WO2019184445A1

WO2019184445A1 - Service resource allocation

Info

Publication number: WO2019184445A1
Application number: PCT/CN2018/120309
Authority: WO
Inventors: 刘广权; 顾昊; 程志儒
Original assignee: 北京三快在线科技有限公司
Priority date: 2018-03-28
Filing date: 2018-12-11
Publication date: 2019-10-03
Also published as: CN108494861A

Abstract

Provided are a method and device for service resource allocation, and an electronic apparatus. The method comprises: determining target information, the target information comprising respective amounts of service resources in surplus of one or more surplus units and respective amounts of service resources lacked by one or more deficit units, wherein the respective surplus units are unit regions, of multiple pre-divided unit regions, in which service resources are oversupplied, and the respective deficit units are unit regions, also of the multiple unit regions, in which service resources are undersupplied; and determining a target allocation policy on the basis of the target information, the target allocation policy instructing that a portion of the service resources of a target surplus unit be allocated to a target deficit unit.

Description

Service resource allocation

Cross-reference to related applications

The present application claims priority to Chinese Patent Application No. 20181026571, filed on Mar. 28, 20, the entire disclosure of which is incorporated herein by reference. The way is incorporated in this article.

Technical field

The present application relates to the field of Internet application technologies, and in particular, to an Internet-based service resource deployment.

Background technique

With the continuous development of Internet technology, O2O (Online To Offline, online offline / online to offline) business model has emerged. Many Internet-based O2O services have emerged, such as network car services, shared vehicle services, and instant delivery services. In general, the service resources of these O2O services are different in different regions. Generally, the heat information of the service resources of each region is displayed on the map to attract more service resources to the regions with large demand, but this may cause the service resources to flock to the same hot zone, resulting in service resources. Supply and demand do not match in some areas.

Summary of the invention

In order to solve the above technical problem, the present application provides a method and apparatus for service resource allocation, a computer readable storage medium, and an electronic device.

According to a first aspect of embodiments of the present application, a method for service resource provisioning is provided, comprising: determining target information, the target information including a service resource surplus of one or more surplus units and one or more gaps The respective service resource gaps of the units, wherein each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance, and each of the gap units is smaller than a service resource in the plurality of unit areas. The unit area is determined; the target allocation policy is determined based on the target information, and the target allocation policy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

Optionally, determining the target deployment policy based on the target information, including: determining an initial value of the deployment policy based on the target information; using an initial value of the deployment policy as an object of initial adjustment, and iteratively adjusting the deployment strategy The target parameter corresponding to the adjustment strategy is smaller than the target parameter corresponding to the deployment strategy before the adjustment, wherein the target parameter is any parameter that can measure the pros and cons of the deployment strategy; When the iteration condition is stopped, the iteration is stopped, and the deployment strategy is output as the target deployment strategy.

Optionally, the provisioning policy includes the following policy element: the target surplus unit is at least one of the surplus units that are to be called out of the service resource; and the target gap unit is at least one of the service resources to be called into the service resource. a gap unit; an association relationship between the target surplus unit and the target gap unit; and a quantity of service resources called by the target surplus unit to the associated target gap unit.

Optionally, determining an initial value of the deployment policy based on the target information includes: acquiring a preset constraint condition; and determining an initial value of the deployment policy based on the target information according to the constraint condition.

Optionally, the constraint condition includes one or more of the following: each of the target surplus unit calls a total quantity of service resources that is less than or equal to the service resource surplus amount of the target surplus unit; each of the targets The total number of service resources of the gap unit is less than or equal to the service resource gap of the target gap unit; the distance between each of the target surplus units and any of the associated target gap units is less than a preset distance.

Optionally, adjusting the deployment policy includes: determining the policy element corresponding to the deployment policy; and adjusting any one or more of the policy elements.

Optionally, the target parameter is positively correlated with at least one of: a total deployment distance, wherein the total deployment distance is a sum of deployment distances of respective service resources involved in the deployment strategy corresponding to the target parameter; and a total The imbalance quantity, wherein the total imbalance quantity is a sum of unbalanced quantity of service resources after performing the deployment strategy corresponding to the target parameter.

Optionally, the determining the target information includes: acquiring, for each of the unit areas, a first quantity and a second quantity of the unit area, where the first quantity is a reference of a service resource in the unit area a quantity, the second quantity being a reference quantity of a service order in the unit area; determining, based on the first quantity and the second quantity of each of the unit areas, whether the unit area is the surplus unit or the a gap unit, and a corresponding amount of the service resource surplus and the service resource gap.

Optionally, determining, according to the first quantity of the unit area and the second quantity, whether the unit area is the surplus unit or the gap unit, and corresponding service resource surplus amount and the service resource. The amount of the gap includes: if the product of the second quantity of the unit area and the first coefficient is greater than the first quantity of the unit area as the first product, determining that the unit area is the notch unit, and The difference between the first product minus the first quantity of the unit area is determined as the service resource gap amount of the gap unit; if the product of the second quantity and the second coefficient of the unit area is used as the second If the product is smaller than the first quantity of the unit area, determining that the unit area is the surplus unit, and determining a difference obtained by subtracting the first quantity of the unit area from the second product as the unit area The service resource surplus amount, wherein the first coefficient is less than or equal to the second coefficient.

Optionally, the determining the target information includes: acquiring, for each of the unit areas, a first real-time quantity and a second real-time quantity of the unit area, where the first real-time quantity is that the unit area is pre-previously Setting a reference quantity of the service resource in the time period, where the second real-time quantity is a reference quantity of the service order of the unit area in the previous preset time period; for each of the unit areas, acquiring the unit area a first predicted quantity and a second predicted quantity, wherein the first predicted quantity is a prediction of a reference quantity of a service resource of the unit area in a future preset time period, and the second predicted quantity is a unit area a prediction of a reference quantity of a business order within the future preset time period; based on the first real time quantity, the second real time quantity, the first predicted quantity, and the number of each of the unit areas The second prediction quantity determines whether the unit area is the surplus unit or the gap unit, and the corresponding service resource surplus amount and the service resource gap amount.

Optionally, determining, according to the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity of the unit area, whether the unit area is the surplus unit or the gap a unit, and a corresponding amount of the service resource surplus and the service resource gap, including: based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second Determining the unit area as the surplus unit, determining that the unit area is the surplus unit, and based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the The second prediction quantity determines the service resource surplus amount of the surplus unit; if the unit is determined based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second predicted quantity If the area is the gap unit, determining that the unit area is the gap unit, and based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and Determining the number of said notch cutout unit resource amount prediction of the second service.

Optionally, the method further includes: sending, according to the target provisioning policy, boot information for deploying a service resource.

