult coefficients
When being assigned to the same task processing node, real processing difficulty is non-linear increase, because comparing degree-of-difficulty factor
Low task, the high task of degree-of-difficulty factor need to expend more energy.
For this purpose, in the present embodiment, system judges that degree-of-difficulty factor is greater than appointing for default difficulty value in the remaining task amount
The number of business amount；When the number is greater than preset first threshold, to the remaining task amount multiplied by an amendment greater than 1
Coefficient；When the number is less than preset second threshold, to the remaining task amount multiplied by a correction factor less than 1.
By increasing corresponding correction factor, can be assigned to together to avoid the low task of the high task of degree-of-difficulty factor or degree-of-difficulty factor
The phenomenon that one task processing node, occurs.
Second embodiment of the invention additionally provides a kind of task allocation apparatus, comprising:
Task acquiring unit 10 to be allocated, for obtaining the task to be allocated in current task pond；
Task parameters acquiring unit 20, for obtaining the task parameters of each task processing node；Wherein, the task ginseng
Number includes remaining task amount and task amount is completed；
Task amount computing unit 30 is weighted, obtains adding for each task processing node for task amount to be completed according to
Weigh task amount；
Real surplus task amount computing unit 40, for being obtained according to the weighting task amount and the remaining task amount
The real surplus task amount of each task processing node；And
Task allocation unit 50 is handled for the task to be allocated to be distributed to the smallest task of real surplus task amount
Node.
Preferably, task amount is completed in the weighting task amount according to and the empirical parameter of threshold value generates；Wherein,
The weighting task amount with described that task amount is completed is proportional.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed；
Then the weighting task amount computing unit 30 is specifically used for, and is completed at task amount and the task according to described
Reason speed obtains the weighting task amount of each task processing node；Wherein, the weighting task amount and the task processing speed
And described that task amount is completed is directly proportional.
Preferably, the task parameters further include corresponding at the task of predetermined amount of time with each task processing node
Manage speed and average task processing speed；
Then the weighting task amount computing unit 30 is specifically used for, and task amount, task processing is completed according to described
The ratio of speed and task processing speed and average task processing speed obtains the weighting task amount of each task processing node；
Wherein, the weighting task amount and the task processing speed and described that task amount is completed is directly proportional；At the task
The ratio for managing speed and average task processing speed is the power of the task processing speed.
Preferably, each task has a degree-of-difficulty factor；The residue task amount is according to each remaining task and correspondence
Degree-of-difficulty factor weighted sum obtain.
Preferably, further includes:
Judging unit, for judging that degree-of-difficulty factor is greater than of the task amount of default difficulty value in the remaining task amount
Number；
When the number is greater than preset first threshold, to the remaining task amount multiplied by an amendment system greater than 1
Number；
When the number is less than preset second threshold, to the remaining task amount multiplied by an amendment system less than 1
Number.
In above-described embodiment, when distributing new task, each the current of task processing node of meeting comprehensive consideration is remained
Remaining task amount and task amount is completed, and generates a weighting task amount according to task amount is completed come to remaining task
Amount is modified, so that the distribution of task is more reasonable and fair.
Third embodiment of the invention additionally provides a kind of task distributing equipment, including processor, memory and is stored in
Computer program in the memory, the computer program can be executed by the processor to realize such as above-mentioned task
Distribution method.
Fourth embodiment of the invention additionally provides a kind of computer readable storage medium, the computer readable storage medium
Computer program including storage, wherein control the computer readable storage medium institute in computer program operation
Such as above-mentioned method for allocating tasks is executed in equipment.
Illustratively, the computer program can be divided into one or more units, one or more of lists
Member is stored in the memory, and is executed by the processor, to complete the present invention.One or more of units can be with
It is the series of computation machine program instruction section that can complete specific function, the instruction segment is in office for describing the computer program
The implementation procedure being engaged in distributing equipment.
The task distributing equipment can be desktop PC, notebook, palm PC and cloud server cluster etc.
Calculate equipment.The task distributing equipment may include, but are not limited to processor, memory.Those skilled in the art can manage
Solution, the schematic diagram is only the example of task distributing equipment, does not constitute the restriction to task distributing equipment, may include ratio
More or fewer components are illustrated, certain components or different components are perhaps combined, such as the task distributing equipment may be used also
To include input-output equipment, network access equipment, bus etc..
