Logs are semi-structured text generated by logging statements in software source code. In
recent decades, software logs have become imperative in the reliability assurance …

Outliers are also referred to as abnormalities, discordants, deviants, or anomalies in the data
mining and statistics literature. In most applications, the data is created by one or more …

Logs have been an imperative resource to ensure the reliability and continuity of many
software systems, especially large-scale distributed systems. They faithfully record runtime …

We propose a simple yet effective detector for pedestrian detection. The basic idea is to
incorporate common sense and everyday knowledge into the design of simple and …

With the ever-growing complexity and dynamicity of computer systems, proactive fault
management is an effective approach to enhancing availability. Online failure prediction is …

If we hope to automatically detect and diagnose failures in large-scale computer systems,
we must study real deployed systems and the data they generate. Progress has been …

Frequent failures are becoming a serious concern to the community of high-end computing,
especially when the applications and the underlying systems rapidly grow in size and …

Large-scale parallel computing is relying increasingly on clusters with thousands of
processors. At such large counts of compute nodes, faults are becoming common place …

The growing computational and storage needs of several scientific applications mandate the
deployment of extreme-scale parallel machines, such as IBM's BlueGene/L which can …

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 …