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EUrope-BRAzil Collaboration on BIG Data Scientific REsearch through Cloud-Centric Applications

Deliverables

Requirements and Coordinated Security Strategy.

"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."

QoS Monitoring System Architecture

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.

Assets, Market Analysis & Stakeholder Synergy Plan.

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.

Report about the final implementation of the integrated big and fast data eco-system

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.

Design of the integrated big and fast data eco-system

This deliverable will report about the design of the big and fast data eco-system.

Communication strategy and web platform development

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.

End-User Requirements Elicitation.

This report will include a prioritized list of requirements that will guide the implementation of the different services in WP3, WP4, WP5 and WP6.

AAA provisioning services and mechanisms.

Describes the protocols and presents the services that implement the AAA mechanisms.

Big Data Application Performance models and run-time Optimization Policies

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.

Methodologies for trustworthiness estimation.

Presents the methodologies for estimating the trustworthiness of the infrastructure based on the assessment results.

Final Research & Innovation Action Plan report

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.

Data Quality-aware Service (DQaS) Architecture

This deliverables provides a specification and implementation of the DQaS Architecture as well as the MapReduce-based Entity Matching approaches.

EUBra-BIGSEA software architecture

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.

Validation of the Requirements.

This report will include the process and outcome of the validation of the requirements, expressed by the users of the services (application developers).

Final report on user communities engagement

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.

Business & Exploitation Plan

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.

Preliminary Action Plan report

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.

Programming abstractions design

First version of the design of the software components developed in this WP and their integration in the project architecture.

User communities engagement and dissemination strategy

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.

Report on programming abstractions

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.

BigSea QoS infrastructure services intermediate version

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.

Toolbox for GES³ Data initial release.

The deliverable is a toolbox that comprises techniques that support the characterization methodology adopted in the project.

Techniques and tools to assess the security of Cloud and Data Services.

Describes the techniques and tools to assess the security of the components of the infrastructure.

BigSea QoS infrastructure services final version

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.

BigSea QoS infrastructure services initial version

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.

Toolbox for GES³ Data second release.

The deliverable is a toolbox that comprises techniques that support the characterization methodology adopted in the project.

Mechanisms for protecting Data Privacy.

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.

GES³ Data Integration.

Software and data that implement the various data integration techniques from Task T7.1.

Routes for people application.

The deliverable is a running application that is accessible through the internet and materializes the Routes for People use case described in T7.5.

QoS extensions for the big and fast data eco-system

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.

Security and privacy extensions 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

Caracterização do Serviço de Táxi a partir de Corridas Solicitadas por um Aplicativo de Smartphone

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), Issue May-June/2016, 2016

Diagnosing Performance Bottlenecks in Massive Data Parallel Programs

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), Issue May/2016, 2016

PRIVA: a policy-based anonymization library for cloud and big data platform

Author(s): FERREIRA, A. ; BASSO, T. ; SILVA, H. ; MORAES, R.
Published in: XVIII Workshop de Testes e Tolerância a Falhas (WTF 2017), 2017

Evaluating the impact of privacy preserving on data mining: how data anonymization affects classification algorithms results

Author(s): Tania Basso, Hebert Silva, Regina Moraes
Published in: 2018

Lemonade: A Scalable and Efficient Spark-Based Platform for Data Analytics

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
DOI: 10.1109/CCGRID.2017.142

Scalable analytical model of the reliability of multi-core systems-on-chip by interacting Markovian agents

Author(s): Andrea Bobbio, Cristiana Bolchini, Davide Cerotti, Marco Gribaudo, Antonio Miele
Published in: 2017

Transparent Execution of Task-Based Parallel Applications in Docker with COMP Superscalar

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
DOI: 10.1109/PDP.2017.26

A Characterization of Load Balancing on the IPv6 Internet

Author(s): Rafael Almeida, Osvaldo Fonseca, Elverton Fazzion, Dorgival Guedes, Wagner Meira, Ítalo Cunha
Published in: 2017, Page(s) 242-254
DOI: 10.1007/978-3-319-54328-4_18

Towards an Ontology-Based definition of Data Anonymization Policy for Cloud Computing and Big Data.

