Adaptive, Trustworthy, Manageable, Orchestrated, Secure, Privacy-assuring, Hybrid Ecosystem for REsilient Cloud Computing

Risultati finali

Design of the Federated and Hybrid microcontainer-based platform

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).

Final report on user communities engagement

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.

Preliminary Research Priorities Report

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.

Compliance with Regulations Reqs. for the ATMOSPHERE

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.

Requirement Analysis

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.

Communication strategy and web platform development

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.

Requirements for the Distributed Trustworthy Data Management Platform.

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.

Monitoring Instruments and Platform Design

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.

Specification of a holistic TDPS approach

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.

User communities engagement

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.

Principles and practices for the development of TDPSs

Lead: UFMG/UPRC, R, PU. Report on principles and design patterns integrated in the development process of TDPSs.

Design of the Biomarker Pilot Application

Lead: QUIBIM/UFMG, R, PU. This report will describe the architecture of the application and how it will use the services of ATMOSPHERE.

Performance Models

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.

Trustworthiness Measurement and Analysis Services Design

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.

Trustworthiness Framework and Metrics Design

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.

Preliminary Distributed Trustworthy Data Management Platform

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.

Final Research & Innovation Research Priorities Report

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.

Platform Validation Report

Lead: QUIBIM/UFMG, R, PU. This report will evaluate the achievement of the requirements from D7.1 and will include benchmarking and usability assessment.

Biomarker Pilot Application demonstrator

Lead: QUIBIM/UFMG, P, PU. This deliverable constitutes a prototype application, including a video demo and a short report.

Monitoring Instruments and Platform Implementation

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.

Final Distributed Trustworthy Data Management Platform

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.

Trustworthiness Measurement and Analysis Services Implementation

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.

First version of the Platform

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.

Second version of the Platform

Lead: UPV/UFCG, DEM, PU. Final prototype of the platform with all the federated services, including the performance prediction service and the proactive rules.

Data analytics techniques

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)

TDPS development library

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

Trustworthiness Measurement and Adaptation for TDPS

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

Metrics for the assessment of Trustworthiness at Cloud Services Level

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.

Pubblicazioni

Privacy-Awareness in Web Applications and Services: a Research Roadmap

Autori: Basso. T., Moraes R., Antunes N., Vieira M. and Regina Moraes
Pubblicato in: Brazilian Symposium on Computer Networks and Distributed Systems - SBRC 2018, Numero 19, 2018, ISSN 2595-2684
Editore: SBRC

ATMOSPHERE: Adaptive, Trustworthy, Manageable, Orchestrated, Secure, Privacy-Assuring, Hybrid Ecosystem for REsilient Cloud Computing

Autori: Francisco Brasileiro, Andrey Brito, Ignacio Blanquer
Pubblicato in: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2018, Pagina/e 51-52, ISBN 978-1-5386-6553-4
Editore: IEEE
DOI: 10.1109/DSN-W.2018.00025

Performance Prediction of GPU-based Deep Learning Applications

Autori: Gianniti E., Ardagna D., Zhang L.
Pubblicato in: 30th International Symposium on Computing Architecture and High Performance Computing, 2018
Editore: IEEE

An Empirical Study of Docker Vulnerabilities and of Static Code Analysis Applicability

Autori: Duarte A., Antunes N.
Pubblicato in: Latin-American Symposium on Dependable Computing (LADC 2018), 2018, ISBN 978-1-5386-8489-4
Editore: IEEE

A Re-Identification Risk-Based Anonymization Framework for Data Analytics Platforms

Autori: Hebert Silva, Tania Basso, Regina Moraes, Donatello Elia, Sandro Fiore
Pubblicato in: 2018 14th European Dependable Computing Conference (EDCC), 2018, Pagina/e 101-106, ISBN 978-1-5386-8060-5
Editore: IEEE
DOI: 10.1109/EDCC.2018.00026