Alleged processor can be central processing unit (Central Processing Unit, CPU), can also be it
His general processor, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng the control centre of the task distributing equipment utilizes each portion of various interfaces and the entire task distributing equipment of connection
Point.
The memory can be used for storing the computer program and/or module, and the processor is by operation or executes
Computer program in the memory and/or module are stored, and calls the data being stored in memory, described in realization
The various functions of task distributing equipment.The memory can mainly include storing program area and storage data area, wherein storage journey
It sequence area can application program needed for storage program area, at least one function (such as sound-playing function, image player function
Deng) etc.；Storage data area, which can be stored, uses created data (such as audio data, phone directory etc.) etc. according to mobile phone.This
Outside, memory may include high-speed random access memory, can also include nonvolatile memory, such as hard disk, memory, insert
Connect formula hard disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash memory
Block (Flash Card), at least one disk memory, flush memory device or other volatile solid-state parts.
Wherein, if the unit that the task distributing equipment integrates is realized in the form of SFU software functional unit and as independence
Product when selling or using, can store in a computer readable storage medium.Based on this understanding, of the invention
It realizes all or part of the process in above-described embodiment method, can also instruct relevant hardware come complete by computer program
At the computer program can be stored in a computer readable storage medium, which is being executed by processor
When, it can be achieved that the step of above-mentioned each embodiment of the method.Wherein, the computer program includes computer program code, described
Computer program code can be source code form, object identification code form, executable file or certain intermediate forms etc..The meter
Calculation machine readable medium may include: can carry the computer program code any entity or device, recording medium, USB flash disk,
Mobile hard disk, magnetic disk, CD, computer storage, read-only memory (ROM, Read-OnlyMemory), random access memory
Device (RAM, Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It needs to illustrate
It is that the content that the computer-readable medium includes can be fitted according to the requirement made laws in jurisdiction with patent practice
When increase and decrease, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium does not include electric carrier wave letter
Number and telecommunication signal.
It should be noted that the apparatus embodiments described above are merely exemplary, wherein described be used as separation unit
The unit of explanation may or may not be physically separated, and component shown as a unit can be or can also be with
It is not physical unit, it can it is in one place, or may be distributed over multiple network units.It can be according to actual
It needs that some or all of the modules therein is selected to achieve the purpose of the solution of this embodiment.In addition, device provided by the invention
In embodiment attached drawing, the connection relationship between module indicate between them have communication connection, specifically can be implemented as one or
A plurality of communication bus or signal wire.Those of ordinary skill in the art are without creative efforts, it can understand
And implement.
The above is a preferred embodiment of the present invention, it is noted that for those skilled in the art
For, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications are also considered as
Protection scope of the present invention.
Claims (9)
1. a kind of method for allocating tasks characterized by comprising
Obtain the task to be allocated in current task pond；
Obtain the task parameters of each task processing node；Wherein, the task parameters include remaining task amount and are completed
Task amount；
According to the weighting task amount that task amount is completed and obtains each task processing node；
The real surplus task amount of each task processing node is obtained according to the weighting task amount and the remaining task amount；
And
Task to be allocated is distributed into the smallest task processing node of real surplus task amount.
2. method for allocating tasks according to claim 1, which is characterized in that the weighting task amount is completed according to
The empirical parameter of task amount and pre-value generates；Wherein, the weighting task amount with described that task amount is completed is proportional.
3. method for allocating tasks according to claim 1, which is characterized in that the task parameters further include and each task
Handle the corresponding task processing speed in predetermined amount of time of node；
The then weighting task amount that task amount is completed according to and obtains each task processing node specifically:
Task amount is completed and the task processing speed obtains the weighting task amount of each task processing node according to described；
Wherein, the weighting task amount and the task processing speed and described that task amount is completed is directly proportional.
4. method for allocating tasks according to claim 1, which is characterized in that the task parameters further include and each task
Handle the corresponding task processing speed and average task processing speed in predetermined amount of time of node；
The then weighting task amount that task amount is completed according to and obtains each task processing node specifically:
Task amount, the task processing speed and task processing speed and average task processing speed is completed according to described
Ratio obtains the weighting task amount of each task processing node；Wherein, the weighting task amount and the task processing speed with
And described that task amount is completed is directly proportional；The ratio of the task processing speed and average task processing speed is the task
The power of processing speed.
