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

This paper introduces a generic and scalable framework for automated anomaly detection
on large scale time-series data. Early detection of anomalies plays a key role in maintaining …

Online fault detection is one of the key technologies to improve the performance of cloud
systems. The current data of cloud systems is to be monitored, collected and used to reflect …

In the context of biomedical data, an anomaly could refer to a rare or new type of disease, an
aberration from normal behavior, or an unexpected observation requiring immediate …

Abstract High Performance Computing (HPC) systems are complex machines with
heterogeneous components that can break or malfunction. Automated anomaly detection in …

Among the extensive and impressive collection of applications enabled by IoT, smart and
interactive healthcare is a particularly important one. To gather rich information indicator of …

Performance diagnosis is labor intensive in production cloud computing systems. Such
systems typically face many real-world challenges, which the existing diagnosis techniques …

The promising potential of cloud computing and its convergence with technologies such as
mobile computing, wireless networks, sensor technologies allows for creation and delivery …

With the growing complexity and scale of high performance computing (HPC) systems,
application performance variation has become a significant challenge in efficient and …

Today's large-scale supercomputers encounter faults on a daily basis. Exascale systems are
likely to experience even higher fault rates due to increased component count and density …