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Parallel real-time support for distributed adaptive embedded applications
Garibay-Martínez, Ricardo; Ferreira, Luis; Pinho, Luis MiguelReal-time embedded applications require to process large amounts of data within small time windows. Parallelize and distribute workloads adaptively is suitable solution for computational demanding applications. The purpose of the Parallel Real-Time Framework for distributed adaptive embedded systems is to guarantee local and distributed processing of real-time applications. This work identifies some promising r...
QoS-enabled middleware for smart grids
Alkhawaja, Abdel Rahman; Ferreira, Luis; Albano, Michele; Garibay-Martínez, RicardoEmerging smart grid systems must be able to react quickly and predictably, adapting their operation to changing energy supply and demand, by controlling energy consuming and energy storage devices. An intrinsic problem with smart grids is that energy produced from in-house renewable sources is affected by fluctuating weather factors. The applications driving smart grids operation must rely on a solid communicat...
A framework for the development of parallel and distributed real-time embedded ...
Garibay-Martínez, Ricardo; Ferreira, Luis; Pinho, Luis MiguelEmbedded real-time applications increasingly present high computation requirements, which need to be completed within specific deadlines, but that present highly variable patterns, depending on the set of data available in a determined instant. The current trend to provide parallel processing in the embedded domain allows providing higher processing power; however, it does not address the variability in the pro...
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