WO2024082406A1

WO2024082406A1 - Traffic distribution method and apparatus, and storage medium and device

Info

Publication number: WO2024082406A1
Application number: PCT/CN2022/138523
Authority: WO
Inventors: 郑雄飞
Original assignee: 湖南快乐阳光互动娱乐传媒有限公司
Priority date: 2022-10-18
Filing date: 2022-12-13
Publication date: 2024-04-25
Also published as: CN115633001A

Abstract

Disclosed in the present application are a traffic distribution method and apparatus, and a storage medium and a device. The method comprises: parsing a service request, which is sent by a client, so as to obtain a target service item; acquiring a service provider list of the target service item from a preset database; determining a target service provider on the basis of the weight of each service provider in the service provider list; and distributing traffic of the target service item to the target service provider. By means of the method, the weight of each service provider in a service provider list is determined on the basis of an influencing factor associated with the quality of service of each service provider, and a target service provider is selected, as a traffic distribution object of a target service item, from the service provider list according to the weight of each service provider. Compared with the prior art, the selection of the target service provider is more objective, such that it can be effectively ensured that a client can obtain a high-quality service after traffic distribution is performed.

Description

Traffic distribution method, device, storage medium and equipment

This application claims priority to the Chinese patent application filed with the China Patent Office on October 18, 2022, with application number 202211272986.9 and invention name “Traffic distribution method, device, storage medium and equipment”, the entire contents of which are incorporated by reference in this application.

Technical Field

The present application relates to the field of Internet technology, and in particular to a traffic distribution method, device, storage medium and equipment.

Background technique

Currently, most Internet industries require cloud services, text messages, advertising and other capabilities, and there are many manufacturers on the market that can provide the same capabilities. If multiple service providers are shortlisted, the issue of traffic distribution will arise.

The existing traffic distribution method usually requires manual determination of the traffic proportion of each service provider. However, it is difficult to ensure that clients receive high-quality services by only referring to manual experience for traffic distribution.

Therefore, how to ensure that the client can obtain high-quality services after traffic distribution has become an urgent problem to be solved in this field.

Summary of the invention

The present application provides a traffic distribution method, apparatus, storage medium and device, the purpose of which is to ensure that a client can obtain high-quality services after traffic distribution.

In order to achieve the above objectives, this application provides the following technical solutions:

A flow distribution method, comprising:

Parse the service request sent by the client and obtain the target service item;

Obtaining a list of service providers for the target service project from a preset database; the list of service providers includes multiple service providers that provide service capabilities for the target service project, as well as a weight and a sequence number of each of the service providers; the weight is calculated based on an influencing factor associated with the service quality of the service provider;

Determining a target service provider based on the weight of each service provider in the service provider list;

Allocate the traffic of the target service item to the target service provider.

Optionally, parsing the service request sent by the client to obtain the target service item includes:

One or more service requests sent by different types of clients are saved in a preset request queue, and the request time of each of the service requests is recorded;

According to the order of request time from earliest to latest, the service requests in the preset request queue are analyzed in sequence to obtain the target service items;

For each of the target service items, a list of service providers of the target service item is obtained from a preset database.

Optionally, the process of calculating the weight according to the influencing factors associated with the service quality of the service provider includes:

Pre-configuring basic information of multiple influencing factors associated with the service quality of the service provider; the basic information at least includes an influencing coefficient and an influencing index;

A service provider list for configuring multiple service items; the service provider list includes multiple service providers that provide service capabilities for the service items, a serial number of each service provider, and values of various influencing factors associated with each service provider;

For each of the service provider lists, the weight of each service provider in the service provider list is calculated based on the values of each influencing factor associated with each service provider in the service provider list, and the influence coefficient and influence index of each influencing factor associated with each service provider in the service provider list.

