Holistic Root Cause Analysis for Failures in Cloud-Native Systems Through Observability Data
Y Han, Q Du, Y Huang, P Li, X Shi, J Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Microservices are widely adopted in large IT enterprises, leveraging the scalability,
resiliency, and elasticity of the cloud-native architecture. Effective root cause analysis is …
resiliency, and elasticity of the cloud-native architecture. Effective root cause analysis is …
Landscape and Taxonomy of Online Parser-Supported Log Anomaly Detection Methods
As production system estates become larger and more complex, ensuring stability through
traditional monitoring approaches becomes more challenging. Rule-based monitoring is …
traditional monitoring approaches becomes more challenging. Rule-based monitoring is …
Systematic Evaluation of Deep Learning Models for Log-based Failure Prediction
With the increasing complexity and scope of software systems, their dependability is crucial.
The analysis of log data recorded during system execution can enable engineers to …
The analysis of log data recorded during system execution can enable engineers to …
First ce matters: On the importance of long term properties on memory failure prediction
Dynamic random access memory failures are a threat to the reliability of data centres as they
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
lead to data loss and system crashes. Timely predictions of memory failures allow for taking …
The Potential of One-Shot Failure Root Cause Analysis: Collaboration of the Large Language Model and Small Classifier
Y Han, Q Du, Y Huang, J Wu, F Tian, C He - Proceedings of the 39th …, 2024 - dl.acm.org
Failure root cause analysis (RCA), which systematically identifies underlying faults, is
essential for ensuring the reliability of widely adopted microservice-based applications and …
essential for ensuring the reliability of widely adopted microservice-based applications and …
PreLog: A Pre-trained Model for Log Analytics
Large-scale software-intensive systems often produce a large volume of logs to record
runtime status and events for troubleshooting purposes. The rich information in log data …
runtime status and events for troubleshooting purposes. The rich information in log data …
Systematic Evaluation of Deep Learning Models for Failure Prediction
With the increasing complexity and scope of software systems, their dependability is crucial.
The analysis of log data recorded during system execution can enable engineers to …
The analysis of log data recorded during system execution can enable engineers to …
[图书][B] AI-enabled log analysis for improving IT system dependability
J Bogatinovski - 2023 - search.proquest.com
Modern IT systems play an indispensable role in industrial infrastructure and affect human
society, as billions of users and devices constantly compute, exchange and store data. Their …
society, as billions of users and devices constantly compute, exchange and store data. Their …
[PDF][PDF] An Efficient Failure Predictive and Remediation System for Windows Infrastructure with Analysis of Log-Event Records
DA Bhanage, AV Pawar, A Joshi, RG Pawar - researchgate.net
The demand for IT infrastructures has grown due to their importance in business and
everyday life. Downtime due to the unavailability of any IT infrastructure components is …
everyday life. Downtime due to the unavailability of any IT infrastructure components is …