CN114648258A - Task scheduling method and system based on financing lease service system - Google Patents

Task scheduling method and system based on financing lease service system Download PDF

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CN114648258A
CN114648258A CN202210559539.5A CN202210559539A CN114648258A CN 114648258 A CN114648258 A CN 114648258A CN 202210559539 A CN202210559539 A CN 202210559539A CN 114648258 A CN114648258 A CN 114648258A
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financing lease
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CN114648258B (en
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吴玮
王宗力
许治威
娄文
曹肖烈
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Jiangsu Financial Leasing Co ltd
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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
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • 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
    • 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
    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0645—Rental transactions; Leasing transactions

Abstract

The invention provides a task scheduling method and a task scheduling system based on a financing lease service system, which are used for scheduling tasks through the following steps: any one distributed receiving end receives the financing lease data and the label data added to the financing lease data; generating a one-dimensional task sequence according to the one-dimensional task level of each distributed storage end; after receiving new financing lease data, the distributed storage end creates a new storage unit to store the financing lease data, and sorts each financing lease data in the distributed storage end to obtain a two-dimensional task sequence; when the distributed scheduling end reaches a preset processing state, traversing the financing lease data in each storage unit of each distributed storage end in sequence according to the one-dimensional task sequence and the two-dimensional task sequence, judging that the payment period label information in the financing lease data reaches a trigger time point, and sending the financing lease data to the corresponding distributed distribution end based on the transmission path information.

Description

Task scheduling method and system based on financing lease service system
Technical Field
The invention relates to a data processing technology, in particular to a task scheduling method and a task scheduling system suitable for a financing lease service.
Background
Financing lease (financial lease) is the most common, basic form of non-banking finance internationally. The method is characterized in that a lessor makes a delivery contract with a third party (a supplier) according to a request of the lessee (a user), and the lessor purchases equipment selected by the lessee from the supplier according to the contract. Meanwhile, the lessee and the lessee make a lease contract, the equipment is leased to the lessee, and a certain rent is collected from the lessee.
In the process of carrying out business development by a company operating financing lease, a lot of financing lease data exist, a general financing lease company has different business personnel to manage different financing lease data, but under complex scenes of personnel movement, forgetting of business personnel and the like, a manager cannot know that some agreement and terms in the financing lease are not achieved on time, in conclusion, related data of the financing lease are not stored on line intelligently and are supervised based on an intelligent technology, and the efficiency is low and the error rate is high.
Disclosure of Invention
The embodiment of the invention provides a task scheduling method and system based on a financing lease service system, which are used for storing financing lease data in a distributed manner in an intelligent manner and carrying out intelligent supervision according to different data of the financing lease data, so that the efficiency is high and the error rate is reduced.
In a first aspect of the embodiments of the present invention, a method for task scheduling based on a financing lease service system is provided, where the financing lease service system includes a distributed receiving end, a distributed forwarding end, a distributed processing end, and a distributed storage end, and the task scheduling is performed through the following steps, specifically including:
any one distributed receiving end receives financing lease data and label data added to the financing lease data, wherein the label data comprises label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information;
the distributed distributing terminal extracts the nominal tag information in the tag data, distributes and stores the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generates a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal;
after receiving new financing lease data, the distributed storage end creates a new storage unit to store the financing lease data, generates a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sorts each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence;
and when the distributed scheduling terminal reaches a preset processing state, sequentially traversing financing lease data in each storage unit of each distributed storage terminal according to the one-dimensional task sequence and the two-dimensional task sequence, judging that payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to a corresponding distributed sending terminal based on the transmission path information.
Optionally, in a possible implementation manner of the first aspect, in the step of extracting, by the distributed sending end, target amount tag information in the tag data, distributing and storing the financing lease data to the distributed storage ends corresponding to the one-dimensional task levels, and generating the one-dimensional task sequence according to the one-dimensional task level of each distributed storage end, the method specifically includes:
the distributed storage ends comprise high-level distributed storage ends, middle-level distributed storage ends and low-level distributed storage ends, wherein the high-level distributed storage ends are provided with high-level nominal intervals, the middle-level distributed storage ends are provided with middle-level nominal intervals, and the low-level distributed storage ends are provided with low-level nominal intervals;
determining a target quota interval and a distributed storage terminal corresponding to target quota tag information of financing lease data, and distributing and storing the financing lease data to the distributed storage terminal corresponding to a one-dimensional task level, wherein the one-dimensional task level comprises a high level, a middle level and a low level;
and obtaining one-dimensional task sequences related to the financing lease data from the financing lease data in the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end according to the one-dimensional task levels.
Optionally, in a possible implementation manner of the first aspect, the initializing the distributed storage end into a high-level distributed storage end, a medium-level distributed storage end, and a low-level distributed storage end by the following steps, specifically including:
sorting all financing lease data in a descending order based on the marked value label information to obtain an initialized data sorting result, and obtaining the initialized storage quantity of each distributed storage end according to the quantity information of all financing lease data;
sequentially extracting financing leasing data with the initialized storage quantity according to the initialized data sorting result, and sequentially storing the financing leasing data to a distributed storage end;
and comparing the target value label information of the maximum value of the financing lease data in each distributed storage terminal to obtain a comparison result, and obtaining an initialized high-level distributed storage terminal, an initialized middle-level distributed storage terminal and an initialized low-level distributed storage terminal according to the comparison result.
Optionally, in a possible implementation manner of the first aspect, the method further includes:
acquiring a first data quantity, a second data quantity and a third data quantity in each high-level distributed storage end, each middle-level distributed storage end and each low-level distributed storage end at intervals of a preset time period;
generating a high-level storage end weight value, a medium-level storage end weight value and a low-level storage end weight value according to the first data quantity, the second data quantity and the third data quantity;
reallocating all the financing lease data to a high-level distributed storage end, a medium-level distributed storage end and a low-level distributed storage end according to the high-level storage end weight value, the medium-level storage end weight value and the low-level storage end weight value;
and extracting the target amount label information of the maximum value of the financing lease data and the target amount label information of the minimum value of the financing lease data in the redistributed high-level distributed storage end, middle-level distributed storage end and low-level distributed storage end to generate a high-level target amount interval, a middle-level target amount interval and a low-level target amount interval.
Optionally, in a possible implementation manner of the first aspect, in the step of generating a high-level storage end weight value, a medium-level storage end weight value, and a low-level storage end weight value according to the first data quantity, the second data quantity, and the third data quantity, the method specifically includes:
the storage end weight value is calculated by the following formula,
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wherein the content of the first and second substances,
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in order to be a high-level storage-side weight value,
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in order to be able to determine the first amount of data,
Figure 599532DEST_PATH_IMAGE004
is as follows
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The amount of data is such that,
Figure 545809DEST_PATH_IMAGE006
is a time value of a preset time period,
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is a first constant value that is a function of,
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is a first offset value for the first set of values,
Figure 428817DEST_PATH_IMAGE009
in order to have a medium-level storage end weight value,
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for the purpose of the second amount of data,
Figure 497453DEST_PATH_IMAGE011
is the value of the second offset value and,
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is a low-level storage-side weight value,
Figure 383687DEST_PATH_IMAGE013
in order to be the third amount of data,
Figure 277693DEST_PATH_IMAGE014
is a third offset value.
