EUBra-BIGSEA: Europe – Brazil Collaboration of BIG Data Scientific Research through Cloud-Centric Applications
Scope
International
Research Group
coordinator
Synopsis
EUrope-BRAzil Collaboration on BIG Data Scientific REsearch through Cloud-Centric Applications aims at providing services in the cloud for the processing of massive data coming from highly connected societies, which impose multiple challenges on resource provision, performance, Quality of Service and privacy. Processing those data require rapidly provisioned infrastructures customised to Big Data requirements. The three main aims of the project are: - The development of innovative Big Data services for capturing, federating and annotating on the order of PB of data on top of efficient programming models. Despite that MapReduce is a successful model in BigData (with a high impact on massive Geo-spatial and textual data), it has many limitations specially when dealing with real-time transactions or streamed data, the proposal would aim to introduce innovative evolutions on the capture, federation & annotation experience it can bring to the table with its partners. - The Development of advanced cloud services to support Big Data. This cloud services will address three main challenges: a) the advance on SLAs to support privacy (boundaries of protected data to be moved) and performance restrictions (convenience of moving data to computing resources or vice-versa); b) Quality of Service (vertical and horizontal elastic adjustment of resources allocates to meet deadlines and dynamic adjustment of workloads); and c) Business models (price-based dynamic re-scheduling of data searching for the best usage of resources invested). - The demonstration of such services on applications with high social and business impact, addressing main scenarios of high interest for both Europe and Brazil.
Funding
European Commission; Brazilian Ministry of Science, Technology, and Innovation
Total budget
€ 3 000 000.00
Keywords
Cloud Computing, Security, Big Data
Start Date
2016-01-01
Partners
UPV (EU Coordinator, ES), BSC (ES), CMCC (IT), TRUST-IT (UK), UC (PT), Politecnico di Milano (IT), UFMG (Brazilian Coordinator), UFCG (BR), UTFPR (BR), IBM Research (BR), UNICAMP (BR)
CISUC budget
€ 213 250.00
End Date
2017-12-31
Publications
2020
P. G. Silva, "CONTRIBUTIONS TO PERSONAL DATA PROTECTION AND PRIVACY PRESERVATION IN CLOUD ENVIRONMENTS", Ph.D. Dissertation, University of Coimbra, 2020
2019
A. S. Alic and J. Almeida and G. Aloisio and N. Andrade and N. Antunes and D. Ardagna and R. M. Badia and T. Basso and I. Blanquer and T. Braz and A. Brito and D. Elia and S. Fiore and D. Guedes and M. Lattuada and D. Lezzi and M. Maciel and W. M. Jr and D. Mestre and R. Moraes and F. Morais and C. E. Pires and N. P. Kozievitchi and W. d. Santos and P. G. Silva and M. Vieira, "BIGSEA: A Big Data analytics platform for public transportation information", Future Generation Computer Systems, 2019
2018
P. G. Silva and E. Monteiro and L. Kencl, "Data Privacy Protection - Concealing Text and Audio with a DNA-inspired Algorithm", in 12th International Conference on Autonomous Infrastructure, Management and Security 2018, 2018
P. G. Silva and T. Basso and N. Antunes and R. Moraes and M. Vieira and P. Simões and E. Monteiro, "A Europe-Brazil Context for Secure Data Analytics in the Cloud", IEEE Security & Privacy, vol. 16, no. 6, pp. 52-60, 2018
A. S. Alic and J. Almeida and W. M. Jr and D. Guedes and W. d. Santos and I. Blanquer and S. Fiore and N. P. Kozievitchi and N. Andrade and T. Braz and A. Brito and C. E. Pires and N. Antunes and M. Vieira and P. G. Silva and D. Ardagna and K. Fonseca and D. Lezzi and D. Elia and R. Moraes and T. Basso and W. H. Cavassin, "GIS and Data: Three applications to enhance Mobility", in GeoInfo 2018, 2018
2017
F. Cerveira and R. Barbosa and H. Madeira, "Soft Errors Susceptibility of Virtualization Servers", in 22nd IEEE Pacific Rim International Symposium on Dependable Computing (PRDC 2017), 2017
F. Cerveira and R. Barbosa and H. Madeira, "On the Emulation of Vulnerabilities through Software Fault Injection", in European Dependable Computing Conferece (EDCC), 2017
A. Fonseca and F. Cerveira and B. Cabral and R. Barbosa, "Language-based expression of reliability and parallelism for low-power computing", IEEE Transactions on Sustainable Computing, 2017
2016