A Security Model for Access Control in Graph-Oriented Databases

Autori: Claudia Morgado, Gisele Busichia Baioco, Tania Basso, Regina Moraes
Pubblicato in: 2018 IEEE International Conference on Software Quality, Reliability and Security (QRS), 2018, Pagina/e 135-142, ISBN 978-1-5386-7757-5
Editore: IEEE
DOI: 10.1109/QRS.2018.00027

Fairness and Transparency of Machine Learning for Trustworthy Cloud Services

Autori: Nuno Antunes, Leandro Balby, Flavio Figueiredo, Nuno Lourenco, Wagner Meira, Walter Santos
Pubblicato in: 2018 48th Annual IEEE/IFIP International Conference on Dependable Systems and Networks Workshops (DSN-W), 2018, Pagina/e 188-193, ISBN 978-1-5386-6553-4
Editore: IEEE
DOI: 10.1109/DSN-W.2018.00063

A Rheumatic Heart Disease Classifier Based on Echocardiographic Data

Autori: Meirelles A., Barreiros W., Melo A., Meira W., Nascimento B., Nunes M., Ribeiro A., Teodoro G.
Pubblicato in: Cloudscape Brazil 2018, 2018
Editore: AMTOSPHERE

How much can I trust my cloud services?

Autori: Blanquer I., Brasileiro F., Ardagna D., Brito A., Calatrava A., Carvalho A., Diamantopoulou V., Fetzer C., Meira W., Moraes R., Vieira M.
Pubblicato in: CLOUDSCAPE Brazil 2018, 2018
Editore: ATMOSPHERE

Healthy Menus Recommendation: Optimizing the Use of the Pantry

Autori: Jefferson Emanuel Caldeira Da Silva, Ricardo Santos de Oliveira, Leandro Balby Marinho, Christoph Trattner
Pubblicato in: HealthRecSys 2018, 2018, Pagina/e 2-7, ISSN 1613-0073
Editore: CEUR

Exploratory Study of Machine Learning Techniques for Supporting Failure Prediction

Autori: Campos J., Vieira M., Costa E.
Pubblicato in: Latin-American Symposium on Dependable Computing (LADC 2018), 2018, Pagina/e 161-166, ISBN 978-1-5386-8489-4
Editore: IEEE

Vallum: Privacy, Confidentiality and Access Control for Sensitive Data in Cloud Environments

Autori: Ronny Peterson, Andre Carvalho, Andre Martin, Altigran Silva, Christof Fetzer, Andrey Brito and Gabriel Fernandez
Pubblicato in: CloudCom 2019, 2019
Editore: IEEE

On the Use of Quality Models to Characterize Trustworthiness Properties

Autori: Basso, T., Silva, H., Moraes, R.
Pubblicato in: 15th European Dependable Computing Conference (EDCC), 2019, 2019
Editore: -

On the Impacts of Transitive Indirect Reciprocity on P2P Cloud Federations

Autori: Eduardo L. Falcão, Antônio A. Neto, Francisco Brasileiro and Andrey Brito
Pubblicato in: 2019
Editore: IEEE

Gray-Box Models for Performance Assessment of Spark Applications.

Autori: M. Lattuada, E. Gianniti, M. Hosseini, D. Ardagna, A. Maros, F. Murai, A. P. Couto da Silva, J. M. Almeida.
Pubblicato in: 2019
Editore: IEEE

Optimizing on-demand GPUs in the Cloud for Deep Learning Applications Training.

Autori: A. Jahani, M. Lattuada, M. Ciavotta, D. Ardagna, E. Amaldi, L. Zhang.
Pubblicato in: IEEE ICCCS 2019, 2019
Editore: IEEE

Machine Learning for Performance Prediction of Spark Cloud Applications.

