Invention Grant
- Patent Title: Workload tenure prediction for capacity planning
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Application No.: US16444190Application Date: 2019-06-18
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Publication No.: US11562299B2Publication Date: 2023-01-24
- Inventor: Chandrashekhar Jha , Ritesh Jha , Yash Bhatnagar , Rajat Garg , Rachil Chandran
- Applicant: VMware, Inc.
- Applicant Address: US CA Palo Alto
- Assignee: VMware, Inc.
- Current Assignee: VMware, Inc.
- Current Assignee Address: US CA Palo Alto
- Agency: Thomas Horstemeyer, LLP
- Main IPC: G06F15/16
- IPC: G06F15/16 ; G06N20/10 ; G06F9/455

Abstract:
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.
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