Context: Self-adaptive systems have been studied in software engineering over the past few
decades attempting to address challenges within the field. There is a continuous significant …

Autoscaling system can reconfigure cloud-based services and applications, through various
configurations of cloud software and provisions of hardware resources, to adapt to the …

This book is the first ever to focus on the emerging field of self-aware computing from an
engineering perspective. It first comprehensively introduces fundamentals for self …

Self-Adaptive Software (SAS) can reconfigure itself to adapt to the changing environment at
runtime, aiming to continually optimize conflicted nonfunctional objectives (eg, response …

In the presence of scale, dynamism, uncertainty and elasticity, cloud software engineers
faces several challenges when modeling Quality of Service (QoS) for cloud-based software …

Elasticity in the cloud is often achieved by on-demand autoscaling. In such context, the goal
is to optimize the Quality of Service (QoS) and cost objectives for the cloud-based services …

Modern configurable systems provide tremendous opportunities for engineering future
intelligent software systems. A key difficulty thereof is how to effectively self-adapt the …

Learning and predicting the performance of a configurable software system helps to provide
better quality assurance. One important engineering decision therein is how to encode the …

Given the ever-increasing complexity of adaptable software systems and their commonly
hidden internal information (eg, software runs in the public cloud), machine learning based …

When faced with the task of designing and implementing a new self-aware and self-
expressive computing system, researchers and practitioners need a set of guidelines on …