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

Computing systems are becoming more and more dynamically reconfigurable or adaptive,
to be flexible wrt their environment and to automate their administration. Autonomic …

This paper focuses on the challenges of modeling cyber–physical systems (CPSs) that arise
from the intrinsic heterogeneity, concurrency, and sensitivity to timing of such systems. It …

A cloud is a distributed Internet-based software system providing resources as tiered
services. Through service-orientation and virtualization for resource provisioning, cloud …

Cloud controllers support the operation and quality management of dynamic cloud
architectures by automatically scaling the compute resources to meet performance …

While software is becoming more complex everyday, the requirements on its behavior are
not getting any easier to satisfy. An application should offer a certain quality of service, adapt …

The pervasiveness and growing complexity of software systems are challenging software
engineering to design systems that can adapt their behavior to withstand unpredictable …

Self-adaptation approaches usually rely on closed-loop controllers that avoid human
intervention from adaptation. While such fully automated approaches have proven …

Auto-scaling features enable cloud applications to maintain enough resources to satisfy
demand spikes, reduce costs and keep performance in check. Most auto-scaling strategies …

Elasticity allows a cloud system to maintain an optimal user experience by automatically
acquiring and releasing resources. Autoscaling-adding or removing resources automatically …