Invention Grant
- Patent Title: Seasonal trending, forecasting, anomaly detection, and endpoint prediction of thread intensity statistics
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Application No.: US14705304Application Date: 2015-05-06
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Publication No.: US10333798B2Publication Date: 2019-06-25
- Inventor: Eric S. Chan , Rafiul Ahad , Adel Ghoneimy , Adriano Covello Santos
- Applicant: Oracle International Corporation
- Applicant Address: US CA Redwood Shores
- Assignee: Oracle International Corporation
- Current Assignee: Oracle International Corporation
- Current Assignee Address: US CA Redwood Shores
- Agency: Kilpatrick Townsend & Stockton, LLP
- Main IPC: G06F11/00
- IPC: G06F11/00 ; H04L12/24 ; G06F16/21 ; G06F16/22 ; G06F16/28 ; G06F16/182 ; G06F9/48 ; G06F11/07 ; G06F11/34 ; G06F11/30 ; G06F9/455

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.
Public/Granted literature
- US20150234869A1 SEASONAL TRENDING, FORECASTING, ANOMALY DETECTION, AND ENDPOINT PREDICTION OF JAVA HEAP USAGE Public/Granted day:2015-08-20
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