CN114626730A - Resource allocation method, device, computer equipment and computer readable storage medium - Google Patents

Resource allocation method, device, computer equipment and computer readable storage medium Download PDF

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CN114626730A
CN114626730A CN202210278845.1A CN202210278845A CN114626730A CN 114626730 A CN114626730 A CN 114626730A CN 202210278845 A CN202210278845 A CN 202210278845A CN 114626730 A CN114626730 A CN 114626730A
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王锫
李平
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Ping An International Financial Leasing Co Ltd
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Abstract

The application discloses a resource allocation method, a resource allocation device, computer equipment and a computer readable storage medium, which relate to the field of internet and data analysis and can realize dynamic allocation of resource channels so as to improve the overall service quality of a target platform. The method comprises the following steps: for each target platform in the plurality of target platforms, distributing a plurality of target channels for the target platform; receiving operation information uploaded by a target platform, and calculating a target score and a target rank corresponding to the target platform; if the target score is lower than the score threshold value and the target rank is lower than the rank threshold value, extracting the target platform as a platform to be released, and releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed; traversing a plurality of target platforms, extracting a plurality of platforms to be released for resource channel release, and storing the released plurality of channels to be distributed to a channel pool; and counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to the specified platform.

Description

Resource allocation method, device, computer equipment and computer readable storage medium
Technical Field
The present application relates to the field of internet and data analysis technologies, and in particular, to a resource allocation method, device, computer device, and computer-readable storage medium.
Background
With the continued growth of the internet industry, some internet platforms employ multiple vendors to ensure proper production or use of products. For example, in the field of vehicle acquisition, a financial company usually chooses to cooperate with a specialized GPS operator, which provides field services such as installation, overhaul and disconnection from GPS car networking equipment and platform services for on-line vehicle monitoring.
In the related art, the internet platform will agree with different service providers in advance to use the resource allocation ratio as a basis for subsequent resource allocation, and use simple evaluation indexes to constrain the service quality of the service providers, but the simple evaluation indexes are difficult to screen the service providers and cannot provide the allocation basis for resource allocation for the internet platform, so that the resource ratio obtained by the service providers will not change, and thus the service quality of the service providers is difficult to improve.
Disclosure of Invention
In view of this, the present application provides a resource allocation method, a resource allocation device, a computer device, and a computer readable storage medium, and mainly aims to solve the problem that the service quality of a service provider is difficult to improve because the proportion of resources obtained by the service provider at present is not changed.
According to a first aspect of the present application, there is provided a resource allocation method, including:
for each target platform in a plurality of target platforms, allocating a plurality of target channels to the target platform based on a first allocation proportion indicated by the target platform, wherein the first allocation proportion is used for indicating an initial proportion of resource channels allocated to the target platform;
receiving operation information uploaded by the target platform, and calculating a target score and a target rank corresponding to the target platform according to the operation information;
if the target score is lower than a score threshold value and the target rank is lower than a ranking threshold value, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool;
traversing a plurality of target platforms, extracting a plurality of platforms to be released for resource channel release, and storing a plurality of released channels to be distributed to the channel pool;
and counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to a specified platform, wherein the specified platform is used for indicating other target platforms except the platform to be released.
According to a second aspect of the present application, there is provided a resource allocation apparatus, the apparatus including:
the system comprises a first distribution module, a second distribution module and a third distribution module, wherein the first distribution module is used for distributing a plurality of target channels to a plurality of target platforms based on a first distribution ratio indicated by the target platforms for each target platform in the plurality of target platforms, and the first distribution ratio is used for indicating an initial ratio of resource channels distributed to the target platforms;
the calculation module is used for receiving the operation information uploaded by the target platform and calculating a target score and a target rank corresponding to the target platform according to the operation information;
the extraction module is used for extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed and storing the channel to be distributed to a channel pool if the target score is lower than a score threshold and the target rank is lower than a ranking threshold;
the storage module is used for traversing the target platforms, extracting a plurality of platforms to be released for resource channel release, and storing the released channels to be distributed to the channel pool;
and the second distribution module is used for counting all channels to be distributed stored in the channel pool and distributing all the channels to be distributed to a specified platform, and the specified platform is used for indicating other target platforms except the platform to be released.
According to a third aspect of the present application, there is provided a computer device comprising a memory storing a computer program and a processor implementing the steps of the method of any one of the first aspect when the computer program is executed by the processor.
According to a fourth aspect of the present application, there is provided a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any of the first aspects described above.
According to the technical scheme, for each target platform in a plurality of target platforms, firstly, a plurality of target channels are distributed for the target platform based on a first distribution proportion indicated by the target platform, then, operation information uploaded by the target platform is received, and target scores and target ranks corresponding to the target platform are calculated according to the operation information. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool. And traversing the target platforms, extracting the platforms to be released to release the resource channels, and storing the released channels to be distributed to the channel pool. And finally, counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to a specified platform, wherein the specified platform is used for indicating other target platforms except the platform to be released. In the invention, the resources are released by the platform to be released with the low target score and the low target rank, the channel to be distributed released by the platform to be released is distributed to the appointed platform, the dynamic distribution of the resource channels is realized, the first distribution proportion can be recovered for the target platform which is used as the platform to be released once, the resource proportion of the target platform with the high score is gradually expanded, the resource proportion of the target platform with the low score is gradually reduced, the resource proportion of the target platform with the score which basically meets the score threshold fluctuates up and down by taking the first distribution proportion as a base line, and the overall service quality of the target platform is further improved.