Autori: A. Maros, F. Murai, A. P. Couto da Silva, J. M. Almeida, M. Lattuada, E. Gianniti, M. Hosseini, D. Ardagna.
Pubblicato in: Cloud 2019, 2019
Editore: IEEE

DisOpenFaaS: A Distributed Function-as-a-Service Platform

Autori: Lucas Vieira, Adbys Vasconcelos, Ítalo Batista, Rodolfo Silva, Francisco Brasileiro
Pubblicato in: SBRC 2019 (Tools Session), 2019
Editore: -

Asperathos: Running QoS-Aware Sensitive Batch Applications with Intel SGX

Autori: Lília Rodrigues Sampaio, Clenimar Souza, Gabriel Vinha, Andrey Brito
Pubblicato in: 2019
Editore: -

Distributed FaaS: Execution of Containerized Serverless Applications in Multi-Cloud Infrastructures

Autori: A. Vasconcelos, F. Brasileiro, I. Batista, L. Vieira, R. Silva
Pubblicato in: CLOSER 2019, 2019
Editore: IEEE

Deploying Privacy as a Service within a Cloud-Based Framework

Autori: Jorge Luiz da Silva, Márcio Miranda Assis, Alexandre Braga, Regina Moraes
Pubblicato in: 2019
Editore: LADC 2019

Graph Pattern Mining and Learning through User-defined Relations

Autori: C. Teixeira, L. Cotta, B. Ribeiro, W. Meira
Pubblicato in: ICDM, 2019
Editore: -

Towards Trustworthy Cloud Service Selection: Monitoring and Assessing Data Privacy.

Autori: Basso, T., Sival, H., Montecchi, L., França, B., Moraes, R.
Pubblicato in: 2019
Editore: -

Identifying High-Risk Areas for Dengue Infection Using Mobility Patterns on Twitter

Autori: Roberto C.S.N.P. Souza, Renato Assunção, Daniel B. Neill, Wagner Meira Jr.
Pubblicato in: International Society for Disease Surveillance (ISDS) Conference, 2019
Editore: -

Spatial Risk Modeling for Infectious Disease Surveillance Using Population Movement Data

Autori: Roberto C.S.N.P. Souza, Renato Assunção, Daniel B. Neill, Luís G.S. Silva, Wagner Meira Jr.
Pubblicato in: NeurIPS Workshop on Modeling and Decision-Making in the Spatiotemporal Domain, 2019
Editore: -

Online Orthogonal Regression Based on a Regularized Squared Loss

Autori: Roberto C.S.N.P. Souza, Saul Leite, Wagner Meira Jr., Eduardo Hruschka
Pubblicato in: International Conference on Machine Learning and Applications, 2019
Editore: IEEE

An Approximative Bayes-optimal Kernel Classifierbased on Version Space Reduction

Autori: Karen Braga Enes, Saulo Moraes Villela, Gisele Lobo Pappa, Raul Fonseca Neto
Pubblicato in: IEEE International Conference on Machine Learning and Applications - ICMLA, 2019
Editore: IEEE

Fast Estimation of Causal Interactions using Wold Processes

Autori: Flavio Figueiredo, Guilherme Borges, Pedro O. S. Vaz de Melo, Renato M. Assunção
Pubblicato in: Neural Information Processing Systems (NIPS), 2019
Editore: IEEE

Fractal: A General-Purpose Graph Pattern Mining System

Autori: Vinicius DIas, Carlos H. C. Teixeira, Dorgival Guedes, Wagner Meira, Srinivasan Parthasarathy
Pubblicato in: Proceeding of the SIGMOD, 2019
Editore: Proceeding of the SIGMOD

Analisando o uso de uma grande rede de streaming de vídeos na divulgação de conteúdo político.

Autori: Felipe Giori, Flavio Figueiredo, Guilherme dos Santos, Fabrício Benevenuto, Jussara M. Almeida
Pubblicato in: Simpósio Brasileiro de Redes de Computadores e Sistemas Distribuídos (SBRC), 2019
Editore: SBRC

Understanding Algorithmic Fairness in Health Care: A Proposed Case Study with Three Datasets

Autori: Flavio Figueiredo and Nazareno Andrade
Pubblicato in: LatinX-AI Workshop held in conjunction with NeuRIPS2019, 2019
Editore: NeuRIPS2019

Detecting spatial clusters of disease infection risk using sparsely sampled social media mobility patterns.

