CN117201500A - Flow distribution method and device, computer equipment and storage medium - Google Patents

Flow distribution method and device, computer equipment and storage medium Download PDF

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Publication number
CN117201500A
CN117201500A CN202310996142.7A CN202310996142A CN117201500A CN 117201500 A CN117201500 A CN 117201500A CN 202310996142 A CN202310996142 A CN 202310996142A CN 117201500 A CN117201500 A CN 117201500A
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China
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service request
determining
network system
preset parameter
preset
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李鹏飞
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Bank of China Ltd
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Bank of China Ltd
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Priority to CN202310996142.7A priority Critical patent/CN117201500A/en
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    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004Server selection for load balancing
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L47/00Traffic control in data switching networks
    • H04L47/10Flow control; Congestion control
    • H04L47/12Avoiding congestion; Recovering from congestion
    • H04L47/125Avoiding congestion; Recovering from congestion by balancing the load, e.g. traffic engineering
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/01Protocols
    • H04L67/10Protocols in which an application is distributed across nodes in the network
    • H04L67/1001Protocols in which an application is distributed across nodes in the network for accessing one among a plurality of replicated servers
    • H04L67/1004Server selection for load balancing
    • H04L67/1019Random or heuristic server selection
    • HELECTRICITY
    • H04ELECTRIC COMMUNICATION TECHNIQUE
    • H04LTRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
    • H04L67/00Network arrangements or protocols for supporting network services or applications
    • H04L67/50Network services
    • H04L67/60Scheduling or organising the servicing of application requests, e.g. requests for application data transmissions using the analysis and optimisation of the required network resources
    • H04L67/63Routing a service request depending on the request content or context

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  • Engineering & Computer Science (AREA)
  • Computer Networks & Wireless Communication (AREA)
  • Signal Processing (AREA)
  • Data Exchanges In Wide-Area Networks (AREA)

Abstract

The application relates to a flow distribution method, a device, a computer device and a storage medium, wherein the method comprises the steps of receiving a service request sent by an upstream network system, then determining a target area corresponding to the service request according to the flow proportion of all areas where downstream network systems corresponding to the upstream network system are located based on preset distribution rules, and finally distributing the service request to the target area, wherein the preset distribution rules comprise random distribution rules or statistical distribution rules. In the method, the distribution rule is determined according to the flow ratio of all areas where the downstream network system is located, and the flow ratio can reflect the flow load condition of each area in real time and truly, so that the service request can be reasonably distributed to each target area through the distribution rule, and further the balanced distribution of the flow is realized.

Description

Flow distribution method and device, computer equipment and storage medium
Technical Field
The present application relates to the field of internet finance technology, and in particular, to a flow distribution method, a flow distribution device, a computer device, and a storage medium.
Background
With the development of internet financial science and technology, the rapid growth of internet users promotes the vigorous development of internet economy. In particular, in the data transmission process between large financial application networks, the rationality of traffic distribution between an upstream network system and a downstream network system plays a direct key role in user experience. For example, when a user initiates a payment request using an upstream payment application, the request will be sent to a downstream payment gateway for processing. Therefore, a good traffic distribution strategy can effectively improve the user experience, and simultaneously enhance the stability and reliability of the network.
When an upstream network system calls a downstream network system, the upstream network system needs to perform request traffic distribution, and at present, the upstream network system usually performs distribution according to network performances of different regions when the downstream network system is called.
However, the above method has a problem of unbalanced flow distribution of the request.
Disclosure of Invention
In view of the above, it is desirable to provide a flow distribution method, a flow distribution device, a computer apparatus, and a storage medium capable of uniformly distributing a flow.
In a first aspect, the present application provides a flow distribution method, including:
Receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
In one embodiment, the preset allocation rule is a random allocation rule, and determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located includes:
determining a first preset parameter and a second preset parameter according to the flow ratio;
and determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In one embodiment, determining the first preset parameter and the second preset parameter according to the flow ratio includes:
determining a first preset parameter according to the multiple of the sum of a proportional front term and a proportional rear term corresponding to the flow rate proportion;
and determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In one embodiment, determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter includes:
Performing residual calculation on the first preset parameter and the second preset parameter to obtain a residual value;
and determining a target area corresponding to the service request according to the remainder value.
In one embodiment, determining a target area corresponding to the service request according to the remainder value includes:
when the remainder value is a target value, taking the region corresponding to the target value as a target region corresponding to the service request according to the corresponding relation between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
In one embodiment, the preset allocation rule is a statistical allocation rule, and determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located includes:
determining the expected request quantity corresponding to each area according to the flow ratio of all areas;
and determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
In a second aspect, the present application also provides a flow distribution device, the device comprising:
The receiving module is used for receiving the service request sent by the upstream network system;
the determining module is used for determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located based on a preset allocation rule; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
and the allocation module is used for allocating the service request to the target area.
