Patent ID: 11928715
Assignee: BESPIN GLOBAL INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 3:
4. A system for purchasing a reserved instance from a reserved instance providing system and reselling the reserved instance to a client, the system comprising:
a processor; and
a memory configured to store program instructions,
wherein the program instructions, when executed by the processor, implements:
a learning module configured to generate a machine learning model by analyzing data;
an instance usage prediction module configured to predict instance usage of a client using the machine learning model pre-trained through the learning module in relation to the instance usage of the client who is to sell a reserved instance;
a reserved instance purchase quantity determination module configured to determine a reserved instance purchase quantity based on the instance usage;
a reserved instance purchase module configured to purchase the reserved instance based on the reserved instance purchase quantity; and
an instance reselling module configured to resell the purchased reserved instance to the client,

wherein the instance usage prediction module comprises:
an error analysis module configured to calculate weight for a plurality of machine learning models by analyzing predicted errors of the plurality of machine learning models; and

an instance usage estimation module configured to estimate the instance usage of the client by adjusting a reflection ratio of each of the machine learning models for the instance usage based on the weight for the machine learning models,
wherein the error analysis module is configured to analyze a predicted error of at least one of the machine learning models comprising a GLR model, an MSR model, an LSTM model, and an MR model generated by the learning module, and
wherein the instance usage prediction module comprises:
a first instance usage prediction module configured to output first instance usage by predicting the instance usage based on the GLR model;
a second instance usage prediction module configured to output second instance usage by predicting the instance usage based on the MSR model;
a third instance usage prediction module configured to output third instance usage by predicting the instance usage based on the LSTM model; and
a fourth instance usage prediction module configured to output fourth instance usage by predicting the instance usage based on the MR model.