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公开(公告)号:US11843525B2
公开(公告)日:2023-12-12
申请号:US16688456
申请日:2019-11-19
Applicant: VMware, Inc.
IPC: H04L41/5054 , G06F9/50 , G06F11/30
CPC classification number: H04L41/5054 , G06F9/505 , G06F9/5044 , G06F11/301
Abstract: A feature capacity scaling methodology is disclosed. In a computer-implemented method, components of a computing environment are automatically monitored, and have a feature capacity analysis using a forecast performed thereon. Provided the feature capacity analysis determines that features of the components are well utilized, a vertical scaling of the features is performed.
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公开(公告)号:US10956230B2
公开(公告)日:2021-03-23
申请号:US16147974
申请日:2018-10-01
Applicant: VMware, Inc.
Inventor: Parikshit Santhana Gopalan Gopalan , Sandy Lau , Wei Li , Leah Nutman , Paul Pedersen , Yu Sun
Abstract: Various examples are disclosed for workload placement using forecast data. Forecast data for workloads and providers during a predefined period of time in the future is considered when identifying stressed providers and the feasibility of a workload move. Workloads with demand spikes at different future times can be matched by stacking current demand and forecast demand by timestamps. The possibility of stress can be reduced by making moves preemptively and considering forecast demand when evaluating the feasibility of a workload move.
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公开(公告)号:US20210149785A1
公开(公告)日:2021-05-20
申请号:US16688456
申请日:2019-11-19
Applicant: VMware, Inc.
Abstract: A feature capacity scaling methodology is disclosed. In a computer-implemented method, components of a computing environment are automatically monitored, and have a feature capacity analysis using a forecast performed thereon. Provided the feature capacity analysis determines that features of the components are well utilized, a vertical scaling of the features is performed.
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