In a third aspect, the present application also provides a computer device comprising a memory and a processor, the memory storing a computer program, the processor implementing the following steps when executing the computer program:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
In a fourth aspect, the present application also provides a computer readable storage medium having stored thereon a computer program which when executed by a processor performs the steps of:
Receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
In a fifth aspect, the application also provides a computer program product comprising a computer program which, when executed by a processor, performs the steps of:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
According to the traffic distribution method, the traffic distribution device, the computer equipment and the storage medium, the traffic request sent by the upstream network system is received, then the target area corresponding to the traffic request is determined according to the traffic proportion of all areas where the downstream network system corresponding to the upstream network system is located based on the preset distribution rule, and finally the traffic request is distributed to the target area, wherein the preset distribution rule comprises a random distribution rule or a statistical distribution rule. In the method, the distribution rule is determined according to the flow ratio of all areas where the downstream network system is located, and the flow ratio can reflect the flow load condition of each area in real time and truly, so that the service request can be reasonably distributed to each target area through the distribution rule, and further the balanced distribution of the flow is realized.
Drawings
FIG. 1 is a diagram of an application environment for a flow distribution method in one embodiment;
FIG. 2 is a flow diagram of a flow distribution method in one embodiment;
FIG. 3 is a flow chart of a flow distribution method according to another embodiment;
FIG. 4 is a flow chart of a flow distribution method according to another embodiment;
FIG. 5 is a flow chart of a flow distribution method according to another embodiment;
FIG. 6 is a flow chart of a flow distribution method in another embodiment;
FIG. 7 is a flow chart of a flow distribution method in another embodiment;
FIG. 8 is a block diagram of a flow distribution device in one embodiment;
fig. 9 is an internal structural diagram of a computer device in one embodiment.
Detailed Description
The present application will be described in further detail with reference to the drawings and examples, in order to make the objects, technical solutions and advantages of the present application more apparent. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the scope of the application.
With the development of internet financial science and technology, the rapid growth of internet users promotes the vigorous development of internet economy. In particular, in the data transmission process between large financial application networks, the rationality of traffic distribution between an upstream network system and a downstream network system plays a direct key role in user experience. Therefore, a good traffic distribution strategy can effectively improve the user experience, and simultaneously enhance the stability and reliability of the network. When an upstream network system calls a downstream network system, the upstream network system needs to perform request traffic distribution, and at present, the upstream network system usually performs distribution according to network performances of different regions when the downstream network system is called. However, the above method has a problem of unbalanced flow distribution of the request.
The present application provides a flow distribution method, which aims to solve the above technical problems, and the following embodiments specifically describe the flow distribution method of the present application.
The flow distribution method provided by the embodiment of the application can be applied to an application environment shown in fig. 1, wherein the application environment comprises an upstream network system 01, a downstream network system 02 and an intermediate device 03, the upstream network system 01 comprises a plurality of upstream network devices, the downstream network system 02 comprises a plurality of downstream servers, the intermediate device 03 can be realized by using various personal computers, notebook computers, smart phones, tablet computers and internet of things devices, and can also be realized by using independent servers or a server cluster formed by a plurality of servers. The upstream network system may also be implemented as an independent server or a server cluster formed by a plurality of servers. The network device may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like. The downstream network system may also be implemented as a stand-alone server or as a cluster of servers. The downstream server may be, but not limited to, various personal computers, notebook computers, smart phones, tablet computers, internet of things devices and portable wearable devices, and the internet of things devices may be smart speakers, smart televisions, smart air conditioners, smart vehicle devices, and the like. The portable wearable device may be a smart watch, smart bracelet, headset, or the like.
It will be appreciated by those skilled in the art that the structure shown in fig. 1 is merely a block diagram of a portion of the structure associated with the present inventive arrangements and is not limiting of the application environment in which the present inventive arrangements are applied, and that a particular application environment may include more or less components than those shown, or may combine some components, or have a different arrangement of components.
In one embodiment, as shown in fig. 2, a flow distribution method is provided, and the method is applied to the intermediate device in fig. 1 for illustration, and includes the following steps:
s201, receiving a service request sent by an upstream network system.
Wherein the upstream network system represents a party relatively close to the user or client in the network, and is configured to receive the service request from the user or client and transmit it to the downstream network system for processing, such as an internet banking system of a bank or an investment transaction application. The downstream network system represents a party relatively far from a user or a client in the network, and is used for receiving the service request transmitted by the upstream network system, and performing corresponding processing and response, such as a core banking system, a payment system, an air control system and the like of a bank. The service request means a request for the upstream network system to instruct the upstream network system to perform a specific service operation or acquire related information, and the service request includes parameters and instructions.
