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Cognitive detection of cloud service forecast

An activity, duration technique, applied in the field of cognitive detection of cloud service forecasting, which can solve problems such as cost estimation/planning service consumption

Pending Publication Date: 2020-09-29
INT BUSINESS MASCH CORP
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Organizations often incur unexpected charges and gaps in estimated / planned service consumption

Method used

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  • Cognitive detection of cloud service forecast
  • Cognitive detection of cloud service forecast
  • Cognitive detection of cloud service forecast

Examples

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Embodiment Construction

[0014] The terminology used herein is for describing particular embodiments only and is not intended to limit the present disclosure. As used herein, the singular forms "a", "an" and "the" are intended to include the plural forms as well, unless the context clearly dictates otherwise. It will also be understood that when the terms "comprises" and / or "comprises" are used in this specification, they specify the presence of stated features, integers, steps, operations, elements, and / or components, but do not exclude the presence of one or more other Presence or addition of features, integers, steps, operations, elements, components and / or groups thereof.

[0015] The corresponding structures, materials, acts, and equivalents of all means or step plus function elements in the claims below are intended to include any structure, material, or act for performing the function in combination with other claimed elements as specifically claimed. The description of the present disclosure ...

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Abstract

The invention relates to cognitive detection of cloud service prediction. An approach is provided in which an information handling system uses historical time durations of deprecated resources to compute an increased probability window. The increased probability window corresponds to an increase in probability that a currently active resource is likely to be active at a future point in time. Next,the information handling system identifies a set of active resources that have active time durations within the increased probability window and, then marks the set of resources as a set of forecasted active resources. Then, the information handling system generates a resource cost forecast based on the set of forecasted active resources.

Description

Background technique [0001] Cloud computing providers provide various services according to different models, such as Infrastructure as a Service (Infrastructure as a Service, IaaS), Platform as a Service (Platform as a Service, PaaS) and Software as a Service (Software as a Service, SaaS) . These models provide increased abstraction and are often described as layers in a stack, with IaaS being the bottom layer, PaaS being the middle layer, and SaaS being the top layer. These models can also be used independently of each other. [0002] A cloud environment may include software at all three tiers (IaaS, PaaS, and SaaS), include information associated with a public cloud provider account, and / or include an entire "rack" or data center in an internal private cloud. The way a cloud environment operates is typically governed by multiple sets of configurable parameters, which typically include hardware selection (CPU, disks, NICs, storage, routers / switches, etc.), firmware level s...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F9/50
CPCG06F9/5061G06F2209/5021G06F2209/5019G06N20/00G06N3/084G06Q10/0631G06Q30/0283G06N5/043G06F16/906G06F9/5027
Inventor A.塔格拉H.纳亚克
Owner INT BUSINESS MASCH CORP
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