Service Re-Selection for Disruptive Events in Mobile Environments: A Heuristic Technique for Decision Support at Runtime

Michael Bortlik, Bernd Heinrich () and Daniel Lohninger
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Michael Bortlik: University of Regensburg
Bernd Heinrich: University of Regensburg
Daniel Lohninger: University of Regensburg

Information Systems Frontiers, 2024, vol. 26, issue 3, No 12, 1063-1090

Abstract: Abstract Modern service-based processes in mobile environments are highly complex due to the necessary spatial–temporal coordination between multiple participating users and the consideration of context information. Due to the dynamic nature of mobile environments, disruptive events occur at runtime, which require a re-selection of the planned service compositions respecting multiple users and context-awareness. Thereby, when re-selecting services the features performance, solution quality, solution robustness and alternative solutions are essential and contribute to the efficacy of service systems. This paper presents an optimization-based heuristic technique based on a stateful representation that uses a region-based approach to re-select services considering multiple users, context information and in particular disruptive events at runtime. The evaluation results, which are based on a real-world scenario from the tourism domain, show that the proposed heuristic is superior compared to competing artifacts.

Keywords: Service re-selection; Mobile environments; Runtime decision support; Disruptive events; Multi user processes; Context-awareness (search for similar items in EconPapers)
Date: 2024
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DOI: 10.1007/s10796-023-10392-8

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