The method is characterized in that an online banking example is used for describing, a user logs in a bank account by using an upstream network system, logs in the bank account, inquires balance, transfer accounts and the like, then requests for transfer accounts, inquires accounts and the like through the upstream system, and then waits for a response of the bank. The user interaction with the platform is performed through an upstream network system (such as a front end server), the upstream network system receives the user request and transmits the request to a downstream network system (such as a core banking system, a payment system, an air control system and the like), and the downstream network system verifies the user account and transaction availability in real time and returns the result to the upstream system so as to provide transfer feedback for the user. Taking a transaction platform in the financial field as an example, the user uses an internet banking or investment transaction application to conduct transactions with a financial institution. The request of the user is sent to the downstream network system (such as an accounting system, a wind control system, a settlement system and the like) through the upstream network system (such as a front end server), the downstream network system performs verification, authorization, processing and settlement according to the transaction request of the user, generates a corresponding result, sends the related result back to the upstream network system, and finally returns to the user. In the embodiment of the application, the upstream network system can firstly establish communication connection with the intermediate equipment through the network protocol, then send the service request to the intermediate equipment, and the intermediate equipment can receive the service request sent by the upstream network system.
S202, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located based on a preset allocation rule.
Wherein, the allocation rule represents a policy for allocating network traffic, and the preset allocation rule comprises a random allocation rule or a statistical allocation rule. The random allocation rule indicates a rule for randomly allocating the service request in a certain manner. For example, when a service request is received, the intermediate device may perform a formula calculation for the service request to obtain a calculation result. If the downstream network system comprises two areas, the service request can be allocated to the first area when the calculation result meets the first condition; and when the calculation result meets the second condition, allocating the service request into a second area. If the downstream network system comprises three areas, the service request can be allocated to the first area when the calculation result meets the first condition; when the calculation result meets a second condition, dividing the service request into a second area; and when the calculation result meets a third condition, allocating the service request into a third area, and so on. For a certain service request, according to the calculation result, the service request may be allocated to any area in all areas where the downstream network system is located, so that the allocation rule is randomly allocated.
The statistical allocation rule indicates an allocation rule that the number of service requests needs to be counted in the allocation process. For example, when receiving service requests, counting the number of the service requests, if the downstream network system includes two areas, the service requests with the number of the service requests smaller than a first preset value can be distributed to the first area, and the service requests with the number of the service requests between the first preset value and a second preset value can be distributed to the second area; if the downstream network system comprises three areas, service requests with the number of service requests smaller than a first preset value can be distributed to the first area, and service requests with the number of service requests between the first preset value and a second preset value can be distributed to the second area; and distributing the service requests with the number of the service requests between the second preset value and the third preset value to the second area, and the like. The target area is the area that receives the service request. The traffic proportion of all areas represents the ratio of traffic load capacity of all areas, and the ratio of the number of servers of all areas can be taken as the traffic proportion of all areas. For example, if the ratio of the number of servers in the area a to the number of servers in the area B is 4:1, the flow ratio of the area a to the area B is 4:1.
In the embodiment of the application, the intermediate device can obtain the number of servers in each area where the downstream network system is located in advance, then determine the flow ratio of all areas according to the number of servers in each area, and then set a random allocation rule or a statistical allocation rule according to the flow ratio of each area. After the intermediate device receives the service request sent by the upstream network system based on the steps, the target area for receiving the service request can be determined according to a preset random allocation rule or a statistical allocation rule.
S203, distributing the service request to the target area.
In the embodiment of the application, after the intermediate device determines the target area corresponding to the service request based on the steps, the service request can be transmitted to the target area through a correct network path according to the network topology structure and configuration of the target area.
In the above flow distribution method, the intermediate device receives the service request sent by the upstream network system, then determines a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located based on a preset distribution rule, and finally distributes the service request to the target area, where the preset distribution rule includes a random distribution rule or a statistical distribution rule. In the method, the distribution rule is determined according to the flow ratio of all areas where the downstream network system is located, and the flow ratio can reflect the flow load condition of each area in real time and truly, so that the service request can be reasonably distributed to each target area through the distribution rule, and further the balanced distribution of the flow is realized.
In an embodiment, there is further provided a step of obtaining a target area corresponding to the service request, where the preset allocation rule is a random allocation rule, as shown in fig. 3, and the step S202 of determining the target area corresponding to the service request according to the traffic proportion of all areas where the downstream network system corresponding to the upstream network system is located by using the preset allocation rule as the random allocation rule includes:
s301, determining a first preset parameter and a second preset parameter according to the flow ratio.
Wherein the first preset parameter and the second preset parameter represent two parameters for calculation when determining the random allocation rule.
In the embodiment of the application, after the intermediate device obtains the flow ratio of all the areas where the downstream network system is located based on the steps, the value range of the first preset parameter can be determined according to the values of the flow ratio front term and the flow ratio rear term, and the value of the second preset parameter can be determined according to the values of the flow ratio front term and the flow ratio rear term. For example, the values of the flow ratio front term and the flow ratio rear term may be summed, and the value range of the first preset parameter may be determined according to the summation result, or the value range of the first preset parameter may be determined according to the multiple of the summation result, and then a random number may be randomly generated in the value range of the first preset parameter, and the random number may be used as the first preset parameter. And the values of the flow ratio front term and the flow ratio rear term can be summed, and the summation result or the multiple of the summation result is taken as a second preset parameter. For another example, the values of the flow ratio front term and the flow ratio rear term may be calculated mathematically, the value range of the first preset parameter is determined according to the calculation result, then a random number is randomly generated in the value range of the first preset parameter, and the random number is used as the first preset parameter. And the values of the flow ratio front term and the flow ratio rear term can be calculated mathematically, and the calculated result or the multiple of the summation result is used as a second preset parameter. It can be understood that the first preset parameter and the second preset parameter are determined based on the principle that the ratio of the number of service requests allocated to each area is the flow ratio of each area.
