Abstract Service-oriented computing is now acknowledged as a central paradigm for Internet
computing, supported by tremendous research and technology development over the last 10 …

The complexity of information systems is increasing in recent years, leading to increased
effort for maintenance and configuration. Self-adaptive systems (SASs) address this issue …

Agent-based computing remains an active field of research with the goal of building (semi-)
autonomous software for dynamic ecosystems. Today, this task should be realized using …

Through field calculus constructs and building-block APIs, aggregate programming could
help unlock the IoT's true potential by allowing complex distributed services to be specified …

This article introduces the notion of environment programming in software multi-agent
systems (MAS) and describes a concrete computational and programming model based on …

Aggregate computing is an emerging approach to the engineering of complex coordination
for distributed systems, based on viewing system interactions in terms of information …

Edge computing promotes the execution of complex computational processes without the
cloud, ie, on top of the heterogeneous, articulated, and possibly mobile systems composed …

Collective adaptive systems are an emerging class of networked computational systems
particularly suited for application domains such as smart cities, complex sensor networks …

The autonomic computing paradigm has been proposed to cope with size, complexity, and
dynamism of contemporary software-intensive systems. The challenge for language …

The complexity of large-scale distributed systems, particularly when deployed in physical
space, calls for new mechanisms to address composability and reusability of collective …