Lead: UPV/UFCG, R, PU. This report will include a review of the state of the art and the design of the platform architecture. Note that UPV leads both T4.1 and T7.1 (Requirement analysis).
Lead: TRUST-IT/UnB, R, PU. 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 ATMOSPHERE assets.
Lead: TRUST-IT/UnB, R, PU. This deliverable will summarise the EU Brazil joint effort initiatives in cloud computing and report a preliminary analysis of the present challenges and joint EU-Brazil research & innovation opportunities.
Lead: TRUST-IT, R, PU. This deliverable will discuss the applicable regulations and compliance frameworks, and in a more generic way analyse compliance from the perspective of conforming with existing rules, such as specifications, policies, standards or laws.
Lead: UPV/UFMG, R, PU. This report will include a prioritised list of requirement that will guide the implementation of the application. The Requirement analysis will make reference to the Ethic Management Plan defined in D1.1. Deliverable D7.1 will describe the restrictions that should be applied to data, according to D1.1. If data comes from retrospective analysis, ethical clearances and secondary usage permissions should be obtained and presented to the Ethic Adivsor, who will report the EC in the yearly reports. There will be no new data collected explicitly for the project, so no new informed consent will be needed. The project will use, as much as possible, fake personal data for the tracing of the security leakages. The requirement analysis will clearly define the boundaries of the data so it should not be used beyond the granted limits.
Lead: TRUST-IT/UnB, R, PU. Definition of target audiences, research/industry/policy information needs; event planning & attendance; media outreach; synergies with related EU & BR activities, 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.
Lead: TUD/UFAM, R, PU. Report providing an analysis of the requirements for the platform to be developed and the high level architecture that will be followed to develop it.
Lead: UNICAMP, R, PU. This deliverable will describe the monitoring platform framework design and the instruments needed to collect the data for the calculation of the trustworthiness score. Moreover, it will define the interfaces for the integration with the trustworthiness assessment facilities of the different layers of ATMOSPHERE.
Lead: UFMG/UPRC, R, PU. Design of an approach encompassing services and tools that range from the development to runtime processes, monitoring and adaptation. Specification of the development library, its functionalities and interfaces.
Lead: TRUST-IT/UnB, R, PU. Identification of user communities and stakeholders and definition of actions to engage them, serving as a guide during the entire project lifetime to convey the right message and implement the actions for the communication and promotional campaigns. It will also include the dissemination plan for project results.
Lead: UFMG/UPRC, R, PU. Report on principles and design patterns integrated in the development process of TDPSs.
Lead: QUIBIM/UFMG, R, PU. This report will describe the architecture of the application and how it will use the services of ATMOSPHERE.
Lead: POLIMI/UFMG, R, PU. Report describing the prediction models developed in T4.5. Novel hybrid machine learning models will be developed and the accuracy achieved by different combinations of analytical and machine learning methods will be investigated.
Lead: UC, R, PU. In this deliverable we will describe design the trustworthiness measurement and analysis services, including the definition of the interfaces with the different layers of the ATMOSPHERE platform.
Lead: UC, R, PU. This deliverable will describe the overall trustworthiness monitoring and assessment framework requirements focussed on the different layers of the ATMOSPHERE platform. Also, the set of metrics that characterize the trustworthiness properties as well as how to collect the data required for their calculation will be defined.
Lead: TUD/UFCG, R+P, PU. A report with the architectural and physical Design of the platform and with an analysis of the metrics to be used in trustworthiness assessment. The prototype will include the first version of basic security-aware services for building trustworthy data management systems.
Lead: TRUST-IT/UnB, R, PU. 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.
Lead: QUIBIM/UFMG, R, PU. This report will evaluate the achievement of the requirements from D7.1 and will include benchmarking and usability assessment.
Lead: QUIBIM/UFMG, P, PU. This deliverable constitutes a prototype application, including a video demo and a short report.
Lead: UC, DEM, PU. This deliverable brings a prototype of the monitoring platform, which integrates the instruments that were selected to collect the data as well as implements the interfaces to integrate the different layers of the framework.
Lead: TUD/UFAM, DEM+R, PU. A report on the final version of the platform, including the approaches for trustworthiness assurance and measurement, and the mechanisms for the platform adaptation. Final prototype implementing all the mandatory requirements defined requirements.
Lead: UC, DEM, PU. This deliverable implements a prototype of the trustworthiness measurement and analysis services. Implements, as well, the interfaces with the different layers of the ATMOSPHERE platform and integrates all the solutions.
Lead: UPV/UFCG, DEM, PU. A first prototype of the platform with the federated AAI and the common registry of services. A preliminary version of the Network virtualization as a service will also be available.