Optionally, sending, according to the target deployment policy, the guiding information, including: determining, for any of the target earnings units, a target service resource to be deployed of the target surplus unit, and associating the target service unit from the target surplus unit Selecting, by the target notch unit, the target notch unit corresponding to each of the target service resources; and sending corresponding guiding information to each of the target service resources, where the guiding information includes the target corresponding to the target service resource Information about the notch unit.

Optionally, determining the target service resource to be allocated by the target surplus unit includes: acquiring current information and historical information of each service resource in the target surplus unit, where the current information includes but is not limited to: The duration of the service resource is in an idle state, and the historical information includes, but is not limited to, the number of times the service resource has received the guidance information, and the time interval from the last time the guide information is received to the current time. The probability of obeying the guiding operation after receiving the guiding information; selecting the target service resource based on the current information and the historical information.

Optionally, the method further includes: when determining that the target gap unit corresponding to any target service resource distance does not exceed a preset value, increasing an allocation weight of the target service resource for the target service order, the target The starting point of the business order is located in the target gap unit.

According to a second aspect of the embodiments of the present application, an apparatus for service resource allocation is provided, including: a first determining module, configured to determine target information, where the target information includes a service resource surplus of each of one or more surplus units And a quantity of service resource gaps of the one or more gap units, wherein each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance, and each of the gap units is the plurality of And a second determining module, configured to determine a target deployment policy based on the target information, where the target deployment policy is used to indicate that part of the service resources of the target surplus unit are allocated to the target notch unit. .

According to a third aspect of the embodiments of the present application, there is provided a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the method of any of the above first aspects .

According to a fourth aspect of the embodiments of the present application, there is provided an electronic device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, the processor implementing the first The method of any of the aspects.

The technical solution provided by the embodiment of the present application may include the following beneficial effects: by first determining target information, the target information includes a service resource surplus amount of one or more surplus units and a service resource gap amount of each one or more gap units And determining, according to the target information, a target deployment strategy, the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit, thereby effectively reducing the large amount of service resources but the supply is large The distribution of service resources caused by the region is uneven.

The above general description and the following detailed description are intended to be illustrative and not restrictive.

DRAWINGS

The drawings herein are incorporated in and constitute a part of the specification,

FIG. 1 is a schematic structural diagram of a system to which an embodiment of the present application is applied;

2A is a flowchart of a method for service resource allocation according to an exemplary embodiment of the present application;

FIG. 2B is a flowchart of a method for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 3 is a flowchart of a method for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 4 is a flowchart of a method for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 5 is a flowchart of a method for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 6 is a block diagram of an apparatus for service resource allocation according to an exemplary embodiment of the present application; FIG.

FIG. 7 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 8 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 9 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 10 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 11 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 12 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application; FIG.

FIG. 13 is a schematic structural diagram of an electronic device according to an exemplary embodiment of the present application.

detailed description

Exemplary embodiments will be described in detail herein, examples of which are illustrated in the accompanying drawings. The following description refers to the same or similar elements in the different figures unless otherwise indicated. The embodiments described in the following exemplary embodiments do not represent all embodiments consistent with the present application. Instead, they are merely examples of devices and methods consistent with aspects of the present application as detailed in the appended claims.

The terminology used in the present application is for the purpose of describing particular embodiments, and is not intended to be limiting. The singular forms "a", "the" and "the" It should also be understood that the term "and/or" as used herein refers to and encompasses any and all possible combinations of one or more of the associated listed items.

It should be understood that although the terms first, second, third, etc. may be used to describe various information in this application, such information should not be limited to these terms. These terms are only used to distinguish the same type of information from each other. For example, the first information may also be referred to as the second information without departing from the scope of the present application. Similarly, the second information may also be referred to as the first information. Depending on the context, the word "if" as used herein may be interpreted as "when" or "when" or "in response to a determination."

1 is a schematic diagram of a system architecture in which an embodiment of the present application is applied.

As shown in FIG. 1, system architecture 100 can include

terminal devices

101, 102, network 103, and server 104. It should be understood that the number or type of terminal devices, networks, and servers in Figure 1 are merely illustrative. Depending on the implementation needs, there can be any number or type of terminal devices, networks, and servers.

Network 103 provides a communication link between

terminal devices

101, 102 and server 104. Network 103 may include various types of connections, such as wired, wireless communication links, and the like.

The

terminal devices

101, 102 can interact with the server 104 via the network 103 to receive or transmit requests or information and the like. The

terminal devices

101, 102 may be electronic devices including, but not limited to, smartphones, tablets, smart wearable devices, personal digital assistants, and the like.

Server 104 can be a server that provides services. The server 104 may perform processing such as storage, analysis, and the like on the received data, and may also transmit control commands or requests to the

terminal device

101, 102 or other server 104. Server 104 can provide services in response to a user's service request. It will be appreciated that one server 104 may provide one or more services, or multiple servers may provide one service.

The present application will be described in detail below in conjunction with specific embodiments.

FIG. 2A is a flowchart of a method for service resource allocation, which may be applied to a server, according to an exemplary embodiment. The method includes the following steps.

In step 201, target information is determined, the target information including a respective service resource surplus amount of one or more surplus units and a service resource gap amount of each of the one or more gap units. Each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance, and each of the gap units is a unit area in which the service resources in the plurality of unit areas are smaller than the requested unit.

In this embodiment, the services involved may be Internet-based O2O services, such as network car services, shared vehicles (eg, shared bicycles, shared cars, shared electric vehicles, etc.) services, and instant delivery services. It can be understood that the present application does not limit the specific form and type of the service involved. The service resource may be a resource that can provide services to the user currently requesting the service. For example, in a network car service, the service resource may be a driver who provides a passenger service to a passenger. As another example, in a shared vehicle service, the service resource may be a shared vehicle. For another example, in an instant delivery service, the service resource may be a delivery person who delivers the takeaway. It can be understood that the present application does not limit the specific form and type of service resources.

In this embodiment, a plurality of unit regions may be divided in advance. These unit regions may be regular polygon regions of the same shape and size, for example, an equilateral triangle, or a regular quadrilateral, or a regular hexagon or the like. These unit areas may also be fixed placement areas of service resources, such as fixed placement points for shared vehicles. It should be understood that the present application does not limit the specific shape, size and form of the unit area.

In this embodiment, the surplus unit is a unit area in which the service resource has a surplus in the plurality of unit areas, that is, a unit area in which the service resource is larger than the demand. For example, in a network car service, the surplus unit may be a driver who provides a ride service in the unit area and a passenger who needs to take a taxi. The gap unit is a unit area in which the service resources are notched in the plurality of unit areas, that is, a service area is provided for a unit area smaller than the request. For example, in a network car service, the gap unit may be a driver who provides a ride service in the unit area and a passenger who needs to take a taxi.

