Invention Grant
- Patent Title: Hypervisor and container placement and cost optimization utilizing machine learning
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Application No.: US16743328Application Date: 2020-01-15
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Publication No.: US11630685B2Publication Date: 2023-04-18
- Inventor: Prabal Mahanta , Nishii Bharill , Swati Verma
- Applicant: SAP SE
- Applicant Address: DE Walldorf
- Assignee: SAP SE
- Current Assignee: SAP SE
- Current Assignee Address: DE Walldorf
- Agency: Buckley, Maschoff & Talwalkar LLC
- Main IPC: G06F9/455
- IPC: G06F9/455 ; G06F9/38 ; G06F16/29 ; G06N20/00

Abstract:
According to some embodiments, an automated provisioning system may receive a customer demand associated with an application to be executed in a cloud-based computing environment. The automated provisioning system may include a process allocator to communicate with Virtual Machine (“VM”) and container provisioners and determine cluster data. A machine learning based microservice setup platform, coupled to the automated provisioning system, may receive the cluster data and information about the customer demand. The machine learning based microservice setup platform may then execute policy rules based on the cluster data (and information about the customer demand) and generate a recommendation for the customer demand. The automated provisioning system may then assign the customer demand to one of a VM-based infrastructure and a container-based infrastructure in accordance with the recommendation generated by the machine learning based microservice setup platform.
Public/Granted literature
- US20210216346A1 HYPERVISOR AND CONTAINER PLACEMENT AND COST OPTIMIZATION UTILIZING MACHINE LEARNING Public/Granted day:2021-07-15
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