Optionally, determining the target service provider based on the weight of each service provider in the service provider list includes:

Obtaining a target value based on the weight of each service provider in the service provider list;

Initialize a starting number variable; wherein the initial value of the starting number variable is set to 0;

Traversing each service provider in the service provider list, and adjusting the value of the starting number variable when reading each service provider, so that the adjusted value of the starting number variable is equal to the target sum value; the target sum value includes: the sum of the weight of the service provider currently read and the value of the starting number variable before adjustment;

For each service provider read, determine whether the adjusted value of the starting number variable is not greater than the target value, and whether the sum of the weight of the service provider and the adjusted value of the starting number variable is greater than the target value;

When the value of the adjusted starting number variable is not greater than the target value, and the sum of the weight of the service provider and the value of the adjusted starting number variable is greater than the target value, the service provider currently read is identified as the target service provider.

Optionally, also include:

When the value of the adjusted starting number variable is greater than the target value, and the sum of the weight of the service provider and the value of the adjusted starting number variable is not greater than the target value, the service provider currently read is identified as a non-target service provider.

Optionally, also include:

After reading all the service providers in the service provider list, if the target service provider is not obtained, the service provider with the first serial number in the service provider list is identified as the target service provider.

Optionally, obtaining a target value based on a weight of each service provider in the service provider list includes:

Calculate the sum of the weights of each service provider in the service provider list to obtain a total weight value;

Generate a random number value interval based on the total weight value as the interval upper limit and the preset value as the interval lower limit;

A random number is randomly selected from the random number value interval as the target value.

A flow distribution device, comprising:

A request parsing unit, used to parse the service request sent by the client and obtain the target service item;

A list acquisition unit, used to acquire a list of service providers of a target service project from a preset database; the list of service providers includes a plurality of service providers that provide service capabilities for the target service project, and a weight and a sequence number of each of the service providers; the weight is calculated based on an influencing factor associated with the service quality of the service provider;

A service provider screening unit, configured to determine a target service provider based on the weight of each service provider in the service provider list;

The traffic distribution unit is used to distribute the traffic of the target service item to the target service provider.

A computer-readable storage medium includes a stored program, wherein the program implements the flow distribution method when executed by a processor.

A flow distribution device comprises: a processor, a memory and a bus; the processor and the memory are connected via the bus;

The memory is used to store programs, and the processor is used to run programs, wherein the program executes the traffic distribution method when the processor runs it.

The technical solution provided by the present application parses the service request sent by the client, obtains the target service project, and obtains the service provider list of the target service project from a preset database. Based on the weight of each service provider in the service provider list, the target service provider is determined. The traffic of the target service project is allocated to the target service provider. The present application can determine the weight of each service provider in the service provider list based on the influencing factors associated with the service quality of the service provider, and screen out the target service provider from the service provider list according to the weight of each service provider as the traffic allocation object of the target service project. Compared with the prior art, the selection of the target service provider is more objective, and can effectively ensure that the client can obtain high-quality services after traffic allocation.

BRIEF DESCRIPTION OF THE DRAWINGS

In order to more clearly illustrate the embodiments of the present application or the technical solutions in the prior art, the drawings required for use in the embodiments or the description of the prior art will be briefly introduced below. Obviously, the drawings described below are only some embodiments of the present application. For ordinary technicians in this field, other drawings can be obtained based on these drawings without paying any creative work.

FIG. 1a is a schematic diagram of a flow chart of a flow distribution method provided in an embodiment of the present application;

FIG1b is a flow chart of a flow distribution method provided in an embodiment of the present application;

FIG2 is a flow chart of another flow distribution method provided in an embodiment of the present application;

FIG3 is a schematic diagram of the architecture of a flow distribution device provided in an embodiment of the present application.

Detailed ways

The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. Based on the embodiments in the present application, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of this application.

As shown in FIG. 1a and FIG. 1b , a flow chart of a traffic distribution method provided in an embodiment of the present application is applied to a server and includes the following steps.

S101: pre-configure basic information of multiple influencing factors associated with the service quality of the service provider.

The basic information includes but is not limited to: code, name, description, type, impact coefficient, and impact index.

The so-called code is used to indicate the foreign name of the influencing factor.

The so-called names are used to indicate the Chinese names of the influencing factors.

The so-called description is used to indicate the correlation between the influencing factors and the service quality. For example, efficiency (a specific manifestation of the influencing factors) is proportional to the service quality (that is, the higher the efficiency, the better the service quality).