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

Towards Reliable Data Analyses for Smart Cities

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
DOI: 10.1145/3105831.3105834

A Re-identification Risk-based Anonymization Framework for Data Analytics Platforms

Author(s): Hebert Silva, Tania Basso, Regina Moraes, Donatello Elia, Cosimo Palazzo, Sandro Fiore, Giovanni Aloisio
Published in: 2018

Automatic Consolidation of Virtual Machines in On-premises Cloud Platforms

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
DOI: 10.1109/CCGRID.2017.128

A Game-Theoretic Approach for Runtime Capacity Allocation in MapReduce

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
DOI: 10.1109/CCGRID.2017.135

On the Use of In-memory Analytics Workflows to Compute eScience Indicators from Large Climate Datasets

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
DOI: 10.1109/CCGRID.2017.132

A Security Model for Access Control in Graph-Oriented Databases

Author(s): Claudia Morgado, Gisele Busichia Baioco, Tania Basso, Regina Moraes
Published in: 2018

Transparent Orchestration of Task-based Parallel Applications in Containers Platforms

Author(s): Cristian Ramon-Cortes, Albert Serven, Jorge Ejarque, Daniele Lezzi, Rosa M. Badia
Published in: 2018

PRIVAaaS: Privacy Approach for a Distributed Cloud-Based Data Analytics Platforms

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
DOI: 10.1109/CCGRID.2017.136

Performance Degradation and Cost Impact Evaluation of Privacy Preserving Mechanisms in Big Data Systems

Author(s): Safia Kalwar, Eugenio Gianniti, Joas Yannick Kinouani, Youssef Ridene, Danilo Ardagna
Published in: 2018

Testing Web Applications Using Poor Quality Data

Author(s): Nuno Laranjeiro, Seyma Nur Soydemir, Jorge Bernardino
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), Issue October 19-21, 2016, 2016, Page(s) 139-144
DOI: 10.1109/LADC.2016.30

Analyzing the Acoustic Urban Environment - A Geofencing-centered Approach in the Curitiba Metropolitan Region, Brazil

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, Issue Vol. 1, April 2016, 2016, Page(s) 78-85
DOI: 10.5220/0005840500780085

Challenges on Anonymity, Privacy, and Big Data

Author(s): Tania Basso, Roberta Matsunaga, Regina Moraes, Nuno Antunes
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), Issue October 20, 2016, 2016, Page(s) 164-171
DOI: 10.1109/LADC.2016.34

Experimenting Machine Learning Techniques to Predict Vulnerabilities

Author(s): Henrique Alves, Baldoino Fonseca, Nuno Antunes
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), Issue October 19-21, 2016, 2016, Page(s) 151-156
DOI: 10.1109/LADC.2016.32

Towards Understanding the Value of False Positives in Static Code Analysis

Author(s): Carlo Dimastrogiovanni, Nuno Laranjeiro
Published in: 2016 Seventh Latin-American Symposium on Dependable Computing (LADC), Issue October 19-21, 2016, 2016, Page(s) 119-122
DOI: 10.1109/LADC.2016.25

Experimental Assessment of NoSQL Databases Dependability

Author(s): Luis Ventura, Nuno Antunes
Published in: 2016 12th European Dependable Computing Conference (EDCC), Issue September 5-9, 2016, 2016, Page(s) 161-168
DOI: 10.1109/EDCC.2016.30

An Alternative and Smarter Route Planner for Wheelchair Users - Exploring Open Data

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, Issue Vol. 1, April 2016, 2016, Page(s) 94-99
DOI: 10.5220/0005878800940099

Fluid Petri Nets for the Performance Evaluation of MapReduce Applications

Author(s): Eugenio Gianniti, Alessandro Maria Rizzi, Enrico Barbierato, Marco Gribaudo, Danilo Ardagna
Published in: InfQ 2016 - New Frontiers in Quantitative Methods in Informatics, Issue October 2016, 2016

Previsão de horários dos ônibus do sistema de transporte público coletivo da cidade de Campina Grande

Author(s): Matheus Maciel, Nazareno Andrade, Leandro Marinho and Helder Carlos
Published in: 4th Symposium on Knowledge Discovery, Mining and Learning (KDMILE 2016), Issue October 2016, 2016

Shortcut Suggestion based on Collaborative User Feedback for Suitable Wheelchair Route Planning.

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), Issue Nov. 2016, 2016, Page(s) 2372-2377

Stage Aware Performance Modeling of DAG Based in Memory Analytic Platforms

Author(s): Giovanni Paolo Gibilisco, Min Li, Li Zhang, Danilo Ardagna
Published in: Proceedings of the 8th IEEE International Conference on Cloud Computing, Issue June 2016, 2016

Understanding the Impact of Weather for POI Recommendations

Author(s): Christoph Trattner, Alexander Oberegger, Lukas Eberhard, Denis Parra, Leandro Marinho
Published in: ACM RecSys Workshop on Recommenders in Tourism, Issue Vol-1685. September 2016, 2016, Page(s) 16-23
DOI: 10.13140/RG.2.2.24392.11527

Distributed and cloud-based multi-model analytics experiments on large volumes of climate change data in the Earth System Grid Federation eco-system

