Collaborative SLA and reputation-based trust management in cloud federations

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing.

Fog-to-Cloud Computing for Farming: Low-Cost Technologies, Data Exchange, and Animal Welfare

Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.

Running simulations in HPC and cloud resources by implementing enhanced TOSCA workflows

International Conference on High Performance Computing & Simulation (HPCS)
In general, one of the complexities of large simulations is related to the usage of the heterogeneous computational resources that are needed to execute them. The definition of workflows, usually linked to concrete orchestrations solutions, has reduced most of that complexity.

ZONESEC: built-in cyber-security for wide area surveillance system

ZONESEC: built-in cyber-security for wide area surveillance system. Aljosa Pasic, Jose-Ramon Martinez-Salio, Susana Gonzalez Zarzosa, Rodrigo Diaz. Reggio Calabria, Italy, August 29 – September 1, 2017 (ARES 2017)

Real-time Probabilistic Data Fusion for Large-scale IoT Applications

IEEE Access, vol. PP, no. 99, pp. 1-1. DOI: 10.1109/ACCESS.2018.2804623

Knowledge is power

Article in the newspaper Thinking Cities (Vol V, Mayo 2018): behind the scenes guided tour of Ikaas project

Parallelization and Deployment of Big Data Algorithms: The TOREADOR Approach

32nd International Conference on Advanced Information Networking and Applications Workshops (WAINA). DOI: 10.1109/WAINA.2018.00120

EO4wildlife: A Cloud Platform to Exploit Satellite Data for Animal Protection

EO4wildlife was presented during the Digital Poster session at the ESA Earth Observation Φ-week hosted in ESA-ESRIN (Frascati) from 12 to 16 November 2018.

Real-time Probabilistic Data Fusion for Large-scale IoT Applications

 IEEE Access, vol. PP, no. 99, pp. 1-1. doi: 10.1109/ACCESS.2018.2804623

Artificial Intelligence as the second phase for IoT

ATOS Blog: https://atos.net/en/blog/artificial-intelligence-second-phase-iot-part-1

Towards Digital and Personalized Healthcare and Well-being Solutions for the Workplace

Application of Pocket mHealth as a tool for occupational health, presented in the Workshop on Personalized Health & Intelligent Workplaces Transforming Ergonomics ‘18

From Innovative Niches to a Cooperative IoT Ecosystem. Creating Business Value for Federated and Interoperable IoT Platforms.

2nd Global IoT Summit: IoT Technologies and Applications for the Benefit of Society

Artificial Intelligence as the second phase for IoT – Part 1

Part 1 of Bylined Article about AI and IoT, published at Atos Blog

Artificial Intelligence as the second phase for IoT – Part 2

Part 2 of Bylined Article about AI and IoT, published at Atos Blog

The ElasTest Platform: Supporting Automation of End-to-End Testing of Large Complex Applications

The ElasTest Platform: Supporting Automation of End-to-End Testing of Large Complex Applications