Modern software applications are subject to uncertain operating conditions, such as
dynamics in the availability of services and variations of system goals. Consequently …

We propose an approach to learn image representations that consist of disentangled factors
of variation without exploiting any manual labeling or data domain knowledge. A factor of …

Embodied self-aware computing systems are embedded in a physical environment with a
rich set of sensors and actuators to interact both with their environment and with their own …

Architecting IoT systems able to guarantee Quality of Service (QoS) levels can be a
challenging task due to the inherent uncertainties (induced by changes in eg, energy …

Modern software should satisfy multiple goals simultaneously: it should provide predictable
performance, be robust to failures, handle peak loads and deal seamlessly with unexpected …

Self-adaptation provides a principled way to deal with software systems' uncertainty during
operation. Examples of such uncertainties are disturbances in the environment, variations in …

Proactive latency-aware adaptation is an approach for self-adaptive systems that considers
both the current and anticipated adaptation needs when making adaptation decisions …

Motivated by the need for cyber-physical systems (CPS) to perform in dynamic and uncertain
environments, smart CPS (sCPS) utilize self-adaptive capabilities to autonomously manage …

Research in self-adaptive systems often uses web applications as target systems, running
the actual software on real web servers. This approach has three drawbacks. First, these …

Self-adaptive software systems monitor their operation and adapt when their requirements
fail due to unexpected phenomena in their environment. This article examines the case …