In order to meet stringent performance requirements, system administrators must effectively
detect undesirable performance behaviours, identify potential root causes, and take …

Enterprise systems often produce a large volume of logs to record runtime status and events.
Anomaly detection from system logs is crucial for service management and system …

Performance regressions, such as a higher CPU utilization than in the previous version of an
application, are caused by software application updates that negatively affect the …

Logs are primary information resource for fault diagnosis and anomaly detection in large-
scale computer systems, but it is hard to classify anomalies from system logs. Recent studies …

Large-scale websites are predominantly built as a service-oriented architecture. Here,
services are specialized for a certain task, run on multiple machines, and communicate with …

Virtualized cloud systems are prone to performance anomalies due to various reasons such
as resource contentions, software bugs, and hardware failures. In this paper, we present a …

The dynamic nature of the cloud environment has made the distributed resource
management process a challenge for cloud service providers. The importance of …

This paper presents an efficient algorithm for high-quality speech capture in applications
such as hands-free teleconferencing or voice recording by personal computers. We process …

Modern applications especially cloud-based or cloud-centric applications always have many
components running in the large distributed environment with complex interactions. They …

Microservice architectures bring many benefits, eg, faster delivery, improved scalability, and
greater autonomy, so they are widely adopted to develop and operate Internet-based …