System scheduling method and device
A scheduling method and likelihood technology, applied in data processing applications, trading/rental transactions, instruments, etc., can solve the problems of poor configurability, difficulty in meeting order scheduling requirements, and high development and maintenance costs
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Embodiment approach 1
[0066] figure 1 It is a flow chart of the system scheduling method according to Embodiment 1 of the method of the present invention. see figure 1 , in this embodiment, the method includes:
[0067] S11: Obtain the set of attribute values of the order.
[0068] Exemplarily, the set of attribute values involves multiple attributes, for example including but not limited to: merchant attribute, order category attribute, order amount attribute, delivery pressure attribute, user selection attribute and manual intervention attribute.
[0069] S12: According to the configuration information and the total amount of capacity systems, respectively generate dispatch possibility indices of different capacity systems for the set of attribute values, so as to obtain a dispatch possibility index distribution.
[0070] Wherein, the scheduling possibility index is used to measure or indicate the possibility of the capacity system being scheduled.
[0071] S13: The dispatch capacity syst...
Embodiment approach 2
[0074] figure 2 It is a flow chart of the system scheduling method according to Embodiment 2 of the method of the present invention. see figure 2 , in this embodiment, the method includes:
[0075] S21: Obtain a set of attribute values of the order.
[0076] S22: Determine the likelihoods of the attribute value sets for different capacity systems according to the configuration information, so as to obtain a likelihood distribution.
[0077] Wherein, the likelihood is used for estimating the possibility of properties of related things under the condition of known observation results.
[0078] S23: Calculate the prior scheduling probabilities of different capacity systems according to the total capacity of the capacity systems, so as to obtain the prior scheduling probability distribution.
[0079] Wherein, the prior scheduling probability refers to the probability that the capacity system is scheduled based on subjective inference based on existing knowledge. For examp...
Embodiment approach 3
[0083] image 3 It is a flow chart of the system scheduling method according to Embodiment 3 of the method of the present invention. see image 3 , in this embodiment, the method includes:
[0084] S31: Obtain a set of attribute values of the order.
[0085] S32: Determine the likelihoods of the attribute value sets for different capacity systems according to the configuration information, so as to obtain a likelihood distribution.
[0086] S33: Calculate the prior scheduling probabilities of different capacity systems according to the total capacity of the capacity systems, so as to obtain the prior scheduling probability distribution.
[0087] S34: Based on the likelihood distribution and the prior scheduling probability distribution, respectively calculate products of likelihoods and prior scheduling probabilities under different capacity systems.
[0088] S35: Perform normalization processing on the products of different capacity systems respectively, so as to genera...
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