Optionally, in a possible implementation manner of the first aspect, in the step of reallocating all the financing lease data to the high-level distributed storage, the medium-level distributed storage, and the low-level distributed storage according to the high-level storage weight value, the medium-level storage, and the low-level storage weight value, the method specifically includes:
determining a fourth data quantity, a fifth data quantity and a sixth data quantity of financing lease data redistributed to the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end according to the following formulas;
Figure 110520DEST_PATH_IMAGE015
wherein the content of the first and second substances,
Figure 736673DEST_PATH_IMAGE016
in order to be the fourth amount of data,
Figure 654951DEST_PATH_IMAGE017
is as followsThe number of the five data is,
Figure 907244DEST_PATH_IMAGE018
in order to be the sixth amount of data,
Figure 63419DEST_PATH_IMAGE019
is a first constant value that is a function of,
Figure 391632DEST_PATH_IMAGE020
is a second constant value which is a function of,
Figure 328364DEST_PATH_IMAGE021
is a third constant value;
counting all financing lease data after a preset time period, and sorting in a descending order according to the target value label information to obtain an updated data sorting result;
and according to the updated data sorting result, sequentially extracting the financing lease data of the fourth data quantity, the fifth data quantity and the sixth data quantity and storing the financing lease data into a high-level distributed storage end, a medium-level distributed storage end and a low-level distributed storage end.
Optionally, in a possible implementation manner of the first aspect, after receiving new financing lease data, the distributed storage end creates a new storage unit to store the financing lease data, generates a two-dimensional task coefficient corresponding to the new storage unit based on the payment cycle tag information and the contract deadline tag information, and sorts each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence, which specifically includes:
the distributed storage end acquires the last marking information corresponding to the last storage unit in the storage table after receiving the financing lease data, obtains the current marking information according to the last marking information, and adds the current marking information after creating a new storage unit;
quantizing the payment period label information of each financing lease data to obtain a quantized period value, and quantizing the synchronization period label information to obtain a quantized period limit value;
and generating a two-dimensional task coefficient corresponding to each storage unit based on the target value label information, the quantization period value and the quantization period value, and sequencing the storage units and the financing lease data according to the two-dimensional task coefficients to obtain a two-dimensional task sequence.
Optionally, in a possible implementation manner of the first aspect, in the step of generating a two-dimensional task coefficient corresponding to each storage unit based on the quantization period value and the quantization deadline value, and sorting the storage units and the financing lease data according to the two-dimensional task coefficient to obtain a two-dimensional task sequence, the method specifically includes:
the two-dimensional task coefficient is calculated by the following formula,
Figure 33015DEST_PATH_IMAGE022
wherein the content of the first and second substances,
Figure 309276DEST_PATH_IMAGE023
in the form of a two-dimensional task coefficient,
Figure 808390DEST_PATH_IMAGE024
in order to be a value of the period weight,
Figure 232418DEST_PATH_IMAGE025
in order to quantize the value of the period,
Figure 475181DEST_PATH_IMAGE026
the weight value of the time limit is the weight value,
Figure 871527DEST_PATH_IMAGE027
in order to quantize the value of the period,
Figure 275964DEST_PATH_IMAGE028
label information for the target.
Optionally, in a possible implementation manner of the first aspect, when the distributed scheduling end reaches a preset processing state, sequentially traversing the financing lease data in each storage unit of each distributed storage end according to the one-dimensional task sequence and the two-dimensional task sequence, determining that payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to a corresponding distributed transmission end based on the transmission path information specifically includes:
obtaining a current state information value based on the processor occupancy rate and the cache occupancy rate of the distributed scheduling terminal at the current moment, and if the current state information value is smaller than a preset value, judging that the distributed scheduling terminal reaches a preset processing state;
calling each distributed storage terminal based on the one-dimensional task sequence, and calling financing lease data in a storage unit in each distributed storage terminal according to the two-dimensional task sequence;
generating a payment reminding time period according to the payment period label information of the financing lease data and the signing time of the financing lease data;
if the current time is in the payment reminding time period, judging that the payment period label information in the financing lease data reaches the trigger time point;
and acquiring transmission path information corresponding to the financing lease data, and sending the financing lease data to a distributed receiving end according to the transmission path information.
In a second aspect of the embodiments of the present invention, a task scheduling system based on a financing lease service system is provided, where the financing lease service system includes a distributed receiving end, a distributed sending end, a distributed processing end, and a distributed storage end, and performs task scheduling through the following modules:
the receiving module is used for enabling any one distributed receiving end to receive financing lease data and label data added to the financing lease data, wherein the label data comprise label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information;
the first generation module is used for enabling the distributed distribution terminal to extract the nominal tag information in the tag data, distribute and store the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generate a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal;
the second generation module is used for enabling the distributed storage end to create a new storage unit to store the financing lease data after receiving the new financing lease data, generating a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sequencing each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence;
and the sending module is used for traversing the financing lease data in each storage unit of each distributed storage end in sequence according to the one-dimensional task sequence and the two-dimensional task sequence when the distributed scheduling end reaches a preset processing state, judging that the payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to the corresponding distributed distribution end based on the transmission path information.
In a third aspect of the embodiments of the present invention, a storage medium is provided, in which a computer program is stored, which, when being executed by a processor, is adapted to implement the method according to the first aspect of the present invention and various possible designs of the first aspect of the present invention.
The invention provides a task scheduling method and system based on a financing lease service system. After receiving the financing lease data, the distributed receiving ends at different positions can all uniformly send the financing lease data to the distributed distribution end, and the distributed distribution end can distribute and store the financing lease data to the distributed storage end corresponding to the one-dimensional task level according to the target value label information in the financing lease data in the distribution and storage processes of the financing lease data. The invention can combine the payment period label information and the contract deadline label information in the financing lease data to perform two-dimensional sequencing on the financing lease data in the distributed storage terminal, so that the invention can process the more important financing lease data in the distributed processing terminal preferentially, further quickly lock the financing lease data needing to be reminded and send the financing lease data to the corresponding distributed sending terminal, and the purpose of monitoring the financing lease data is realized.
According to the technical scheme provided by the invention, in the process of generating the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end, the high-level nominal interval, the middle-level nominal interval and the low-level nominal interval can be dynamically adjusted according to the financing lease data in each distributed storage end in a preset time period, so that the number of the financing lease data stored in the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end is corresponding, the conditions that the data storage capacity of one distributed storage end is higher and the data cannot be normally stored due to the unbalanced financing lease data distribution are avoided, the robustness of the system is ensured, and the space is reasonably utilized. The method and the device can obtain the corresponding high-level storage end weight value, middle-level storage end weight value and low-level storage end weight value according to the allocation condition of the financing lease data during initialization, and determine the high-level target quota interval, the middle-level target quota interval and the low-level target quota interval of the next time period by combining the high-level storage end weight value, the middle-level storage end weight value and the low-level storage end weight value, so that the financing lease data of the next time period are uniformly distributed, and the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end are uniformly stored.