In this embodiment, the surplus unit and the gap unit in the plurality of unit regions divided in advance may be first determined, and the service resource surplus amount of each surplus unit and the service resource gap amount of each notch unit may be further determined as the target information.

In an implementation manner, a reference quantity of service resources of each unit area may be acquired as a first quantity, and a reference quantity of a service order of each unit area is obtained as a second quantity. Next, the target information is determined based on the first number and the second number of each unit area. The reference quantity of the service resource may be any quantity that can represent the supply quantity of the service resource, and the reference quantity of the service order may be any quantity that can represent the demand quantity of the service resource.

In another implementation, the target information may also be determined in a machine learning manner well known to those skilled in the art. First, the pre-trained model and the target feature information are acquired, and the target feature information is input into the pre-trained model. The target information is then obtained directly from the results of the model output. The target feature information may include, but is not limited to, real-time feature information, such as current time information, current date information, current week information, current weather information, current traffic status information, current service resource supply and demand distribution status information, and each unit. Location information of the area, etc.

It can be understood that the target information can also be determined by any other reasonable manner, which is not limited in this application.

In step 202, a target deployment strategy is determined based on the target information, the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

In this embodiment, the target deployment policy may be any policy that can be used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit. For example, the target provisioning strategy may include the following policy elements: one or more target earnings units in the earnings unit to call up the service resources, one or more target gap units in the gap unit to be loaded into the service resources, and each target The relationship between the surplus unit and one or more target gap units, and the number of service resources called by each target surplus unit to each associated target gap unit. It can be understood that the target deployment strategy may also include any other reasonable policy elements. The specific content of the target deployment strategy is not limited in this application.

In an implementation manner, the target deployment strategy may be determined based on the target information by: first, determining an initial value of the deployment policy based on the target information; and then, using the initial value of the deployment policy as an object of the first adjustment, iteratively adjusting the The deployment strategy; when the condition for stopping the iteration is met, the iteration is stopped and the distribution strategy is output as the target deployment strategy.

In another implementation manner, the target deployment policy may also be determined based on the target information by: firstly, a preset policy generation rule may be acquired, where the policy generation rule may include, but is not limited to, a screening condition of the target earnings unit, A matching condition of the target notch unit is associated with each target surplus unit, an algorithm for determining the number of service resource allocations, and the like; and then, according to the policy generation rule, the target allocation policy is determined based on the target information.

It can be understood that the target deployment strategy can also be determined based on the target information in any other reasonable manner. The specific manner of determining the target deployment strategy is not limited in this application.

The method for service resource allocation provided by this embodiment is to first determine target information, where the target information includes a service resource surplus amount of one or more surplus units and a service resource gap amount of one or more gap units, and then based on The target information determines a target deployment strategy, which is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit, and the target allocation strategy for service resource directed deployment between different unit areas can be obtained, and can be based on The target deployment strategy performs service resource allocation to allocate part of the service resources of the target surplus unit to the target gap unit. In this way, the distribution of service resources is unbalanced due to the movement of service resources to the unit area with large demand but large supply.

2B is a flowchart showing a method for service resource provisioning, which describes a process of guiding service resource provisioning, which may be applied to a server, according to another exemplary embodiment. The method includes the following steps.

In step 211, target information is determined, the target information including a respective service resource surplus amount of one or more surplus units and a service resource gap amount of each of the one or more gap units.

In step 212, a target deployment strategy is determined based on the target information, the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

In step 213, guidance information for provisioning service resources is transmitted based on the target provisioning policy.

In this embodiment, the boot information may be sent based on the target deployment policy. For example, the target provisioning strategy may include the following policy elements: one or more target earnings units to call up the service resource, one or more target gap units to be loaded into the service resource, each target surplus unit and one or more The association relationship of the target gap units, and the number of service resources called by each target surplus unit to each associated target gap unit.

In an implementation manner, first, for any target target unit, determining a target service resource of the target surplus unit, and selecting a target notch unit to be transferred to the target service resource from the target gap unit associated with the target surplus unit . Then, the corresponding boot information is sent to the client of the target service resource. The number of target service resources is the sum of the number of service resources that the target earnings unit can call out to all associated target gap units.

For example, taking the network car service as an example, firstly, some drivers in the target surplus unit can be determined as the target service resources to be allocated (hereinafter referred to as target drivers) of the target surplus unit, and the target corresponding to each target driver is determined. Notch unit. Then, the corresponding driver information is sent to the driver-side client corresponding to each target driver, and the guiding information may be the location information of the target notch unit corresponding to the target driver, or may be the target driver driving to the corresponding target notch unit. Path information. In this way, the target driver can run to the corresponding target notch unit under the guidance of the guidance information.

In another implementation manner, the service resource adjustment formula corresponding to each target surplus unit may also be determined, and the corresponding guidance information may be sent to the client of the service resource adjustment formula.

For example, taking a shared vehicle service as an example, it is possible to determine a shared vehicle emission person corresponding to each target surplus unit. Then, sending, to each client sharing the vehicle emission personnel, corresponding guiding information, which may include, but is not limited to, location information of the target notch unit associated with the target surplus unit, and the target surplus unit to the associated target notch unit The number of shared vehicles that are called up, etc. The shared vehicle emission personnel may, under the guidance of the guidance information, redeploy the shared vehicle in the target surplus unit to the associated target gap unit.

It can be understood that the guiding information can be sent based on the target deployment policy in any other reasonable manner, which is not limited in this application.

It should be noted that the same steps as those in the embodiment of FIG. 2A are not described in the foregoing embodiment of FIG. 2B. For related content, refer to the embodiment of FIG. 2A.

The method for service resource allocation provided by this embodiment first determines target information, and then determines a target deployment policy based on the target information, and sends guidance information for deploying service resources based on the target deployment policy, so that part of the surplus unit can be made. The service resources are timely allocated to the gap unit, which effectively alleviates the uneven distribution of service resources caused by the convergence of service resources to areas with large demand but large supply.

FIG. 3 is a flowchart of a method for service resource allocation according to another exemplary embodiment, which describes a process of determining a target provisioning policy, which may be applied to a server, including the following steps:

In step 301, target information is determined, the target information including a service resource surplus of each of the one or more surplus units and a service resource gap amount of each of the one or more gap units.

In step 302, an initial value of the deployment strategy is determined based on the target information.

In this embodiment, the provisioning strategy may include the following policy elements: a target surplus unit, a target gap unit, an association relationship between the target surplus unit and the target gap unit, and a quantity of service resources called by the target surplus unit to the associated target gap unit. Wherein, any one of the target surplus unit, any one of the target notch units, any one of the target surplus units and any associated target notch unit, and any one of the target surplus units to call out to any associated target notch unit The number of resources can be used as a policy element.