The foregoing description is only an overview of the technical solutions of the present application, and the present application can be implemented according to the content of the description in order to make the technical means of the present application more clearly understood, and the following detailed description of the present application is given in order to make the above and other objects, features, and advantages of the present application more clearly understandable.
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Various other advantages and benefits will become apparent to those of ordinary skill in the art upon reading the following detailed description of the preferred embodiments. The drawings are only for purposes of illustrating the preferred embodiments and are not to be construed as limiting the application. Also, like reference numerals are used to refer to like parts throughout the drawings. In the drawings:
fig. 1 is a schematic flowchart illustrating a resource allocation method according to an embodiment of the present application;
fig. 2 is a schematic flowchart illustrating a resource allocation method according to an embodiment of the present application;
fig. 3 is a schematic structural diagram illustrating a resource allocation apparatus according to an embodiment of the present application;
FIG. 4 is a schematic structural diagram of a computer device according to an embodiment of the present application;
fig. 5 shows another schematic structural diagram of a computer device according to an embodiment of the present application.
Fig. 6 shows a schematic device structure diagram of a computer apparatus according to an embodiment of the present application.
Detailed Description
Exemplary embodiments of the present application will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present application are shown in the drawings, it should be understood that the present application may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In a specific implementation scenario, the resource allocation method provided by the application may be provided with a client and a server, wherein the client communicates with the server through a network. The client comprises a target platform terminal set by the target platform and a hiring platform terminal set by the hiring platform providing the resource channel, the target platform can upload running information to the server based on the target platform terminal, and the hiring platform terminal can receive the resource occupation ratio of each target platform sent by the server. Among other things, the client may be, but is not limited to, various personal computers, laptops, smartphones, tablets, and portable wearable devices. The server can be implemented by an independent server or a server cluster composed of a plurality of servers. The present invention is described in detail below with reference to specific examples.
An embodiment of the present application provides a resource allocation method, as shown in fig. 1, the method includes:
101. and for each target platform in the plurality of target platforms, distributing a plurality of target channels for the target platform based on the first distribution proportion indicated by the target platform.
In the embodiment of the present application, considering that an employment platform providing a resource channel usually signs up a plurality of target platforms providing services in an invitation manner, and the basic allocation proportion agreed in advance for each target platform is different, the server needs to allocate resources to each target platform according to the initial allocation proportion corresponding to each target platform, that is, the first allocation proportion. Further, the employment platform is provided with a plurality of resource channels, the number of the resources published by each channel is different, namely the corresponding resource occupation ratio of each resource channel is different, and the server extracts at least one resource channel with the sum of the resource occupation ratios equal to the first allocation ratio from the plurality of resource channels as a plurality of target channels to be allocated to each target platform based on the first allocation ratio of each target platform. For example, the first allocation ratio of the target platform a is 20%, and the employment platform is provided with 5 resource channels, wherein the resource ratio of the resource channel 1 is 5%, the resource ratio of the resource channel 2 is 10%, the resource ratio of the resource channel 3 is 15%, the resource ratio of the resource channel 4 is 30%, and the resource ratio of the resource channel 5 is 40%. According to the first allocation ratio, the resource channel 1 and the resource channel 3 having a resource ratio and a value of 20% can be extracted from the 5 resource channels and allocated to the target platform a as a plurality of target channels.
102. And receiving the operation information uploaded by the target platform, and calculating the target score and the target rank corresponding to the target platform according to the operation information.
In this embodiment of the application, the target platform may upload the operation information based on a client set by the target platform, that is, the target platform terminal, specifically, the server may preset a time interval, for example, 1 month, 3 months, and send the reminding information to the target platform terminal when a time interval between the current time and the historical time of receiving the operation information last time meets the preset time interval, so that the target platform uploads the operation information in this period. And the server receives the running information uploaded by the target platform, compares the running information with a preset scoring index, and obtains a target score and a target rank corresponding to the target platform.
103. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool.
In the embodiment of the application, after the server acquires the target score and the target rank corresponding to each target platform, the server needs to compare the plurality of target scores with the score threshold, compare the plurality of target ranks with the rank threshold, and find out the platform to be released, of which the target score is lower than the score threshold and the target rank is lower than the rank threshold. It should be noted that the scoring threshold and the ranking threshold may adopt default numerical values of a server, or may be set by a worker according to actual conditions, and the setting manner and the numerical value of the scoring threshold and the ranking threshold are not specifically limited in the present application. And then releasing a certain proportion of target channels from the plurality of resource channels allocated to the platform to be released as channels to be allocated, wherein the released channels to be allocated are stored to the channel pool by the server side to wait for reallocation.
104. Traversing a plurality of target platforms, extracting a plurality of platforms to be released for resource channel release, and storing the plurality of released channels to be distributed to a channel pool.
In this embodiment of the application, the server may traverse a plurality of target platforms, that is, compare a target score corresponding to each target platform with a score threshold and compare a target rank with a rank threshold, determine whether the current target platform meets an operation requirement set by the employment platform, if the current target platform does not meet the operation requirement set by the employment platform, that is, the target score is lower than the score threshold and the target rank is lower than the rank threshold, extract the current target platform as a platform to be released to release a resource channel, and store the released channel to be distributed in a channel pool to be redistributed.