Lead: UPV/UFCG, DEM, PU. Final prototype of the platform with all the federated services, including the performance prediction service and the proactive rules.
Lead: UFCG/UPRC, R, PU. Design and implementation of descriptive & predictive data analytics algorithms (for both streaming and stored data) addressing trustworthiness (e.g. real-time log analytics) and data-intensive application challenges (e.g. health domain)
Lead: UFMG/UPRC, R, PU. Design and implementation of the development library, its ingest, annotation, search and retrieval functionalities and APIs to allow developers to obtain the corresponding primitives / assets
Lead: UNICAMP/UC, OTH, PU. Techniques for measurement (dynamic in terms of metrics) the trustworthiness of TDPS. Adaptation mechanisms for TDPS including potential chains and orchestration of TDPS
Lead: UPV/UNICAMP, OTH, PU. Report including cloud resources trustworthiness evaluation and the adaptive mechanisms set in T4.3. It will also include the implementation of the testing tools evaluating such metrics at the level of container & network resources, integrated with the WP3 trustworthiness assessment framework.
Author(s): Basso. T., Moraes R., Antunes N., Vieira M. and Regina Moraes
Published in: Brazilian Symposium on Computer Networks and Distributed Systems - SBRC 2018, Issue 19, 2018, ISSN 2595-2684
Author(s): Francisco Brasileiro, Andrey Brito, Ignacio Blanquer
Published in: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2018, Page(s) 51-52
Author(s): Gianniti E., Ardagna D., Zhang L.
Published in: 30th International Symposium on Computing Architecture and High Performance Computing, 2018
Author(s): Duarte A., Antunes N.
Published in: Latin-American Symposium on Dependable Computing (LADC 2018), 2018
Author(s): Hebert Silva, Tania Basso, Regina Moraes, Donatello Elia, Sandro Fiore
Published in: 2018 14th European Dependable Computing Conference (EDCC), 2018, Page(s) 101-106
Author(s): Claudia Morgado, Gisele Busichia Baioco, Tania Basso, Regina Moraes
Published in: 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2018, Page(s) 135-142
Author(s): Nuno Antunes, Leandro Balby, Flavio Figueiredo, Nuno Lourenco, Wagner Meira, Walter Santos
Published in: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2018, Page(s) 188-193
Author(s): Meirelles A., Barreiros W., Melo A., Meira W., Nascimento B., Nunes M., Ribeiro A., Teodoro G.
Published in: Cloudscape Brazil 2018, 2018
Author(s): Blanquer I., Brasileiro F.,
Ardagna D., Brito A.,
Calatrava A., Carvalho A.,
Diamantopoulou V., Fetzer
C., Meira W., Moraes R.,
Published in: CLOUDSCAPE Brazil 2018, 2018
Author(s): Jefferson Emanuel Caldeira Da Silva, Ricardo Santos de Oliveira, Leandro Balby Marinho, Christoph Trattner
Published in: HealthRecSys 2018, 2018, Page(s) 2-7, ISSN 1613-0073
Author(s): Campos J., Vieira M., Costa E.
Published in: Latin-American Symposium on Dependable Computing (LADC 2018), 2018, Page(s) 161-166
Author(s): Ronny Peterson, Andre Carvalho, Andre Martin, Altigran Silva, Christof Fetzer, Andrey Brito and Gabriel Fernandez
Published in: CloudCom 2019, 2019
Author(s): Basso, T., Silva, H., Moraes, R.
Published in: 15th European Dependable Computing Conference (EDCC), 2019, 2019
Author(s): Eduardo L. Falcão, Antônio A. Neto, Francisco Brasileiro and Andrey Brito
Published in: 2019
Author(s): M. Lattuada, E. Gianniti, M. Hosseini, D. Ardagna, A. Maros, F. Murai, A. P. Couto da Silva, J. M. Almeida.
Published in: 2019
Author(s): A. Jahani, M. Lattuada, M. Ciavotta, D. Ardagna, E. Amaldi, L. Zhang.
Published in: IEEE ICCCS 2019, 2019
Author(s): A. Maros, F. Murai, A. P. Couto da Silva, J. M. Almeida, M. Lattuada, E. Gianniti, M. Hosseini, D. Ardagna.
