Veasey et al., 2014 - Google Patents
Anomaly detection in application performance monitoring dataVeasey et al., 2014
View PDF- Document ID
- 8149565945286664328
- Author
- Veasey T
- Dodson S
- Publication year
- Publication venue
- International Journal of Machine Learning and Computing
External Links
Snippet
Performance issues and outages in IT systems have significant impact on business. Traditional methods for identifying these issues based on rules and simple statistics have become ineffective due to the complexity of the underlying systems, the volume and variety …
- 238000001514 detection method 0 title description 20
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL 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
- G06F11/3466—Performance evaluation by tracing or monitoring
- G06F11/3495—Performance evaluation by tracing or monitoring for systems
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL 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; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/30—Monitoring
- G06F11/3065—Monitoring arrangements determined by the means or processing involved in reporting the monitored data
- G06F11/3072—Monitoring arrangements determined by the means or processing involved in reporting the monitored data where the reporting involves data filtering, e.g. pattern matching, time or event triggered, adaptive or policy-based reporting
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F2201/00—Indexing scheme relating to error detection, to error correction, and to monitoring
- G06F2201/86—Event-based monitoring
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06Q—DATA PROCESSING SYSTEMS OR METHODS, SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL, SUPERVISORY OR FORECASTING PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management, e.g. organising, planning, scheduling or allocating time, human or machine resources; Enterprise planning; Organisational models
- G06Q10/063—Operations research or analysis
- G06Q10/0639—Performance analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F11/00—Error detection; Error correction; Monitoring
- G06F11/07—Error detection; Error correction; Monitoring responding to the occurence of a fault, e.g. fault tolerance
- G06F11/0703—Error or fault processing not based on redundancy, i.e. by taking additional measures to deal with the error or fault not making use of redundancy in operation, in hardware, or in data representation
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/18—Complex mathematical operations for evaluating statistical data, e.g. average values, frequency distributions, probability functions, regression analysis
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING; COUNTING
- G06F—ELECTRICAL DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/30—Information retrieval; Database structures therefor; File system structures therefor
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Veasey et al. | Anomaly detection in application performance monitoring data | |
Liu et al. | Microhecl: High-efficient root cause localization in large-scale microservice systems | |
US10692255B2 (en) | Method for creating period profile for time-series data with recurrent patterns | |
Vilalta et al. | Predictive algorithms in the management of computer systems | |
US8463899B2 (en) | System, method and computer program product for optimized root cause analysis | |
US8635498B2 (en) | Performance analysis of applications | |
Gu et al. | Online anomaly prediction for robust cluster systems | |
Salfner et al. | A survey of online failure prediction methods | |
US7493236B1 (en) | Method for reporting the status of a control application in an automated manufacturing environment | |
US8255522B2 (en) | Event detection from attributes read by entities | |
CN110708204A (en) | Abnormity processing method, system, terminal and medium based on operation and maintenance knowledge base | |
US20160217378A1 (en) | Identifying anomalous behavior of a monitored entity | |
Christodoulou et al. | Waterloss detection in water distribution networks using wavelet change-point detection | |
US20220107858A1 (en) | Methods and systems for multi-resource outage detection for a system of networked computing devices and root cause identification | |
Gao et al. | Modeling probabilistic measurement correlations for problem determination in large-scale distributed systems | |
Cai et al. | A real-time trace-level root-cause diagnosis system in alibaba datacenters | |
US20080071807A1 (en) | Methods and systems for enterprise performance management | |
CN114365094A (en) | Timing anomaly detection using inverted indices | |
Roschke et al. | A flexible and efficient alert correlation platform for distributed ids | |
Dai et al. | Distance-based outliers method for detecting disease outbreaks using social media | |
Song et al. | Availability modeling and analysis on high performance cluster computing systems | |
Gu et al. | Performance Issue Identification in Cloud Systems with Relational-Temporal Anomaly Detection | |
Xue et al. | Fill-in the gaps: Spatial-temporal models for missing data | |
Ding et al. | A data analytic engine towards self-management of cyber-physical systems | |
Huang et al. | Achieving scalable automated diagnosis of distributed systems performance problems |