Please use this identifier to cite or link to this item: https://hdl.handle.net/10419/307481 
Year of Publication: 
2023
Citation: 
[Journal:] Information Systems Frontiers [ISSN:] 1572-9419 [Volume:] 26 [Issue:] 3 [Publisher:] Springer US [Place:] New York, NY [Year:] 2023 [Pages:] 1063-1090
Publisher: 
Springer US, New York, NY
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.
Subjects: 
Service re-selection
Mobile environments
Runtime decision support
Disruptive events
Multi user processes
Context-awareness
Persistent Identifier of the first edition: 
Creative Commons License: 
cc-by Logo
Document Type: 
Article
Document Version: 
Published Version

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