According to the technical scheme provided by the invention, the two-dimensional task coefficient is calculated, and the payment period label information and the contract period label information are quantized to obtain the quantized period value and the quantized period limit value after quantization processing.
Drawings
Fig. 1 is a schematic view of an application scenario of the technical solution provided by the present invention;
FIG. 2 is a flowchart of a first embodiment of a method for task scheduling based on a financing lease service system;
FIG. 3 is a flowchart of a second embodiment of a method for task scheduling based on a financing lease service system;
fig. 4 is a block diagram of a first embodiment of a task scheduling device based on a financing lease service system.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
The terms "first," "second," "third," "fourth," and the like in the description and in the claims, as well as in the drawings, if any, are used for distinguishing between similar elements and not necessarily for describing a particular sequential or chronological order. It is to be understood that the data so used is interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or described herein.
It should be understood that, in various embodiments of the present invention, the sequence numbers of the processes do not mean the execution sequence, and the execution sequence of the processes should be determined by the functions and the internal logic of the processes, and should not constitute any limitation on the implementation process of the embodiments of the present invention.
It should be understood that in the present application, "comprising" and "having" and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed, but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
It should be understood that, in the present invention, "a plurality" means two or more. "and/or" is merely an association describing an associated object, meaning that three relationships may exist, e.g., a and/or B, may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. "comprises A, B and C" and "comprises A, B, C" means that A, B, C all comprise, "comprises A, B or C" means comprise one of A, B, C, "comprises A, B and/or C" means comprise any 1 or any 2 or 3 of A, B, C.
It should be understood that in the present invention, "B corresponding to a", "a corresponds to B", or "B corresponds to a" means that B is associated with a, and B can be determined from a. Determining B from a does not mean determining B from a alone, but may be determined from a and/or other information. And the matching of A and B means that the similarity of A and B is greater than or equal to a preset threshold value.
As used herein, "if" may be interpreted as "at … …" or "when … …" or "in response to a determination" or "in response to a detection", depending on the context.
The technical solution of the present invention will be described in detail below with specific examples. The following several specific embodiments may be combined with each other, and details of the same or similar concepts or processes may not be repeated in some embodiments.
As shown in fig. 1, an application scenario schematic diagram of the technical solution provided by the present invention includes a financing lease service system, where the financing lease service system includes a plurality of distributed receiving terminals, each distributed receiving terminal may be disposed at a different location, and financing lease data input by service personnel at each location may be received by the distributed receiving terminals, and the distributed receiving terminals may be devices such as computers. The distributed receiving end sends the financing lease data to the distributed sending end, and the distributed sending end distributes the financing lease data so that the financing lease data are stored in the corresponding distributed storage end. The distributed distribution end may be a server. The distributed storage side may include a plurality of, for example, databases. The distributed processing terminal can acquire, process and analyze the financing lease data in the distributed distribution terminal, and perform business on the corresponding financing lease data according to the label data of the financing lease data, so that the financing lease data can correspondingly remind corresponding business personnel when reminding is needed.
The invention provides a task scheduling method based on a financing lease service system, as shown in fig. 2, the task scheduling is carried out through the following steps, specifically comprising:
step S110, any one distributed receiving end receives financing lease data and label data added to the financing lease data, wherein the label data comprises label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information. According to the technical scheme provided by the invention, the distributed receiving end placed at any position can receive the financing lease data input by the service personnel, and the service personnel can add corresponding label data when storing the financing lease data. The financing lease data may include financing lease contracts, subject matter image information, signature information, subject matter text information, and the like. The transmission path information stores a path mark of a distributed receiving end for receiving the financing lease data, and the path mark enables the distributed processing end to determine that the financing lease data is sent to one distributed receiving end.
The tag data includes tag information of the target amount, tag information of the payment period, and tag information of the contract term, where the tag information of the target amount may be a total target amount of the financing lease activity, the total target amount is, for example, 1000 ten thousand, 500 ten thousand, and so on, for example, the lease term signed in the financing lease contract is 3 years, and the lease amount is 500 ten thousand per year, and then the tag information of the target amount at this time may be considered as 1500 ten thousand. The payment period tag information may be 1 month, half year, 1 year, etc., for example, if a lease is agreed to be paid every half year in the financing lease contract, the corresponding payment period tag information is the half year. The contract term label information may be 3 years, 5 years, etc., for example, if the financing lease contract term is 3 years, then the contract term label information is 3 years.
And step S120, the distributed distributing terminal extracts the nominal tag information in the tag data, distributes and stores the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generates a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal. According to the technical scheme provided by the invention, the distributed distribution terminal firstly extracts the target value label information and then distributes and stores the financing lease data according to the target value label information, so that the financing lease data with different target values can be stored in different distributed storage terminals.
In the technical solution provided by the present invention, as shown in fig. 3, step S120 specifically includes:
step S1201, the distributed storage end includes a high-level distributed storage end, a medium-level distributed storage end, and a low-level distributed storage end, where the high-level distributed storage end has a high-level quota interval, the medium-level distributed storage end has a medium-level quota interval, and the low-level distributed storage end has a low-level quota interval. According to the technical scheme provided by the invention, the number of the distributed storage ends is set to be 3, and the distributed storage ends correspond to a high-level distributed storage end, a middle-level distributed storage end and a low-level distributed storage end at the moment. It can be understood that the financing lease data with higher level is preferentially stored in the high-level distributed storage terminal, and the financing lease data with lower level is preferentially stored in the low-level distributed storage terminal, so that the financing lease data can be stored according to the corresponding level when the distributed storage terminal is selected.
Step S1202, determining a nominal volume interval and a distributed storage end corresponding to nominal volume label information of financing lease data, and distributing and storing the financing lease data to the distributed storage end corresponding to one-dimensional task levels, wherein the one-dimensional task levels comprise a high level, a middle level and a low level. The technical scheme provided by the invention is that a high-level distributed storage end is provided with a high-level nominal interval, a middle-level distributed storage end is provided with a middle-level nominal interval, and a low-level distributed storage end is provided with a low-level nominal interval.
According to the invention, two dimensions are determined, wherein the first dimension is the dimension of a distributed storage end, and the second dimension is the dimension of a storage unit. When the financing lease data is stored, the first dimension for storing the financing lease data is determined. When the financing lease data is stored, the distributed storage end stored by the financing lease data is selected based on the target amount label information of the financing lease data, so that the financing lease data with larger target amount is stored in the higher-level distributed storage end, namely the higher-level distributed storage end.