In this embodiment, the initial value of the deployment policy may be determined based on the target information. In one implementation, the initial value of the provisioning strategy may be determined in a manner that generates a random number. In another implementation, a greedy algorithm may also be employed to determine an initial value of the provisioning strategy. It can be understood that the initial value of the deployment strategy may also be determined in any other reasonable manner. The specific manner of determining the initial value of the deployment strategy is not limited in this application.

The constraint condition may be determined first, and then the initial value of the deployment strategy is determined based on the target information according to the constraint condition. The constraint may include one or more of the following: the total number of service resources called by each target surplus unit is less than or equal to the service resource surplus of the target surplus unit, and the total amount of service resources of each target gap unit is transferred to the service resource. The quantity is less than or equal to the service resource gap amount of the target gap unit, and the distance between each target surplus unit and any associated target gap unit is less than a preset distance.

In step 303, the initial value of the deployment policy is used as the object of the first adjustment, and the deployment strategy is iteratively adjusted, so that the target parameter corresponding to the adjustment strategy is smaller than the target parameter corresponding to the pre-adjustment deployment strategy.

In this embodiment, the initial value of the deployment strategy is used as the object of the first adjustment, and the deployment strategy is iteratively adjusted. Specifically, each time the provisioning strategy is adjusted, the policy element of the provisioning policy may be first determined, and then any one or more of the policy elements may be adjusted.

For example, suppose that the policy elements corresponding to the deployment strategy include target surplus units A, C, E, F, target gap units B, D, G, H, and the target surplus unit A has a relationship with the target gap unit B, and the target surplus unit A The number of service resources m, the target surplus unit C has a relationship with the target gap unit D, the number of service resources n that the target surplus unit C calls, and so on. When adjusting the deployment strategy, any one or more policy elements may be adjusted. For example, the policy element "target surplus unit A and target gap unit B may be associated with each other" may be adjusted to "target surplus unit A and target gap unit". D has an association relationship, and the policy element "target surplus unit C has a relationship with the target gap unit D" is adjusted to "the target surplus unit C has a relationship with the target gap unit B". It is also possible to adjust the policy element "target surplus unit A and target gap unit B" to "target surplus unit A and target gap unit G have an association relationship", or to strategy element "target surplus unit C and target gap unit D" The relationship has been adjusted to "the target surplus unit E has a relationship with the target gap unit D". It is also possible to adjust the policy element "the number of service resources m called by the target surplus unit A" to "the number of service resources s called by the target surplus unit A", or the number of service resources called by the target element "target surplus unit C" "Adjust to the number of service resources t called by the target surplus unit C". It is also possible to increase the policy element "the target surplus unit E has a relationship with the target gap unit G" or to add the policy element "the target surplus unit F has a relationship with the target gap unit H". It is also possible to delete the policy element "target surplus unit A has a relationship with target gap unit B" or delete the policy element "target surplus unit C has a relationship with target gap unit D". It can be understood that the adjustment strategy can be adjusted by adjusting any one or more policy elements. The specific manner for adjusting the deployment strategy is not limited in this application.

In this embodiment, each time the deployment strategy is adjusted, the target parameter corresponding to the adjusted deployment strategy needs to be smaller than the target parameter corresponding to the pre-adjustment deployment strategy. Among them, the target parameter can be any parameter that can measure the pros and cons of the deployment strategy. For example, the total deployment distance corresponding to the deployment strategy (that is, the sum of the deployment distances of the various service resources involved in the deployment strategy) can measure the pros and cons of the deployment strategy to a certain extent. Moreover, the smaller the total deployment distance, the better the corresponding deployment strategy. Therefore, the target parameter can be a parameter that is positively correlated with the total deployment distance. For another example, the total imbalance amount corresponding to the deployment strategy (that is, the sum of the imbalances of the service resources after the deployment strategy is implemented) can also measure the pros and cons of the deployment strategy to a certain extent. Moreover, the smaller the total imbalance, the better the corresponding deployment strategy. Therefore, the target parameter can also be a parameter that is positively correlated with the total imbalance.

Alternatively, the target parameter may be positively correlated with the total blending distance and the total imbalance amount. The target parameter can be calculated using the objective function, and the objective function can be expressed as:

J=M+c*L

Where J is the target parameter, M is the total imbalance quantity, c is a preset penalty coefficient, the penalty coefficient is an empirical value, and L is the total deployment distance.

The total imbalance amount corresponding to the deployment strategy may be calculated by determining a surplus unit of the allocation strategy and a service resource surplus amount of each surplus unit, and a service resource gap amount of the gap unit and each gap unit; Calculate the sum of all service resource gaps, the total imbalance amount corresponding to the deployment strategy, or calculate the sum of all service resource gaps and all service resource surpluses as the total imbalance amount corresponding to the deployment strategy. It can be understood that the total imbalance of the service resources after the implementation of the deployment strategy can be calculated in any other reasonable manner, which is not limited in this application.

In step 304, when the preset stop iteration condition is met, the iteration is stopped and the deployment strategy is output as the target deployment strategy, and the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

In this embodiment, the stopping the iteration condition may include, but is not limited to, the number of iterations being greater than or equal to the preset number of times, the target parameter being less than or equal to the preset threshold, indicating that the objective function of the target parameter converges, and the like. It can be understood that the stopping of the iterative condition may be any reasonable condition, which is not limited in this application.

It should be noted that the same steps as those in the embodiment shown in FIG. 2A and FIG. 2B are not described in the embodiment shown in FIG. 3, and the related content can be referred to the embodiment shown in FIG. 2A and FIG. 2B.

The method for service resource allocation provided by this embodiment determines the target information by first determining the target information, and then determines the initial value of the deployment policy as the object of the first adjustment based on the target information, and iteratively adjusts the deployment strategy to make the adjustment strategy after each adjustment. The corresponding target parameter is smaller than the target parameter corresponding to the pre-adjustment deployment strategy, and when the preset stop iteration condition is met, stopping the iteration and outputting the deployment strategy as the target deployment strategy can optimize the final target deployment strategy.

FIG. 4 is a flowchart of a method for service resource allocation according to another exemplary embodiment. The embodiment describes in detail a process of determining target information, and the method may be applied to a server, including the following steps:

In step 401, a first quantity and a second quantity of the unit area are obtained for each unit area, where the first quantity is a reference quantity of a service resource in the unit area, and the second quantity is the unit area The reference quantity of the business order within.

In an implementation manner, the number of available service resources and the number of service orders in each unit area in the previous preset time period may be obtained as the first quantity and the second quantity of the unit area, respectively.

