WO2024082406A1 - Procédé et appareil de distribution de trafic, support de stockage et dispositif - Google Patents

Procédé et appareil de distribution de trafic, support de stockage et dispositif Download PDF

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Publication number
WO2024082406A1
WO2024082406A1 PCT/CN2022/138523 CN2022138523W WO2024082406A1 WO 2024082406 A1 WO2024082406 A1 WO 2024082406A1 CN 2022138523 W CN2022138523 W CN 2022138523W WO 2024082406 A1 WO2024082406 A1 WO 2024082406A1
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WIPO (PCT)
Prior art keywords
service provider
service
target
value
list
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PCT/CN2022/138523
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English (en)
Chinese (zh)
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郑雄飞
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湖南快乐阳光互动娱乐传媒有限公司
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Publication of WO2024082406A1 publication Critical patent/WO2024082406A1/fr

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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/70Admission control; Resource allocation
    • H04L47/80Actions related to the user profile or the type of traffic
    • H04L47/805QOS or priority aware
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F16/00Information retrieval; Database structures therefor; File system structures therefor
    • G06F16/90Details of database functions independent of the retrieved data types
    • G06F16/901Indexing; Data structures therefor; Storage structures
    • G06F16/9017Indexing; Data structures therefor; Storage structures using directory or table look-up
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/70Admission control; Resource allocation
    • H04L47/82Miscellaneous aspects

Definitions

  • the present application relates to the field of Internet technology, and in particular to a traffic distribution method, device, storage medium and equipment.
  • 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.
  • 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.
  • a flow distribution method comprising:
  • 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;
  • 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;
  • the service requests in the preset request queue are analyzed in sequence to obtain the target service items;
  • a list of service providers of the target service item is obtained from a preset database.
  • 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 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;
  • 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.
  • determining the target service provider based on the weight of each service provider in the service provider list includes:
  • 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;
  • the service provider currently read is identified as the target service provider.
  • the service provider currently read is identified as a non-target service provider.
  • the service provider with the first serial number in the service provider list is identified as the target service provider.
  • obtaining a target value based on a weight of each service provider in the service provider list includes:
  • 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.
  • 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.
  • 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 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 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.
  • 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.
  • the serial number of the service provider is usually the order in which the service provider is written into the service provider list.
  • each service provider list 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.
  • Wi ⁇ Wpj+ ⁇ Wnt (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
  • 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
  • the specific calculation method of Wn is shown in formula (3)
  • t represents the index of the negative correlation factor (i.e., the influencing factor of the type of negative correlation).
  • 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
  • M represents the influence index of the positive correlation factor
  • 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
  • M represents the impact index of the negative correlation factor
  • 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.
  • Wi W old +W new (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
  • W new represents the new weight of any service provider in the new 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • the preset value can be set to 0.
  • 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.
  • the weight of service provider A is 400
  • the weight of service provider B is 300
  • the weight of service provider C is 200
  • 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
  • the reading order of each service provider is service provider A, service provider B, and service provider C.
  • the weight of service provider B is 300.
  • 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.
  • S117 Allocate the traffic of the target service item to the target service provider.
  • 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.
  • 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.
  • the traffic distribution result is more objective, ensuring that the client can obtain high-quality services after traffic distribution.
  • 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.
  • 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.
  • S101 mentioned in the above embodiment is an optional implementation of the flow distribution method shown in the embodiment of the present application.
  • S115 mentioned in the above embodiment is also an optional implementation of the flow distribution method shown in the embodiment of the present application.
  • the process mentioned in the above embodiment can be summarized as the method shown in Figure 2.
  • 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.
  • 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.
  • 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.
  • the embodiment of the present application also provides a flow distribution device.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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.
  • 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:
  • 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;
  • the parsing of 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;
  • the service requests in the preset request queue are analyzed in sequence to obtain the target service items;
  • a list of service providers of the target service item is obtained from a preset database.
  • 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 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;
  • 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.
  • determining the target service provider based on the weight of each service provider in the service provider list includes:
  • 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;
  • the service provider currently read is identified as the target service provider.
  • the service provider currently read is identified as a non-target service provider.
  • the service provider with the first serial number in the service provider list is identified as the target service provider.
  • the step of obtaining the target value based on the weight of each service provider in the service provider list includes:
  • a random number is randomly selected from the random number value interval as the target value.
  • 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.
  • a computing device which can be a personal computer, server, mobile computing device or network device, etc.
  • 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.

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Abstract

Sont divulgués dans la présente demande un procédé et un appareil de distribution de trafic, ainsi qu'un support de stockage et un dispositif. Le procédé consiste à : analyser une demande de service, qui est envoyée par un client, de façon à obtenir un élément de service cible; acquérir une liste de fournisseurs de services de l'élément de service cible à partir d'une base de données prédéfinie; déterminer un fournisseur de services cible sur la base du poids de chaque fournisseur de services dans la liste de fournisseurs de services; et distribuer le trafic de l'élément de service cible au fournisseur de services cible. Au moyen du procédé, le poids de chaque fournisseur de services dans une liste de fournisseurs de services est déterminé sur la base d'un facteur d'influence associé à la qualité de service de chaque fournisseur de services et un fournisseur de services cible est sélectionné, en tant qu'objet de distribution de trafic d'un élément de service cible, à partir de la liste de fournisseurs de services selon le poids de chaque fournisseur de services. Par comparaison avec l'état de la technique, la sélection du fournisseur de services cible est plus objective, de manière à garantir efficacement qu'un client puisse obtenir un service de haute qualité après que la distribution de trafic est effectuée.
PCT/CN2022/138523 2022-10-18 2022-12-13 Procédé et appareil de distribution de trafic, support de stockage et dispositif WO2024082406A1 (fr)

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CN202211272986.9A CN115633001A (zh) 2022-10-18 2022-10-18 流量分配方法、装置、存储介质和设备
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Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190140920A1 (en) * 2017-01-22 2019-05-09 Huawei Technologies Co., Ltd. Scheduling Method for Content Delivery Network, and Device
CN113869718A (zh) * 2021-09-26 2021-12-31 北京达佳互联信息技术有限公司 虚拟资源处理方法、装置、系统、电子设备及存储介质
CN114430381A (zh) * 2022-01-13 2022-05-03 上海聚音信息科技有限公司 一种服务商的动态分流方法及设备
CN115190441A (zh) * 2022-08-15 2022-10-14 湖南快乐阳光互动娱乐传媒有限公司 一种短信分发方法及装置、电子设备、存储介质

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20190140920A1 (en) * 2017-01-22 2019-05-09 Huawei Technologies Co., Ltd. Scheduling Method for Content Delivery Network, and Device
CN113869718A (zh) * 2021-09-26 2021-12-31 北京达佳互联信息技术有限公司 虚拟资源处理方法、装置、系统、电子设备及存储介质
CN114430381A (zh) * 2022-01-13 2022-05-03 上海聚音信息科技有限公司 一种服务商的动态分流方法及设备
CN115190441A (zh) * 2022-08-15 2022-10-14 湖南快乐阳光互动娱乐传媒有限公司 一种短信分发方法及装置、电子设备、存储介质

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