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Design and management of image processing pipelines within CPS: Acquired experience towards the end of the FitOptiVis ECSEL Project

2021; Elsevier BV; Volume: 87; Linguagem: Inglês

10.1016/j.micpro.2021.104350

1872-9436

Carlo Sau, Claudia Rinaldi, Luigi Pomante, Francesca Palumbo, Giacomo Valente, Tiziana Fanni, Marcos Jesús Iglesias Martínez, Frank van der Linden, Twan Basten, Marc Geilen, Geran Peeren, Jiří Kadlec, Pekka Jääskeläinen, Lubomír Bulej, Francisco Barranco, Jukka Saarinen, Tero Säntti, Maria Katiuscia Zedda, Víctor Sánchez Ribes, Shayan Tabatabaei Nikkhah, Dip Goswami, Guillermo Amat, Lukáš Maršík, Mark van Helvoort, Luis Medina, Zaid Al-Ars, Ad de Beer,

Real-Time Systems Scheduling

Cyber-Physical Systems (CPSs) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, characterized for being smart, adaptive, predictive and react in real-time. Indeed, image- and video-processing pipelines are a prime source for environmental information for systems allowing them to take better decisions according to what they see. Therefore, in FitOptiVis, we are developing novel methods and tools to integrate complex image- and video-processing pipelines. FitOptiVis aims to deliver a reference architecture for describing and optimizing quality and resource management for imaging and video pipelines in CPSs both at design- and run-time. The architecture is concretized in low-power, high-performance, smart components, and in methods and tools for combined design-time and run-time multi-objective optimization and adaptation within system and environment constraints.