- Patent Title: Coordinated predictive autoscaling of virtualized resource groups
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Application No.: US16362545Application Date: 2019-03-22
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Publication No.: US11249810B2Publication Date: 2022-02-15
- Inventor: Jacob Adam Gabrielson , Joshua M. Burgin , Brad Bonnett , Kai Fan Tang
- Applicant: Amazon Technologies, Inc.
- Applicant Address: US WA Seattle
- Assignee: Amazon Technologies, Inc.
- Current Assignee: Amazon Technologies, Inc.
- Current Assignee Address: US WA Seattle
- Agency: Nicholson De Vos Webster & Elliott LLP
- Main IPC: G06F9/50
- IPC: G06F9/50 ; G06N3/08 ; G06F9/48

Abstract:
Techniques are described for optimizing the allocation of computing resources provided by a service provider network—for example, compute resources such as virtual machine (VM) instances, containers, standalone servers, and possibly other types of computing resources—among computing workloads associated with a user or group of users of the service provider network. A service provider network provides various tools and interfaces to help businesses and other organizations optimize the utilization of computing resource pools obtained by the organizations from the service provider network, including the ability to efficiently schedule use of the resources among workloads having varying resource demands, usage patterns, relative priorities, execution deadlines, or combinations thereof. A service provider network further provides various graphical user interfaces (GUIs) to help users visualize and manage the historical and scheduled uses of computing resources by users' workloads according to user preferences.
Public/Granted literature
- US20200301741A1 COORDINATED PREDICTIVE AUTOSCALING OF VIRTUALIZED RESOURCE GROUPS Public/Granted day:2020-09-24
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