Please use this identifier to cite or link to this item: https://hdl.handle.net/10316/114595
DC FieldValueLanguage
dc.contributor.authorCarvalho, Gonçalo-
dc.contributor.authorBernardino, Jorge-
dc.contributor.authorPereira, Vasco-
dc.contributor.authorCabral, Bruno-
dc.date.accessioned2024-04-02T09:29:15Z-
dc.date.available2024-04-02T09:29:15Z-
dc.date.issued2023-
dc.identifier.issn2169-3536pt
dc.identifier.urihttps://hdl.handle.net/10316/114595-
dc.description.abstractDistributed databases and data transformation mechanisms are highly relevant to Business Intelligence and Data Analytics. Most enterprise systems today have multiple and distributed databases, and the growing dissemination of Edge-Oriented architectures is driving this trend across many industries and business domains. The Entity-Relationship (ER) model is fundamental to modeling complex enterprise systems, but it has shortcomings. In particular, the ER model cannot represent data transport between different locations (or databases) of a system, nor can it conceptually express data transformation operations, such as aggregate and line functions, that are standard in data analytics. Therefore, we propose ER+, an extension of the ER model, where data distribution, data transport, data transformation, and information generation for distributed operational and analytical systems can be visually identified. The new ER+ representation has another important benefit, it provides the basis for transforming conceptual models into physical implementations of distributed data-oriented systems. This work introduces new concepts in ER modeling and illustrates their application. The practicality of the ER+ model is also demonstrated through the TPC-H benchmark.pt
dc.language.isoengpt
dc.relationThis work was partially supported by the Portuguese Foundation for Science and Technology (FCT) under PhD grant 2022.12090.BD, and within the scope of the project CISUC-UID/CEC/00326/2020 and by the European Social Fund, through the Regional Operational Program Centro 2020. Also by Project No. 7059 - Neuraspace - AI fights Space Debris, reference C644877546-00000020, supported by the RRP - Recovery and Resilience Plan and the European Next Generation EU Funds, following Notice No. 02/C05-i01/2022, Component 5 - Capitalization and Business Innovation - Mobilizing Agendas for Business Innovation.pt
dc.rightsopenAccesspt
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/pt
dc.subjectConceptual modelpt
dc.subjectdatabasespt
dc.subjectdistributed data storagept
dc.subjectmultilayer systemspt
dc.titleER+: A Conceptual Model for Distributed Multilayer Systemspt
dc.typearticle-
degois.publication.firstPage62744pt
degois.publication.lastPage62757pt
degois.publication.titleIEEE Accesspt
dc.peerreviewedyespt
dc.identifier.doi10.1109/ACCESS.2023.3287796pt
degois.publication.volume11pt
dc.date.embargo2023-01-01*
uc.date.periodoEmbargo0pt
item.fulltextCom Texto completo-
item.grantfulltextopen-
item.languageiso639-1en-
item.cerifentitytypePublications-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.researchunitCISUC - Centre for Informatics and Systems of the University of Coimbra-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.parentresearchunitFaculty of Sciences and Technology-
crisitem.author.orcid0000-0001-7095-5003-
crisitem.author.orcid0000-0001-9660-2011-
crisitem.author.orcid0000-0002-4225-9075-
crisitem.author.orcid0000-0001-9699-1133-
Appears in Collections:FCTUC Eng.Informática - Artigos em Revistas Internacionais
I&D CISUC - Artigos em Revistas Internacionais
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