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Item type:Publication, Access status: without files , Service-oriented computing : a trajectory for research to 2030Since service-oriented computing was introduced as a major topic in the industry and the research community, 20 years have passed. Today, service orientation has become a commodity in many areas. This has also changed the foci of the research community by a very large degree. In this article, we analyze the current state of the research in the field and give an outlook on future research topics.Publicationtype: Journal Article21 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Charting Process-Based Collaboration Support in Agile Business Networks: Aligning the Need for a Dynamic Internet of Processes from Industry and Research PerspectivesAgile business networking is an emerging concept aimed at helping companies face the challenges of the dynamic economy of the 21st century. It integrates a technology and a business perspective, arriving at highly dynamic Internet-based processes. Despite its importance, there is no common understanding of this concept; many interpretations exist, leading to ad hoc business requirements or technical innovations. This creates confusion in research, development, and application, and possible misalignment of requirements and solutions towards the future. In this article, we set clear lines in this playing field by defining a configuration space for dynamic, process-based business collaboration; analyzing technology push and demand pull forces; and confronting these forces for alignment. To help new research efforts, we outline an approach to properly position them. Thus, we aim to contribute to a well-structured development of a dynamic Internet of Processes.Publicationtype: Journal Article22 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , Elastic Stream Processing for Distributed EnvironmentsThe current development towards the Internet of Things introduces the need for more flexibility in stream processing. To counter these challenges, the authors propose elastic stream processing for distributed environments, building on top of cloud computing and allowing a scalable and more flexible solution compared to traditional approaches.Publicationtype: Journal Article23 - Some of the metrics are blocked by yourconsent settings
Item type:Publication, Access status: without files , 28