S302, determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In the embodiment of the application, after the intermediate device obtains the first preset parameter and the second preset parameter based on the steps, the intermediate device can calculate the first preset parameter and the second preset parameter to obtain a calculation result. If the downstream network system comprises two areas, the service request can be allocated to the first area when the calculation result meets the first condition; and when the calculation result meets the second condition, allocating the service request into a second area. If the downstream network system comprises three areas, the service request can be allocated to the first area when the calculation result meets the first condition; when the calculation result meets a second condition, dividing the service request into a second area; and when the calculation result meets a third condition, allocating the service request into a third area.
In the above embodiment, since the first preset parameter and the second preset parameter are determined based on the ratio of the number of service requests allocated to each area as the flow ratio of each area, and the allocation rule is quantized by mathematical calculation, the balanced allocation of the flows can be more accurately realized.
In one embodiment, there is further provided a step of acquiring the first preset parameter and the second preset parameter, as shown in fig. 4, the "determining the first preset parameter and the second preset parameter according to the flow ratio" in the step S301 includes:
s401, determining a first preset parameter according to the multiple of the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In this embodiment of the present application, after obtaining the flow ratios of all the areas where the downstream network system is located by using the intermediate device based on the foregoing steps, the intermediate device may sum the proportion front term and the proportion rear term corresponding to the flow ratio to obtain a summation result, then determine a multiple of the summation result, and determine a value range of the first preset parameter according to the multiple of the summation result, so that the first preset parameter may be randomly generated in the value range of the first preset parameter. For example, if the flow ratio of the area a to the area B is 4:1, the value range of the first preset parameter may be 1 to 5, and the first preset parameter may be 1, 2, 3, 4, or 5. Optionally, the range of the first preset parameter may be 1 to 10, 1 to 15, and so on. For another example, if the flow ratio of the area a, the area B, and the area C is 1:2:3, the value range of the first preset parameter may be 1 to 6, and the first preset parameter may be 1, 2, 3, 4, or 5. Optionally, the range of the first preset parameter may be 1 to 12, 1 to 18, etc.
S402, determining a second preset parameter according to the sum of a proportion front term and a proportion rear term corresponding to the flow proportion.
In the embodiment of the application, after the intermediate device obtains the flow rate ratios of all the areas where the downstream network system is located based on the steps, the intermediate device can sum the proportional front term and the proportional rear term corresponding to the first preset parameter and the flow rate ratio to obtain a summation result, and the summation result is directly used as the second preset parameter. For example, if the flow ratio of the area a to the area B is 4:1, the second preset parameter is 5. For another example, if the flow ratio of the area a, the area B, and the area C is 1:2:3, the second preset parameter is 6.
In an embodiment, there is further provided a step of acquiring a target area corresponding to the service request, as shown in fig. 5, in the step S302, the step of determining the target area corresponding to the service request according to the first preset parameter and the second preset parameter includes:
s501, performing a residual operation on the first preset parameter and the second preset parameter to obtain a residual value.
In the embodiment of the application, after the intermediate device obtains the first preset parameter and the second preset parameter based on the steps, the intermediate device can perform remainder calculation on the first preset parameter according to the second preset parameter to obtain the remainder value. For example, if the flow ratio of the area a to the area B is 4:1, the first preset parameter is a random number 3 in 1 to 10, and the second preset parameter is 5, the first preset parameter is calculated according to the second preset parameter, which may be expressed as 5 to 3, and the remainder value is 3. If the flow ratio of the area A, the area B and the area C is 1:2:3, the first preset parameter is a random number 4 in 1 to 6, and the second preset parameter is 6, the first preset parameter is subjected to remainder according to the second preset parameter, and the remainder can be expressed as 4 to 6, so that the remainder value is 4.
S502, determining a target area corresponding to the service request according to the remainder value.
In the embodiment of the application, after the intermediate device calculates the remainder value corresponding to a certain service request based on the steps, the intermediate device can judge whether the remainder value meets the set condition, if yes, the service request is distributed to a certain area, and if not, the service request is distributed to other areas. Optionally, the target area corresponding to the service request can be determined according to the specific value of the remainder value.
In the above embodiment, the first preset parameter and the second preset parameter are calculated by a remainder, so that the service quantity is distributed proportionally, which is helpful to avoid the overload of some areas and the lower load of other areas, and improve the load balancing effect of the whole system.
In one embodiment, there is further provided a step of obtaining a target area corresponding to the service request, where "determining the target area corresponding to the service request according to the remainder value" in step S502 includes: when the remainder value is a target value, the region corresponding to the target value is used as a target region corresponding to the service request according to the corresponding relation between the value and the region.