According to the technical scheme provided by the invention, the high-level target volume interval of the high-level distributed storage end is larger than the middle-level target volume interval of the middle-level distributed storage end, and the middle-level target volume interval of the middle-level distributed storage end is larger than the low-level target volume interval of the low-level distributed storage end.
Step S1203, obtaining one-dimensional task sequences related to the financing lease data according to the one-dimensional task levels by using the financing lease data in the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end. The sorting mode of the one-dimensional task sequence can be fixedly set, namely a high-level distributed storage end, a middle-level distributed storage end and a low-level distributed storage end are sequentially arranged, at the moment, the invention can be understood that the first-time sorting of a first dimension is carried out on the financing lease data in all the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end, namely the financing lease data in the high-level distributed storage end is greater than the financing lease data in the middle-level distributed storage end, and the financing lease data in the middle-level distributed storage end is greater than the financing lease data in the low-level distributed storage end.
Generally, when a company deploys the technical solution provided by the present invention for the first time, it may already run for a period of time, and at this time, a part of the financing lease data exists, so the technical solution provided by the present invention configures the high-level distributed storage end, the medium-level distributed storage end, and the low-level distributed storage end, which are initialized according to the financing lease data of the user, so that the configured high-level nominal quota interval, the medium-level nominal quota interval, and the low-level nominal quota interval are more suitable for the financing lease scenario of the current user and company, and the existing high-level nominal quota interval, the medium-level nominal quota interval, and the low-level nominal quota interval are in accordance with the current company.
It can be understood that company a is engaged in the financing lease business of automobiles, and the prices of automobiles are often within tens of thousands to 500 thousands, so that the rated section of the premium targets corresponding to company a may be 500 thousands to infinity. For example, company B is engaged in the financing lease business of large-scale mechanical equipment, and a large-scale mechanical equipment ranges from several millions to several tens of millions, so that the premium division corresponding to company B may be 2000 to infinity. The technical scheme provided by the invention can obtain a reasonable interval range according to different financing lease businesses of companies, namely the rated interval of the high-grade mark corresponding to the company A is 500 ten thousand to infinity according to the financing lease data of the company A, and the rated interval of the high-grade mark corresponding to the company B is 2000 ten thousand to infinity according to the financing lease data of the company B.
In this way, the invention can automatically and reasonably determine the high-level target quota interval, the middle-level target quota interval and the low-level target quota interval.
In a possible implementation manner, the technical scheme provided by the present invention initializes the distributed storage end into a high-level distributed storage end, a medium-level distributed storage end, and a low-level distributed storage end by the following steps, and specifically includes:
and sequencing all the financing lease data in a descending order based on the marked value label information to obtain an initialization data sequencing result, and obtaining the initialization storage quantity of each distributed storage end according to the quantity information of all the financing lease data. According to the technical scheme provided by the invention, all financing lease data are sorted in a descending order according to the nominal label information of the financing lease data to obtain an initialized data sorting result, and then the initialized storage quantity of each distributed storage terminal is counted according to the quantity information of the financing lease data.
The invention can count all the financing lease data to obtain the total number, and divide the total number by 3 to obtain the initialized storage number corresponding to each distributed storage end, wherein the number of the financing lease data stored in each distributed storage end is evenly distributed during initialization.
And sequentially extracting financing leasing data with the initialized storage quantity according to the initialized data sorting result, and sequentially storing the financing leasing data to the distributed storage end respectively. According to the technical scheme provided by the invention, the extraction of the financing lease data is carried out according to the sequencing result of the initialization data, for example, 9 financing lease data exist in total, at the moment, the financing lease data from 1 to 3 in the data sequencing result are extracted and stored in a distributed storage end, the financing lease data from 4 to 6 in the data sequencing result are extracted and stored in a distributed storage end, and the financing lease data from 7 to 9 in the data sequencing result are extracted and stored in a distributed storage end.
And comparing the target value label information of the maximum value of the financing lease data in each distributed storage terminal to obtain a comparison result, and obtaining an initialized high-level distributed storage terminal, an initialized middle-level distributed storage terminal and an initialized low-level distributed storage terminal according to the comparison result. The technical proposal provided by the invention has the advantages that after financing lease data are distributed and completed to each distributed storage terminal, will compare the target amount label information of the maximum value of the financing lease data in the 3 distributed storage terminals, for example, the target amount label information of the maximum value of the financing lease data in the 1 st distributed storage side is 50 ten thousand, the target amount label information of the maximum value of the financing lease data in the 2 nd distributed storage side is 100 ten thousand, the target amount label information of the maximum value of the financing lease data in the 3 rd distributed storage side is 300 ten thousand, the tag information of the 3 rd distributed storage end is greater than that of the 1 st distributed storage end and the 2 nd distributed storage end, then, at this time, the 3 rd distributed storage end may be used as the high-level distributed storage end, the 2 nd distributed storage end may be used as the middle-level distributed storage end, and the 1 st distributed storage end may be used as the low-level distributed storage end.
After the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end are obtained, the minimum nominal value label information in all financing lease data in the high-level distributed storage end is extracted, and the minimum nominal value label information is used as a first demarcation point. Then, the invention extracts the maximum targeted amount label information in all the financing lease data in the low-level distributed storage terminal, and takes the maximum targeted amount label information as a second demarcation point. At this time, 3 sections, i.e., a high-level nominal section, a middle-level nominal section, and a low-level nominal section, are generated according to the first and second demarcation points.
The forehead interval of the high-level object is greater than or equal to the first boundary point and less than positive infinity;
the forehead interval of the middle-level mark is smaller than the first boundary point and larger than the second boundary point;
the forehead interval of the lower level target is less than the second demarcation point and greater than 0.
The technical scheme provided by the invention can be obtained according to the interval separation mode of the first demarcation point and the second demarcation point in the steps of obtaining the high-level target forehead interval, the middle-level target forehead interval and the low-level target forehead interval through initialization, and updating the high-level target forehead interval, the middle-level target forehead interval and the low-level target forehead interval.
In a possible embodiment, the technical solution provided by the present invention further includes:
and acquiring a first data quantity, a second data quantity and a third data quantity in each high-level distributed storage end, middle-level distributed storage end and low-level distributed storage end at preset time intervals. In an actual use scene, the business scene of a company can be dynamically changed and adjusted, so that the financing lease data stored in the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end are not balanced any more after a preset time period, and the situations that the financing lease data in one distributed storage end is distorted too much and the financing lease data in one distributed storage end is distorted too little can be caused. Therefore, the present invention obtains the corresponding first data quantity, second data quantity and third data quantity at intervals of the preset time period. The preset time period may be half a year, or the like. The adjustment can be performed according to the actual business volume of the company, if the business volume of one company is larger, the preset time period at this time is shorter, and if the business volume of one company is larger, the preset time period at this time can be longer. The present invention is not limited in any way as to the specific setting of the preset time period.
