PREDICTING WORKER INSTANCE COUNT FOR CLOUD-BASED COMPUTING PLATFORMS
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United States of America
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Issued Date -
Feb 6, 2025
app pub date -
Aug 4, 2023
filing date -
Aug 4, 2023
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Described are examples for recommending increase in worker instance count for an availability zone in a cloud-based computing platform. A machine learning (ML) model can be used to predict a time series forecast of a workload for the availability zone in a future time period. A predicted number of worker instances to handle the predicted workload can be computed, and if the number of worker instances in the availability zone is less than the predicted number of worker instances, a recommendation to increase the number of worker instances in the availability zone can be generated.
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