5. method for allocating tasks according to claim 1, which is characterized in that each task has a degree-of-difficulty factor；Institute
Remaining task amount is stated to be obtained according to each remaining task and corresponding degree-of-difficulty factor weighted sum.
6. method for allocating tasks according to claim 5, which is characterized in that further include:
Judge that degree-of-difficulty factor is greater than the number for presetting the task amount of difficulty value in the remaining task amount；
When the number is greater than preset first threshold, to the remaining task amount multiplied by a correction factor greater than 1；
When the number is less than preset second threshold, to the remaining task amount multiplied by a correction factor less than 1.
7. a kind of task allocation apparatus characterized by comprising
Task acquiring unit to be allocated, for obtaining the task to be allocated in current task pond；
Task parameters acquiring unit, for obtaining the task parameters of each task processing node；Wherein, the task parameters include
Remaining task amount and task amount is completed；
Task amount computing unit is weighted, the weighting task of each task processing node is obtained for task amount to be completed according to
Amount；
Real surplus task amount computing unit, for obtaining each appoint according to the weighting task amount and the remaining task amount
The real surplus task amount of business processing node；And
Task allocation unit handles node for the task to be allocated to be distributed to the smallest task of real surplus task amount.
8. a kind of task distributing equipment, which is characterized in that including processor, the meter of memory and storage in the memory
Calculation machine program, the computer program can be executed as claimed in any one of claims 1 to 6 to realize by the processor
Method for allocating tasks.
9. a kind of computer readable storage medium, which is characterized in that the computer readable storage medium includes the calculating of storage
Machine program, wherein equipment where controlling the computer readable storage medium in computer program operation is executed as weighed
Benefit requires method for allocating tasks described in 1-6 any one.
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| CN110276515A (en) * | 2019-05-08 | 2019-09-24 | 平安科技（深圳）有限公司 | Method for allocating tasks, device, terminal and storage medium |
| CN111046028A (en) * | 2019-11-25 | 2020-04-21 | 贝壳技术有限公司 | Time sequence correction method and device, readable storage medium and electronic equipment |
| CN111062634A (en) * | 2019-12-25 | 2020-04-24 | 深圳前海环融联易信息科技服务有限公司 | Approval task allocation method and device, computer equipment and storage medium |
| CN111176833A (en) * | 2019-12-06 | 2020-05-19 | 航天信息股份有限公司 | Task allocation method and system for multiprocessing nodes |
| CN113742059A (en) * | 2021-07-15 | 2021-12-03 | 上海朋熙半导体有限公司 | Task allocation method and device, computer equipment and storage medium |
| CN113807621A (en) * | 2020-06-12 | 2021-12-17 | 北京四维图新科技股份有限公司 | Data processing method, device and equipment |
| WO2021258988A1 (en) * | 2020-06-23 | 2021-12-30 | 平安科技（深圳）有限公司 | Method for task assignment in distributed computing, and related device |
| CN114040380A (en) * | 2021-11-08 | 2022-02-11 | 北京百度网讯科技有限公司 | Data issuing method, device, electronic equipment, medium and product |
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| CN111046028A (en) * | 2019-11-25 | 2020-04-21 | 贝壳技术有限公司 | Time sequence correction method and device, readable storage medium and electronic equipment |
| CN111176833A (en) * | 2019-12-06 | 2020-05-19 | 航天信息股份有限公司 | Task allocation method and system for multiprocessing nodes |
| CN111062634A (en) * | 2019-12-25 | 2020-04-24 | 深圳前海环融联易信息科技服务有限公司 | Approval task allocation method and device, computer equipment and storage medium |
| CN113807621A (en) * | 2020-06-12 | 2021-12-17 | 北京四维图新科技股份有限公司 | Data processing method, device and equipment |
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| CN114040380A (en) * | 2021-11-08 | 2022-02-11 | 北京百度网讯科技有限公司 | Data issuing method, device, electronic equipment, medium and product |
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