Invention Grant
- Patent Title: Predicting a likelihood of a critical storage problem
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Application No.: US15074133Application Date: 2016-03-18
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Publication No.: US10169132B2Publication Date: 2019-01-01
- Inventor: Bertus Eggen , John F. Hollingsworth , Baiju D. Mandalia
- 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: Schmeiser, Olsen & Watts, LLP
- Agent Michael Petrocelli
- Main IPC: G06F11/07
- IPC: G06F11/07

Abstract:
A method and associated systems for a resource-utilization monitor with self-adjusting sample size. A processor monitors availability of a resource-limited entity by analyzing a set of samples that each identify, at the time the sample was recorded, an unused amount of resource available to the entity. The processor computes a Chi-square statistic of the sample set. If the statistic reveals that the number of samples in the sample set is too small to produce valid results, the processor adjusts the sample size to specify a larger number of samples and repeats these steps. If the number of samples is large enough to produce statistically valid results, the processor analyzes the sample set to determine whether the current amount of remaining resource is undesirably low, is likely to become undesirably low during a short-term period of time, or is likely to become undesirably low during a longer-term period of time.
Public/Granted literature
- US20160203038A1 PREDICTING A LIKELIHOOD OF A CRITICAL STORAGE PROBLEM Public/Granted day:2016-07-14
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