And generating a high-level storage end weight value, a medium-level storage end weight value and a low-level storage end weight value according to the first data quantity, the second data quantity and the third data quantity. According to the technical scheme provided by the invention, a high-level storage end weight value, a middle-level storage end weight value and a low-level storage end weight value are generated, and the weight values can be understood as the magnitude values of the memory data of the corresponding storage end at the moment.
In a possible embodiment, the step of generating a high-level storage end weight value, a medium-level storage end weight value, and a low-level storage end weight value according to the first data amount, the second data amount, and the third data amount specifically includes:
the storage end weight value is calculated by the following formula,
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wherein the content of the first and second substances,
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in order to be a high-level storage-side weight value,
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in order to be able to determine the first amount of data,
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is as follows
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The amount of data is such that,
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is a time value of a preset time period,
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is a first constant value that is a function of,
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is a first offset value for the first set of values,
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in order to have a medium-level storage end weight value,
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for the purpose of the second amount of data,
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is the value of the second offset value and,
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is a low-level storage-side weight value,
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in order to be the third amount of data,
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is a third offset value.
By passing
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The total amount of all financed rental data is available. By passing
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The ratio of the first data quantity to the total quantity value can be obtained, and then the corresponding advanced storage end weight value is obtained by combining the time value of the preset time period and the first deviation value. By passing
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The ratio of the second data quantity to the total quantity value can be obtained, and then the corresponding intermediate-level storage end weight value is obtained by combining the time value of the preset time period and the second deviation value. By passing
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The ratio of the third data amount to the total amount value can be obtained, and then the corresponding low-level storage end weight value is obtained by combining the time value of the preset time period and the third offset value.
Generally, the operation of a company has a certain trend, and the trend of the target amount range of the financing lease service operated by the company can be reflected through the weight value of the storage end. The larger the weight value of the storage end is, the closer the business operated by the company is to the interval range of the storage section.
And reallocating all the financing lease data to the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end according to the high-level storage end weight value, the medium-level storage end weight value and the low-level storage end weight value. According to the technical scheme provided by the invention, all financing lease data are redistributed according to the weight value of the high-level storage end, the weight value of the medium-level storage end and the weight value of the low-level storage end, so that the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end can have proper amount of financing lease data, the distribution of the financing lease data is not equal to the average distribution any more at all times, and the technical scheme is different from the initial distribution at all times, and the operation range condition of a user in a preset time period can be considered at all times.
In a possible embodiment, the step of reallocating all the financing lease data to the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end according to the high-level storage end weight value, the medium-level storage end weight value and the low-level storage end weight value specifically includes:
determining a fourth data quantity, a fifth data quantity and a sixth data quantity of financing lease data redistributed to the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end according to the following formulas;
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wherein the content of the first and second substances,
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in order to be the fourth amount of data,
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in order to be the fifth amount of data,
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as the sixth amount of data, the first data amount,
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is a first constant value that is a function of,
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is a second constant value that is a function of,
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is a third constant value. It can be understood that the higher the weight value of the storage end, the less the amount of data of the financing lease data is reallocated, because the salesman and the user will have a trend of changing to the interval in the next time period. Generally, the business of financing rental data is directed in one direction, e.g.The target amount is larger and larger, the capacity of the company for operating the business is stronger or weaker along with the development of the company, the target amount of the financing lease project which can be accepted by the company is changed, and the invention can redistribute the historical financing lease data according to the change trend.
By passing
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The total data quantity value of all the financing lease data, the first constant value
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A second constant value
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And a third constant value
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May be preset. If it is used
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、
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And
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is not an integer, is selected to be less than
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、
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After treatment of integers as integers
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And
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is selected to be greater than
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After treatment of integers as integers
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。
And counting all financing lease data after a preset time period, and sorting in a descending order according to the target value label information to obtain an updated data sorting result. According to the technical scheme provided by the invention, the financing lease data are sorted in a descending order according to the corresponding target value label information. For example, if the updated data sorting result contains 30 financing lease data, then the 30 financing lease data are sorted in descending order according to the target value tag information to obtain the updated data sorting result.
And according to the updated data sorting result, sequentially extracting the financing lease data of the fourth data quantity, the fifth data quantity and the sixth data quantity and storing the financing lease data into a high-level distributed storage end, a medium-level distributed storage end and a low-level distributed storage end. For example, if the fourth data amount is 5, the fifth data amount is 10, and the sixth data amount is 15, then the financing lease data of the top 5 in the update data sorting result is selected and stored in the high-level distributed storage end, the financing lease data of the 6 th to the 15 th in the update data sorting result is selected and stored in the middle-level distributed storage end, and the financing lease data of the 16 th to the 30 th in the update data sorting result is selected and stored in the low-level distributed storage end.
And extracting the target amount label information of the maximum value of the financing lease data and the target amount label information of the minimum value of the financing lease data in the redistributed high-level distributed storage end, middle-level distributed storage end and low-level distributed storage end to generate a high-level target amount interval, a middle-level target amount interval and a low-level target amount interval. As described above, the present invention extracts the target quota tag information of the minimum financing lease data value in the high-level distributed storage end as the first demarcation point, extracts the target quota tag information of the maximum financing lease data value in the low-level distributed storage end as the second demarcation point, and obtains the corresponding high-level target quota interval, the middle-level target quota interval, and the low-level target quota interval according to the first demarcation point and the second demarcation point.
The redistributed high-level nominal space, the middle-level nominal space and the low-level nominal space are more suitable for the current use scene, so that the high-level nominal space, the middle-level nominal space and the low-level nominal space can be stably increased in the next period of time, and the situation that the financial lease data in a certain distributed storage terminal is distorted more or less can not occur.
Step S130, after receiving new financing lease data, the distributed storage end creates a new storage unit to store the financing lease data, generates a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sorts each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence. According to the technical scheme provided by the invention, each distributed storage end creates a new storage unit to store the financing lease data after receiving the new financing lease data, each distributed storage end is pre-provided with a calculation unit, and the calculation unit determines the two-dimensional task coefficient corresponding to the new storage unit.
In a possible implementation manner of the technical solution provided by the present invention, step S130 specifically includes:
the distributed storage end obtains the last mark information corresponding to the last storage unit in the storage table after receiving the financing lease data, obtains the current mark information according to the last mark information, and adds the current mark information after the distributed storage end creates a new storage unit. The distributed storage end adds different mark information to each storage unit to achieve the purpose of distinguishing the storage units, and the invention can obtain the current mark information after obtaining the last mark information corresponding to the last storage unit. The flag information may be the headers of the memory cells, e.g., 1, 2, 3, 4, etc. For example, if the last marking information is 10, the current marking information is the next marking information of the last marking information, and the current marking information is 11. The present invention adds the current marking information after a new storage unit is created, so that each storage unit has unique marking information which can be distinguished.
