Deliverables
"Report providing an analysis of the security concerns of the project, formalizing the security requirements and also presenting the concrete security strategy to be followed throughout the rest of the project. This deliverable will include a verification that the security model of the project complies with the requirement of the ""Opinion of the Article 29 Data Protection Working Party on Cloud Computing"", and include the recommendations to assist the user in the selection of a cloud provider that guarantees compliance with EU data protection legislation."
This report will identify the main elements and their relationships of the QoS monitoring system (gathering metrics at the application level, virtual & physical computation nodes, & network) developed in T3.3.
This report provides an analysis of assets identified in period one, expected assets resulting from period two; and an analysis of the markets in EU and Brazil, and plan to engage stakeholders identified for each asset.
This deliverable will report about the final implementation of the data eco-system, the data analytics and mining toolbox, data interfaces and additional components/connectors.
This deliverable will report about the design of the big and fast data eco-system.
The strategy defines target audiences, research/industry/policy information needs; event planning & attendance; media outreach; means for monitoring and measuring outcomes and impact. This document will report on the branding & identity of the project and web platform development to facilitate the communities engagement and exploitation of the assets.
This report will include a prioritized list of requirements that will guide the implementation of the different services in WP3, WP4, WP5 and WP6.
Describes the protocols and presents the services that implement the AAA mechanisms.
This deliverable refers to the scaling policies and infrastructure load balancing based on performance models and optimisation techniques to fulfil QoS constraints minimising the execution cost developed in T3.5.
Presents the methodologies for estimating the trustworthiness of the infrastructure based on the assessment results.
This deliverable will summarise the major present opportunities and describe the future ones. Stakeholders will benefit from this analysis, based on joint EU-BR initiatives and reflect the EU Brazil policy dialogue. This is the lasting legacy of the project to stakeholders, discussing on the potential socio-economic impact of the research roadmap proposed in EUBra-BIGSEA.
This deliverables provides a specification and implementation of the DQaS Architecture as well as the MapReduce-based Entity Matching approaches.
This report will include the architectural choices and developments needed to design and integrate all the contributed components of the framework. This initial design will also be provided to ensure the smooth integration of all pieces of the EUBra-BIGSEA platform.
This report will include the process and outcome of the validation of the requirements, expressed by the users of the services (application developers).
This deliverable will indicate the list of the identified communities, the actions taken to engage the stakeholders, and the effectiveness of the communication and promotional campaigns. Moreover, it will report on the most relevant communities that could uptake the EUBra-BIGSEA assets.
This document provides a detailed analysis of the assets accrued, the business model definition, internal and external exploitation plans and business plans based on the potential market and research uptake with relevant stakeholders identified.
This deliverable will summarise the EU Brazil joint effort initiatives in cloud computing and report a preliminary analysis of the present challenges and research & innovation opportunities in cloud computing, Big Data analytics and massive connected societies.
First version of the design of the software components developed in this WP and their integration in the project architecture.
This report will detail the identified user communities and the actions to engage the stakeholders. This will include the dissemination plan and it will be used as a guide during the entire project lifetime to convey the right message and implement the actions for the communication and promotional campaigns.
This report includes the description of the interfaces provided to the applications in order to make them transparently access the data analytics layer. It will also include the integration with the QoS and the security layer.
This deliverable is the implementation (with an accompanying document) of the tools developed within WP3 and will include the ground technologies for advanced auto-scaling and load balancing, namely: initial version of (i) the mechanisms for Horizontal and Vertical elasticity of T3.2; (ii) approaches for proactive horizontal and vertical scaling and load balancing from T3.4; (iii) optimization based approaches for horizontal and vertical scaling and load balancing from T3.5.
The deliverable is a toolbox that comprises techniques that support the characterization methodology adopted in the project.
Describes the techniques and tools to assess the security of the components of the infrastructure.
This deliverable is the implementation (with an accompanying document) of the tools developed within WP3 and will include the final version of (i) the mechanisms for Horizontal and Vertical elasticity of T3.2; (ii) approaches for proactive horizontal and vertical scaling and load balancing from T3.4; (iii) optimization based approaches for horizontal and vertical scaling and load balancing from T3.5.
This deliverable is the implementation (with an accompanying document) of the tools developed within WP3 and will include the implementation of the configuration and contextualisation service developed in T3.1, and the lightweight monitoring system developed in T3.3.
The deliverable is a toolbox that comprises techniques that support the characterization methodology adopted in the project.
Describes the privacy modeling mechanisms to be provided, how to use them and also the techniques and tools to apply protection techniques that can enforce these models.
Software and data that implement the various data integration techniques from Task T7.1.
