The wide availability of high‐performance computing systems, Grids and Clouds, allowed
scientists and engineers to implement more and more complex applications to access and …

This paper introduces FireWorks, a workflow software for running high‐throughput
calculation workflows at supercomputing centers. FireWorks has been used to complete …

Semantic modeling approaches (eg, conceptual models, controlled vocabularies, and
ontologies) are increasingly being adopted to help address a number of challenges in …

The ability to support Quality of Service (QoS) constraints is an important requirement in
some scientific applications. With the increasing use of Cloud computing infrastructures …

Due to distribution, participant autonomy and lack of local control, service-based systems
operate in highly dynamic and uncertain environments. In the face of such dynamism and …

In this essay, I present a reflective and generative analysis of Business Process
Management research, in which I analyze process management and the surrounding …

Interest in data streaming within scientific workflow has increased significantly over the
recent years—mainly due to the emergence of data‐driven applications. Such applications …

The workflow paradigm is a well established approach to deal with application complexity by
supporting the application development by composition of multiple activities. Furthermore …

This paper introduces an event-driven solution for modern scientific workflows. This novel
approach enables truly dynamic workflows by splitting them into their constituent parts …

With the rise of the Internet of Things (IoT) and Edge computing, a considerable amount of
system services are moving from reliable Cloud data centers to less reliable infrastructures …