Invention Grant
- Patent Title: Adjusting cloud resource allocation
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Application No.: US15815306Application Date: 2017-11-16
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Publication No.: US10129174B2Publication Date: 2018-11-13
- Inventor: Aaron K. Baughman , Brian M. O'Connell , Stefan Van Der Stockt
- Applicant: International Business Machines Corporation
- Applicant Address: US NY Armonk
- Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
- Current Assignee Address: US NY Armonk
- Agency: Garg Law Firm, PLLC
- Agent Christopher K. McLane
- Main IPC: H04L12/911
- IPC: H04L12/911

Abstract:
In a multi-tiered simulation configuration, a combination of predictive models is executed such that each tier in the multi-tiered simulation configuration executes at least one predictive model to produce a corresponding set of predicted events, and a predicted event from a first tier in the configuration forms an input to a next tier in the configuration. Using a subset of a selected set of predicted events outputted from a corresponding selected tier in the multi-tiered simulation configuration, a set of features is extracted, each feature in the set of features having an effect on an outcome of the simulated process. The set of features is used in a demand level prediction model to predict a threshold demand, wherein reaching the threshold demand in an actual utilization of a computing resource is indicative of a likelihood of an unforeseen rise in a demand for the computing resource after a period.
Public/Granted literature
- US20180077083A1 ADJUSTING CLOUD RESOURCE ALLOCATION Public/Granted day:2018-03-15
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