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 …

Context: Recent developments in modern IT systems including internet of things, edge/fog
computing, or cyber–physical systems support intelligent and seamless interaction between …

Automatic metadata generation provides scalability and usability for digital libraries and their
collections. Machine learning methods offer robust and adaptable automatic metadata …

We propose the PREvent framework, which is a system that integrates event-based
monitoring, prediction of SLA violations using machine learning techniques, and automated …

In an environment of constant change and variation driven by competition and innovation, a
software service can rarely remain stable. Being able to manage and control the evolution of …

For providers of composite services, preventing cases of SLA violations is crucial. Previous
work has established runtime adaptation of compositions as a promising tool to achieve SLA …

Service compositions suffer changes in their partner services. Even if the composition does
not change, its behavior may evolve over time and become incorrect. Such changes cannot …

This paper proposes a self-healing approach to handle exceptions in service-based
processes and to repair the faulty activities with a model-based approach. In particular, a set …

With the exponential growth of communication and information technologies, adaptation has
gained a significant attention as it becomes a key feature of service-based systems, allowing …

In this position paper we present a conceptual vision of adaptation, a key feature of
autonomic systems. We put some stress on the role of control data and argue how some of …