The so-called type is also used to indicate the correlation between the influencing factor and the service quality. For example, if the type is positively correlated, it means that the influencing factor is proportional to the service quality.

The so-called impact coefficient is used to indicate the ratio of any influencing factor to the sum of all influencing factors. Specifically, assuming that the ratio of price (a specific form of influencing factor) to the sum of all influencing factors is 0.4, the impact coefficient of price is 0.4.

The so-called impact index is used to indicate the intensity of the influence of differences between different influencing factors on the weight. The larger the impact index, the greater the influence on the weight. Specifically, the impact index is usually the index mentioned in the power operation. Assuming that the price (a specific form of influencing factor) is 10 and the impact index is 2, the value obtained after exponential operation of the price is 100.

Specifically, the basic information of each influencing factor can be seen in Table 1.

Table 1

It should be noted that the contents shown in Table 1 above are only used for illustration. Generally speaking, the contents shown in Table 1 are specific configuration scenarios of basic information of various influencing factors.

Specifically, in the specific usage scenario of SMS service (a specific form of service item), it is assumed that the influencing factors include price proportion, arrival rate, theft detection success rate, and verification code cancellation rate, among which the price accounts for 60%, the influence coefficient = 0.6, the influence index = 1, negative correlation, the lower the price, the higher the weight calculated in the subsequent S103; the arrival rate accounts for 10%, the influence coefficient = 0.1, the influence index = 10, positive correlation, the higher the arrival rate, the higher the weight calculated in the subsequent S103; the theft detection success rate accounts for 20%, the influence coefficient = 0.2, the influence index = 10, positive correlation, the higher the success rate, the higher the weight calculated in the subsequent S103; the verification code cancellation rate accounts for 10%, the influence coefficient = 0.1, the influence index = 10, positive correlation, the higher the cancellation rate, the higher the weight calculated in the subsequent S103.

S102: configuring a service provider list for multiple service items.

The service provider list includes multiple service providers that provide service capabilities for the service project, the serial number of each service provider, and the values of various influencing factors associated with each service provider. Generally speaking, the serial number of the service provider is usually the order in which the service provider is written into the service provider list.

Specifically, the specific content of the service provider list can be seen in Table 2.

Table 2

序号Serial number	服务商Service Provider	价格price	效率efficiency	到达率Reach	合格率Pass rate	权重Weights	创建时间Creation time	操作operate
11	服务商1Service Provider 1	100100	1.31.3	98％98%	99％99%	0.20.2	2021-12-092021-12-09	计算权重删除Calculate weight deletion
22	服务商2Service Provider 2	9898	0.90.9	99％99%	98％98%	0.20.2	2021-12-092021-12-09	计算权重删除Calculate weight deletion
33	服务商3Service Provider 3	9797	0.80.8	100％100%	97％97%	0.20.2	2021-12-092021-12-09	计算权重删除Calculate weight deletion
44	服务商4Service Provider 4	102102	1.41.4	95％95%	99％99%	0.20.2	2021-12-092021-12-09	计算权重删除Calculate weight deletion

It should be noted that the contents shown in Table 2 are only for illustration. In addition, the weight column shown in Table 2 requires the user to trigger the calculation weight item in the operation to obtain the weight of the service provider, that is, to obtain the weight information after executing the subsequent S103.

S103: For each service provider list, the weight of each service provider in the service provider list is calculated based on the values of each influencing factor associated with each service provider in the service provider list, and the influence coefficient and influence index of each influencing factor associated with each service provider in the service provider list.

The specific implementation process of calculating the weight of each service provider in the service provider list based on the values of each influencing factor associated with each service provider in the service provider list, as well as the influence coefficient and influence index of each influencing factor associated with each service provider in the service provider list, can be seen in formula (1).

Wi＝∑Wpj+∑Wnt (1)

In formula (1), Wi represents the weight of any service provider, i represents the index of the service provider, Wp represents the positive correlation weight of any service provider, and the specific calculation method of Wp is shown in formula (2), j represents the index of the positive correlation factor (i.e., the influencing factor of the type of positive correlation), Wn represents the negative correlation weight, and the specific calculation method of Wn is shown in formula (3), and t represents the index of the negative correlation factor (i.e., the influencing factor of the type of negative correlation).