105. And counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to the specified platform.
In the embodiment of the application, the server traverses the whole channel pool, counts all channels to be distributed stored in the channel pool, and distributes all the channels to be distributed to the designated platform according to the preset distribution proportion uploaded by the employment platform. Specifically, the designated platform is used to indicate other target platforms except for the platform to be released.
For example, if the employment platform signs up for target platform a, target platform B, and target platform C, wherein the target score of target platform a is lower than the score threshold and the target rank is lower than the ranking threshold, and a part of the resource channels are released as channels to be allocated, then the channels to be allocated released will be allocated to other target platforms B and C except for platform a to be released.
According to the method provided by the embodiment of the application, for each target platform in a plurality of target platforms, a plurality of target channels are allocated to the target platform based on the first allocation proportion indicated by the target platform, then the running information uploaded by the target platform is received, and the target score and the target ranking corresponding to the target platform are calculated according to the running information. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool. And traversing the target platforms, extracting the platforms to be released to release the resource channels, and storing the released channels to be distributed to the channel pool. And finally, counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to a specified platform, wherein the specified platform is used for indicating other target platforms except the platform to be released. In the invention, the resources are released by the platform to be released with the low target score and the low target rank, the channel to be distributed released by the platform to be released is distributed to the appointed platform to realize the dynamic distribution of the resource channels, the first distribution proportion can be recovered for the target platform which is used as the platform to be released once, the resource proportion of the target platform with higher score is gradually expanded, the resource proportion of the target platform with lower score is gradually reduced, the resource proportion of the target platform with score basically meeting the score threshold value fluctuates up and down by taking the first distribution proportion as a base line, and the overall service quality of the target platform is further improved.
An embodiment of the present application provides a resource allocation method, as shown in fig. 2, the method includes:
201. and reading channel labels and time labels of all historical resource information in the historical resource library, and extracting a plurality of historical resource information of which the time for generating the content indication information of the time labels is within a preset time range.
In the embodiment of the present application, it is considered that the server may record the resource flow of each resource data provided by the employment platform in detail, that is, record which target platform the current resource is allocated to, the time when the current resource is allocated to the allocated target platform, and the like, and store the contents in the historical resource library. Therefore, the server side can read all historical resource information stored in the historical resource library, determine the contents respectively indicated by the channel label and the time label of each piece of historical resource information, and further extract a plurality of pieces of historical resource information of which the time label content indication information generation time is within a preset time range.
Specifically, a plurality of history resource information in which the time stamp content indicating information generation time is within a preset time range are extracted from all the history resource information. Specifically, the time indicated by the time tag may be compared with a preset time range, taking 1 piece of historical resource information as an example, the time indicated by the time tag of the current historical resource information 1 is 3 months and 15 numbers, the preset time range is from the current reading time to 1 month before the current reading time, the current reading time is 4 months and 1 day, the preset time range is from 3 months and 1 day to 4 months and 1 generation time of the historical resource information 1 is 3 months and 15 numbers, and the time indicated by the time tag can be extracted within the preset time range.
Part of historical resource information is extracted through the steps, and data basis is provided for the subsequent estimation of the resource quantity issued by each resource channel.
202. Reading channel labels of a plurality of historical resource information, and dividing the historical resource information with consistent channel label content into the same resource channel to obtain a plurality of resource channels.
Specifically, the server identifies channel labels of a plurality of historical resource information based on natural language processing technology. It should be noted that the content of the channel label indicates from which resource channel the resource corresponding to the current historical resource information is originated. Further, the server divides the historical resource information with consistent channel label content into a same group to obtain a plurality of groups, wherein each group corresponds to one resource channel and all resources issued by the corresponding resource channel within a preset time range are stored in each group.
203. And calculating a plurality of resource ratios corresponding to the plurality of resource channels, and determining and distributing a plurality of target channels for the target platform in the plurality of resource channels based on the plurality of resource ratios.
In the embodiment of the application, the server determines the total quantity of resources issued by the resource channels corresponding to the current group within a preset time range according to the grouping condition of the plurality of historical resource information, determines the average value and the composite growth rate of the resources according to the total quantity of the resources and the preset time range, and further infers the quantity of the resources of each resource channel when the hiring platform issues the resources next time, calculates the resource proportion corresponding to each resource channel, and allocates the resource channels to the target platform. It should be noted that, in practice, the server may calculate the monthly resource mean and the monthly composite growth rate according to the monthly unit, and then estimate the number of resources that can be delivered by the current resource channel in the next month.
Specifically, for each resource channel of a plurality of resource channels, the resource quantity of the historical resource information in the resource channel is counted. And then, calculating the resource mean value and the composite growth rate of the resource channel by adopting the resource number and the preset time range, calculating the product of the resource mean value and the composite growth rate, and adding the product and the resource mean value to obtain the target resource number corresponding to the resource channel. And then, calculating the target resource number corresponding to each resource channel in the plurality of resource channels, and adding the plurality of target resource numbers to obtain the total number of the resources. And finally, calculating the ratio of the target resource number corresponding to each resource channel in the plurality of resource channels to the total number of the resources to obtain a plurality of resource occupation ratios corresponding to the plurality of resource channels. Further, at least one resource channel with the sum of the resource proportions equal to the first allocation proportion is extracted from the plurality of resource channels, and the at least one resource channel is allocated to the target platform as a plurality of target channels.
