The evolution of technology is leading to a world where computational systems are made of
a huge number of components spread over a logical network: these components operate in …

Nowadays, computing infrastructures are usually deployed in fully controlled environments
and managed in a centralized fashion. Leveraging on centralized infrastructures prevent the …

Self-adaptability has been proposed as an effective approach to deal with the increasing
complexity, distribution, and dynamicity of modern software systems. Although noteworthy …

With the increasing ubiquity and scale of self-adaptive systems, there is a growing need to
decentralize the functionality that realizes self-adaptation. Our focus is on architecture-based …

A key requirement to realize modern distributed systems is the ability of systems to
autonomously adapt their behavior to changing environmental conditions at runtime, to …

Software systems in domains like Smart Cities, the Internet of Things or autonomous cars
are coined by a high degree of distribution across several independent computing devices …

Autonomous systems need to support dynamic software adaptation in order to handle the
complexity and unpredictability of the execution environment, and the changing needs of the …

The emergence of global network connectivity has motivated the investigation of models and
techniques for dynamic self adaptive distributed software for two reasons: to enable …

Increasingly, distributed systems have to deal with highly dynamic and hardly predictable
environments. This trend, in conjunction with rising demands for sophisticated non …

Self-adaptive systems have been introduced to manage situations where software systems
operate under continuous perturbations due to the unpredicted behaviors of their clients and …