In formula (2), N represents the total number of service providers in the service provider list, Si represents the value of the positive correlation factor, C represents the influence coefficient of the positive correlation factor, and M represents the influence index of the positive correlation factor.

In formula (3), N represents the total number of service providers, Si represents the value of the negative correlation factor, C represents the impact coefficient of the negative correlation factor, and M represents the impact index of the negative correlation factor.

It should be noted that if it is detected that any service provider in the service provider list is unable to provide services, the service provider that is unable to provide services needs to be removed from the service provider list to obtain a new service provider list, and based on the values of various influencing factors associated with each service provider in the new service provider list, as well as the influence coefficient and influence index of each influencing factor associated with each service provider in the new service provider list, the weight of each service provider in the new service provider list is recalculated.

Specifically, based on the values of various influencing factors associated with each service provider in the new service provider list, as well as the influence coefficient and influence index of various influencing factors associated with each service provider in the new service provider list, the specific implementation process of recalculating the weight of each service provider in the new service provider list can be seen in formula (4).

Wi＝W _old +W _new (4)

In formula (4), Wi represents the weight of any service provider in the new service provider list, i represents the index of the service provider, W _old represents the original weight of any service provider in the new service provider list, and W _new represents the new weight of any service provider in the new service provider list. The specific calculation process of W _new is shown in formula (5).

W _new =W _{old(N = Q)} *W _m (5)

In formula (5), W _{old (N = Q)} represents the weight assigned to any service provider when the total number of service providers is Q (Q = N-1), W _m represents the weight originally assigned to the service provider that has been removed from the service provider list, and m represents the index of the removed service provider. In addition, the specific calculation process of W _{old (N = Q)} can be referred to formula (1), and the difference between the two is only that the total number of service providers is changed to Q.

It should be emphasized that when the influence coefficient and influence index of any influencing factor changes, or when a new influencing factor is added or deleted, it is necessary to call formula (1) to recalculate the weight of each service provider in the service provider list.

S104: adding the weight of each service provider to the service provider list, and saving the service provider list of each service item to a preset database.

Among them, the service provider list of each service item is saved in a preset database, which can facilitate users to query the weight of each service provider at any time.

S105: One or more service requests sent by different types of clients are saved in a preset request queue, and the request time of each service request is recorded.

Among them, saving each service request in a preset request queue can realize asynchronous processing of each service request, so that the efficiency of traffic distribution is effectively improved.

It should be noted that different types of clients include but are not limited to web clients, mobile clients, etc.

S106: parse each service request in the preset request queue in order of request time from earliest to latest, and obtain each target service item.

The target service item may be understood as the service item requested by the client.

S107: For each target service item, a service provider list of the target service item is obtained from a preset database.

S108: Calculate the sum of the weights of the various service providers in the service provider list to obtain a total weight value.

S109: Generate a random number value interval based on the total weight value as the upper limit of the interval and the preset value as the lower limit of the interval.

Among them, the preset value can be set to 0.

S110: Randomly select a random number from the random number value interval as the target value.

S111: Initialize a starting number variable.

The initial value of the start number variable is set to 0.

S112: traverse each service provider in the service provider list, and adjust the value of the start number variable when reading each service provider, so that the value of the adjusted start number variable is equal to the target value.

The target sum value includes: the sum of the weight of the service provider currently read and the value of the starting number variable before adjustment.

S113: For each service provider read, determine whether the adjusted value of the starting number variable is not greater than the target value, and whether the sum of the service provider's weight and the adjusted value of the starting number variable is greater than the target value.

If the value of the adjusted starting number variable is not greater than the target value, and the sum of the weight of the service provider and the value of the adjusted starting number variable is greater than the target value, S114 is executed.

If the adjusted value of the starting number variable is greater than the target value, and the sum of the service provider's weight and the adjusted value of the starting number variable is not greater than the target value, S115 is executed.

