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AssigneeVMware, Inc.
InventorsChandrashekhar Jha, Ritesh Jha, Yash Bhatnagar, Rajat Garg, Rachil Chandran
Estimating the term…
Disclosed are various embodiments for automating the prediction of workload tenures in datacenter environments. In some embodiments, parameters are identified for a plurality of workloads of a software defined data center. A machine learning model is trained to determine a predicted tenure based on parameters of the workloads. A workload for the software defined data center is configured to include at least one workload parameter. The workload is processed using the trained machine learning model to determine the predicted tenure. An input to the machine learning model includes the at least one workload parameter.
A system comprising:
A method comprising:
A non-transitory computer-readable medium comprising machine readable instructions, wherein the instructions, when executed by at least one processor, cause at least one computing device to at least:
Dependencies are inferred from the claim text.