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Experience report: System log analysis for anomaly detection
Anomaly detection plays an important role in management of modern large-scale distributed
systems. Logs, which record system runtime information, are widely used for anomaly …
systems. Logs, which record system runtime information, are widely used for anomaly …
An evaluation study on log parsing and its use in log mining
Logs, which record runtime information of modern systems, are widely utilized by developers
(and operators) in system development and maintenance. Due to the ever-increasing size of …
(and operators) in system development and maintenance. Due to the ever-increasing size of …
Towards automated log parsing for large-scale log data analysis
Logs are widely used in system management for dependability assurance because they are
often the only data available that record detailed system runtime behaviors in production …
often the only data available that record detailed system runtime behaviors in production …
[HTML][HTML] Log-based software monitoring: a systematic map** study
Modern software development and operations rely on monitoring to understand how
systems behave in production. The data provided by application logs and runtime …
systems behave in production. The data provided by application logs and runtime …
Uncovering the hidden potential of event-driven architecture: A research agenda
L Lazzari, K Farias - arxiv preprint arxiv:2308.05270, 2023 - arxiv.org
Event-driven architecture has been widely adopted in the software industry, emerging as an
alternative to modular development to support rapid adaptations of constantly evolving …
alternative to modular development to support rapid adaptations of constantly evolving …
PredictDeep: security analytics as a service for anomaly detection and prediction
As businesses embrace digitization, the Internet of Everything (IoE) begins to take shape
and the Cloud continues to empower new innovations for big data-at the heart, Cloud …
and the Cloud continues to empower new innovations for big data-at the heart, Cloud …
Test case prioritization of build acceptance tests for an enterprise cloud application: An industrial case study
The use of cloud computing brings many new opportunities for companies to deliver
software in a highly-customizable and dynamic way. One such paradigm, Software as a …
software in a highly-customizable and dynamic way. One such paradigm, Software as a …
Spectrum-based log diagnosis
CM Rosenberg, L Moonen - Proceedings of the 14th ACM/IEEE …, 2020 - dl.acm.org
Background: Continuous Engineering practices are increasingly adopted in modern
software development. However, a frequently reported need is for more effective methods to …
software development. However, a frequently reported need is for more effective methods to …
Scheduling real‐time bag‐of‐tasks applications with approximate computations in SaaS clouds
Summary Software as a Service (SaaS) cloud computing has emerged as an attractive
platform to tackle various problems of the traditional software distribution model, such as the …
platform to tackle various problems of the traditional software distribution model, such as the …
DILAF: A framework for distributed analysis of large‐scale system logs for anomaly detection
System logs constitute a rich source of information for detection and prediction of anomalies.
However, they can include a huge volume of data, which is usually unstructured or …
However, they can include a huge volume of data, which is usually unstructured or …