Nowadays, reliability assurance is crucial in components of IT infrastructures. Unavailability
of any element or connection results in downtime and triggers monetary and performance …

System logs, which describe a variety of events of software systems, are becoming
increasingly popular for anomaly detection. However, for a large software system, current …

Modern information and communication systems have become increasingly challenging to
manage. The ubiquitous system logs contain plentiful information and are thus widely …

Deep neural networks (DNNs) have been widely employed to solve log anomaly detection
and outperform a range of conventional methods. They have attained such striking success …

Logs are imperative in the management process of networks and services. However,
manually identifying and classifying anomalous logs is time-consuming, error-prone, and …

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 …

As production system estates become larger and more complex, ensuring stability through
traditional monitoring approaches becomes more challenging. Rule-based monitoring is …

This paper presents, a log analytics platform with near-storage accelerators for high-
performance, cost-and power-efficient unstructured log processing. offloads log analytics …

System failures are expected to be frequent in the exascale era such as current Petascale
systems. The health of such systems is usually determined from challenging analysis of …

As a simple and low-cost way to obtain enough computing resources, more and more
tenants migrate their tasks to the cloud. However, the frequent occurrence of abnormal …