HK1253361A1 - 用於異常根本原因分析的系統和方法 - Google Patents
用於異常根本原因分析的系統和方法Info
- Publication number
- HK1253361A1 HK1253361A1 HK18112656.0A HK18112656A HK1253361A1 HK 1253361 A1 HK1253361 A1 HK 1253361A1 HK 18112656 A HK18112656 A HK 18112656A HK 1253361 A1 HK1253361 A1 HK 1253361A1
- Authority
- HK
- Hong Kong
- Prior art keywords
- root cause
- cause analysis
- anomaly root
- anomaly
- analysis
- Prior art date
Links
Classifications
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- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/21—Design or setup of recognition systems or techniques; Extraction of features in feature space; Blind source separation
- G06F18/213—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods
- G06F18/2135—Feature extraction, e.g. by transforming the feature space; Summarisation; Mappings, e.g. subspace methods based on approximation criteria, e.g. principal component analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/22—Matching criteria, e.g. proximity measures
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/23—Clustering techniques
- G06F18/231—Hierarchical techniques, i.e. dividing or merging pattern sets so as to obtain a dendrogram
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F18/00—Pattern recognition
- G06F18/20—Analysing
- G06F18/24—Classification techniques
- G06F18/243—Classification techniques relating to the number of classes
- G06F18/2433—Single-class perspective, e.g. one-against-all classification; Novelty detection; Outlier detection
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/06—Management of faults, events, alarms or notifications
- H04L41/0631—Management of faults, events, alarms or notifications using root cause analysis; using analysis of correlation between notifications, alarms or events based on decision criteria, e.g. hierarchy, tree or time analysis
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L41/00—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks
- H04L41/16—Arrangements for maintenance, administration or management of data switching networks, e.g. of packet switching networks using machine learning or artificial intelligence
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/04—Processing captured monitoring data, e.g. for logfile generation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04L—TRANSMISSION OF DIGITAL INFORMATION, e.g. TELEGRAPHIC COMMUNICATION
- H04L43/00—Arrangements for monitoring or testing data switching networks
- H04L43/08—Monitoring or testing based on specific metrics, e.g. QoS, energy consumption or environmental parameters
- H04L43/0876—Network utilisation, e.g. volume of load or congestion level
- H04L43/0888—Throughput
Landscapes
- Engineering & Computer Science (AREA)
- Data Mining & Analysis (AREA)
- Theoretical Computer Science (AREA)
- Computer Vision & Pattern Recognition (AREA)
- Artificial Intelligence (AREA)
- Evolutionary Computation (AREA)
- Computer Networks & Wireless Communication (AREA)
- Signal Processing (AREA)
- General Engineering & Computer Science (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- Bioinformatics & Cheminformatics (AREA)
- Bioinformatics & Computational Biology (AREA)
- Evolutionary Biology (AREA)
- Environmental & Geological Engineering (AREA)
- Software Systems (AREA)
- Databases & Information Systems (AREA)
- Medical Informatics (AREA)
- Data Exchanges In Wide-Area Networks (AREA)
- Testing And Monitoring For Control Systems (AREA)
- Information Retrieval, Db Structures And Fs Structures Therefor (AREA)
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
US14/879,778 US10193780B2 (en) | 2015-10-09 | 2015-10-09 | System and method for anomaly root cause analysis |
Publications (1)
Publication Number | Publication Date |
---|---|
HK1253361A1 true HK1253361A1 (zh) | 2019-06-14 |
Family
ID=58488303
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
HK18112656.0A HK1253361A1 (zh) | 2015-10-09 | 2018-10-03 | 用於異常根本原因分析的系統和方法 |
Country Status (4)
Country | Link |
---|---|
US (1) | US10193780B2 (zh) |
CN (1) | CN108475250B (zh) |