The deliverable is a running application that is accessible through the internet and materializes the Routes for People use case described in T7.5.
This deliverable will report about the QoS-based integration and the adaptation activities at the PaaS level for the big and fast data eco-system.
This deliverable will report about the integration activities, related to the security and privacy extensions provided by WP6, into the big and fast data eco-system.
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Publications
Author(s): Átila Silva Júnior, Miguel Sousa, Wender Xavier, Faber Xavier, Artur Ziviani, Jussara Almeida and Humberto Marques
Published in: 34th Brazilian Symposium on Computer Networks and Distributed Systems (SBRC), May-June/2016, 2016
Publisher: SBRC
Author(s): Vinícius Dias, Ruens Moreira, Wagner Meira Jr., and Dorgival Guedes
Published in: 16th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid), May/2016, 2016
Publisher: CCGrid
Author(s): FERREIRA, A. ; BASSO, T. ;
SILVA, H. ; MORAES, R.
Published in: XVIII Workshop de Testes e Tolerância a Falhas (WTF 2017), 2017
Publisher: IEEE
Author(s): Tania Basso, Hebert Silva,
Regina Moraes
Published in: 2018
Publisher: Springer
Author(s): Walter dos Santos, Luiz F. M. Carvalho, Gustavo de P. Avelar, Atila Silva, Lucas M. Ponce, Dorgival Guedes, Wagner Meira
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 745-748, ISBN 978-1-5090-6611-7
Publisher: IEEE
DOI: 10.1109/CCGRID.2017.142
Author(s): Andrea Bobbio, Cristiana
Bolchini, Davide Cerotti,
Marco Gribaudo, Antonio
Miele
Published in: 2017
Publisher: Elsevier
Author(s): Victor Anton, Cristian Ramon-Cortes, Jorge Ejarque, Rosa M. Badia
Published in: 2017 25th Euromicro International Conference on Parallel, Distributed and Network-based Processing (PDP), 2017, Page(s) 463-467, ISBN 978-1-5090-6058-0
Publisher: IEEE
DOI: 10.1109/PDP.2017.26
Author(s): Rafael Almeida, Osvaldo Fonseca, Elverton Fazzion, Dorgival Guedes, Wagner Meira, Ítalo Cunha
Published in: 2017, Page(s) 242-254
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-54328-4_18
Author(s): MATSUNAGA, R. ;
RICARTE, I. ;BASSO, T. ;
MORAES, R
Published in: Internation al Workshop on Recent Advances in the Dependabil ity Assessmen t of Complex Systems (RADIANCE 2017), 2017, ISSN 2325-6664
Publisher: IEEE
Author(s): Tiago Brasileiro Araújo, Cinzia Cappiello, Nadia Puchalski Kozievitch, Demetrio Gomes Mestre, Carlos Eduardo Santos Pires, Monica Vitali
Published in: Proceedings of the 21st International Database Engineering & Applications Symposium on - IDEAS 2017, 2017, Page(s) 304-308, ISBN 9781-450352208
Publisher: ACM Press
DOI: 10.1145/3105831.3105834
Author(s): Hebert Silva, Tania Basso,
Regina Moraes, Donatello
Elia, Cosimo Palazzo,
Sandro Fiore, Giovanni
Aloisio
Published in: 2018
Publisher: IEEE Xplore
Author(s): Carlos de Alfonso, Ignacio Blanquer, German Molto, Miguel Caballer
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 1070-1079, ISBN 978-1-5090-6611-7
Publisher: IEEE
DOI: 10.1109/CCGRID.2017.128
Author(s): Eugenio Gianniti, Danilo Ardagna, Michele Ciavotta, Mauro Passacantando
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 1080-1089, ISBN 978-1-5090-6611-7
Publisher: IEEE
DOI: 10.1109/CCGRID.2017.135
Author(s): Alessandro DAnca, Cosimo Palazzo, Donatello Elia, Sandro Fiore, Ioannis Bistinas, Kristin Bottcher, Victoria Bennett, Giovanni Aloisio
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 1035-1043, ISBN 978-1-5090-6611-7
Publisher: IEEE
DOI: 10.1109/CCGRID.2017.132
Author(s): Claudia Morgado, Gisele
Busichia Baioco, Tania
Basso, Regina Moraes
Published in: 2018
Publisher: Spring er
Author(s): Cristian Ramon-Cortes,
Albert Serven, Jorge
Ejarque, Daniele Lezzi,
Rosa M. Badia
Published in: 2018
Publisher: Springer
Author(s): Tania Basso, Regina Moraes, Nuno Antunes, Marco Vieira, Walter Santos, Wagner Meira
Published in: 2017 17th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGRID), 2017, Page(s) 1108-1116, ISBN 978-1-5090-6611-7
Publisher: IEEE
DOI: 10.1109/CCGRID.2017.136