The target value indicates a value corresponding to a case where the remainder value satisfies a predetermined condition, for example, the remainder value is greater than 0, and the target value may be 1 or 3 or the like, which is greater than 0. The corresponding relation between the values and the areas indicates that the values meeting a certain condition have a one-to-one correspondence with the areas, and the corresponding relation between the values and the areas is determined according to the flow ratio.
In the embodiment of the application, after the intermediate device obtains the remainder value based on the steps, the intermediate device can judge whether the remainder value meets the preset condition, and further determine the target area under the condition that the remainder value meets or does not meet the preset condition, if the downstream network system comprises two areas, the service request can be allocated to the first area when the remainder value meets the first condition; and when the remainder value meets a second condition, allocating the service request into a second area. For example, the service request is assigned to region B when the remainder value is 0, and the service request is assigned to region a when the remainder value is not 0. Specifically, for a certain service request, the flow ratio of the area a to the area B is 4:1, if the first preset parameter is a random number 3 in 1 to 10, and the first preset parameter is 5, the first preset parameter is subjected to remainder according to the second preset parameter, which can be expressed as 5 to 3, and the remainder value is 3, so that the remainder value is not 0, and the service request is distributed to the area B. If the first preset parameter is a random number 5 in 1 to 10, and the first preset parameter is 5, the first preset parameter is subjected to remainder according to the second preset parameter, which can be expressed as 5 to 5, so that a remainder value is 0, and the service request is distributed to the area A. If the downstream network system comprises three areas, the service request can be allocated to the first area when the remainder value meets the first condition; when the remainder value meets a second condition, dividing the service request into a second area; and when the remainder value meets a third condition, allocating the service request into a third area. For example, for a certain service request, the flow ratio of the area a, the area B and the area C is 1:2:3, the range of the first preset parameter may be any one value of the random numbers 1,2,3,4,5 and 6 in 1 to 6, the first preset parameter is subjected to the remainder according to the second preset parameter, which may be represented as any one value of 1,2,3,4,5 and 6, the remainder is calculated to 6, the remainder value may be 1,2,3,4,5,0, when the remainder value is 0, the service request is allocated to the area a, when the remainder value is 1 or 2, the service request is allocated to the area B, and when the remainder value is any one value of 3,4 and 5, the service request is allocated to the area C. Alternatively, the service request is assigned to region a when the remainder value is 3, to region B when the remainder value is 4 or 0, and to region C when any one of the remainder values 1,2, 5. It can be understood that the proportion of the number of service requests finally allocated to each area is the flow proportion of each area and is also the proportion of the number of servers of each area. Further, the second preset parameter may be stored in a database or a dis, so as to be convenient and flexible to adjust according to the flow ratio.
In the above embodiment, the service number is further distributed in proportion by judging the condition that the residual value meets, which is helpful to avoid the condition that some areas are overloaded and other areas are loaded lower, so as to improve the load balancing effect of the whole system.
In an embodiment, a step of obtaining a target area corresponding to a service request is further provided, where the preset allocation rule is a statistical allocation rule, as shown in fig. 6, in the step S202, the determining, according to the traffic proportion of all areas where the downstream network system corresponding to the upstream network system is located, the target area corresponding to the service request includes:
s601, determining the expected request quantity corresponding to each area according to the flow rate proportion of all areas.
The statistical allocation rule indicates an allocation rule that the number of the service requests needs to be counted in the allocation process.
In the embodiment of the application, after the intermediate device obtains the service request based on the steps, the corresponding expected request quantity can be determined according to the proportion front item and the proportion rear item of the flow proportion. For example, if the flow ratio of the area a to the area B is 4:1, the expected number of requests corresponding to the area a may be 4, and the expected number of requests corresponding to the area B may be 1. For another example, if the traffic ratio of the area a, the area B, and the area C is 1:2:3, the expected request number corresponding to the area a may be 1, the expected request number corresponding to the area B may be 2, and the expected request number corresponding to the area C may be 3.
S602, determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
Wherein the accumulated number is the number of accumulated received service requests in one cycle.
In the embodiment of the application, the intermediate device can determine the upper limit of the accumulated quantity according to the flow rate proportion, and the upper limit can be the sum of the front term proportion and the rear term proportion of the flow rate proportion. After the intermediate device determines the number of expected requests corresponding to each area based on the foregoing steps, the currently received service requests may be accumulated, and if the downstream network system includes two areas, the service requests whose number of service requests is smaller than the first preset value may be allocated to the first area, and the service requests whose number of service requests is between the first preset value and the second preset value may be allocated to the second area. For example, if the flow ratio of the area a to the area B is 4:1, in one cycle, the upper limit of the cumulative number is 5, based on the expected request number corresponding to the area a determined in the above step being 4, the expected request number corresponding to the area B may be 1, the service request with the cumulative number of the current service request being less than or equal to 4 may be allocated to the area a, the service request with the cumulative number of the previous service request being greater than or equal to 4 and less than or equal to 5 may be allocated to the area B, and then the cumulative number is cleared, and the cycle is ended. It will be appreciated that the first 4 service requests are allocated to zone B, the 5 th service request is allocated to zone a, the accumulated number is cleared, and the cycle is ended, with the next time the accumulation is continued again. Optionally, the service request when the accumulated number of the current service requests is 1 may be allocated to the area B, the service request with the accumulated number of the previous service requests greater than 1 and less than or equal to 5 may be allocated to the area a, and then the accumulated number is cleared, and the cycle is ended. It will be appreciated that the 1 st service request is allocated to zone B, the last 4 service requests are allocated to zone a, the accumulated number is cleared, and the cycle is ended, with the next iteration continuing to re-accumulate.
