Rosa M Badia

Fog computing brings cloud computing capabilities closer to the end-device and users, while enabling location-dependent resource allocation, low latency services, and extending significantly the IoT services portfolio as well as market and business opportunities in the cloud sector. With the number of devices exponentially growing globally, new cloud and fog models are...

EUrope-BRAzil Collaboration on ´BIG Data Scientific REsearch thorugh Cloud-Centric Applications´ aims to provide 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...

Several research communities in Europe exploit e-Infrastructures, sharing data and computing resources with Grid and Supercomputing technology. However the inherent complexity of these technologies has limited their wider adoption and their long term sustainability: designing, developing and operating a computing infrastructure for an e-Science community remains challenging...

Dataflow parallelism is key to reach power efficiency, reliability, efficient parallel programmability, scalability, data bandwidth. In this project we proposed dataflow both at task level and inside the threads, to offload and manage accelerated codes, to localize the computation, for managing the fault information with appropriate protocols, to easily migrate code to the...