For example, the first allocation ratio of the target platform a is 20%, and the employment platform is provided with 5 resource channels, wherein the resource ratio of the resource channel 1 is 5%, the resource ratio of the resource channel 2 is 10%, the resource ratio of the resource channel 3 is 15%, the resource ratio of the resource channel 4 is 30%, and the resource ratio of the resource channel 5 is 40%. According to the first allocation ratio, the resource channel 1 and the resource channel 3 having a resource ratio and a value of 20% can be extracted from the 5 resource channels and allocated to the target platform a as a plurality of target channels.
204. Receiving operation information uploaded by the target platform, extracting scoring indexes from a scoring index library, and comparing the operation information with the scoring indexes respectively to obtain a plurality of target scores corresponding to the target platform.
In this embodiment of the application, the target platform may upload the operation information based on a client set by the target platform, that is, the target platform terminal, specifically, the server may preset a time interval, for example, 1 month, 3 months, and send the reminding information to the target platform terminal when a time interval between the current time and the historical time of receiving the operation information last time meets the preset time interval, so that the target platform uploads the operation information in this period. And the server receives the running information uploaded by the target platform, compares the running information with a preset scoring index, and obtains a target score and a target rank corresponding to the target platform.
In the actual application process, the server side can acquire the operation information of the target platform in a month unit, verify the operation information according to the preset scoring index, and generate a monthly score. It should be noted that the scoring index includes a plurality of scoring dimensions, each scoring dimension may adopt a default category of the server, or may be set by a relevant worker based on an actual operation condition, and the scoring dimensions are not specifically limited in the present application. Taking a GPS service provider as an example, the scoring index may be constructed and improved according to factors such as hardware characteristics of GPS equipment, actual service requirements, and the like. Specifically, the scoring index may be an order average response time of the equipment installation service class: average age of the supplier from receiving the order to final equipment installation and activation; correctness of order results: the installation requirements of the order dispatching and the equipment type and quantity requirements in the installation results reported by the order are consistent; the frame number and the equipment number in the installation picture are identified by ocr, and the results are consistent with the reported corresponding field values; order installation process authenticity: the consistence of the order dispatching installation address, the installation place card punching address and the equipment activation address; the positioning consistency of multiple devices under the condition of single-vehicle multiple-device installation; the online rate trend of the GPS equipment of the quality monitoring class of the GPS after installation is as follows: real-time online rate, online rate after 1 week, online rate after 1 month, online rate after 6 months, online rate after 1 year; device alarm rate: the proportion of low-power alarm, power-off alarm and other equipment-level alarm is generated; and (3) equipment separation early warning: under the condition of multiple devices in a single vehicle, the devices are positioned to have the situation of large-distance separation; and (3) high-frequency reporting of the equipment: the proportion of the equipment which does not carry out positioning information reporting according to the positioning frequency requirement; the first report rate of the equipment: the proportion of devices that have been activated but have never reported location data.
Furthermore, the hiring platform can set the weight of each scoring item while uploading the scoring indexes, finally, scores of multiple dimensions are weighted and added, and finally, the target score of the target platform is obtained.
205. And traversing the target platforms to obtain a plurality of target scores, and sequencing the target scores from large to small to obtain a target rank corresponding to each target platform.
In the embodiment of the application, the server reads the target score of each target platform in the plurality of target platforms, and sorts the plurality of target scores in descending order to obtain the score ranking corresponding to each target score. For example, the target score of the target platform a is 60 scores, the target score of the target platform B is 90 scores, the target score of the target platform C is 50 scores, and according to the descending order of the target scores, 90 scores are ranked first, 60 scores are ranked second, and 50 scores are ranked third. Further, for each target platform in the multiple target platforms, a target score corresponding to the target platform and a score rank corresponding to the target score are determined, and the score rank is used as the target rank corresponding to the target platform. Still taking target platform a, target platform B and target platform C as examples, the target platform corresponding to the score of 90 is B, the score ranking of the score of 90 is first, the target ranking of the target platform B is first, the target platform corresponding to the score of 60 is a, the score ranking of the score of 60 is second, the target ranking of the target platform B is second, the target platform corresponding to the score of 50 is C, the score ranking of the score of 50 is third, and the target ranking of the target platform C is third.
206. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool.
In the embodiment of the application, the server compares the target score corresponding to each target platform with the score threshold value and compares the target ranking with the ranking threshold value, and judges whether the current target platform meets the operation requirement set by the employment platform. If the operation requirement set by the employment platform is not met, namely the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the current target platform as the platform to be released to release the resource channels, and storing the released channels to be distributed to the channel pool to wait for redistribution.
Specifically, a resource release ratio is extracted from a preset ratio library, a plurality of target channels corresponding to a platform to be released are determined to serve as a plurality of channels to be released, and resource occupation ratios corresponding to the channels to be released are inquired. And then, extracting a first appointed channel with the resource ratio smaller than that of other resources from the channels to be released, and comparing the resource ratio corresponding to the first appointed channel with the resource release ratio. And if the resource proportion of the first specified channel is smaller than the resource release proportion, extracting a second specified channel of which the resource proportion is smaller than that of other resources from the plurality of channels to be released after extraction. And calculating the sum of the resource ratio corresponding to the first specified channel and the resource ratio corresponding to the second specified channel, and comparing the sum with the resource release ratio. Further, if the sum is smaller than the resource release ratio, continuing to extract a third designated channel from the plurality of channels to be released remaining after extraction until the sum of the plurality of resource occupation ratios corresponding to the extracted at least one designated channel is equal to the resource release ratio, wherein the designated channel comprises a first designated channel, a second designated channel and a third designated channel, and taking the extracted at least one designated channel as a channel to be distributed.