Specifically, assuming that the weight of service provider A is 400, the weight of service provider B is 300, and the weight of service provider C is 200, when a text message request (i.e., the target service item) is received, a service provider needs to be found to send the text message. The starting number variable m=0, the target value n is a random number randomly selected between 0 and 900, assuming that the target value n is 500, and the reading order of each service provider is service provider A, service provider B, and service provider C. Each time any service provider is read, the judgment process is simplified to: m<=n and n<(m+the weight of the currently read service provider).

When service provider A is read, the weight of service provider A is 400. First, m<=n is satisfied (because 0<=500), but n<(m+the weight of the current cycle service) is not satisfied (because 500<0+400 is not true). At this time, m=m+the weight of the current cycle service=0+400=400, and then cycle 2 is continued;

When service provider B is read, the weight of service provider B is 300. First, m<=n is satisfied (because 400<=500), and n<(m+the weight of the current loop service) is also satisfied (because 500<400+300 is established). These two conditions are met, indicating that service provider B is found to perform the SMS sending action. Otherwise, the loop continues until all service providers are traversed and no qualified service provider is found. Then the first service provider, service provider A, is selected to perform the SMS sending action.

S114: Identify the currently read service provider as the target service provider.

After executing S114, continue to execute S117.

After the target service provider is obtained, the reading of other service providers in the service provider list may be stopped to save computing resources.

S115: Mark the service provider with the first serial number in the service provider list as a non-target service provider.

After executing S115 , continue to execute S116 .

S116: After reading all the service providers in the service provider list, if the target service provider is not obtained, the service provider with the first serial number in the service provider list is marked as the target service provider.

After executing S116, continue to execute S117.

S117: Allocate the traffic of the target service item to the target service provider.

Among them, the target service provider is selected as the traffic distribution object of the target service project, and the weight of each service provider is used as a reference basis for selection, and the weight of each service provider is calculated based on the influencing factors related to the service quality of the service provider as a reference basis. In other words, the target service provider finally selected is selected based on the influencing factors as a reference basis, so that high-quality services can be provided for the target service project. Compared with the existing manual selection method, the traffic distribution result is more objective, ensuring that the client can obtain high-quality services after traffic distribution.

To sum up, this embodiment can determine the weight of each service provider in the service provider list based on the influencing factors associated with the service quality of the service provider, and screen out the target service provider from the service provider list according to the weight of each service provider as the traffic allocation object of the target service project. Compared with the existing technology, the selection of the target service provider is more objective and can effectively ensure that the client can obtain high-quality service after traffic allocation.

It should be noted that S101 mentioned in the above embodiment is an optional implementation of the flow distribution method shown in the embodiment of the present application. In addition, S115 mentioned in the above embodiment is also an optional implementation of the flow distribution method shown in the embodiment of the present application. To this end, the process mentioned in the above embodiment can be summarized as the method shown in Figure 2.

As shown in FIG2 , a flow chart of another flow distribution method provided in an embodiment of the present application is provided, which includes the following steps.

S201: parse the service request sent by the client to obtain the target service item.

S202: Acquire a list of service providers of the target service item from a preset database.

The service provider list includes multiple service providers that provide service capabilities for the target service project, as well as the weight and sequence number of each service provider; the weight is calculated based on influencing factors associated with the service quality of the service provider.

S203: Determine a target service provider based on the weight of each service provider in the service provider list.

S204: Allocate the traffic of the target service item to the target service provider.

Corresponding to the flow distribution method provided in the above-mentioned embodiment of the present application, the embodiment of the present application also provides a flow distribution device.

As shown in FIG3 , it is a schematic diagram of the architecture of a flow distribution device provided in an embodiment of the present application, including the units shown below.

The request parsing unit 100 is used to parse the service request sent by the client to obtain the target service item.

Optionally, the request parsing unit 100 is specifically used to: save one or more service requests sent by different types of clients into a preset request queue, and record the request time of each service request; parse each service request in the preset request queue in order of request time from early to late, and obtain each target service item; for each target service item, obtain a list of service providers for the target service item from a preset database.

The list acquisition unit 200 is used to obtain a service provider list of the target service project from a preset database; the service provider list includes multiple service providers that provide service capabilities for the target service project, as well as the weight and serial number of each service provider; the weight is calculated based on the influencing factors associated with the service quality of the service provider.