Autori: Roberto C.S.N.P. Souza, Renato M. Assuncao, Daniel B. Neill, and Wagner Meira Jr.
Pubblicato in: 27th ACM SIGSPATIAL Intl. Conf. on Advances in Geographic Information Systems, 2019
Editore: -

An Approach for Adaptive Security of Cloud Applications within the ATMOSPHERE Platform

Autori: Jorge Luiz da Silva; Alexandre Braga; Cecília Rubira; Ricardo Dahab
Pubblicato in: XIX Simpósio Brasileiro de Segurança da Informação e de Sistemas Computacionais (SBSeg 2019), 2019
Editore: -

On the Use of Quality Models to Characterize Trustworthiness Properties

Autori: BASSO, T.; SILVA, H. ; MORAES, R
Pubblicato in: 11th International Workshop on Software Engineering for Resilient Systems (SERENE), 2019
Editore: IEEE

Extension of a Task-based model to Functional programming - International Symposium on Computer Architecture and High Performance Computing

Autori: Ponce, L.M., Santos, Daniele Lezzi, Rosa M. Badia and Dorgival Guedes
Pubblicato in: International Symposium on Computer Architecture and High Performance Computing (SBAC-PAD), 2019
Editore: -

Quantifying Disruptive Influence in the AllMusic Guide

Autori: Flavio Figueiredo and Nazareno Andrade
Pubblicato in: International Symposium for Music Information Retrieval (ISMIR), 2019
Editore: -

Where did I get dengue? Detecting spatial clusters of infection risk with social network data

Autori: Roberto C.S.N.P. Souza, Renato M. Assunção, Derick M. Oliveira, Daniel B. Neill, Wagner Meira Jr.
Pubblicato in: Journal Spatial and Spatio-temporal Epidemiology, 2019, ISSN 1877-5845
Editore: Elsevier BV

Trustworthy cloud services for automatic classification of echo-cardio images on an intercontinental infrastructure.

Autori: 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
Pubblicato in: Journal Future Generation Computer Systems, special issue LIFE2019, 2019, ISSN 0167-739X
Editore: Elsevier BV

A Europe–Brazil Context for Secure Data Analytics in the Cloud

Autori: P. Silva, T. Basso, N. Antunes, R. Moraes, M. Vieira, P. Simões, E. Monteiro
Pubblicato in: IEEE Security & Privacy, 2019, ISSN 1540-7993
Editore: IEEE Computer Society

Understanding How to Use Static Analysis Tools for Detecting Cryptography Misuse in Software

Autori: A. Braga, R. Dahab, N. Antunes, N. Laranjeiro and M. Vieira,
Pubblicato in: IEEE Transactions on Reliability, 2019, ISSN 0018-9529
Editore: Institute of Electrical and Electronics Engineers

Reddit weight loss communities: do they have whatit takes for effective health interventions?

Autori: Karen B. Enes, Pedro P. V. Brum, Tiago O. Cunha, Fabricio Murai, Ana Paula Couto da Silva, Gisele L. Pappa
Pubblicato in: Web Intelligence, 2019, ISSN 2405-6456
Editore: IOS PRESS

Upgrading a high performance computing environment for massive data processing

Autori: Ponce, L.M., Santos, W.d., Meira, W. et al.
Pubblicato in: Journal of Internet Services and Applications, 2019, ISSN 1867-4828
Editore: Springer Verlag

Space Time Drift Point Detection in Mobility Patterns

Autori: Roberto C.S.N.P. Souza, Derick Oliveira, Denise Brito, Renato M. Assuncao and Wagner Meira Jr.
Pubblicato in: Spatial Algorithms and Systems (TSAS), 2019, ISSN 2374-0361
Editore: ACM Digital Library

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Pubblicazioni

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