Experience report: System log analysis for anomaly detection

S He, J Zhu, P He, MR Lyu - 2016 IEEE 27th international …, 2016 - ieeexplore.ieee.org
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 …

An evaluation study on log parsing and its use in log mining

P He, J Zhu, S He, J Li, MR Lyu - 2016 46th annual IEEE/IFIP …, 2016 - ieeexplore.ieee.org
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 …

Towards automated log parsing for large-scale log data analysis

P He, J Zhu, S He, J Li, MR Lyu - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
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 …

[HTML][HTML] Log-based software monitoring: a systematic map** study

J Cândido, M Aniche, A Van Deursen - PeerJ Computer Science, 2021 - peerj.com
Modern software development and operations rely on monitoring to understand how
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 …

PredictDeep: security analytics as a service for anomaly detection and prediction

MA Elsayed, M Zulkernine - IEEE Access, 2020 - ieeexplore.ieee.org
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 …

Test case prioritization of build acceptance tests for an enterprise cloud application: An industrial case study

H Srikanth, M Cashman, MB Cohen - Journal of Systems and Software, 2016 - Elsevier
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 …

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 …

Scheduling real‐time bag‐of‐tasks applications with approximate computations in SaaS clouds

GL Stavrinides, HD Karatza - Concurrency and computation …, 2020 - Wiley Online Library
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 …

DILAF: A framework for distributed analysis of large‐scale system logs for anomaly detection

M Astekin, H Zengin, H Sözer - Software: Practice and …, 2019 - Wiley Online Library
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 …