Optionally, the list acquisition unit 200 is specifically used to: pre-configure basic information of multiple influencing factors associated with the service quality of the service provider; the basic information at least includes an influencing coefficient and an influencing index; configure a list of service providers for multiple service items; the service provider list includes multiple service providers that provide service capabilities for the service items, the serial number of each service provider, and the values of each influencing factor associated with each service provider; for each service provider list, the weight of each service provider in the service provider list is calculated based on the values of each influencing factor associated with each service provider in the service provider list, and the influencing coefficient and influencing index of each influencing factor associated with each service provider in the service provider list.

The service provider screening unit 300 is used to determine a target service provider based on the weight of each service provider in the service provider list.

Optionally, the service provider screening unit 300 is specifically used to: obtain a target value based on the weight of each service provider in the service provider list; initialize a starting number variable; wherein the initial value of the starting number variable is set to 0; traverse each service provider in the service provider list, and when reading each service provider, adjust the value of the starting number variable so that the value of the adjusted starting number variable is equal to the target sum value; the target sum value includes: the sum of the weight of the service provider currently read and the value of the starting number variable before adjustment; for each service provider read, determine whether the value of the adjusted starting number variable is not greater than the target value, and whether the sum of the service provider's weight and the value of the adjusted starting number variable is greater than the target value; when the value of the adjusted starting number variable is not greater than the target value, and the sum of the service provider's weight and the value of the adjusted starting number variable is greater than the target value, identify the currently read service provider as the target service provider.

The service provider screening unit 300 is also used to: when the value of the adjusted starting number variable is greater than the target value, and the sum of the service provider's weight and the value of the adjusted starting number variable is not greater than the target value, mark the currently read service provider as a non-target service provider.

The service provider screening unit 300 is further configured to: after reading all service providers in the service provider list and if the target service provider is not obtained, identify the service provider with the first serial number in the service provider list as the target service provider.

The service provider screening unit 300 is specifically used for: calculating the sum of the weights of each service provider in the service provider list to obtain the total weight value; generating a random number value interval based on the total weight value as the upper limit of the interval and the preset value as the lower limit of the interval; and randomly selecting a random number from the random number value interval as the target value.

The traffic distribution unit 400 is used to distribute the traffic of the target service item to the target service provider.

The present application also provides a computer-readable storage medium, which includes a stored program, wherein the program executes the traffic distribution method provided by the present application.

The present application also provides a traffic distribution device, including: a processor, a memory, and a bus. The processor and the memory are connected via a bus, the memory is used to store programs, and the processor is used to run programs, wherein when the program is running, the traffic distribution method provided by the present application is executed, including the following steps:

Allocate the traffic of the target service item to the target service provider.

Specifically, based on the above embodiment, the parsing of the service request sent by the client to obtain the target service item includes:

Specifically, based on the above embodiment, the process of calculating the weight according to the influencing factors associated with the service quality of the service provider includes:

Specifically, based on the above embodiment, determining the target service provider based on the weight of each service provider in the service provider list includes:

Specifically, based on the above embodiment, it also includes:

Specifically, based on the above embodiment, the step of obtaining the target value based on the weight of each service provider in the service provider list includes:

If the functions described in the method of the embodiment of the present application are implemented in the form of software functional units and sold or used as independent products, they can be stored in a storage medium readable by a computing device. Based on this understanding, the part of the embodiment of the present application that contributes to the prior art or the part of the technical solution can be embodied in the form of a software product, which is stored in a storage medium and includes several instructions for a computing device (which can be a personal computer, server, mobile computing device or network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: various media that can store program codes, such as USB flash drives, mobile hard disks, read-only memories, random access memories, magnetic disks or optical disks.

The various embodiments in this specification are described in a progressive manner, and each embodiment focuses on the differences from other embodiments. The same or similar parts between the various embodiments can be referenced to each other.

