JP7654005B2 - データセンタのためのパターン認識対応自律的構成最適化 - Google Patents
データセンタのためのパターン認識対応自律的構成最適化 Download PDFInfo
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- JP7654005B2 JP7654005B2 JP2022551347A JP2022551347A JP7654005B2 JP 7654005 B2 JP7654005 B2 JP 7654005B2 JP 2022551347 A JP2022551347 A JP 2022551347A JP 2022551347 A JP2022551347 A JP 2022551347A JP 7654005 B2 JP7654005 B2 JP 7654005B2
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F9/00—Arrangements for program control, e.g. control units
- G06F9/06—Arrangements for program control, e.g. control units using stored programs, i.e. using an internal store of processing equipment to receive or retain programs
- G06F9/46—Multiprogramming arrangements
- G06F9/50—Allocation of resources, e.g. of the central processing unit [CPU]
- G06F9/5094—Allocation of resources, e.g. of the central processing unit [CPU] where the allocation takes into account power or heat criteria
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
- G06F11/3433—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment for load management
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
- G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
- G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
- G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F1/00—Details not covered by groups G06F3/00 - G06F13/00 and G06F21/00
- G06F1/16—Constructional details or arrangements
- G06F1/20—Cooling means
- G06F1/206—Cooling means comprising thermal management
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3003—Monitoring arrangements specially adapted to the computing system or computing system component being monitored
- G06F11/302—Monitoring arrangements specially adapted to the computing system or computing system component being monitored where the computing system component is a software system
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- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3058—Monitoring arrangements for monitoring environmental properties or parameters of the computing system or of the computing system component, e.g. monitoring of power, currents, temperature, humidity, position, vibrations
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3409—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment for performance assessment
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/34—Recording or statistical evaluation of computer activity, e.g. of down time, of input/output operation ; Recording or statistical evaluation of user activity, e.g. usability assessment
- G06F11/3457—Performance evaluation by simulation
-
- G—PHYSICS
- G06—COMPUTING OR CALCULATING; COUNTING
- G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
- G06N20/00—Machine learning
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02D—CLIMATE CHANGE MITIGATION TECHNOLOGIES IN INFORMATION AND COMMUNICATION TECHNOLOGIES [ICT], I.E. INFORMATION AND COMMUNICATION TECHNOLOGIES AIMING AT THE REDUCTION OF THEIR OWN ENERGY USE
- Y02D10/00—Energy efficient computing, e.g. low power processors, power management or thermal management
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- Engineering & Computer Science (AREA)
- Theoretical Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Engineering & Computer Science (AREA)
- General Physics & Mathematics (AREA)
- Software Systems (AREA)
- Artificial Intelligence (AREA)
- Quality & Reliability (AREA)
- Computing Systems (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Evolutionary Computation (AREA)
- Medical Informatics (AREA)
- Computer Hardware Design (AREA)
- Health & Medical Sciences (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Data Mining & Analysis (AREA)
- Human Computer Interaction (AREA)
- Debugging And Monitoring (AREA)
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| JP2025042459A JP2025108431A (ja) | 2020-02-26 | 2025-03-17 | データセンタのためのパターン認識対応自律的構成最適化 |
Applications Claiming Priority (3)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| US16/801,590 | 2020-02-26 | ||
| US16/801,590 US11586522B2 (en) | 2020-02-26 | 2020-02-26 | Pattern-recognition enabled autonomous configuration optimization for data centers |
| PCT/US2021/018750 WO2021173440A1 (en) | 2020-02-26 | 2021-02-19 | Pattern-recognition enabled autonomous configuration optimization for data centers |
Related Child Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025042459A Division JP2025108431A (ja) | 2020-02-26 | 2025-03-17 | データセンタのためのパターン認識対応自律的構成最適化 |
Publications (3)
| Publication Number | Publication Date |
|---|---|
| JP2023516174A JP2023516174A (ja) | 2023-04-18 |
| JP2023516174A5 JP2023516174A5 (https=) | 2023-10-12 |
| JP7654005B2 true JP7654005B2 (ja) | 2025-03-31 |
Family
ID=74870907
Family Applications (2)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2022551347A Active JP7654005B2 (ja) | 2020-02-26 | 2021-02-19 | データセンタのためのパターン認識対応自律的構成最適化 |
| JP2025042459A Pending JP2025108431A (ja) | 2020-02-26 | 2025-03-17 | データセンタのためのパターン認識対応自律的構成最適化 |
Family Applications After (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| JP2025042459A Pending JP2025108431A (ja) | 2020-02-26 | 2025-03-17 | データセンタのためのパターン認識対応自律的構成最適化 |
Country Status (5)
| Country | Link |
|---|---|
| US (2) | US11586522B2 (https=) |
| EP (1) | EP4111309A1 (https=) |
| JP (2) | JP7654005B2 (https=) |
| CN (1) | CN115380275A (https=) |
| WO (1) | WO2021173440A1 (https=) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US11586522B2 (en) * | 2020-02-26 | 2023-02-21 | Oracle International Corporation | Pattern-recognition enabled autonomous configuration optimization for data centers |
