Knowledge-defined networking
The research community has considered in the past the application of Artificial Intelligence
(AI) techniques to control and operate networks. A notable example is the Knowledge Plane …
(AI) techniques to control and operate networks. A notable example is the Knowledge Plane …
Automated IT system failure prediction: A deep learning approach
In mission critical IT services, system failure prediction becomes increasingly important; it
prevents unexpected system downtime, and assures service reliability for end users. While …
prevents unexpected system downtime, and assures service reliability for end users. While …
[HTML][HTML] System log clustering approaches for cyber security applications: A survey
Log files give insight into the state of a computer system and enable the detection of
anomalous events relevant to cyber security. However, automatically analyzing log data is …
anomalous events relevant to cyber security. However, automatically analyzing log data is …
[HTML][HTML] Log-based software monitoring: a systematic mapping 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 …
System log parsing: A survey
Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …
manage. The ubiquitous system logs contain plentiful information and are thus widely …
Length matters: Clustering system log messages using length of words
K Shima - arXiv preprint arXiv:1611.03213, 2016 - arxiv.org
The analysis techniques of system log messages (syslog messages) have a long history
from when the syslog mechanism was invented. Typically, the analysis consists of two parts …
from when the syslog mechanism was invented. Typically, the analysis consists of two parts …
Prefix: Switch failure prediction in datacenter networks
In modern datacenter networks (DCNs), failures of network devices are the norm rather than
the exception, and many research efforts have focused on dealing with failures after they …
the exception, and many research efforts have focused on dealing with failures after they …
Syslog processing for switch failure diagnosis and prediction in datacenter networks
Syslogs on switches are a rich source of information for both post-mortem diagnosis and
proactive prediction of switch failures in a datacenter network. However, such information …
proactive prediction of switch failures in a datacenter network. However, such information …
Proactive failure detection learning generation patterns of large-scale network logs
T Kimura, A Watanabe, T Toyono… - IEICE Transactions on …, 2019 - search.ieice.org
Recent carrier-grade networks use many network elements (switches, routers) and servers
for various network-based services (eg, video on demand, online gaming) that demand …
for various network-based services (eg, video on demand, online gaming) that demand …
Logparse: Making log parsing adaptive through word classification
Logs are one of the most valuable data sources for large-scale service (eg, social network,
search engine) maintenance. Log parsing serves as the the first step towards automated log …
search engine) maintenance. Log parsing serves as the the first step towards automated log …