The above description of the disclosed embodiments enables those skilled in the art to implement or use the present application. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present application. Therefore, the present application will not be limited to the embodiments shown herein, but will conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

A flow distribution method, characterized by comprising:

Parse the service request sent by the client and obtain the target service item;

Obtaining a list of service providers for the target service project from a preset database; the list of service providers includes multiple service providers that provide service capabilities for the target service project, as well as a weight and a sequence number of each of the service providers; the weight is calculated based on an influencing factor associated with the service quality of the service provider;

Determining a target service provider based on the weight of each service provider in the service provider list;

Allocate the traffic of the target service item to the target service provider.
The method according to claim 1, characterized in that the step of parsing the service request sent by the client to obtain the target service item comprises:

One or more service requests sent by different types of clients are saved in a preset request queue, and the request time of each of the service requests is recorded;

According to the order of request time from earliest to latest, the service requests in the preset request queue are analyzed in sequence to obtain the target service items;

For each of the target service items, a list of service providers of the target service item is obtained from a preset database.
The method according to claim 1, characterized in that the process of calculating the weight according to the influencing factors associated with the service quality of the service provider comprises:

Pre-configuring basic information of multiple influencing factors associated with the service quality of the service provider; the basic information at least includes an influencing coefficient and an influencing index;

A service provider list for configuring multiple service items; the service provider list includes multiple service providers that provide service capabilities for the service items, a serial number of each service provider, and values of various influencing factors associated with each service provider;

For each of the service provider lists, the weight of each service provider in the service provider list is calculated based on the values of each influencing factor associated with each service provider in the service provider list, and the influence coefficient and influence index of each influencing factor associated with each service provider in the service provider list.
The method according to claim 1, characterized in that the step of determining the target service provider based on the weight of each service provider in the service provider list comprises:

Obtaining a target value based on the weight of each service provider in the service provider list;

Initialize a starting number variable; wherein the initial value of the starting number variable is set to 0;

Traversing each service provider in the service provider list, and adjusting the value of the starting number variable when reading each service provider, so that the adjusted value of the starting number variable is equal to the target sum value; the target sum value includes: the sum of the weight of the service provider currently read and the value of the starting number variable before adjustment;

For each service provider read, determine whether the adjusted value of the starting number variable is not greater than the target value, and whether the sum of the weight of the service provider and the adjusted value of the starting number variable is greater than the target value;

When the value of the adjusted starting number variable is not greater than the target value, and the sum of the weight of the service provider and the value of the adjusted starting number variable is greater than the target value, the service provider currently read is identified as the target service provider.
The method according to claim 4, further comprising:

When the value of the adjusted starting number variable is greater than the target value, and the sum of the weight of the service provider and the value of the adjusted starting number variable is not greater than the target value, the service provider currently read is identified as a non-target service provider.
The method according to claim 4, further comprising:

After reading all the service providers in the service provider list, if the target service provider is not obtained, the service provider with the first serial number in the service provider list is identified as the target service provider.
The method according to claim 4, characterized in that obtaining the target value based on the weight of each service provider in the service provider list comprises:

Calculate the sum of the weights of each service provider in the service provider list to obtain a total weight value;

Generate a random number value interval based on the total weight value as the interval upper limit and the preset value as the interval lower limit;

A random number is randomly selected from the random number value interval as the target value.
A flow distribution device, characterized by comprising:

A request parsing unit, used to parse the service request sent by the client and obtain the target service item;

a list acquisition unit, configured to acquire a list of service providers of a target service item from a preset database; the list of service providers includes a plurality of service providers that provide service capabilities for the target service item, and a weight and a sequence number of each of the service providers; the weight is calculated based on an influencing factor associated with the service quality of the service provider;

A service provider screening unit, configured to determine a target service provider based on the weight of each service provider in the service provider list;

The traffic distribution unit is used to distribute the traffic of the target service item to the target service provider.
A computer-readable storage medium, characterized in that the computer-readable storage medium includes a stored program, wherein the program, when executed by a processor, executes the traffic distribution method described in any one of claims 1-7.
A flow distribution device, characterized in that it comprises: a processor, a memory and a bus; the processor and the memory are connected via the bus;

The memory is used to store programs, and the processor is used to run programs, wherein the program, when run by the processor, executes the traffic distribution method according to any one of claims 1 to 7.