In another implementation manner, the number of available service resources and the number of service orders in each unit area in a future preset time period may also be predicted as the first quantity and the second quantity of the unit area, respectively. For example, the number of available service resources per unit area and the number of service orders within a future time period may be predicted in a machine learning manner well known to those skilled in the art as the first quantity and the second quantity of the unit area, respectively.

In yet another implementation, the first number can include a first real-time quantity and a first predicted quantity, and the second quantity can include a second real-time quantity and a second predicted quantity. The day may be divided into a plurality of time slices in advance, and the number of available service resources and the number of service orders corresponding to each unit area in the previous one or consecutive time slices are obtained as the first real-time quantity and the second real-time quantity, respectively. Then, the number of available service resources and the number of service orders corresponding to each unit area in one or more consecutive time slices are predicted as the first predicted quantity and the second predicted quantity respectively.

It is to be understood that the first quantity and the second quantity of each of the plurality of unit areas that are pre-divided may be obtained by any other reasonable manner, which is not limited in this application.

In step 402, it is determined whether the unit area is the surplus unit or the gap unit based on the first quantity and the second quantity of each unit area, and the corresponding service resource surplus amount and the service resource gap amount.

In an implementation manner, if the first quantity and the second quantity are respectively the quantity of available service resources and the number of service orders in each unit area in the previous preset time period, or respectively, each of the preset time periods in the future The prediction of the number of available service resources in the unit area and the number of business orders can be determined by the following methods. For any unit area, if the product of the second quantity of the unit area and the first coefficient is greater than the first quantity, the unit area is determined to be a notch unit, and the first product is subtracted The difference between the first quantity of the unit area is determined as the service resource gap amount of the gap unit; if the product of the second quantity of the unit area and the second coefficient is less than the first quantity as the second product, determining the unit area The surplus unit is determined by subtracting the difference between the first quantity of the unit area and the second product as the service resource surplus of the surplus unit. Wherein the first coefficient is less than or equal to the second coefficient. Moreover, the first coefficient and the second coefficient may be preset empirical values, and may be any reasonable value. The specific values of the first coefficient and the second coefficient are not limited in the present application.

In another implementation, if the first quantity includes the first real-time quantity and the first predicted quantity, and the second quantity includes the second real-time quantity and the second predicted quantity, the target information may be determined in the following manner. For any unit area, the following operations are performed: determining, according to the first real-time quantity and the second real-time quantity of the unit area, whether the current supply and demand type of the unit area is a surplus or a gap, and determining a corresponding service resource surplus or a service resource gap. And determining, according to the first predicted quantity and the second predicted quantity of the unit area, whether the future supply and demand type of the unit area is a surplus or a gap, and determining a corresponding service resource surplus or a service resource gap quantity.

In this way, if the current and future supply and demand types of the unit area are surplus, the unit area may be determined as a surplus unit, and the service resource of the surplus unit may be determined based on the current service resource surplus amount and the future service resource surplus amount. The amount of surplus. For example, the larger value between the current service resource surplus and the future service resource surplus may be used as the service resource surplus of the earnings unit; or, the current service resource surplus and the future service resource surplus may be The smaller value is used as the service resource surplus of the surplus unit; or, the average or weighted average of the current service resource surplus and the future service resource surplus is used as the service resource surplus of the surplus unit.

Similarly, if the current and future supply and demand types of the unit area are gaps, the unit area may be determined as a gap unit, and the service of the gap unit may be determined based on the current service resource gap amount and the future service resource gap amount. The amount of resource gaps. For example, the larger value between the current service resource gap amount and the future service resource gap amount may be used as the service resource gap amount of the gap unit; or, the current service resource gap amount and the future service resource gap amount may be The smaller value is used as the service resource gap amount of the gap unit; or the average value or weighted average of the current service resource gap amount and the future service resource gap amount is used as the service resource gap amount of the gap unit.

In step 403, a target deployment strategy is determined based on the target information, and the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

It should be noted that the same steps as those in the embodiment shown in FIG. 2A to FIG. 3 are not described in the embodiment shown in FIG. 4, and the related content can be referred to the embodiment shown in FIG. 2A to FIG.

The method for service resource allocation provided by this embodiment is to first obtain a first quantity and a second quantity of each unit area in a plurality of unit areas that are pre-divided, where the first quantity is a reference quantity of a service resource, and the first quantity is The second quantity is the reference quantity of the business order, and then the target information is determined based on the first quantity and the second quantity of each unit area, the target information includes the service resource surplus amount of each surplus unit in the unit area and the service of each notch unit The amount of resource gaps can lead to more reasonable target information, making the target allocation strategy better.

FIG. 5 is a flowchart illustrating a method for service resource provisioning according to another exemplary embodiment, which describes a process of transmitting guidance information for guiding service resource allocation based on a target provisioning policy, which may Applied to the server, including the following steps.

In step 501, target information is determined, the target information including a service resource surplus of each of the one or more surplus units and a service resource gap amount of the one or more gap units.

In step 502, a target deployment strategy is determined based on the target information, the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

In this embodiment, the target deployment strategy may include the following policy elements: a target earnings unit, a target gap unit, an association relationship between the target earnings unit and the target gap unit, and a quantity of service resources that the target earnings unit calls out to the associated target gap unit. .

In step 503, for any target surplus unit, the target service resource to be allocated of the target surplus unit is determined, and the target gap unit corresponding to each target service resource is selected from the target gap unit associated with the target surplus unit.

In this embodiment, for any target surplus unit, first, the target service resource to be allocated of the target surplus unit may be determined. The number of target service resources is the sum of the number of service resources that the target earnings unit calls out to all associated target gap units. The target service resource may be a user who is currently able to provide a service. Taking the network car service as an example, the target service resource may be a driver currently in an available state.

Specifically, current information and historical information of all service resources located in the target surplus unit may be obtained, and the target service resource is selected based on current information and historical information of each service resource. The current information of the service resource may include, but is not limited to, the duration of the current service resource that has been in an idle state, and the like. The history information of the service resource may include, but is not limited to, the number of times the service resource has received the guidance information, the time interval from the last reception of the guidance information to the current time, the probability of obeying the guidance operation after receiving the guidance information, and the like.

For example, when the target service resource is selected, a preset scoring rule may be acquired, and each service resource is scored according to the scoring rule and the current information and historical information of each service resource. All service resources are sorted according to the score of each service resource, and the more scores, the higher the ranking. Then select the target service resource from front to back according to the order of the service resources. The longer the duration of the service resource that has been in the idle state for any one of the service resources, the less the number of times the guidance information has been received on the current day, and the longer the time interval from the last reception of the guidance information to the current time, the received time The greater the probability that the guidance message is subject to the bootstrap operation, the more the service resource gets the score.