Author(s): Safia Kalwar, Eugenio
Gianniti, Joas Yannick
Kinouani, Youssef Ridene,
Danilo Ardagna
Published in: 2018
Publisher: Springer
Author(s): Nuno Laranjeiro, Seyma Nur Soydemir, Jorge Bernardino
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), October 19-21, 2016, 2016, Page(s) 139-144, ISBN 978-1-5090-5120-5
Publisher: IEEE
DOI: 10.1109/LADC.2016.30
Author(s): Nádia P. Kozievitch, Luiz C. Gomes-Jr, Tatiana M. C. Gadda, Keiko V. O. Fonseca, Monika Akbar
Published in: Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, Vol. 1, April 2016, 2016, Page(s) 78-85, ISBN 978-989-758-184-7
Publisher: SCITEPRESS - Science and and Technology Publications
DOI: 10.5220/0005840500780085
Author(s): Tania Basso, Roberta Matsunaga, Regina Moraes, Nuno Antunes
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), October 20, 2016, 2016, Page(s) 164-171, ISBN 978-1-5090-5120-5
Publisher: IEEE
DOI: 10.1109/LADC.2016.34
Author(s): Henrique Alves, Baldoino Fonseca, Nuno Antunes
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), October 19-21, 2016, 2016, Page(s) 151-156, ISBN 978-1-5090-5120-5
Publisher: IEEE
DOI: 10.1109/LADC.2016.32
Author(s): Carlo Dimastrogiovanni, Nuno Laranjeiro
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), October 19-21, 2016, 2016, Page(s) 119-122, ISBN 978-1-5090-5120-5
Publisher: IEEE
DOI: 10.1109/LADC.2016.25
Author(s): Luis Ventura, Nuno Antunes
Published in: 2016 12th European Dependable Computing Conference (EDCC), September 5-9, 2016, 2016, Page(s) 161-168, ISBN 978-1-5090-1582-5
Publisher: IEEE
DOI: 10.1109/EDCC.2016.30
Author(s): Nádia P. Kozievitch, Leonelo D. A. Almeida, Ricardo Dutra da Silva, Rodrigo Minetto
Published in: Proceedings of the 5th International Conference on Smart Cities and Green ICT Systems, Vol. 1, April 2016, 2016, Page(s) 94-99, ISBN 978-989-758-184-7
Publisher: SCITEPRESS - Science and and Technology Publications
DOI: 10.5220/0005878800940099
Author(s): Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Published in: InfQ 2016 - New Frontiers in Quantitative Methods in Informatics, October 2016, 2016
Publisher: InfQ 2016
Author(s): Matheus Maciel, Nazareno Andrade, Leandro Marinho and Helder Carlos
Published in: 4th Symposium on Knowledge Discovery, Mining and Learning (KDMILE 2016), October 2016, 2016
Publisher: KDMILE
Author(s): Rodrigo Minetto, Nádia P. Kozievitch, Ricardo D. da Silva, Leonelo D. A. Almeida and Juliana de Santi
Published in: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Nov. 2016, 2016, Page(s) 2372-2377
Publisher: IEEE
Author(s): Giovanni Paolo Gibilisco, Min Li, Li Zhang, Danilo Ardagna
Published in: Proceedings of the 8th IEEE International Conference on Cloud Computing, June 2016, 2016
Publisher: IEEE
Author(s): Christoph Trattner, Alexander Oberegger, Lukas Eberhard, Denis Parra, Leandro Marinho
Published in: ACM RecSys Workshop on Recommenders in Tourism, Vol-1685. September 2016, 2016, Page(s) 16-23
Publisher: CEUR Workshop Proceedings
DOI: 10.13140/RG.2.2.24392.11527
Author(s): S. Fiore, M. Płóciennik, C. Doutriaux, C. Palazzo, J. Boutte, T. Żok, D. Elia, M. Owsiak, A. D’Anca, Z. Shaheen, R. Bruno, M Fargetta, M. Caballer, G. Moltó, I. Blanquer, R. Barbera, M. David, G. Donvito, D. N. Williams, V. Anantharaj, D. Salomoni, and G. Aloisio
Published in: IEEE Big data 2016 Conference (Washington), December 5-9, 2016
Publisher: IEEE
Author(s): Isabelle C. Luís, Nádia P. Kozievitch, Tatiana M. C. Gadda
Published in: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Nov. 2016, 2016, Page(s) 1678-1683
Publisher: IEEE
Author(s): Ehsan Ataie, Eugenio Gianniti, Danilo Ardagna, Ali Movaghar
Published in: MICAS-SYNASC 2016 Workshops Proceedings, September 2016, 2016
Publisher: MICAS-SYNASC
Author(s): Emerson L. C. da Silva, Marcelo de Oliveira Rosa, Keiko V. O. Fonseca, Ricardo Luders, Nádia P. Kozievitch
Published in: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Nov. 2016, 2016, Page(s) 1666-1671
Publisher: IEEE
Author(s): Kozievitch, N. P.; FONSECA, K. V. O. ; GADDA, T. M. C. ; AKBAR, M.