Published in: Cloud 2019, 2019
Author(s): Lucas Vieira, Adbys Vasconcelos, Ítalo Batista, Rodolfo Silva, Francisco Brasileiro
Published in: SBRC 2019 (Tools Session), 2019
Author(s): Lília Rodrigues Sampaio, Clenimar Souza, Gabriel Vinha, Andrey Brito
Published in: 2019
Author(s): A. Vasconcelos, F. Brasileiro, I. Batista, L. Vieira, R. Silva
Published in: CLOSER 2019, 2019
Author(s): Jorge Luiz da Silva, Márcio Miranda Assis, Alexandre Braga, Regina Moraes
Published in: 2019
Author(s): C. Teixeira, L. Cotta, B. Ribeiro, W. Meira
Published in: ICDM, 2019
Author(s): Basso, T., Sival, H., Montecchi, L., França, B., Moraes, R.
Published in: 2019
Author(s): Roberto C.S.N.P. Souza, Renato Assunção, Daniel B. Neill, Wagner Meira Jr.
Published in: International Society for Disease Surveillance (ISDS) Conference, 2019
Author(s): Roberto C.S.N.P. Souza, Renato Assunção, Daniel B. Neill, Luís G.S. Silva, Wagner Meira Jr.
Published in: NeurIPS Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 2019
Author(s): Roberto C.S.N.P. Souza, Saul Leite, Wagner Meira Jr., Eduardo Hruschka
Published in: International Conference on Machine Learning and Applications, 2019
Author(s): Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto
Published in: IEEE International Conference on Machine Learning and Applications - ICMLA, 2019
Author(s): Flavio Figueiredo, Guilherme Borges, Pedro O. S. Vaz de Melo, Renato M. Assunção
Published in: Neural Information Processing Systems (NIPS), 2019
Author(s): Vinicius DIas, Carlos H. C. Teixeira, Dorgival Guedes, Wagner Meira, Srinivasan Parthasarathy
Published in: Proceeding of the SIGMOD, 2019
Author(s): Felipe Giori, Flavio Figueiredo, Guilherme dos Santos, Fabrício Benevenuto, Jussara M. Almeida
Published in: Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), 2019
Author(s): Flavio Figueiredo and Nazareno Andrade
Published in: LatinX-AI Workshop held in conjunction with NeuRIPS2019, 2019
Author(s): Roberto C.S.N.P. Souza, Renato M. Assuncao, Daniel B. Neill, and Wagner Meira Jr.
Published in: 27th ACM SIGSPATIAL Intl. Conf. on Advances in Geographic Information Systems, 2019
Author(s): Jorge Luiz da Silva; Alexandre Braga; Cecília Rubira; Ricardo Dahab
Published in: XIX Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2019), 2019
Author(s): BASSO, T.; SILVA, H. ; MORAES, R
Published in: 11th International Workshop on Software Engineering for Resilient Systems (SERENE), 2019
Author(s): Ponce, L.M., Santos, Daniele Lezzi, Rosa M. Badia and Dorgival Guedes
Published in: International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019
Author(s): Flavio Figueiredo and Nazareno Andrade
Published in: International Symposium for Music Information Retrieval (ISMIR), 2019
Author(s): Roberto C.S.N.P. Souza, Renato M. Assunção, Derick M. Oliveira, Daniel B. Neill, Wagner Meira Jr.
Published in: Journal Spatial and Spatio-temporal Epidemiology, 2019, ISSN 1877-5845
Author(s): I. Blanquer, A. Calatrava C. Fetzer, A. Alberich-Bayarri, E. Camacho-Ramos, A. Jimenez-Pastor, F. Brasileiro, A. Brito, A. Carvalho, F. Figueiredo, R. P. Guimaraes, L. Marinho, W. Meira Jr., A. Silva, A. Pinho-Ribeiro, F. Silva
Published in: Journal Future Generation Computer Systems, special issue LIFE2019, 2019, ISSN 0167-739X
Author(s): P. Silva, T. Basso, N. Antunes, R. Moraes, M. Vieira, P. Simões, E. Monteiro
Published in: IEEE Security & Privacy, 2019, ISSN 1540-7993
Author(s): A. Braga, R. Dahab, N. Antunes, N. Laranjeiro and M. Vieira,
Published in: IEEE Transactions on Reliability, 2019, ISSN 0018-9529
Author(s): Karen B. Enes, Pedro P. V. Brum, Tiago O. Cunha, Fabricio Murai, Ana Paula Couto da Silva, Gisele L. Pappa
Published in: Web Intelligence, 2019, ISSN 2405-6456
Author(s): Ponce, L.M., Santos, W.d., Meira, W. et al.
Published in: Journal of Internet Services and Applications, 2019, ISSN 1867-4828
Author(s): Roberto C.S.N.P. Souza, Derick Oliveira, Denise Brito, Renato M. Assuncao and Wagner Meira Jr.
Published in: Spatial Algorithms and Systems (TSAS), 2019, ISSN 2374-0361