And quantizing the payment period label information of each financing lease data to obtain a quantized period value, and quantizing the contract period label information to obtain a quantized period limit value. According to the technical scheme provided by the invention, the information of the payment period label is subjected to quantitative processing, generally, the payment period is at least in a month unit, for example, 3 months are paid for one rent, 1 year is paid for one rent, and the like, and 1 year can be regarded as 12 months. The invention can set the payment period quantization weight, at this time, the month number corresponding to the payment period can be directly multiplied by the payment period quantization weight to obtain the quantization period value, and the payment period quantization weight can be 0.5, 0.8 and the like. The invention also quantifies the contract period label information, and similarly, the contract period is generally at least in a month unit, for example, the contract period is 6 months, 3 years and so on, and 3 years can be regarded as 12 months. The invention can set contract term quantization weight, at this time, the month number corresponding to the contract term can be directly multiplied by the contract term quantization weight to obtain the quantization term limit value, and the payment period quantization weight can be 0.1, 0.2 and the like.
Generally, the business personnel can forget more easily as the payment period is longer, so the business personnel can forget more easily as the payment period is longer, and similarly, the business personnel can forget more easily as the contract period is longer, so the business personnel can more seriously overlap with each other as the contract period is longer and the corresponding quantitative weight value is larger.
And generating a two-dimensional task coefficient corresponding to each storage unit based on the target value label information, the quantization period value and the quantization period value, and sequencing the storage units and the financing lease data according to the two-dimensional task coefficients to obtain a two-dimensional task sequence. According to the technical scheme provided by the invention, the two-dimensional task coefficient corresponding to each storage unit is generated according to the target value label information, the quantization period value and the quantization period value, all the financing lease data in the distributed storage terminal are sorted according to the two-dimensional task coefficient, the sorting of the two-dimensional task sequence can be based on the mark information corresponding to each storage unit, for example, the mark information of the storage unit 1, the mark information of the storage unit 2 and the mark information of the storage unit 3 are respectively 01, 02 and 03, the two-dimensional task coefficient is sorted from big to small into the storage unit 3, the storage unit 2 and the storage unit 1, and then the sorting of the mark information corresponding to the two-dimensional task sequence is 03, 02 and 01.
In a possible embodiment, the step of generating a two-dimensional task coefficient corresponding to each storage unit based on the quantization period value and the quantization period limit value, and sorting the storage units and the financing lease data according to the two-dimensional task coefficient to obtain a two-dimensional task sequence specifically includes:
the two-dimensional task coefficient is calculated by the following formula,
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wherein the content of the first and second substances,
Figure 556674DEST_PATH_IMAGE023
in the form of a two-dimensional task coefficient,
Figure 809801DEST_PATH_IMAGE024
in order to be a value of the period weight,
Figure 299688DEST_PATH_IMAGE025
in order to quantize the value of the period,
Figure 954661DEST_PATH_IMAGE026
the weight value of the time limit is the weight value,
Figure 504591DEST_PATH_IMAGE027
in order to quantize the value of the period,
Figure 245014DEST_PATH_IMAGE028
label information for the target. Quantizing the period value
Figure 273012DEST_PATH_IMAGE025
Quantization deadline value
Figure 782491DEST_PATH_IMAGE027
And the larger the labeled tag information is, the larger the two-dimensional task coefficient is. Period weight value and deadline weight value
Figure 503322DEST_PATH_IMAGE026
Is preset. According to the technical scheme provided by the invention, when the two-dimensional task coefficient is calculated, the marked amount label information, the payment period label information and the contract deadline label information are comprehensively considered, so that more dimensions are referred when the financing lease data is sorted, the time information and the marked amount information are referred, and the corresponding two-dimensional task coefficient is comprehensively and objectively obtained.
And step S140, when the distributed scheduling end reaches a preset processing state, sequentially traversing the financing lease data in each storage unit of each distributed storage end according to the one-dimensional task sequence and the two-dimensional task sequence, judging that the payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to a corresponding distributed distribution end based on the transmission path information. According to the technical scheme provided by the invention, the distributed scheduling terminal can be started according to the self condition, the financing lease data in each storage unit of each distributed storage terminal is sequentially traversed according to the one-dimensional task sequence and the two-dimensional task sequence, in the process, the financing lease data in the high-level distributed storage terminal, the middle-level distributed storage terminal and the low-level distributed storage terminal are sequentially traversed according to the one-dimensional task sequence, and the corresponding financing lease data are traversed according to the two-dimensional task sequence in each distributed storage terminal. The invention can judge that the payment period label information in the financing lease data reaches the trigger time point, if the payment period label information is considered to reach the trigger time point, the financing lease data is sent to the corresponding distributed sending terminal based on the transmission path information at the moment, and corresponding business personnel are reminded.
In a possible implementation manner of the technical solution provided by the present invention, step S140 specifically includes:
and obtaining a current state information value based on the processor occupancy rate and the cache occupancy rate of the distributed scheduling terminal at the current moment, and if the current state information value is smaller than a preset value, judging that the distributed scheduling terminal reaches a preset processing state. The present invention can set a preset processor occupancy rate and a preset cache occupancy rate.
The current state information value includes the processor occupancy rate and the cache occupancy rate at the current time, if the processor occupancy rate at the current time is smaller than the preset processor occupancy rate and the cache occupancy rate at the current time is smaller than the preset cache occupancy rate, the current state information value is considered to be smaller than the preset value at the current time, and the distributed scheduling end is judged to reach the preset processing state at the current time.
And calling each distributed storage terminal based on the one-dimensional task sequence, and calling financing lease data in a storage unit in each distributed storage terminal according to the two-dimensional task sequence. According to the technical scheme provided by the invention, each distributed storage end can be called according to the sequence of the one-dimensional task sequence, namely a high-level distributed storage end, a middle-level distributed storage end and a low-level distributed storage end are called in sequence. And traversing corresponding financing lease data according to the two-dimensional task sequence in each distributed storage terminal.
And generating a payment reminding time period according to the payment period label information of the financing lease data and the signing time of the financing lease data. Generally, the financing lease data has payment period tag information and the signing time of the financing lease data, which can be input by the business personnel in advance, for example, the signing time of the financing lease data is 2021 year, 1 month and 1 day, the payment period tag information is 1 year, and the default next payment time point is before 2022 year, 1 month and 1 day. In China, the general business rule is to pay the rent of the next year in advance one month and one week, so the payment reminding time period at the moment can be 12 months and 1 days in 2021 to 12 months and 31 days in 2021 (the rent of the next year is paid one month in advance at the moment). Therefore, the present invention generates a corresponding payment alert period at this time.
And if the current moment is within the payment reminding time period, judging that the payment period label information in the financing lease data reaches the trigger time point. If the current time is within the payment reminding time period, the business personnel needs to be reminded to urge money to the second party, and the payment period label information in the financing lease data is judged to reach the trigger time point, and the trigger time point can be understood as the time point for urging money.
And acquiring transmission path information corresponding to the financing lease data, and sending the financing lease data to a distributed receiving end according to the transmission path information. Because the number of distributed receiving ends in the invention is more, the invention can determine the distributed receiving end for receiving the corresponding financing leasing data according to the path mark in the transmission path information. The path marker has the address information of the corresponding distributed receiver.