For example, the target platform C is a channel to be released, and the target platform C is allocated with a resource ratio of 2% for the resource channel 1, 3% for the resource channel 2, 5% for the resource channel 3, and 10% for the resource channel 4. If the total release proportion set by the hiring platform is 50%, and the total resource proportion of the target platform C is 20%, the resource release proportion of the target platform C is 50% multiplied by 20% and equals to 10%, extracting is started from the resource channel 1 with the resource proportion smaller than other resource proportions, 2% is not equal to 10%, the resource channel 2 with the resource proportion smaller than other resource proportions is extracted from the rest resource channels, the sum of the resource proportions 2% and 3% of the two resource channels is not equal to 10%, the resource channel 3 with the resource proportion smaller than other resource proportions is extracted from the rest resource channels, the sum of the resource proportions 2%, 3% and 5% of the three resource channels is equal to 10%, extracting is stopped, and the extracted resource channel 1, resource channel 2 and resource channel 3 are used as channels to be allocated.
207. Traversing a plurality of target platforms, extracting a plurality of platforms to be released for resource channel release, storing the plurality of channels to be distributed which are released to a channel pool, and distributing all channels to be distributed in the channel pool to an appointed platform according to the resource occupation ratios corresponding to the plurality of channels to be distributed.
In the embodiment of the application, the server side counts all channels to be distributed stored in the channel pool, extracts a second distribution proportion used for indicating the distribution proportion of the channel pool from a preset proportion library, and reads the resource proportion corresponding to all the channels to be distributed stored in the channel pool to obtain a plurality of resource proportions. And distributing all channels to be distributed to the specified platform according to the plurality of resource ratios.
In the practical application process, a plurality of channels released by a plurality of platforms to be released are considered to be stored in the channel pool. Therefore, the channels to be allocated in the channel pool need to be sorted from large to small according to the resource occupation ratio. And then, extracting a first channel with a resource ratio larger than other resource ratios from all channels to be distributed, and distributing the first channel to a first platform, wherein the first platform is used for indicating a target platform with a target ranking larger than a preset ranking. And continuously extracting a second channel with the resource ratio larger than that of other channels in the remaining channels to be distributed after extraction, and distributing the second channel to the first platform until the sum of the resource ratios of the remaining channels to be distributed is equal to the second distribution ratio. And then, calculating the appointed resource ratio corresponding to each appointed sub-platform at present, and comparing the appointed resource ratio with the first allocation ratio corresponding to the appointed sub-platform. And if the comparison result indicates that the designated resource proportion is smaller than the first allocation proportion, extracting the designated sub-platform as a second platform. And finally, calculating a deviation ratio corresponding to the second platform, continuously extracting at least one channel to be distributed with a resource occupation ratio sum value equal to the deviation ratio from the channel pool, and distributing the at least one channel to be distributed to the second platform. The process of calculating the deviation ratio can be implemented based on the following formula 1:
equation 1:
Figure BDA0003557265830000111
wherein Pbase is the first allocation ratio, Pi is the designated resource ratio. For example, 1-m% of the channels to be allocated remain in the channel pool, after the first platform receives all the channels to be allocated, it is counted that after the platform a in the designated platform receives the channels to be allocated, the sum of the resource proportions corresponding to all the resource channels is 15%, but the first allocation proportion of the platform a is 20%, the resource channel 1 with the resource proportion of 5% is extracted from the remaining resources to be allocated in the channel pool and allocated to the platform a, and if 5% of the resource channels do not exist in the resource pool, the resource channel 2 with the resource proportion of 2% and the resource channel 3 with the resource proportion of 3% can be extracted from the resource pool and allocated to the platform a.
To sum up, according to the method provided by the embodiment of the application, for each target platform in a plurality of target platforms, a plurality of target channels are allocated to the target platform based on the first allocation proportion indicated by the target platform, then, the operation information uploaded by the target platform is received, and the target score and the target rank corresponding to the target platform are calculated according to the operation information. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool. And traversing the target platforms, extracting the platforms to be released to release the resource channels, and storing the released channels to be distributed to the channel pool. And finally, counting all channels to be distributed stored in the channel pool, distributing all the channels to be distributed to the appointed platform, wherein the appointed platform is used for indicating other target platforms except the platform to be released. In the invention, the resources are released by the platform to be released with the low target score and the low target rank, the channel to be distributed released by the platform to be released is distributed to the appointed platform to realize the dynamic distribution of the resource channels, the first distribution proportion can be recovered for the target platform which is used as the platform to be released once, the resource proportion of the target platform with higher score is gradually expanded, the resource proportion of the target platform with lower score is gradually reduced, the resource proportion of the target platform with score basically meeting the score threshold value fluctuates up and down by taking the first distribution proportion as a base line, and the overall service quality of the target platform is further improved.
Further, as a specific implementation of the method shown in fig. 1, an embodiment of the present application provides a resource allocation apparatus, as shown in fig. 3, the apparatus includes: a first allocation module 301, a calculation module 302, an extraction module 303, a storage module 304, a second allocation module 305.