HK (1) | HK1253361A1 (zh) |
WO (1) | WO2017059807A1 (zh) |
Families Citing this family (18)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
GB2560643B (en) * | 2015-09-30 | 2021-07-21 | Schlumberger Technology Bv | Downhole tool analysis using anomaly detection of measurement data |
US10223191B2 (en) * | 2016-07-20 | 2019-03-05 | International Business Machines Corporation | Anomaly detection in performance management |
WO2018110259A1 (ja) * | 2016-12-14 | 2018-06-21 | オムロン株式会社 | 制御装置、制御プログラムおよび制御方法 |
JP6919186B2 (ja) | 2016-12-14 | 2021-08-18 | オムロン株式会社 | 制御システム、制御プログラムおよび制御方法 |
US11157657B2 (en) * | 2016-12-22 | 2021-10-26 | Liveramp, Inc. | Mixed data fingerprinting with principal components analysis |
US10733294B2 (en) * | 2017-09-11 | 2020-08-04 | Intel Corporation | Adversarial attack prevention and malware detection system |
US10884805B2 (en) * | 2018-02-15 | 2021-01-05 | Amazon Technologies, Inc. | Dynamically configurable operation information collection |
CN113946461A (zh) * | 2018-06-15 | 2022-01-18 | 华为技术有限公司 | 一种故障根因分析的方法及装置 |
US11374950B2 (en) | 2018-06-29 | 2022-06-28 | The Mitre Corporation | Anomaly detection in complex systems |
US11188865B2 (en) * | 2018-07-13 | 2021-11-30 | Dimensional Insight Incorporated | Assisted analytics |
US10769006B2 (en) * | 2018-07-31 | 2020-09-08 | Cisco Technology, Inc. | Ensemble risk assessment method for networked devices |
US10574512B1 (en) | 2018-09-04 | 2020-02-25 | Cisco Technology, Inc. | Deep learning architecture for collaborative anomaly detection and explanation |
US11979754B2 (en) | 2018-12-22 | 2024-05-07 | Nokia Solutions And Networks Oy | Connection behavior identification for wireless networks |
CN109871886B (zh) * | 2019-01-28 | 2023-08-01 | 平安科技(深圳)有限公司 | 基于谱聚类的异常点比例优化方法、装置及计算机设备 |
CN112511372B (zh) * | 2020-11-06 | 2022-03-01 | 新华三技术有限公司 | 一种异常检测方法、装置及设备 |
CN113705981B (zh) * | 2021-08-03 | 2022-08-30 | 北京鼎信泰德科技有限公司 | 一种基于大数据的异常监测的方法及装置 |
CN114629802B (zh) * | 2021-11-04 | 2023-12-08 | 国网浙江省电力有限公司湖州供电公司 | 一种基于业务感知的电力通信骨干网络质量评估方法 |
CN117596126B (zh) * | 2024-01-19 | 2024-03-26 | 合肥先进计算中心运营管理有限公司 | 一种针对高性能集群中高速网络异常的监控方法 |
Family Cites Families (10)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CA2313908A1 (en) * | 2000-07-14 | 2002-01-14 | David B. Skillicorn | Intrusion detection in networks using singular value decomposition |
US20070028219A1 (en) | 2004-10-15 | 2007-02-01 | Miller William L | Method and system for anomaly detection |
US8869276B2 (en) | 2005-06-29 | 2014-10-21 | Trustees Of Boston University | Method and apparatus for whole-network anomaly diagnosis and method to detect and classify network anomalies using traffic feature distributions |
JP5301310B2 (ja) | 2009-02-17 | 2013-09-25 | 株式会社日立製作所 | 異常検知方法及び異常検知システム |
WO2011094484A1 (en) * | 2010-01-28 | 2011-08-04 | Drexel University | Detection, diagnosis, and mitigation of software faults |
JP5301717B1 (ja) | 2012-08-01 | 2013-09-25 | 株式会社日立パワーソリューションズ | 設備状態監視方法およびその装置 |
CN103345593B (zh) * | 2013-07-31 | 2016-04-27 | 哈尔滨工业大学 | 面向传感器单数据流的聚集异常检测方法 |
WO2015057119A1 (en) * | 2013-10-18 | 2015-04-23 | Telefonaktiebolaget L M Ericsson (Publ) | Alarm prediction in a telecommunication network |
EP3192296B1 (en) * | 2014-09-08 | 2021-04-07 | Nokia Solutions and Networks Oy | Scoring method and system for robust verification of configuration actions |
WO2016095943A1 (en) * | 2014-12-15 | 2016-06-23 | Nokia Solutions And Networks Oy | Measurement coordination in communications |
-
2015
- 2015-10-09 US US14/879,778 patent/US10193780B2/en active Active
-
2016
- 2016-10-08 WO PCT/CN2016/101506 patent/WO2017059807A1/en active Application Filing
- 2016-10-08 CN CN201680059140.3A patent/CN108475250B/zh active Active
-
2018
- 2018-10-03 HK HK18112656.0A patent/HK1253361A1/zh unknown
Also Published As
Publication number | Publication date |
---|---|
WO2017059807A1 (en) | 2017-04-13 |
CN108475250A (zh) | 2018-08-31 |
US20170104657A1 (en) | 2017-04-13 |
CN108475250B (zh) | 2021-09-07 |
US10193780B2 (en) | 2019-01-29 |
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