In a possible implementation manner, each path mark may have a plurality of address information, and at this time, the same financing lease data may be distributed to a plurality of distributed receiving terminals to realize multi-point reminding, so that business personnel and administrators can know that the financing lease service corresponding to the financing lease data needs to be further processed.
In order to better implement the task scheduling method based on the financing lease service system provided by the invention, the invention also provides a task scheduling system based on the financing lease service system, the financing lease service system comprises a distributed receiving end, a distributed transmitting end, a distributed processing end and a distributed storage end, and as shown in fig. 4, the task scheduling is carried out through the following modules:
the receiving module is used for enabling any one distributed receiving end to receive financing lease data and label data added to the financing lease data, wherein the label data comprise label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information;
the first generation module is used for enabling the distributed distribution terminal to extract the nominal tag information in the tag data, distribute and store the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generate a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal;
the second generation module is used for enabling the distributed storage end to create a new storage unit to store the financing lease data after receiving the new financing lease data, generating a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sequencing each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence;
and the sending module is used for sequentially traversing the financing lease data in each storage unit of each distributed storage end according to the one-dimensional task sequence and the two-dimensional task sequence when the distributed scheduling end reaches a preset processing state, judging that the payment period label information in the financing lease data reaches a trigger time point, and sending the financing lease data to the corresponding distributed distribution end based on the transmission path information.
The present invention also provides a storage medium having a computer program stored therein, the computer program being executable by a processor to implement the methods provided by the various embodiments described above.
The storage medium may be a computer storage medium or a communication medium. Communication media includes any medium that facilitates transfer of a computer program from one place to another. Computer storage media may be any available media that can be accessed by a general purpose or special purpose computer. For example, a storage medium is coupled to the processor such that the processor can read information from, and write information to, the storage medium. Of course, the storage medium may also be integral to the processor. The processor and the storage medium may reside in an Application Specific Integrated Circuits (ASIC). Additionally, the ASIC may reside in user equipment. Of course, the processor and the storage medium may reside as discrete components in a communication device. The storage medium may be read-only memory (ROM), random-access memory (RAM), CD-ROMs, magnetic tapes, floppy disks, optical data storage devices, and the like.
The present invention also provides a program product comprising execution instructions stored in a storage medium. The at least one processor of the device may read the execution instructions from the storage medium, and the execution of the execution instructions by the at least one processor causes the device to implement the methods provided by the various embodiments described above.
In the above embodiments of the terminal or the server, it should be understood that the Processor may be a Central Processing Unit (CPU), other general-purpose processors, a Digital Signal Processor (DSP), an Application Specific Integrated Circuit (ASIC), etc. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like. The steps of a method disclosed in connection with the present invention may be embodied directly in a hardware processor, or in a combination of the hardware and software modules within the processor.
Finally, it should be noted that: the above embodiments are only used to illustrate the technical solution of the present invention, and not to limit the same; while the invention has been described in detail and with reference to the foregoing embodiments, it will be understood by those skilled in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some or all of the technical features may be equivalently replaced; and the modifications or the substitutions do not make the essence of the corresponding technical solutions depart from the scope of the technical solutions of the embodiments of the present invention.

Claims (10)

1. A task scheduling method based on a financing lease service system is characterized in that the financing lease service system comprises a distributed receiving end, a distributed sending end, a distributed processing end and a distributed storage end, and the task scheduling is carried out through the following steps, and specifically comprises the following steps:
any one distributed receiving end receives financing lease data and label data added to the financing lease data, wherein the label data comprises label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information;
the distributed distributing terminal extracts the nominal tag information in the tag data, distributes and stores the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generates a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal;
after receiving new financing lease data, the distributed storage end creates a new storage unit to store the financing lease data, generates a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sorts each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence;
when the distributed scheduling end reaches a preset processing state, sequentially traversing financing lease data in each storage unit of each distributed storage end according to the one-dimensional task sequence and the two-dimensional task sequence, judging that payment cycle label information in the financing lease data reaches a trigger time point, and sending the financing lease data to a corresponding distributed sending end based on the transmission path information.
2. The financing lease service system-based task scheduling method according to claim 1,
the method specifically comprises the steps of extracting target amount tag information in tag data at a distributed distributing end, distributing and storing the financing lease data to distributed storage ends corresponding to one-dimensional task levels, and generating a one-dimensional task sequence according to the one-dimensional task level of each distributed storage end:
the distributed storage ends comprise high-level distributed storage ends, middle-level distributed storage ends and low-level distributed storage ends, wherein the high-level distributed storage ends are provided with high-level nominal intervals, the middle-level distributed storage ends are provided with middle-level nominal intervals, and the low-level distributed storage ends are provided with low-level nominal intervals;
determining a target quota interval and a distributed storage terminal corresponding to target quota tag information of financing lease data, and distributing and storing the financing lease data to the distributed storage terminal corresponding to a one-dimensional task level, wherein the one-dimensional task level comprises a high level, a middle level and a low level;
and obtaining one-dimensional task sequences related to the financing lease data from the financing lease data in the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end according to the one-dimensional task levels.
3. The financing lease service system based task scheduling method as claimed in claim 2,
the distributed storage end is initialized into a high-level distributed storage end, a middle-level distributed storage end and a low-level distributed storage end through the following steps, and the method specifically comprises the following steps:
sequencing all financing lease data in a descending order based on the nominal label information to obtain an initialization data sequencing result, and obtaining the initialization storage quantity of each distributed storage terminal according to the quantity information of all financing lease data;
sequentially extracting financing leasing data with the initialized storage quantity according to the initialized data sorting result, and sequentially storing the financing leasing data to a distributed storage end;
and comparing the target value label information of the maximum value of the financing lease data in each distributed storage terminal to obtain a comparison result, and obtaining an initialized high-level distributed storage terminal, an initialized middle-level distributed storage terminal and an initialized low-level distributed storage terminal according to the comparison result.
4. The method for task scheduling based on a financing lease service system as claimed in claim 3, further comprising:
acquiring a first data quantity, a second data quantity and a third data quantity in each high-level distributed storage end, each middle-level distributed storage end and each low-level distributed storage end at intervals of a preset time period;
generating a high-level storage end weight value, a medium-level storage end weight value and a low-level storage end weight value according to the first data quantity, the second data quantity and the third data quantity;
reallocating all the financing lease data into a high-level distributed storage end, a medium-level distributed storage end and a low-level distributed storage end according to the high-level storage end weight value, the medium-level storage end weight value and the low-level storage end weight value;
and extracting the target amount label information of the maximum value of the financing lease data and the target amount label information of the minimum value of the financing lease data in the redistributed high-level distributed storage end, middle-level distributed storage end and low-level distributed storage end to generate a high-level target amount interval, a middle-level target amount interval and a low-level target amount interval.