The first allocating module 301 is configured to, for each of a plurality of target platforms, allocate a plurality of target channels to the target platform based on a first allocation ratio indicated by the target platform, where the first allocation ratio is used to indicate an initial ratio of resource channels allocated to the target platform;
the calculating module 302 is configured to receive the operation information uploaded by the target platform, and calculate a target score and a target rank corresponding to the target platform according to the operation information;
the extracting module 303 is configured to, if the target score is lower than a score threshold and the target rank is lower than a ranking threshold, extract the target platform as a platform to be released, release at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be allocated, and store the channel to be allocated to a channel pool;
the storage module 304 is configured to traverse the multiple target platforms, extract multiple platforms to be released for resource channel release, and store the released multiple channels to be distributed in the channel pool;
the second allocating module 305 is configured to count all channels to be allocated stored in the channel pool, and allocate all the channels to be allocated to a designated platform, where the designated platform is configured to indicate other target platforms except for the platform to be released.
In a specific application scenario, the first allocation module 301 is configured to read channel labels and time labels of all historical resource information in a historical resource library, and extract a plurality of historical resource information whose generation time of the content indication information of the time labels is within a preset time range; reading channel labels of the plurality of historical resource information, and dividing the historical resource information with consistent content of the channel labels into the same resource channel to obtain a plurality of resource channels; and calculating a plurality of resource ratios corresponding to the plurality of resource channels, and determining and distributing a plurality of target channels for the target platform in the plurality of resource channels based on the plurality of resource ratios.
In a specific application scenario, the first allocation module 301 is configured to count, for each resource channel of the multiple resource channels, a resource amount of historical resource information in the resource channel; calculating a resource mean value and a composite growth rate of the resource channel by adopting the resource quantity and the preset time range, calculating a product of the resource mean value and the composite growth rate, and adding the product and the resource mean value to obtain a target resource quantity corresponding to the resource channel; calculating a target resource number corresponding to each resource channel in a plurality of resource channels, and adding the target resource numbers to obtain a total number of resources; and calculating the ratio of the target resource number corresponding to each resource channel in the plurality of resource channels to the total number of the resources to obtain a plurality of resource occupation ratios corresponding to the plurality of resource channels.
In a specific application scenario, the first allocation module 301 is configured to extract at least one resource channel, of which the sum of the resource fractions is equal to the first allocation fraction, from the plurality of resource channels; allocating the at least one resource channel as the plurality of target channels to the target platform.
In a specific application scenario, the calculating module 302 is configured to extract a score index from a score index library, compare the operation information with the score index respectively, and obtain a plurality of target scores corresponding to the target platform, where the score index includes an evaluation dimension and weight information corresponding to the evaluation dimension; traversing the target platforms to obtain a plurality of target scores, and sequencing the target scores from large to small to obtain a score ranking corresponding to each target score; for each target platform in a plurality of target platforms, determining a target score corresponding to the target platform and a score ranking corresponding to the target score, and taking the score ranking as the target ranking corresponding to the target platform.
In a specific application scenario, the extracting module 303 is configured to extract a resource release ratio from a preset ratio library, determine a plurality of target channels corresponding to the platform to be released as a plurality of channels to be released, and query resource occupation ratios corresponding to the plurality of channels to be released; extracting a first appointed channel with a resource ratio smaller than other resource ratios from the channels to be released, and comparing the resource ratio corresponding to the first appointed channel with the resource release ratio; if the resource proportion of the first appointed channel is smaller than the resource release proportion, extracting a second appointed channel of which the resource proportion is smaller than other resource proportions from the plurality of channels to be released after extraction; calculating a sum of the resource ratio corresponding to the first specified channel and the resource ratio corresponding to the second specified channel, and comparing the sum with the resource release ratio; if the sum value is smaller than the resource release proportion, continuing to extract a third appointed channel from the plurality of channels to be released which are left after extraction until the sum value of a plurality of resource occupation ratios corresponding to at least one extracted appointed channel is equal to the resource release proportion, wherein the appointed channels comprise the first appointed channel, the second appointed channel and the third appointed channel; and taking the extracted at least one appointed channel as the channel to be distributed.
In a specific application scenario, the second allocating module 305 is configured to extract a second allocating proportion used for indicating a channel pool allocating proportion from a preset proportion library, and read resource proportions corresponding to all channels to be allocated stored in the channel pool to obtain a plurality of resource proportions; extracting a first channel with a resource proportion larger than that of other channels from all channels to be distributed, and distributing the first channel to a first platform, wherein the first platform is used for indicating a target platform with a target ranking larger than a preset ranking; continuing to extract a second channel with the resource ratio larger than that of other channels in the remaining channels to be allocated after extraction, and allocating the second channel to the first platform until the sum of the resource ratios of the remaining channels to be allocated is equal to the second allocation ratio; calculating the appointed resource ratio corresponding to each appointed sub-platform at present, and comparing the appointed resource ratio with the first allocation ratio corresponding to the appointed sub-platform; if the comparison result indicates that the designated resource proportion is smaller than the first allocation proportion, extracting the designated sub-platform as the second platform; and calculating a deviation ratio corresponding to the second platform, continuously extracting at least one channel to be distributed with a resource ratio sum value equal to the deviation ratio from the channel pool, and distributing the at least one channel to be distributed to the second platform.
