Research Projects
The following projects represent other current initiatives that have the participation of multiple partners of the DEVASSES project.
 CECRIS - Certification of Critical Systems
Jan 2013 - Dec 2016 www.cecris-project.eu |
The CECRIS project is a Marie-Curie Industry-Academia Partnerships and Pathways (IAPP) belonging to call FP7-PEOPLE-2012-IAPP. The project aims at taking a step forward in development, verification and validation and certification of critical systems by supporting the introduction of novel state-of-the art methods with a special emphasis on technology and human skill development at SMEs Researchers.
Partners:
|
|
|
|
 Europe - Brazil Collaboration of BIG Data Scientific REsearch through Cloud-Centric Applications
Jan 2016 - Dec 2017 www.eubra-bigsea.eu |
The EUBra-BIGSEA project is a collaboration in the context of H2020 - EUB-1-2015 topic “Cloud Computing, including security aspects”, whose main aim is to create a sustainable international (European and Brazilian) cooperation activity in the area of cloud services for Big Data analytics. EUBra-BIGSEA starts from the requirements of a scenario with high social and business relevance: the processing and analysis of huge quantities of data from massively connected societies. Cloud services are used to address the needs of such Big Data scenario but multiple challenges, dealing with resource provision, performance, QoS and privacy, are yet to be overcome. European Partners:
Brazilian Partners:
|
 Supporting the Orchestration of Resilient and Trustworthy Fog Services
Jan 2016 - Dec 2018 |
SORTS is a bilateral project supported by CAPES (UNICAMP team) and FCT (UC team). Emerging applications in the context of the Internet of Everything (IoE) introduce real-time and low latency requirements, which pose new challenges on the services to be provided to the users. Fog Computing is a paradigm that extends Cloud Computing to the network edge, allowing a wider geographic coverage, load balancing and flexible mobility support, being a potential approach within the IoE. In this context, several challenges arise, including the need to support the orchestration of complex and on-demand services within large scale and dynamic environments, which can be adapted during runtime in a resilient and trustworthy way. The project will develop and validate a service orchestrator to satisfy these challenges. In addition, and taking advantage of the synergy between the two teams, the SORTS project contributes to the training of researchers from masters to post-doc levels. Partners:
|