Then, the target gap unit corresponding to each target service resource is selected from the target gap unit associated with the target surplus unit. In an implementation manner, the target gap unit corresponding to each target service resource may be randomly allocated from the target gap unit associated with the target surplus unit. In another implementation manner, the target gap unit matching the target service resource may be selected from the target gap unit associated with the target surplus unit according to the historical behavior data of each target service resource, as the target service resource corresponding to the target service resource. Target gap unit. For example, the favorite location and/or the contraindication location of the target service resource may be determined according to the historical behavior data of the target service resource, and then the target gap unit is selected according to the favorite location and/or the taboo location of the target service resource. For example, the notch unit of the preferred location of the target service resource is selected as the target gap unit; and the notch unit of the taboo location of the target service resource is avoided as the target gap unit. It can be understood that the target notch unit corresponding to each target service resource can also be selected in any other reasonable manner, which is not limited in this application.

In step 504, corresponding guiding information is sent to each target service resource, where the guiding information includes information of a target notch unit corresponding to the target service resource.

In this embodiment, corresponding guiding information may be sent to each target service resource, where the guiding information may include information of a target notch unit corresponding to the target service resource. Optionally, the guiding information may further include path information that the target service resource runs to the corresponding target notch unit.

Taking the network car service as an example, the guidance information may be sent to each target driver, and the guidance information may be the geographical location information of the target gap unit corresponding to the target driver. The guiding information may also be path information of the target driver traveling to the corresponding target notch unit.

It should be noted that the same steps as those in the embodiment shown in FIG. 2A to FIG. 4 are not described in the embodiment shown in FIG. 5, and the related content can be referred to the embodiment shown in FIG. 2A to FIG.

The method for service resource allocation provided by this embodiment determines the target information by first determining the target information, and then determining a target allocation policy of the service resource based on the target information, where the target allocation policy is used to indicate that part of the service resources of the target surplus unit are allocated to the target a gap unit, and for any target surplus unit, determining a target service resource to be allocated for the target surplus unit, selecting a target gap unit corresponding to each target service resource from the target gap unit associated with the target surplus unit, and finally The target service resources send corresponding guiding information, so that the pushing of the guiding information is more accurate, thereby improving the utilization of the guiding information, so as to improve the execution probability of the target deployment strategy.

In some optional implementations, after the guiding information for guiding the service resource allocation is sent based on the target provisioning policy, the following may further be performed: when determining that the target notch unit corresponding to any target service resource distance does not exceed a preset value, That is, when the target service resource is within a preset range around the corresponding target gap unit, the allocation weight of the target service resource for the target service order is increased, and the starting point of the target service order is located in the target gap unit.

Taking the network car service as an example, after the guidance information is sent based on the target deployment strategy, the location information of each target driver can be further monitored. When it is determined that the target gap unit corresponding to any target driver distance does not exceed the preset value, if it is required to allocate the approximate vehicle order whose starting point is located in the target gap unit, the target driver may obtain the distribution weight of the approximate vehicle order, thereby The probability that the target driver is assigned to the order for the car is increased.

Therefore, when determining that the target gap unit corresponding to any target service resource distance does not exceed a preset value, instead of waiting for the target service resource to reach the corresponding target gap unit, increasing the allocation weight of the target service resource for the target service order, therefore, The probability of being able to allocate the target service resource to the target business order is increased, thereby improving service efficiency.

It should be noted that although the operations of the method of the present application have been described in a particular order in the above-described embodiments, this does not require or imply that the operations must be performed in that particular order, or that all of the operations shown must be performed to achieve the desired the result of. Instead, the steps depicted in the flowcharts can change the order of execution. Additionally or alternatively, certain steps may be omitted, multiple steps being combined into one step, and/or one step being broken down into multiple steps.

Corresponding to the aforementioned method embodiments for service resource provisioning, the present application also provides an embodiment of an apparatus for service resource provisioning.

FIG. 6 is a block diagram of an apparatus for service resource allocation, which is applied to a server, according to an exemplary embodiment. The apparatus may include a first determining module 601 and a second determining module 602.

The first determining module 601 is configured to determine target information, where the target information includes a service resource surplus of each of the one or more surplus units and a service resource gap amount of each of the one or more gap units. Each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance, and each of the gap units is a unit area in which the service resources in the plurality of unit areas are smaller than the requested unit.

The second determining module 602 is configured to determine, according to the target information, a target deployment policy, where the target deployment policy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.

FIG. 7 is a block diagram of an apparatus for service resource allocation, which is applied to a server, according to another exemplary embodiment. On the basis of the foregoing embodiment shown in FIG. 6, the second determining module 602 may include: a first determining submodule 701, an adjusting submodule 702, and an output submodule 703.

The first determining sub-module 701 is configured to determine an initial value of the deployment policy based on the target information.

The adjustment sub-module 702 is configured to adjust the deployment strategy by using the initial value of the deployment policy as the first adjustment object, so that the target parameter corresponding to the adjustment strategy is smaller than the target parameter corresponding to the pre-adjustment deployment strategy. The target parameter is any parameter that can measure the pros and cons of the deployment strategy.

The output sub-module 703 is configured to stop the iteration when the preset stop iteration condition is met, and output the deployment strategy as the target deployment strategy.

In some optional implementations, the provisioning policy includes the following policy elements: a target earnings unit, which is at least one of the surplus units to which the service resource is to be called, and a target gap unit, which is at least one of the gaps to be called into the service resource. Unit; the relationship between the target surplus unit and the target gap unit; and the number of service resources that the target earnings unit calls out to the associated target gap unit.

In other optional implementation manners, the first determining submodule 701 is configured to: acquire a preset constraint, and determine an initial value of the deployment policy based on the target information according to the constraint condition.

In other optional implementations, the constraint may include one or more of the following:

The total amount of service resources called by each target surplus unit is less than or equal to the service resource surplus of the target surplus unit;

The total number of service resources per target gap unit is less than or equal to the service resource gap of the target gap unit;

The distance between each target surplus unit and any associated target notch unit is less than a preset distance.

In other optional implementation manners, the adjustment sub-module 702 adjusts the deployment policy by determining a policy element corresponding to the deployment policy and adjusting any one or more policy elements.

In still other alternative embodiments, the target parameter is positively correlated with the total deployment distance and/or positively correlated with the total imbalance amount. The total deployment distance is the sum of the deployment distances of the service resources involved in the deployment strategy corresponding to the target parameter, and the total imbalance quantity is the sum of the imbalance amounts of the service resources after performing the deployment strategy corresponding to the target parameter.

FIG. 8 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application, the apparatus being applied to a server. On the basis of the foregoing embodiment shown in FIG. 6, the first determining module 601 may include: a first obtaining submodule 801 and a second determining submodule 802.

