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Service optimization scheduling method and device, equipment and storage medium

A technology for optimizing scheduling and serving parties, applied in the field of service scheduling, can solve problems such as not considering the service quality and service capabilities of service providers, affecting user service experience, and failing to ensure service quality and service capabilities, so as to ensure continuity and improve user Experience and improve the effect of user service experience

Pending Publication Date: 2022-01-25
TAIKANG LIFE INSURANCE CO LTD +1
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Problems solved by technology

[0008] This article is used to solve the problem that the service scheduling method in the prior art does not consider the service quality and service capability of each service provider, and there are problems that the service quality and service capability cannot be guaranteed. After the service optimization is updated, it is impossible to accurately judge whether the optimized service is effective, which has an impact Problems with user service experience

Method used

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  • Service optimization scheduling method and device, equipment and storage medium
  • Service optimization scheduling method and device, equipment and storage medium
  • Service optimization scheduling method and device, equipment and storage medium

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other Embodiment approach

[0117] In other implementations, when step 320 is implemented, user service requests can also be allocated cyclically according to the current weight order of each service provider, each time a user service request is allocated, and when the number of user service requests to be processed by the service provider reaches the upper limit, Requests are no longer assigned to this servant.

[0118] In step 330, the server weight ratio is calculated by the following formula:

[0119]

[0120] Among them, A i is the weight ratio of server i, Q i is the current weight of server i, Q j is the current weight of server j, and n is the number of selected servers.

[0121] The server weight ratio indicates the probability of the server being called, the higher the ratio, the greater the probability of being called.

[0122] During specific implementation, in addition to performing specific allocation according to the logic of step 320 and step 330, other scheduling logics may also b...

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Abstract

The invention provides a service optimization scheduling method and device, equipment and a storage medium. The method comprises the following steps: distributing a user service request to a corresponding service party according to the current weight of each service party, and enabling the service party to respond to the user service request, enabling the service party of which the current weight is smaller than a preset weight to run an original service model, and enabling the other service parties to run an optimization service model; according to the accumulated single service evaluation value of each service party, the continuous service evaluation value of each service party and the continuous non-response value of each service party, calculating a new weight of each service party, and updating a current weight of each service party by using the new weight of each service party; and according to the weight change information of the service party running the optimization service model, adjusting the service model running in the service party. The response speed and accuracy of the user service request can be improved, the optimization of the service model can be completed in time, and the user experience is improved.

Description

technical field [0001] This article relates to the field of service scheduling, in particular to a service optimization scheduling method, device, equipment and storage medium. Background technique [0002] The service processing system in the prior art includes a scheduling device and multiple service parties. The scheduling device receives user service requests and distributes user service requests to the service parties. The existing service scheduling methods include the following: [0003] 1. Random scheduling: random scheduling of user service requests to any service party; [0004] 2. Scheduling according to the existing load of the server: that is, scheduling is performed according to the existing usage of the server, and the server with a small current service volume will be prioritized for scheduling; [0005] 3. Scheduling according to the attribute of the service request source: that is, scheduling according to a certain attribute of the user service request, su...

Claims

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Application Information

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IPC IPC(8): G06F9/48G06F9/50
CPCG06F9/4806G06F9/4843G06F9/5038
Inventor 黄海
Owner TAIKANG LIFE INSURANCE CO LTD
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