Invention Grant
- Patent Title: Resource allocation in a cloud computing system based on predictions of workload probability parameters
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Application No.: US17352634Application Date: 2021-06-21
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Publication No.: US12106147B2Publication Date: 2024-10-01
- Inventor: Jing Guo , Zhou Yang , Ming Yan , Gaozhi Wang , Shifan Cheng , Zhaoxing Zeng , Jingtao Li
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Sterne, Kessler, Goldstein & Fox P.L.L.C.
- Main IPC: G06F9/46
- IPC: G06F9/46 ; G06F9/50 ; G06N3/08 ; G06N7/01

Abstract:
Disclosed herein are system, method, and computer program product embodiments for allocating resources based on predictions of workload probability parameters. The method can include collecting a first set of historical workload data generated by operating a first set of one or more applications at a first number of past time instances; predicting probability parameters of a second set of future workload data for operating a second set of one or more applications at a second number of future time instances; and determining future resources allocated to operating the second set of one or more applications for the second number of future time instances, based on allocated current resources, a lower bound of resources to satisfy a quality of service (QoS) for operating the second set of one or more applications, an upper bound of resources to satisfy the QoS, and the predicted probability parameters.
Public/Granted literature
- US20220405134A1 Resource Allocation in a Cloud Computing System Based on Predictions of Workload Probability Parameters Public/Granted day:2022-12-22
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