The first obtaining sub-module 801 is configured to obtain, for each of the unit areas, a first quantity and a second quantity of the unit area, where the first quantity is a reference quantity of service resources in the unit area, where The second quantity is the reference quantity of the business order within the unit area.

a second determining sub-module 802, configured to determine, according to the first quantity and the second quantity of each unit area, whether the unit area is the surplus unit or the gap unit, and the corresponding service resource surplus amount and the service The amount of resource gaps.

In another optional implementation manner, the second determining submodule 802 is configured to: if the product of the second quantity of the unit area and the first coefficient is greater than the first quantity of the unit area, the determining The unit area is a notch unit, and the difference obtained by subtracting the first quantity of the unit area from the first product is determined as the service resource gap amount of the unit area. If the product of the second quantity of the unit area and the second coefficient is less than the first quantity of the unit area as the second product, determining that the unit area is a surplus unit, and subtracting the second quantity from the first quantity of the unit area The resulting difference is determined as the service resource surplus of the unit area, wherein the first coefficient is less than or equal to the second coefficient.

FIG. 9 is a block diagram of an apparatus for service resource allocation according to another exemplary embodiment of the present application, the apparatus being applied to a server. Based on the foregoing embodiment shown in FIG. 6, the apparatus may further include: a sending module 603.

The sending module 603 is configured to send, according to the target deployment policy, boot information for deploying a service resource.

FIG. 10 is a block diagram of an apparatus for service resource allocation, which is applied to a server, according to another exemplary embodiment. Based on the foregoing embodiment shown in FIG. 9, the sending module 603 may include: a traversing submodule 1001 and a pushing submodule 1002.

The traversal sub-module 1001 is configured to determine, for any target surplus unit, a target service resource to be allocated of the target surplus unit, and select, according to the target gap unit associated with the target surplus unit, each target service providing resource. Target gap unit.

The pushing sub-module 1002 is configured to send a corresponding guiding information to each target service providing resource, where the guiding information includes information of a target notch unit corresponding to the target service providing resource.

In another optional implementation manner, the traversal sub-module 1001 determines the target service resource to be allocated of the target surplus unit by acquiring current information and historical information of each service resource located in the target surplus unit, where The current information includes, but is not limited to, the duration of the service resource that has been in an idle state, and the history information includes, but is not limited to, the number of times the service resource has received the guidance information, and the guidance is received from the previous time. The time interval from the information to the current time, the probability of obeying the guiding operation after receiving the guiding information. Select target service resources based on current information and historical information.

FIG. 11 is a block diagram of an apparatus for service resource provisioning, which is applied to a server, according to another exemplary embodiment. Based on the foregoing embodiment shown in FIG. 9, the apparatus may further include: an allocation module 604.

The allocating module 604 is configured to: when determining that the target gap unit corresponding to any target service resource distance does not exceed a preset value, increase an allocation weight of the target service resource for the target service order, where the starting point of the target service order is located at the target In the notch unit.

FIG. 12 is a block diagram of an apparatus for service resource allocation, which is applied to a server, according to another exemplary embodiment. On the basis of the foregoing embodiment shown in FIG. 6, the first determining module 601 may include: a second obtaining submodule 1201, a third obtaining submodule 1202, and a third determining submodule 1202.

The second obtaining sub-module 1201 is configured to obtain, for each of the unit areas, a first real-time quantity and a second real-time quantity of the unit area. The first real-time quantity is a reference quantity of service resources of the unit area in a preset time period, and the second real-time quantity is a reference of a service order of the unit area in the previous preset time period. Quantity.

a third obtaining sub-module 1202, configured to acquire, for each of the unit areas, a first predicted quantity and a second predicted quantity of the unit area, where the first predicted quantity is a preset time for the unit area in the future A prediction of a reference quantity of service resources within the segment, the second predicted quantity being a prediction of a reference quantity of the business order for the unit area within the future preset time period.

a third determining sub-module 1203, configured to determine, according to the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity of each of the unit areas, that the unit area is The surplus unit is also the gap unit, and the corresponding service resource surplus amount and the service resource gap amount.

In another optional implementation manner, the third determining submodule 1203 further includes: if based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second prediction Determining that the unit area is the surplus unit, determining that the unit area is the surplus unit, and based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second The predicted quantity determines the service resource surplus amount of the surplus unit; if the unit area is determined based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second predicted quantity For the gap unit, determining that the unit area is the gap unit, and determining the gap unit based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity. The amount of the service resource gap.

It should be understood that the above device may be preset in the server, or may be loaded into the server by downloading or the like. Corresponding modules in the above described devices can interact with modules in the server to implement a solution for service resource provisioning.

For the device embodiment, since it basically corresponds to the method embodiment, reference may be made to the partial description of the method embodiment. The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separate, and the components displayed as units may or may not be physical units, ie may be located A place, or it can be distributed to multiple network units. Some or all of the modules may be selected according to actual needs to achieve the objectives of the present application. Those of ordinary skill in the art can understand and implement without any creative effort.

The embodiment of the present application further provides a computer readable storage medium, where the storage medium stores a computer program, and the computer program can be used to execute the method for service resource allocation provided by any of the embodiments shown in FIG. 2A to FIG. .

Corresponding to the foregoing method for service resource allocation, the embodiment of the present application further provides a schematic structural diagram of the electronic device according to an exemplary embodiment of the present application shown in FIG. 13 . Referring to FIG. 13, at the hardware level, the electronic device includes a processor 1301, an internal bus 1304, a network interface 1305, a memory 1302, and a non-volatile memory 1303, and of course may also include hardware required for other services. The processor 1301 reads the corresponding computer program from the non-volatile memory 1303 into the memory 1302 and then runs to form a service resource provisioning on the logic level for performing the foregoing embodiment shown in any of the embodiments shown in FIG. 2A to FIG. s installation.

Of course, in addition to the software implementation, the present application does not exclude other implementations, such as a logic device or a combination of software and hardware, etc., that is, the execution body of the above processing flow is not limited to each logical unit, and may be Hardware or logic device.

Other embodiments of the present application will be readily apparent to those skilled in the <RTIgt; The application is intended to cover any variations, uses, or adaptations of the application, which are in accordance with the general principles of the application and include common general knowledge or common technical means in the art that are not disclosed herein. . The specification and examples are to be regarded as illustrative only,

It is to be understood that the invention is not limited to the details of the details and The scope of the present application is limited only by the accompanying claims.