5. The financing lease service system-based task scheduling method according to claim 4,
in the step of generating a high-level storage end weight value, a medium-level storage end weight value, and a low-level storage end weight value according to the first data amount, the second data amount, and the third data amount, the method specifically includes:
the storage end weight value is calculated by the following formula,
Figure DEST_PATH_IMAGE001
wherein the content of the first and second substances,
Figure 642986DEST_PATH_IMAGE002
in order to be a high-level storage-side weight value,
Figure 91285DEST_PATH_IMAGE003
in order to be able to determine the first amount of data,
Figure 402181DEST_PATH_IMAGE004
is as follows
Figure 125286DEST_PATH_IMAGE005
The amount of data is such that,
Figure 205238DEST_PATH_IMAGE006
is a time value of a preset time period,
Figure 558859DEST_PATH_IMAGE007
is a first constant value that is a function of,
Figure 153788DEST_PATH_IMAGE008
is a first offset value for the first set of values,
Figure 618268DEST_PATH_IMAGE009
in order to have a medium-level storage end weight value,
Figure 818305DEST_PATH_IMAGE010
for the purpose of the second amount of data,
Figure 139565DEST_PATH_IMAGE011
is the value of the second offset value and,
Figure 159473DEST_PATH_IMAGE012
is a low-level storage-side weight value,
Figure 427644DEST_PATH_IMAGE013
in order to be the third amount of data,
Figure 278925DEST_PATH_IMAGE014
is a third offset value.
6. The financing lease service system based task scheduling method according to claim 5,
in the step of reallocating all the financing lease data to the high-level distributed storage end, the medium-level distributed storage end and the low-level distributed storage end according to the high-level storage end weight value, the medium-level storage end weight value and the low-level storage end weight value, the method specifically includes:
determining a fourth data quantity, a fifth data quantity and a sixth data quantity of financing lease data redistributed to the high-level distributed storage end, the middle-level distributed storage end and the low-level distributed storage end according to the following formulas;
Figure 974348DEST_PATH_IMAGE015
wherein the content of the first and second substances,
Figure 747132DEST_PATH_IMAGE016
in order to be the fourth amount of data,
Figure 350152DEST_PATH_IMAGE017
in order to be the fifth amount of data,
Figure 524781DEST_PATH_IMAGE018
as the sixth amount of data, the first data amount,
Figure 125527DEST_PATH_IMAGE019
is a first constant value that is a function of,
Figure 385607DEST_PATH_IMAGE020
is a second constant value which is a function of,
Figure 995580DEST_PATH_IMAGE021
is a third constant value;
counting all financing lease data after a preset time period, and sorting in a descending order according to the target value label information to obtain an updated data sorting result;
and according to the updated data sorting result, sequentially extracting the financing lease data of the fourth data quantity, the fifth data quantity and the sixth data quantity and storing the financing lease data into a high-level distributed storage end, a medium-level distributed storage end and a low-level distributed storage end.
7. The financing lease service system-based task scheduling method according to claim 1,
the steps of creating a new storage unit for storing the financing lease data after the distributed storage end receives the new financing lease data, generating a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sequencing each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence specifically include:
the distributed storage end acquires the last marking information corresponding to the last storage unit in the storage table after receiving the financing lease data, obtains the current marking information according to the last marking information, and adds the current marking information after creating a new storage unit;
quantizing the payment period label information of each financing lease data to obtain a quantized period value, and quantizing the synchronization period label information to obtain a quantized period limit value;
and generating a two-dimensional task coefficient corresponding to each storage unit based on the target value label information, the quantization period value and the quantization period value, and sequencing the storage units and the financing lease data according to the two-dimensional task coefficients to obtain a two-dimensional task sequence.
8. The financing lease service system-based task scheduling method according to claim 7,
in the step of generating a two-dimensional task coefficient corresponding to each storage unit based on the quantization period value and the quantization deadline value, and ordering the storage units and the financing lease data according to the two-dimensional task coefficients to obtain a two-dimensional task sequence, the method specifically includes:
the two-dimensional task coefficient is calculated by the following formula,
Figure 821454DEST_PATH_IMAGE022
wherein the content of the first and second substances,
Figure 124259DEST_PATH_IMAGE023
in the form of a two-dimensional task coefficient,
Figure 340477DEST_PATH_IMAGE024
in order to be a value of the period weight,
Figure 754140DEST_PATH_IMAGE025
in order to quantize the value of the period,
Figure 434520DEST_PATH_IMAGE026
is a weight value for the time limit,
Figure 642648DEST_PATH_IMAGE027
in order to quantize the value of the period,
Figure 611741DEST_PATH_IMAGE028
label information for the target.
9. The financing lease service system based task scheduling method as claimed in claim 1,
when the distributed scheduling terminal reaches a preset processing state, sequentially traversing financing lease data in each storage unit of each distributed storage terminal according to the one-dimensional task sequence and the two-dimensional task sequence, judging that payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to a corresponding distributed sending terminal based on the transmission path information, wherein the steps specifically comprise:
obtaining a current state information value based on the processor occupancy rate and the cache occupancy rate of the distributed scheduling terminal at the current moment, and if the current state information value is smaller than a preset value, judging that the distributed scheduling terminal reaches a preset processing state;
calling each distributed storage terminal based on the one-dimensional task sequence, and calling financing lease data in a storage unit in each distributed storage terminal according to the two-dimensional task sequence;
generating a payment reminding time period according to the payment period label information of the financing lease data and the signing time of the financing lease data;
if the current time is in the payment reminding time period, judging that the payment period label information in the financing lease data reaches the trigger time point;
and acquiring transmission path information corresponding to the financing lease data, and sending the financing lease data to a distributed receiving end according to the transmission path information.
10. A task scheduling system based on a financing lease service system is characterized in that the financing lease service system comprises a distributed receiving end, a distributed transmitting end, a distributed processing end and a distributed storage end, and task scheduling is carried out through the following modules:
the receiving module is used for enabling any one distributed receiving end to receive financing lease data and label data added to the financing lease data, wherein the label data comprise label information of a target amount, label information of a payment period, label information of a contract deadline and transmission path information;
the first generation module is used for enabling the distributed distribution terminal to extract the nominal tag information in the tag data, distribute and store the financing lease data to the distributed storage terminals corresponding to the one-dimensional task levels, and generate a one-dimensional task sequence according to the one-dimensional task level of each distributed storage terminal;
the second generation module is used for enabling the distributed storage end to create a new storage unit to store the financing lease data after receiving the new financing lease data, generating a two-dimensional task coefficient corresponding to the new storage unit based on the payment period label information and the contract deadline label information, and sequencing each financing lease data in the distributed storage end based on the two-dimensional task coefficient to obtain a two-dimensional task sequence;
and the sending module is used for traversing the financing lease data in each storage unit of each distributed storage end in sequence according to the one-dimensional task sequence and the two-dimensional task sequence when the distributed scheduling end reaches a preset processing state, judging that the payment period tag information in the financing lease data reaches a trigger time point, and sending the financing lease data to the corresponding distributed distribution end based on the transmission path information.
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