Title:
Ｊａｖａヒープ使用量の季節的傾向把握、予想、異常検出、エンドポイント予測
Document Type and Number:
Japanese Patent JP6457489
Kind Code:
B2
Abstract:
Data can be categorized into facts, information, hypothesis, and directives. Activities that generate certain categories of data based on other categories of data through the application of knowledge which can be categorized into classifications, assessments, resolutions, and enactments. Activities can be driven by a Classification-Assessment-Resolution-Enactment (CARE) control engine. The CARE control and these categorizations can be used to enhance a multitude of systems, for example diagnostic system, such as through historical record keeping, machine learning, and automation. Such a diagnostic system can include a system that forecasts computing system failures based on the application of knowledge to system vital signs such as thread or stack segment intensity and memory heap usage. These vital signs are facts that can be classified to produce information such as memory leaks, convoy effects, or other problems. Classification can involve the automatic generation of classes, states, observations, predictions, norms, objectives, and the processing of sample intervals having irregular durations.
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Inventors:
Chan, Eric S
Rahul, Ahad
Goney, Adele
Adriano Cobello, Santos
Rahul, Ahad
Goney, Adele
Adriano Cobello, Santos
Application Number:
JP2016507618A
Publication Date:
January 23, 2019
Filing Date:
April 08, 2014
Export Citation:
Assignee:
Oracle International Corporation
International Classes:
G06F11/30; G06F11/34
Domestic Patent References:
| JP2011192097A | ||||
| JP2010198579A | ||||
| JP2011154483A |
Attorney, Agent or Firm:
Fukami patent office