If the downstream network system comprises three areas, service requests with the number of service requests smaller than a first preset value can be distributed to the first area, and service requests with the number of service requests between the first preset value and a second preset value can be distributed to the second area; and distributing the service requests with the number of the service requests between the second preset value and the third preset value to the second area, and the like. The target area is the area that receives the service request. For example, if the flow ratio of the area a, the area B, and the area C is 1:2:3, in one cycle, the upper limit of the cumulative number is 6, the number of expected requests corresponding to the area a determined based on the above steps is 1, the number of expected requests corresponding to the area B may be 2, the number of expected requests corresponding to the area C may be 3, the service request with the cumulative number of current service requests being 1 or less may be allocated to the area a, the service request with the cumulative number of previous service requests being 1 or less and 3 or less may be allocated to the area B, the service request with the cumulative number of previous service requests being 3 or more and 6 or less may be allocated to the area C, and then the cumulative number is cleared, and the cycle is ended. It will be appreciated that the first 1 service request is allocated to zone a, the 2 nd to 3 rd service requests are allocated to zone B, the 4 th to 6 th service requests are allocated to zone C, the accumulated number is then cleared, and the cycle is ended, with the next iteration continuing to be repeated. Alternatively, the service request with the cumulative number of the current service requests less than or equal to 2 may be allocated to the area B, the service request with the cumulative number of the previous service requests greater than 2 and less than or equal to 5 may be allocated to the area C, the service request with the cumulative number of the previous service requests greater than 5 and less than or equal to 6 may be allocated to the area B, and then the cumulative number is cleared, and the cycle is ended. It will be appreciated that the first 2 service requests are allocated to zone B, the 3 rd to 5 th service requests are allocated to zone C, the 6 th service request is allocated to zone a, the accumulated number is cleared, and the cycle is ended, and the next time the accumulation is continued again.
In the above embodiment, the number of service requests is counted by determining, so that the service number is distributed proportionally, which is helpful to avoid the situation that some areas are overloaded and other areas are loaded lower, and the load balancing effect of the whole system is improved.
In all the above embodiments, there is also provided a flow distribution method, as shown in fig. 7, including:
s701, receiving a service request sent by an upstream network system;
s702, determining a first preset parameter according to the multiple of the sum of a proportion front term and a proportion rear term corresponding to the flow proportion based on a random distribution rule.
S703, determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
S704, performing a residual operation on the first preset parameter and the second preset parameter to obtain a residual value.
S705, when the remainder value is the target value, using the region corresponding to the target value as the target region corresponding to the service request according to the correspondence between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
S706, based on the statistical distribution rule, determining the expected request quantity corresponding to each area according to the flow ratio of all areas.
S707, determining the accumulation number of the currently received service requests, and taking the area corresponding to the accumulation number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
S708, the service request is allocated to the target area.
In the embodiment, the service quantity is distributed according to the proportion through the distribution rule example, so that the service quantity can be directly realized by using the software codes, hardware load balancing is not needed, dependence on special hardware for load balancing is avoided, and the cost is saved.
The method of each step is described in the foregoing embodiments, and the detailed description is referred to the foregoing description and is not repeated here.
It should be understood that, although the steps in the flowcharts related to the embodiments described above are sequentially shown as indicated by arrows, these steps are not necessarily sequentially performed in the order indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described in the above embodiments may include a plurality of steps or a plurality of stages, which are not necessarily performed at the same time, but may be performed at different times, and the order of the steps or stages is not necessarily performed sequentially, but may be performed alternately or alternately with at least some of the other steps or stages.
Based on the same inventive concept, the embodiment of the application also provides a flow distribution device for realizing the flow distribution method. The implementation of the solution provided by the device is similar to the implementation described in the above method, so the specific limitation of one or more embodiments of the flow distribution device provided below may be referred to the limitation of the flow distribution method hereinabove, and will not be repeated here.
In one embodiment, as shown in fig. 8, there is provided a flow distribution device comprising:
a receiving module 10, configured to receive a service request sent by an upstream network system;
a determining module 11, configured to determine, based on a preset allocation rule, a target area corresponding to the service request according to a flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
an allocation module 12, configured to allocate the service request to the target area.
