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Big data management challenges in SUPERSEDE
dc.contributor.author | Nadal Francesch, Sergi |
dc.contributor.author | Abelló Gamazo, Alberto |
dc.contributor.author | Romero Moral, Óscar |
dc.contributor.author | Varga, Jovan |
dc.contributor.other | Universitat Politècnica de Catalunya. Departament d'Enginyeria de Serveis i Sistemes d'Informació |
dc.date.accessioned | 2018-01-26T10:20:34Z |
dc.date.available | 2018-01-26T10:20:34Z |
dc.date.issued | 2017 |
dc.identifier.citation | Nadal, 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. |
dc.identifier.issn | 1613-0073 |
dc.identifier.uri | http://hdl.handle.net/2117/113246 |
dc.description.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. |
dc.format.extent | 1 p. |
dc.language.iso | eng |
dc.publisher | CEUR-WS.org |
dc.rights | Attribution-NonCommercial-NoDerivs 3.0 Spain |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ |
dc.subject | Àrees temàtiques de la UPC::Informàtica::Enginyeria del software |
dc.subject.lcsh | Big data |
dc.subject.other | H2020 SUPERSEDE |
dc.subject.other | Software services |
dc.subject.other | End-users quality of experience |
dc.subject.other | QoE |
dc.title | Big data management challenges in SUPERSEDE |
dc.type | Conference report |
dc.subject.lemac | Macrodades |
dc.contributor.group | Universitat Politècnica de Catalunya. inSSIDE - integrated Software, Service, Information and Data Engineering |
dc.contributor.group | Universitat Politècnica de Catalunya. MPI - Modelització i Processament de la Informació |
dc.description.peerreviewed | Peer Reviewed |
dc.relation.publisherversion | http://ceur-ws.org/Vol-1810/EuroPro_paper_06.pdf |
dc.rights.access | Open Access |
local.identifier.drac | 21716080 |
dc.description.version | Postprint (published version) |
dc.relation.projectid | info:eu-repo/grantAgreement/EC/H2020/644018/EU/SUpporting evolution and adaptation of PERsonalized Software by Exploiting contextual Data and End-user feedback/SUPERSEDE |
local.citation.author | Nadal, S.; Abelló, A.; Romero, O.; Varga, J. |
local.citation.contributor | International Workshop on Big Data Management in European Projects |
local.citation.pubplace | Venice |
local.citation.publicationName | Proceedings of the Workshops of the EDBT/ICDT 2017 Joint Conference (EDBT/ICDT 2017): Venice, Italy, March 21-24, 2017 |
local.citation.startingPage | 1 |
local.citation.endingPage | 1 |