Anomaly detection and failure root cause analysis in (micro) service-based cloud applications: A survey

J Soldani, A Brogi - ACM Computing Surveys (CSUR), 2022 - dl.acm.org
The proliferation of services and service interactions within microservices and cloud-native
applications, makes it harder to detect failures and to identify their possible root causes …

How is organic fertilizer produced and applied to chili and eggplant plants?

ED Yuniwati, R Darmayanti… - AMCA Journal of …, 2023 - journal.amca2012.org
Organic fertilizers increase plant growth and yield by improving soil properties. Judging from
the physical properties of the soil, organic fertilizer can increase the soil's ability to hold …

Identifying bad software changes via multimodal anomaly detection for online service systems

N Zhao, J Chen, Z Yu, H Wang, J Li, B Qiu… - Proceedings of the 29th …, 2021 - dl.acm.org
In large-scale online service systems, software changes are inevitable and frequent. Due to
importing new code or configurations, changes are likely to incur incidents and destroy user …

Reinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings

A Belhadi, Y Djenouri, G Srivastava, JCW Lin - Computer Communications, 2021 - Elsevier
This paper develops a new framework called MASAD (Multi-Agents System for Anomaly
Detection), a hybrid combination of reinforcement learning, and a multi-agents system to …

TraceGra: A trace-based anomaly detection for microservice using graph deep learning

J Chen, F Liu, J Jiang, G Zhong, D Xu, Z Tan… - Computer …, 2023 - Elsevier
Trace is widely used to detect anomalies in distributed microservice systems because of the
capability of precisely reconstructing user request paths. However, most existing trace …

FRL-MFPG: Propagation-aware fault root cause location for microservice intelligent operation and maintenance

Y Chen, D Xu, N Chen, X Wu - Information and Software Technology, 2023 - Elsevier
Context: Due to the continuous updates and complex dependencies of microservices, the
probability of a fault occurrence and the difficulty of doing a diagnosis have increased …

X-MAN: A non-intrusive power manager for energy-adaptive cloud-native network functions

Z Xiang, M Höweler, D You… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Emerging microservices demand flexible low-latency processing of network functions in
virtualized environments, eg, as containerized network functions (CNFs). While ensuring …

Detection of microservice‐based software anomalies based on OpenTracing in cloud

M Khanahmadi, A Shameli‐Sendi… - Software: Practice …, 2023 - Wiley Online Library
Today, the noticeable tendency of the software industry to break large software projects into
loosely coupled modules through a microservice‐based architecture is more than ever. This …

Anomaly Detection in Microservice-Based Systems

J Nobre, EJS Pires, A Reis - Applied Sciences, 2023 - mdpi.com
Currently, distributed software systems have evolved at an unprecedented pace. Modern
software-quality requirements are high and require significant staff support and effort. This …

Automated grey-box testing of microservice architectures

L Giamattei, A Guerriero… - 2022 IEEE 22nd …, 2022 - ieeexplore.ieee.org
Microservices Architectures (MSA) have found large adoption in companies delivering
online services, often in conjunction with agile development practices. Microservices are …