In one embodiment, the determining module 11 includes:
the first determining unit is used for determining a first preset parameter and a second preset parameter according to the flow ratio.
And the second determining unit is used for determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In one embodiment, the first determining unit includes:
and the first determination subunit is used for determining a first preset parameter according to the multiple of the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
And the second determining subunit is used for determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In one embodiment, the second determining unit includes:
and the residual calculating subunit is used for carrying out residual calculating on the first preset parameter and the second preset parameter to obtain a residual value.
And the third determining subunit is used for determining the target area corresponding to the service request according to the remainder value.
In one embodiment, the third determining subunit is specifically configured to, when the remainder value is a target value, use, as the target area corresponding to the service request, the area corresponding to the target value according to the correspondence between the value and the area; the correspondence between the values and the regions is determined according to the flow ratio.
In one embodiment, the determining module 11 includes:
and the third determining unit is used for determining the expected request quantity corresponding to each area according to the flow rate proportion of all the areas.
And a fourth determining unit, configured to determine an accumulated number of currently received service requests, and take, as a target area, an area corresponding to the accumulated number of service requests according to a correspondence between the expected number of requests and the area.
The various modules in the flow distribution device described above may be implemented in whole or in part by software, hardware, and combinations thereof. The above modules may be embedded in hardware or may be independent of a processor in the computer device, or may be stored in software in a memory in the computer device, so that the processor may call and execute operations corresponding to the above modules.
In one embodiment, a computer device is provided, which may be a terminal, and the internal structure thereof may be as shown in fig. 9. The computer device includes a processor, a memory, an input/output interface, a communication interface, a display unit, and an input means. The processor, the memory and the input/output interface are connected through a system bus, and the communication interface, the display unit and the input device are connected to the system bus through the input/output interface. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes a non-volatile storage medium and an internal memory. The non-volatile storage medium stores an operating system and a computer program. The internal memory provides an environment for the operation of the operating system and computer programs in the non-volatile storage media. The input/output interface of the computer device is used to exchange information between the processor and the external device. The communication interface of the computer device is used for carrying out wired or wireless communication with an external terminal, and the wireless mode can be realized through WIFI, a mobile cellular network, NFC (near field communication) or other technologies. The computer program is executed by a processor to implement a method of traffic distribution. The display unit of the computer device is used for forming a visual picture, and can be a display screen, a projection device or a virtual reality imaging device. The display screen can be a liquid crystal display screen or an electronic ink display screen, and the input device of the computer equipment can be a touch layer covered on the display screen, can also be a key, a track ball or a touch pad arranged on the shell of the computer equipment, and can also be an external keyboard, a touch pad or a mouse and the like.
It will be appreciated by persons skilled in the art that the architecture shown in fig. 9 is merely a block diagram of some of the architecture relevant to the present inventive arrangements and is not limiting as to the computer device to which the present inventive arrangements are applicable, and that a particular computer device may include more or fewer components than shown, or may combine some of the components, or have a different arrangement of components.
In one embodiment, a computer device is provided comprising a memory and a processor, the memory having stored therein a computer program, the processor when executing the computer program performing the steps of:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a first preset parameter and a second preset parameter according to the flow ratio;
and determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining a first preset parameter according to the multiple of the sum of a proportional front term and a proportional rear term corresponding to the flow rate proportion;
and determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In one embodiment, the processor when executing the computer program further performs the steps of:
performing residual calculation on the first preset parameter and the second preset parameter to obtain a residual value;
and determining a target area corresponding to the service request according to the remainder value.
In one embodiment, the processor when executing the computer program further performs the steps of:
when the remainder value is a target value, taking the region corresponding to the target value as a target region corresponding to the service request according to the corresponding relation between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
In one embodiment, the processor when executing the computer program further performs the steps of:
determining the expected request quantity corresponding to each area according to the flow ratio of all areas;
and determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
In one embodiment, a computer readable storage medium is provided having a computer program stored thereon, which when executed by a processor, performs the steps of:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
the service request is assigned to the target area.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first preset parameter and a second preset parameter according to the flow ratio;
and determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first preset parameter according to the multiple of the sum of a proportional front term and a proportional rear term corresponding to the flow rate proportion;
and determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In one embodiment, the computer program when executed by the processor further performs the steps of:
Performing residual calculation on the first preset parameter and the second preset parameter to obtain a residual value;
and determining a target area corresponding to the service request according to the remainder value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the remainder value is a target value, taking the region corresponding to the target value as a target region corresponding to the service request according to the corresponding relation between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the expected request quantity corresponding to each area according to the flow ratio of all areas;
and determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
In one embodiment, a computer program product is provided comprising a computer program which, when executed by a processor, performs the steps of:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
The service request is assigned to the target area.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first preset parameter and a second preset parameter according to the flow ratio;
and determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining a first preset parameter according to the multiple of the sum of a proportional front term and a proportional rear term corresponding to the flow rate proportion;
and determining a second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
In one embodiment, the computer program when executed by the processor further performs the steps of:
performing residual calculation on the first preset parameter and the second preset parameter to obtain a residual value;
and determining a target area corresponding to the service request according to the remainder value.
