Software performance anomaly detection is a major challenge in complex industrial cyber-
physical systems. The automated comparison of runtime execution metrics to reference ones …

We propose a versatile and fully data-centric methodology towards anomaly detection and
identification in modern industrial Cyber–Physical Systems (CPS). Our motivation behind …

The analysis and correct categorisation of software performance anomalies is a major
challenge in current industrial Cyber-Physical Systems (CPS). The automated evaluation of …

We propose a novel methodology for real-time monitoring of software running on embedded
processors in cyber-physical systems (CPS). The approach uses real-time monitoring of …

Embedded systems suffer from reliability issues such as variations in temperature and
voltage, single event effects and component degradation, as well as being exposed to …

Advances in technology and computing power have led to the emergence of complex and
large-scale software architectures in recent years. However, they are prone to performance …

As technology scaling reaches nanometre scales, the error rate due to variations in
temperature and voltage, single event effects and component degradation increases …

In recent years, distributed systems have become increasingly complex as they grow in both
scale and functionality. Such complexity makes these systems prone to performance …

Complex system software allows a variety of execution conditions on system configurations
and workload properties. This paper explores a principled use of reference executions …

Large-scale-software systems (LSSs) are composed of hundreds of subsystems that interact
with each other in an unforeseen and complex ways. The operators of these LSSs strictly …