According to the device provided by the embodiment of the application, for each target platform in a plurality of target platforms, a plurality of target channels are distributed for the target platform based on the first distribution proportion indicated by the target platform, then, the running information uploaded by the target platform is received, and the target score and the target ranking corresponding to the target platform are calculated according to the running information. And if the target score is lower than the score threshold and the target rank is lower than the ranking threshold, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool. And traversing the target platforms, extracting the platforms to be released to release the resource channels, and storing the released channels to be distributed to the channel pool. And finally, counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to a specified platform, wherein the specified platform is used for indicating other target platforms except the platform to be released. In the invention, the resources are released by the platform to be released with the low target score and the low target rank, the channel to be distributed released by the platform to be released is distributed to the appointed platform to realize the dynamic distribution of the resource channels, the first distribution proportion can be recovered for the target platform which is used as the platform to be released once, the resource proportion of the target platform with higher score is gradually expanded, the resource proportion of the target platform with lower score is gradually reduced, the resource proportion of the target platform with score basically meeting the score threshold value fluctuates up and down by taking the first distribution proportion as a base line, and the overall service quality of the target platform is further improved.
It should be noted that other corresponding descriptions of the functional units related to the resource allocation apparatus provided in the embodiment of the present application may refer to the corresponding descriptions in fig. 1 and fig. 2, and are not described again here. The modules in the resource allocation apparatus may be implemented in whole or in part by software, hardware, and a combination thereof. The modules can be embedded in a hardware form or independent from a processor in the computer device, and can also be stored in a memory in the computer device in a software form, so that the processor can call and execute operations corresponding to the modules.
In one embodiment, a computer device is provided, which may be a server, and its internal structure diagram may be as shown in fig. 4. The computer device includes a processor, a memory, a network interface, and a database connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device includes non-volatile and/or volatile storage media, internal memory. The non-volatile storage medium stores an operating system, a computer program, and a database. The internal memory provides an environment for the operation of an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external client through a network connection. The computer program is executed by a processor to implement the functions or steps of a service side of a resource allocation method.
In one embodiment, a computer device is provided, which may be a client, and its internal structure diagram may be as shown in fig. 5. The computer device includes a processor, a memory, a network interface, a display screen, and an input device connected by a system bus. Wherein the processor of the computer device is configured to provide computing and control capabilities. The memory of the computer device comprises a nonvolatile 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 an operating system and computer programs in the non-volatile storage medium. The network interface of the computer device is used for communicating with an external server through a network connection. The computer program is executed by a processor to implement functions or steps of a client side of a resource allocation method.
In an exemplary embodiment, referring to fig. 6, there is further provided a device, which includes a bus, a processor, a memory, and a communication interface, and may further include an input/output interface and a display device, wherein the functional units may communicate with each other through the bus. The memory stores computer programs, and the processor is used for executing the programs stored in the memory and executing the resource allocation method in the embodiment.
A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the resource allocation method.
Through the above description of the embodiments, those skilled in the art will clearly understand that the present application can be implemented by hardware, and also by software plus a necessary general hardware platform. Based on such understanding, the technical solution of the present application may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method according to the implementation scenarios of the present application.
Those skilled in the art will appreciate that the figures are merely schematic representations of one preferred implementation scenario and that the blocks or flow diagrams in the figures are not necessarily required to practice the present application.
Those skilled in the art will appreciate that the modules in the devices in the implementation scenario may be distributed in the devices in the implementation scenario according to the description of the implementation scenario, or may be located in one or more devices different from the present implementation scenario with corresponding changes. The modules of the implementation scenario may be combined into one module, or may be further split into a plurality of sub-modules.
The above application serial numbers are for description purposes only and do not represent the superiority or inferiority of the implementation scenarios.
The above disclosure is only a few specific implementation scenarios of the present application, but the present application is not limited thereto, and any variations that can be made by those skilled in the art are intended to fall within the scope of the present application.

Claims (10)

1. A method for resource allocation, comprising:
for each target platform in a plurality of target platforms, allocating a plurality of target channels to the target platform based on a first allocation proportion indicated by the target platform, wherein the first allocation proportion is used for indicating an initial proportion of resource channels allocated to the target platform;
receiving operation information uploaded by the target platform, and calculating a target score and a target rank corresponding to the target platform according to the operation information;
if the target score is lower than a score threshold value and the target rank is lower than a ranking threshold value, extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed, and storing the channel to be distributed to a channel pool;
traversing a plurality of target platforms, extracting a plurality of platforms to be released for resource channel release, and storing a plurality of released channels to be distributed to the channel pool;
and counting all channels to be distributed stored in the channel pool, and distributing all the channels to be distributed to a specified platform, wherein the specified platform is used for indicating other target platforms except the platform to be released.
2. The method of claim 1, wherein the allocating a plurality of target channels for the target platform based on the first allocation proportion indicated by the target platform comprises
Reading channel labels and time labels of all historical resource information in a historical resource library, and extracting a plurality of pieces of historical resource information of which the time label content indication information generation time is within a preset time range;
reading channel labels of the plurality of historical resource information, and dividing the historical resource information with consistent content of the channel labels into the same resource channel to obtain a plurality of resource channels;
and calculating a plurality of resource ratios corresponding to the plurality of resource channels, and determining and distributing a plurality of target channels for the target platform in the plurality of resource channels based on the plurality of resource ratios.
