Big data management challenges in SUPERSEDE
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hdl:2117/113246
Document typeConference report
Defense date2017
PublisherCEUR-WS.org
Rights accessOpen Access
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Attribution-NonCommercial-NoDerivs 3.0 Spain
Abstract
The H2020 SUPERSEDE (www.supersede.eu) project aims to support decision-making in the evolution and adaptation of software services and applications by exploiting end-user feedback and runtime data, with the overall goal of improving the end-users quality of experience (QoE). Such QoE is defined as the overall performance of a system from the point of view of users, which must consider both feedback and runtime data gathered. End-user’s feedback is extracted from online forums, app stores, social networks and novel direct feedback channels, which connect software applications and service users to developers. Runtime data is primarily gathered by monitoring environmental sensors, infrastructures and usage logs. Hereafter, we discuss our solutions for the main data management challenges in SUPERSEDE.
CitationNadal, S., Abelló, A., Romero, O., Varga, J. Big data management challenges in SUPERSEDE. A: International Workshop on Big Data Management in European Projects. "Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017): Venice, Italy, March 21-24, 2017". Venice: CEUR-WS.org, 2017, p. 1.
ISSN1613-0073
Publisher versionhttp://ceur-ws.org/Vol-1810/EuroPro_paper_06.pdf
Collections
- GESSI - Grup d'Enginyeria del Software i dels Serveis - Ponències/Comunicacions de congressos [197]
- inSSIDE - integrated Software, Service, Information and Data Engineering - Ponències/Comunicacions de congressos [332]
- MPI - Modelització i processament de la Informació - Ponències/Comunicacions de congressos [119]
- Departament d'Enginyeria de Serveis i Sistemes d'Informació - Ponències/Comunicacions de congressos [539]
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