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), Issue December 5-9, 2016

Trafc Accident Diagnosis in the last decade - A case study

Author(s): Isabelle C. Luís, Nádia P. Kozievitch, Tatiana M. C. Gadda
Published in: IEEE 19th International Conference on Intelligent Transportation Systems (ITSC 2016), Issue Nov. 2016, 2016, Page(s) 1678-1683

A Combined Analytical Modeling Machine Learning Approach for Performance Prediction of MapReduce Jobs in Hadoop Clusters

Author(s): Ehsan Ataie, Eugenio Gianniti, Danilo Ardagna, Ali Movaghar
Published in: MICAS-SYNASC 2016 Workshops Proceedings, Issue September 2016, 2016

Combining K-means Method and Complex Network Analysis to Evaluate City Mobility.

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), Issue Nov. 2016, 2016, Page(s) 1666-1671

Exploratory Analysis of Public Transportation Data in Curitiba

Author(s): Kozievitch, N. P.; FONSECA, K. V. O. ; GADDA, T. M. C. ; AKBAR, M.
Published in: 43th Semish - CSBC 2016, Issue July 2016, 2016

An in-memory based framework for scientific data analytics

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, Issue May 2016, 2016, Page(s) 424-429
DOI: 10.1145/2903150.2911719

Vertical elasticity on Marathon and Chronos frameworks

Author(s): Sergio López-Huguet, Ignacio Blanquer
Published in: Journal of Parallel and Distributed Computing, 2018, ISSN 0743-7315

PrivAPP: An integrated approach for the design of privacy-aware applications

Author(s): Tania Basso, Leonardo Montecchi, Regina Moraes, Mario Jino, Andrea Bondavalli
Published in: Software: Practice and Experience, Issue 48/3, 2018, Page(s) 499-527, ISSN 0038-0644
DOI: 10.1002/spe.2546

BIGSEA: A Big Data analytics platform for public transportation information

Author(s): Bigsea consortium
Published in: Special Issue on Cloud and Fog Computing for Smart Cities Data Analytics and Visualisation, 2018, ISSN 0167-739X

An efficient spark-based adaptive windowing for entity matching

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, Issue 128, 2017, Page(s) 1-10, ISSN 0164-1212
DOI: 10.1016/j.jss.2017.03.003

What to expect from the future leaders of Bogotá and Curitiba in terms of public transport: Opinions and practices among university students

Author(s): Fábio Duarte, Tatiana Gadda, Carlos Augusto Moreno Luna, Fábio Teodoro Souza
Published in: Transportation Research Part F: Traffic Psychology and Behaviour, Issue 38, 2016, Page(s) 7-21, ISSN 1369-8478
DOI: 10.1016/j.trf.2015.12.013

Modeling Hybrid Systems in SIMTHESys

Author(s): Enrico Barbierato, Marco Gribaudo, Mauro Iacono
Published in: Electronic Notes in Theoretical Computer Science, Issue 327, 2016, Page(s) 5-25, ISSN 1571-0661
DOI: 10.1016/j.entcs.2016.09.021

Evaluating Electric Bus Operation for a Real-World BRT Public Transportation Using Simulation Optimization

Author(s): Mariana Teixeira Sebastiani, Ricardo Luders, Keiko Veronica Ono Fonseca
Published in: IEEE Transactions on Intelligent Transportation Systems, Issue 17/10, 2016, Page(s) 2777-2786, ISSN 1524-9050
DOI: 10.1109/TITS.2016.2525800

Towards the efficient parallelization of multi-pass adaptive blocking for entity matching

Author(s): Demetrio Gomes Mestre, Carlos Eduardo Santos Pires, Dimas Cassimiro Nascimento
Published in: Journal of Parallel and Distributed Computing, Issue 101, 2017, Page(s) 27-40, ISSN 0743-7315
DOI: 10.1016/j.jpdc.2016.11.002

Urban Mobility Challenges – An Exploratory Analysis of Public Transportation Data in Curitiba

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, Issue V.12, n. 1, 2016, 2016, ISSN 2179-2518
DOI: 10.13037/ras.vol12n1.145

Simulating Hybrid Systems Within SIMTHESys Multi-formalism Models

Author(s): Enrico Barbierato, Marco Gribaudo, Mauro Iacono
Published in: Computer Performance Engineering, Issue Vol. 9951, October 2016, 2016, Page(s) 189-203
DOI: 10.1007/978-3-319-46433-6_13

Fluid Approximation of Pool Depletion Systems

Author(s): Enrico Barbierato, Marco Gribaudo, Daniele Manini
Published in: Analytical and Stochastic Modelling Techniques and Applications, Issue Vol. 9845, August 2016, 2016, Page(s) 60-75
DOI: 10.1007/978-3-319-43904-4_5