Claims

A method for service resource provisioning, applied to a server, comprising:

Determining target information, where the target information includes a service resource surplus of one or more surplus units and a service resource gap amount of one or more gap units, wherein

Each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance,

Each of the notch units is a unit area in which the service resources in the plurality of unit areas are less than requested;

Determining a target deployment strategy based on the target information, the target deployment strategy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.
The method of claim 1 wherein the provisioning strategy comprises the following policy elements:

The target surplus unit is at least one of the surplus units for which a service resource is to be called out;

The target gap unit is at least one of the gap units to be loaded into a service resource;

An association relationship between the target surplus unit and the target gap unit;

The number of service resources that the target surplus unit calls to the associated target gap unit.
The method according to claim 2, wherein determining the target deployment policy based on the target information comprises:

Determining an initial value of the deployment strategy based on the target information;

The initial value of the provisioning policy is used as the object of the first adjustment, and the matching strategy is iteratively adjusted, so that the target parameter corresponding to the adjusted deployment strategy is smaller than the target parameter corresponding to the deployment strategy before the adjustment, where The target parameter is any parameter capable of measuring the pros and cons of the deployment strategy;

When the preset stop iteration condition is satisfied, the iteration is stopped, and the deployment strategy is output as the target deployment strategy.
The method of claim 3, wherein adjusting the provisioning strategy comprises:

Determining the policy element corresponding to the deployment policy;

Adjust any one or more of the policy elements.
The method according to claim 3, wherein determining an initial value of the provisioning policy based on the target information comprises:

Obtain the preset constraints;

An initial value of the provisioning policy is determined based on the target information according to the constraint.
The method of claim 5 wherein the constraint comprises one or more of the following:

Each of the target surplus units recalls a total amount of service resources that is less than or equal to the service resource surplus of the target surplus unit;

The total number of service resources per call target unit of the target gap unit is less than or equal to the service resource gap amount of the target gap unit;

The distance between each of the target surplus units and any of the associated target notch units is less than a preset distance.
The method of claim 3 wherein said target parameter is positively correlated with at least one of:

a total deployment distance, wherein the total deployment distance is a sum of deployment distances of respective service resources involved in the deployment strategy corresponding to the target parameter;

The total imbalance amount, wherein the total imbalance amount is a sum of the imbalance amounts of the service resources after performing the deployment strategy corresponding to the target parameter.
The method according to any one of claims 1-7, wherein determining the target information comprises:

Obtaining, for each of the unit areas, a first quantity and a second quantity of the unit area, where

The first quantity is a reference quantity of service resources in the unit area,

The second quantity is a reference quantity of a business order in the unit area;

Determining whether the unit area is the surplus unit or the gap unit based on the first quantity and the second quantity of each of the unit areas, and corresponding amount of the service resource surplus and the service resource gap .
The method according to claim 8, wherein the unit area is the surplus unit or the notch unit based on the first quantity and the second quantity of the unit area, and corresponding The amount of service resource surplus and the amount of the service resource gap, including:

If the product of the second quantity of the unit area and the first coefficient is greater than the first quantity of the unit area as the first product, determining that the unit area is the notch unit, and subtracting the first product The difference obtained by the first quantity of the unit area is determined as the service resource gap amount of the gap unit;

If the product of the second quantity of the unit area and the second coefficient is less than the first quantity of the unit area as the second product, determining that the unit area is the surplus unit, and the The difference obtained by subtracting the second product from the first quantity is determined as the service resource surplus amount of the unit area, wherein the first coefficient is less than or equal to the second coefficient.
The method according to any one of claims 1-7, wherein determining the target information comprises:

Obtaining, for each of the unit areas, a first real-time quantity and a second real-time quantity of the unit area, where

The first real-time quantity is a reference quantity of service resources of the unit area in a preset time period,

The second real-time quantity is a reference quantity of the service order of the unit area in the previous preset time period;

Obtaining, for each of the unit areas, a first predicted quantity and a second predicted quantity of the unit area, where

The first predicted quantity is a prediction of a reference quantity of service resources of the unit area in a preset preset time period,

The second predicted quantity is a prediction of a reference quantity of a service order of the unit area in the future preset time period;

Determining whether the unit area is the surplus unit or the gap unit based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity of each of the unit areas, And the corresponding amount of the service resource surplus and the service resource gap.
The method according to claim 10, wherein the unit area is determined based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity of the unit area Is the surplus unit or the gap unit, and the corresponding service resource surplus amount and the service resource gap amount, including:

If the unit area is determined as the surplus unit based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second predicted quantity, determining that the unit area is the a surplus unit, and determining the service resource surplus amount of the surplus unit based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity;

If the unit area is determined as the gap unit based on the first real-time quantity and the second real-time quantity, and based on the first predicted quantity and the second predicted quantity, determining that the unit area is the And a gap unit, and determining the service resource gap amount of the gap unit based on the first real-time quantity, the second real-time quantity, the first predicted quantity, and the second predicted quantity.
The method according to any one of claims 2-11, wherein the method further comprises:

Boot information for provisioning service resources is transmitted based on the target provisioning policy.
The method according to claim 12, wherein the sending the guiding information based on the target deployment policy comprises:

Determining a target service resource to be allocated of the target surplus unit for any of the target surplus units, and selecting the target gap corresponding to each target service resource from the target gap unit associated with the target surplus unit unit;

Transmitting the corresponding guiding information to each of the target service resources, where the guiding information includes information of the target notch unit corresponding to the target service resource.
The method according to claim 13, wherein the determining the target service resource to be allocated of the target surplus unit comprises:

Obtaining current information and historical information of each service resource located in the target surplus unit, wherein

The current information includes, but is not limited to, a duration in which the service resource is already in an idle state.

The historical information includes, but is not limited to, the number of times the service resource has received the guidance information, the time interval from the last reception of the guidance information to the current time, and the probability of obeying the guiding operation after receiving the guidance information;

And selecting the target service resource based on the current information and the historical information.
The method according to claim 13 or 14, wherein the method further comprises:

When it is determined that the target gap unit corresponding to the target service resource distance does not exceed a preset value, the allocation weight of the target service resource for the target service order is increased, and the starting point of the target service order is located in the target gap unit. .
A device for service resource allocation, applied to a server, comprising:

a first determining module, configured to determine target information, where the target information includes a service resource surplus of each of the one or more surplus units and a service resource gap of each of the one or more gap units, where

Each of the surplus units is a unit area in which a service resource is exceeded in a plurality of unit areas divided in advance,

Each of the notch units is a unit area in which the service resources in the plurality of unit areas are less than requested;

And a second determining module, configured to determine a target deployment policy based on the target information, where the target deployment policy is used to indicate that part of the service resources of the target surplus unit are allocated to the target gap unit.
A computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the method of any of the preceding claims 1-15.
An electronic device comprising a memory, a processor, and a computer program stored on the memory and operable on the processor, wherein the processor executes the program to implement the above claims 1-15 The method of any of the preceding claims.