Published in: 43th Semish - CSBC 2016, July 2016, 2016
Publisher: CSBC
Author(s): Donatello Elia, Sandro Fiore, Alessandro D'Anca, Cosimo Palazzo, Ian Foster, Dean N. Williams
Published in: Proceedings of the ACM International Conference on Computing Frontiers - CF '16, May 2016, 2016, Page(s) 424-429, ISBN 9781-450341288
Publisher: ACM Press
DOI: 10.1145/2903150.2911719
Author(s): Sergio López-Huguet,
Ignacio Blanquer
Published in: Journal of Parallel and Distributed Computing, 2018, ISSN 0743-7315
Publisher: Academic Press
Author(s): Tania Basso, Leonardo Montecchi, Regina Moraes, Mario Jino, Andrea Bondavalli
Published in: Software: Practice and Experience, 48/3, 2018, Page(s) 499-527, ISSN 0038-0644
Publisher: John Wiley & Sons Inc.
DOI: 10.1002/spe.2546
Author(s): Bigsea consortium
Published in: Special Issue on Cloud and Fog Computing for Smart Cities Data Analytics and Visualisation, 2018, ISSN 0167-739X
Publisher: Elsevier BV
Author(s): Demetrio Gomes Mestre, Carlos Eduardo Santos Pires, Dimas Cassimiro Nascimento, Andreza Raquel Monteiro de Queiroz, Veruska Borges Santos, Tiago Brasileiro Araujo
Published in: Journal of Systems and Software, 128, 2017, Page(s) 1-10, ISSN 0164-1212
Publisher: Elsevier BV
DOI: 10.1016/j.jss.2017.03.003
Author(s): Fábio Duarte, Tatiana Gadda, Carlos Augusto Moreno Luna, Fábio Teodoro Souza
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, 38, 2016, Page(s) 7-21, ISSN 1369-8478
Publisher: Pergamon Press Ltd.
DOI: 10.1016/j.trf.2015.12.013
Author(s): Enrico Barbierato, Marco Gribaudo, Mauro Iacono
Published in: Electronic Notes in Theoretical Computer Science, 327, 2016, Page(s) 5-25, ISSN 1571-0661
Publisher: Elsevier BV
DOI: 10.1016/j.entcs.2016.09.021
Author(s): Mariana Teixeira Sebastiani, Ricardo Luders, Keiko Veronica Ono Fonseca
Published in: IEEE Transactions on Intelligent Transportation Systems, 17/10, 2016, Page(s) 2777-2786, ISSN 1524-9050
Publisher: Institute of Electrical and Electronics Engineers
DOI: 10.1109/TITS.2016.2525800
Author(s): Demetrio Gomes Mestre, Carlos Eduardo Santos Pires, Dimas Cassimiro Nascimento
Published in: Journal of Parallel and Distributed Computing, 101, 2017, Page(s) 27-40, ISSN 0743-7315
Publisher: Academic Press
DOI: 10.1016/j.jpdc.2016.11.002
Author(s): Juan J. R. z Vila, Nádia P. Kozievitch, Keiko Fonseca, Marcelo O Rosa, Luiz C. Gomes-jr, Monika Akbar, Tatiana Gadda
Published in: Revista de Informática Aplicada, V.12, n. 1, 2016, 2016, ISSN 2179-2518
Publisher: USCS/UFABC
DOI: 10.13037/ras.vol12n1.145
Author(s): Enrico Barbierato, Marco Gribaudo, Mauro Iacono
Published in: Computer Performance Engineering, Vol. 9951, October 2016, 2016, Page(s) 189-203, ISBN 978-3-319-46433-6
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-46433-6_13
Author(s): Enrico Barbierato, Marco Gribaudo, Daniele Manini
Published in: Analytical and Stochastic Modelling Techniques and Applications, Vol. 9845, August 2016, 2016, Page(s) 60-75, ISBN 978-3-319-43904-4
Publisher: Springer International Publishing
DOI: 10.1007/978-3-319-43904-4_5