| US11941541B2 (en) * | 2020-08-10 | 2024-03-26 | International Business Machines Corporation | Automated machine learning using nearest neighbor recommender systems |
| US12229783B2 (en) * | 2020-10-22 | 2025-02-18 | Microsoft Technology Licensing, Llc | Intelligent self-serve diagnostics |
| EP4141669A1 (en) | 2021-08-31 | 2023-03-01 | Siemens Aktiengesellschaft | Method and system for determining optimal computing configuration for executing computing operation |
| TWI818463B (zh) * | 2022-03-09 | 2023-10-11 | 英業達股份有限公司 | 硬碟效能問題分類模型的建立方法、硬碟效能問題分析方法及硬碟效能問題分類模型建立系統 |
| US12210753B2 (en) * | 2022-09-15 | 2025-01-28 | Innogrit Technologies Co., Ltd. | Systems and methods for power and thermal management in a solid state drive |
Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180058976A1 (en) | 2016-08-26 | 2018-03-01 | Oracle International Corporation | Characterizing the i/o-performance-per-watt of a computing device across a range of vibrational operating environments |
| US20180159727A1 (en) | 2016-12-02 | 2018-06-07 | Microsoft Technology Licensing, Llc | Systems and methods for identifying cloud configurations |
| WO2019126535A1 (en) | 2017-12-21 | 2019-06-27 | The University Of Chicago | Combined learned and dynamic control system |
Family Cites Families (18)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US7644051B1 (en) * | 2006-07-28 | 2010-01-05 | Hewlett-Packard Development Company, L.P. | Management of data centers using a model |
| US8346398B2 (en) * | 2008-08-08 | 2013-01-01 | Siemens Industry, Inc. | Data center thermal performance optimization using distributed cooling systems |
| US9250663B2 (en) * | 2008-09-29 | 2016-02-02 | International Business Machines Corporation | System and method for dynamically modeling data center partitions |
| JP5321195B2 (ja) * | 2009-03-31 | 2013-10-23 | 日本電気株式会社 | 監視制御システム、監視制御方法、監視制御サーバ及び監視制御プログラム |
| US8164434B2 (en) * | 2009-06-16 | 2012-04-24 | Oracle America, Inc. | Cooling-control technique for use in a computer system |
| US8355999B2 (en) * | 2010-04-14 | 2013-01-15 | Oracle America, Inc. | Inference of altitude using pairwise comparison of telemetry/temperature signals using regression analysis |
| US20140029196A1 (en) * | 2011-04-15 | 2014-01-30 | Kevin Smith | System for balanced power and thermal management of mission critical environments |
| US10423436B2 (en) | 2014-12-11 | 2019-09-24 | Vmware Inc. | Energy management of a computing deployment with guaranteed end-to-end performance |
| JP6712274B2 (ja) * | 2014-12-30 | 2020-06-17 | デイル ルフェーヴル, | データセンタ熱除去システムおよび方法 |
| US10936600B2 (en) * | 2015-10-23 | 2021-03-02 | Oracle International Corporation | Sensor time series data: functional segmentation for effective machine learning |
| US10705580B2 (en) * | 2016-08-25 | 2020-07-07 | Oracle International Corporation | Intelligent energy-optimization technique for computer datacenters |
| US10796242B2 (en) * | 2016-08-25 | 2020-10-06 | Oracle International Corporation | Robust training technique to facilitate prognostic pattern recognition for enterprise computer systems |
| US10691491B2 (en) * | 2016-10-19 | 2020-06-23 | Nutanix, Inc. | Adapting a pre-trained distributed resource predictive model to a target distributed computing environment |
| US10178792B2 (en) * | 2017-04-14 | 2019-01-08 | The United States Of America, As Represented By The Secretary Of The Navy | One-person portable command and control data center |
| US11273553B2 (en) * | 2017-06-05 | 2022-03-15 | Autodesk, Inc. | Adapting simulation data to real-world conditions encountered by physical processes |
| US10820452B2 (en) * | 2018-07-05 | 2020-10-27 | Baidu Usa Llc | Control and optimization of indirect evaporative cooling units for data center cooling |
| US10958521B2 (en) * | 2019-07-19 | 2021-03-23 | Oracle International Corporation | Method and apparatus for configuring a cloud storage software appliance |
| US11586522B2 (en) * | 2020-02-26 | 2023-02-21 | Oracle International Corporation | Pattern-recognition enabled autonomous configuration optimization for data centers |
-
2020
- 2020-02-26 US US16/801,590 patent/US11586522B2/en active Active
-
2021
- 2021-02-19 JP JP2022551347A patent/JP7654005B2/ja active Active
- 2021-02-19 EP EP21711433.9A patent/EP4111309A1/en active Pending
- 2021-02-19 CN CN202180025714.6A patent/CN115380275A/zh active Pending
- 2021-02-19 WO PCT/US2021/018750 patent/WO2021173440A1/en not_active Ceased
-
2023
- 2023-02-20 US US18/171,620 patent/US12181998B2/en active Active
-
2025
- 2025-03-17 JP JP2025042459A patent/JP2025108431A/ja active Pending
Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20180058976A1 (en) | 2016-08-26 | 2018-03-01 | Oracle International Corporation | Characterizing the i/o-performance-per-watt of a computing device across a range of vibrational operating environments |
| US20180159727A1 (en) | 2016-12-02 | 2018-06-07 | Microsoft Technology Licensing, Llc | Systems and methods for identifying cloud configurations |
| WO2019126535A1 (en) | 2017-12-21 | 2019-06-27 | The University Of Chicago | Combined learned and dynamic control system |
Also Published As
| Publication number | Publication date |
|---|---|
| WO2021173440A1 (en) | 2021-09-02 |
| JP2023516174A (ja) | 2023-04-18 |
| US12181998B2 (en) | 2024-12-31 |
| US11586522B2 (en) | 2023-02-21 |
| US20210263828A1 (en) | 2021-08-26 |
| JP2025108431A (ja) | 2025-07-23 |
| EP4111309A1 (en) | 2023-01-04 |
| US20230205662A1 (en) | 2023-06-29 |
| CN115380275A (zh) | 2022-11-22 |
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