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DAGGTAX: A Taxonomy of Data Aggregation Processes
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0002-6952-1053
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2898-9570
Mälardalen University, School of Innovation, Design and Engineering, Embedded Systems.ORCID iD: 0000-0003-2870-2680
2017 (English)In: Model and Data Engineering: 7th International Conference, MEDI 2017, Barcelona, Spain, October 4–6, 2017, Proceedings, 2017, 324-339 p.Conference paper, Published paper (Refereed)
Abstract [en]

Data aggregation processes are essential constituents for data management in modern computer systems, such as decision support systems and Internet of Things (IoT) systems. Due to the heterogeneity and real-time constraints in such systems, designing appropriate data aggregation processes often demands considerable effort. A study on the characteristics of data aggregation processes is then desirable, as it provides a comprehensive view of such processes, potentially facilitating their design, as well as the development of tool support to aid designers. In this paper, we propose a taxonomy called DAGGTAX, which is a feature diagram that models the common and variable characteristics of data aggregation processes, with a special focus on the real-time aspect. The taxonomy can serve as the foundation of a design tool, which we also introduce, enabling designers to build an aggregation process by selecting and composing desired features, and to reason about the feasibility of the design. We apply DAGGTAX on industrial case studies, showing that DAGGTAX not only strengthens the understanding, but also facilitates the model-driven design of data aggregation processes.

Place, publisher, year, edition, pages
2017. 324-339 p.
Keyword [en]
Data Aggregation Taxonomy, Real-time Data Management, Feature Model
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mdh:diva-37043DOI: 10.1007/978-3-319-66854-3OAI: oai:DiVA.org:mdh-37043DiVA: diva2:1157869
Conference
7th International Conference on Model and Data Engineering MEDI 2017, 04 Oct 2017, Barcelona, Spain
Projects
DAGGERS - Data aggregation for embedded real-time database systemsAdequacy-based Testing of Extra-Functional Properties of Embedded Systems (VR)
Available from: 2017-11-16 Created: 2017-11-16 Last updated: 2017-11-16Bibliographically approved

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Cai, SiminGallina, BarbaraNyström, DagSeceleanu, Cristina

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