Cargando…
A Framework for Detecting System Performance Anomalies Using Tracing Data Analysis
Advances in technology and computing power have led to the emergence of complex and large-scale software architectures in recent years. However, they are prone to performance anomalies due to various reasons, including software bugs, hardware failures, and resource contentions. Performance metrics r...
Autores principales: | Kohyarnejadfard, Iman, Aloise, Daniel, Dagenais, Michel R., Shakeri, Mahsa |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2021
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8392060/ https://www.ncbi.nlm.nih.gov/pubmed/34441151 http://dx.doi.org/10.3390/e23081011 |
Ejemplares similares
-
Anomaly detection in microservice environments using distributed tracing data analysis and NLP
por: Kohyarnejadfard, Iman, et al.
Publicado: (2022) -
Explainable Anomaly Detection Framework for Maritime Main Engine Sensor Data
por: Kim, Donghyun, et al.
Publicado: (2021) -
Distributed Architecture for an Integrated Development Environment, Large Trace Analysis, and Visualization
por: Chen Kuang Piao, Yonni, et al.
Publicado: (2021) -
Anomaly Detection Framework for Wearables Data: A Perspective Review on Data Concepts, Data Analysis Algorithms and Prospects
por: Sunny, Jithin S., et al.
Publicado: (2022) -
Generalized mirror symmetry and trace anomalies
por: Duff, M J, et al.
Publicado: (2010)