In one embodiment, the computer program when executed by the processor further performs the steps of:
when the remainder value is a target value, taking the region corresponding to the target value as a target region corresponding to the service request according to the corresponding relation between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
In one embodiment, the computer program when executed by the processor further performs the steps of:
determining the expected request quantity corresponding to each area according to the flow ratio of all areas;
and determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as a target area according to the corresponding relation between the expected request number and the area.
In one embodiment, the computer program when executed by the processor further performs the steps of:
those skilled in the art will appreciate that implementing all or part of the above described methods may be accomplished by way of a computer program stored on a non-transitory computer readable storage medium, which when executed, may comprise the steps of the embodiments of the methods described above. Any reference to memory, database, or other medium used in embodiments provided herein may include at least one of non-volatile and volatile memory. The nonvolatile Memory may include Read-Only Memory (ROM), magnetic tape, floppy disk, flash Memory, optical Memory, high density embedded nonvolatile Memory, resistive random access Memory (ReRAM), magnetic random access Memory (Magnetoresistive Random Access Memory, MRAM), ferroelectric Memory (Ferroelectric Random Access Memory, FRAM), phase change Memory (Phase Change Memory, PCM), graphene Memory, and the like. Volatile memory can include random access memory (Random Access Memory, RAM) or external cache memory, and the like. By way of illustration, and not limitation, RAM can be in the form of a variety of forms, such as static random access memory (Static Random Access Memory, SRAM) or dynamic random access memory (Dynamic Random Access Memory, DRAM), and the like. The databases referred to in the embodiments provided herein may include at least one of a relational database and a non-relational database. The non-relational database may include, but is not limited to, a blockchain-based distributed database, and the like. The processor referred to in the embodiments provided in the present application may be a general-purpose processor, a central processing unit, a graphics processor, a digital signal processor, a programmable logic unit, a data processing logic unit based on quantum computing, or the like, but is not limited thereto.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The foregoing examples illustrate only a few embodiments of the application and are described in detail herein without thereby limiting the scope of the application. It should be noted that it will be apparent to those skilled in the art that several variations and modifications can be made without departing from the spirit of the application, which are all within the scope of the application. Accordingly, the scope of the application should be assessed as that of the appended claims.

Claims (10)

1. A method of flow distribution, the method comprising:
receiving a service request sent by an upstream network system;
based on a preset allocation rule, determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
And distributing the service request to the target area.
2. The traffic distribution method according to claim 1, wherein the preset distribution rule is the random distribution rule, and the determining the target area corresponding to the service request according to the traffic proportion of all areas where the downstream network system corresponding to the upstream network system is located includes:
determining a first preset parameter and a second preset parameter according to the flow ratio;
and determining a target area corresponding to the service request according to the first preset parameter and the second preset parameter.
3. The flow distribution method according to claim 2, wherein the determining the first preset parameter and the second preset parameter according to the flow ratio includes:
determining the first preset parameter according to the multiple of the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion;
and determining the second preset parameter according to the sum of the proportional front term and the proportional rear term corresponding to the flow rate proportion.
4. The method for traffic distribution according to claim 2, wherein the determining the target area corresponding to the service request according to the first preset parameter and the second preset parameter includes:
Performing a residual operation on the first preset parameter and the second preset parameter to obtain a residual value;
and determining a target area corresponding to the service request according to the remainder value.
5. The method for traffic distribution according to claim 4, wherein said determining the target area corresponding to the service request according to the remainder value includes:
when the remainder value is a target value, taking a region corresponding to the target value as a target region corresponding to the service request according to a corresponding relation between the value and the region; the correspondence between the values and the regions is determined according to the flow ratio.
6. The traffic distribution method according to claim 1, wherein the preset distribution rule is the statistical distribution rule, and the determining the target area corresponding to the service request according to the traffic proportion of all areas where the downstream network system corresponding to the upstream network system is located includes:
determining the expected request quantity corresponding to each area according to the flow ratio of all areas;
and determining the accumulated number of the currently received service requests, and taking the area corresponding to the accumulated number of the service requests as the target area according to the corresponding relation between the expected request number and the area.
7. A flow distribution device, the device comprising:
the receiving module is used for receiving the service request sent by the upstream network system;
the determining module is used for determining a target area corresponding to the service request according to the flow ratio of all areas where the downstream network system corresponding to the upstream network system is located based on a preset allocation rule; the preset allocation rule comprises a random allocation rule or a statistical allocation rule;
and the distribution module is used for distributing the service request to the target area.
8. A computer device comprising a memory and a processor, the memory storing a computer program, characterized in that the processor implements the steps of the method of any of claims 1 to 6 when the computer program is executed.
9. A computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
10. A computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, implements the steps of the method of any of claims 1 to 6.
CN202310996142.7A 2023-08-08 2023-08-08 Flow distribution method and device, computer equipment and storage medium Pending CN117201500A (en)

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