Ai for it operations (aiops) on cloud platforms: Reviews, opportunities and challenges
Artificial Intelligence for IT operations (AIOps) aims to combine the power of AI with the big
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …
data generated by IT Operations processes, particularly in cloud infrastructures, to provide …
[HTML][HTML] KRYSTAL: Knowledge graph-based framework for tactical attack discovery in audit data
Attack graph-based methods are a promising approach towards discovering attacks and
various techniques have been proposed recently. A key limitation, however, is that …
various techniques have been proposed recently. A key limitation, however, is that …
Construction of knowledge graphs: State and challenges
With knowledge graphs (KGs) at the center of numerous applications such as recommender
systems and question answering, the need for generalized pipelines to construct and …
systems and question answering, the need for generalized pipelines to construct and …
LogKG: Log Failure Diagnosis through Knowledge Graph
Y Sui, Y Zhang, J Sun, T Xu, S Zhang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Logs are one of the most valuable data to describe the running state of services. Failure
diagnosis through logs is crucial for service reliability and security. The current automatic log …
diagnosis through logs is crucial for service reliability and security. The current automatic log …
A literature review and existing challenges on software logging practices: From the creation to the analysis of software logs
Software logging is the practice of recording different events and activities that occur within a
software system, which are useful for different activities such as failure prediction and …
software system, which are useful for different activities such as failure prediction and …
NORIA-O: an Ontology for Anomaly Detection and Incident Management in ICT Systems
Abstract Large-scale Information and Communications Technology (ICT) systems give rise
to difficult situations such as handling cascading failures and detecting complex malicious …
to difficult situations such as handling cascading failures and detecting complex malicious …
Leveraging knowledge graphs for classifying incident situations in ICT systems
The complexity of Information and Communications Technology (ICT) systems, such as
enterprise or Internet access provider networks, entails uncertainty in causal reasoning for …
enterprise or Internet access provider networks, entails uncertainty in causal reasoning for …
Glad: Content-aware dynamic graphs for log anomaly detection
Logs play a crucial role in system monitoring and debugging by recording valuable system
information, including events and states. Although various methods have been proposed to …
information, including events and states. Although various methods have been proposed to …
[PDF][PDF] Designing NORIA: a Knowledge Graph-based Platform for Anomaly Detection and Incident Management in ICT Systems.
To monitor complex systems, such as telecommunication and computer networks,
interconnecting heterogeneous data with shared definitions is necessary for efficient …
interconnecting heterogeneous data with shared definitions is necessary for efficient …
LEKG: a system for constructing knowledge graphs from log extraction
Logs record system events and status, which help developers and system administrators
diagnose run time errors, monitor running status and mine operation patterns [13, 23] …
diagnose run time errors, monitor running status and mine operation patterns [13, 23] …