3. The method of claim 2, wherein the calculating the plurality of resource fractions corresponding to the plurality of resource channels comprises:
for each resource channel in the plurality of resource channels, counting the resource quantity of historical resource information in the resource channel;
calculating the resource average value and the composite growth rate of the resource channel by adopting the resource quantity and the preset time range, calculating the product of the resource average value and the composite growth rate, and adding the product and the resource average value to obtain the target resource quantity corresponding to the resource channel;
calculating the target resource number corresponding to each resource channel in the plurality of resource channels, and adding the plurality of target resource numbers to obtain the total number of resources;
and calculating the ratio of the target resource number corresponding to each resource channel in the plurality of resource channels to the total number of the resources to obtain a plurality of resource occupation ratios corresponding to the plurality of resource channels.
4. The method of claim 2, wherein determining and allocating a plurality of target channels among the plurality of resource channels for the target platform based on the plurality of resource proportions comprises:
extracting at least one resource channel of the plurality of resource channels having a sum of resource fractions equal to the first allocation fraction;
allocating the at least one resource channel as the plurality of target channels to the target platform.
5. The method of claim 1, wherein calculating a target score and a target rank corresponding to the target platform according to the operation information comprises:
extracting scoring indexes from a scoring index library, and comparing the operation information with the scoring indexes respectively to obtain a plurality of target scores corresponding to the target platform, wherein the scoring indexes comprise evaluation dimensions and weight information corresponding to the evaluation dimensions;
traversing the target platforms to obtain a plurality of target scores, and sequencing the target scores from large to small to obtain a score ranking corresponding to each target score;
for each target platform in a plurality of target platforms, determining a target score corresponding to the target platform and a score rank corresponding to the target score, and taking the score rank as the target rank corresponding to the target platform.
6. The method of claim 1, wherein the releasing at least one target channel as a channel to be distributed from a plurality of target channels corresponding to the platform to be released comprises:
extracting a resource release ratio from a preset ratio library, determining a plurality of target channels corresponding to the platform to be released as a plurality of channels to be released, and inquiring the resource occupation ratio corresponding to the channels to be released;
extracting a first appointed channel with a resource ratio smaller than other resource ratios from the channels to be released, and comparing the resource ratio corresponding to the first appointed channel with the resource release ratio;
if the resource proportion of the first appointed channel is smaller than the resource release proportion, extracting a second appointed channel of which the resource proportion is smaller than other resource proportions from the plurality of channels to be released after extraction;
calculating a sum of the resource proportion corresponding to the first specified channel and the resource proportion corresponding to the second specified channel, and comparing the sum with the resource release proportion;
if the sum value is smaller than the resource release proportion, continuing to extract a third appointed channel from the plurality of channels to be released which are remained after extraction until the sum value of a plurality of resource proportions corresponding to at least one extracted appointed channel is equal to the resource release proportion, wherein the appointed channels comprise the first appointed channel, the second appointed channel and the third appointed channel;
and taking the extracted at least one appointed channel as the channel to be distributed.
7. The method of claim 1, wherein the designated platform comprises a first platform and a second platform, and wherein the allocating the all channels to be allocated to the designated platform comprises
Extracting a second distribution proportion used for indicating the distribution proportion of a channel pool from a preset proportion library, and reading resource proportions corresponding to all channels to be distributed stored in the channel pool to obtain a plurality of resource proportions;
extracting a first channel with a resource ratio larger than that of other channels from all channels to be distributed, and distributing the first channel to the first platform, wherein the first platform is used for indicating a target platform with a target ranking larger than a preset ranking;
continuing to extract a second channel with the resource ratio larger than that of other channels in the remaining channels to be allocated after extraction, and allocating the second channel to the first platform until the sum of the resource ratios of the remaining channels to be allocated is equal to the second allocation ratio;
calculating the appointed resource proportion corresponding to each appointed sub-platform at present, and comparing the appointed resource proportion with the first distribution proportion corresponding to the appointed sub-platform;
if the comparison result indicates that the designated resource proportion is smaller than the first allocation proportion, extracting the designated sub-platform as the second platform;
and calculating a deviation ratio corresponding to the second platform, continuously extracting at least one channel to be distributed with a resource ratio sum value equal to the deviation ratio from the channel pool, and distributing the at least one channel to be distributed to the second platform.
8. A resource allocation apparatus, comprising:
a first allocation module, configured to allocate, for each of a plurality of target platforms, a plurality of target channels to the target platform based on a first allocation proportion indicated by the target platform, where the first allocation proportion is used to indicate an initial proportion of resource channels allocated to the target platform;
the calculation module is used for receiving the operation information uploaded by the target platform and calculating a target score and a target rank corresponding to the target platform according to the operation information;
the extraction module is used for extracting the target platform as a platform to be released, releasing at least one target channel from a plurality of target channels corresponding to the platform to be released as a channel to be distributed and storing the channel to be distributed to a channel pool if the target score is lower than a score threshold and the target rank is lower than a ranking threshold;
the storage module is used for traversing the target platforms, extracting a plurality of platforms to be released for resource channel release, and storing the released channels to be distributed to the channel pool;
and the second distribution module is used for counting all channels to be distributed stored in the channel pool and distributing all the channels to be distributed to a specified platform, and the specified platform is used for indicating other target platforms except the platform to be released.
9. A computer device comprising a memory and a processor, the memory storing a computer program, wherein the processor implements the steps of the method of any one of claims 1 to 7 when executing the computer program.
10. A computer-readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the method of any one of claims 1 to 7.
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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN115442444A (en) * 2022-11-04 2022-12-06 山东紫菜云数字科技有限公司 Resource balance self-adaptive scheduling method applied to many-to-many matching platform

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