Cyber-Physical Systems (CPS) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, smart, adaptive, predictive and react in real-time. Indeed, as sight for human beings, 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 CPS 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.

Design and management of image processing pipelines within CPS: 2 years of experience from the FitOptiVis ECSEL Project

Palumbo, Francesca;Sau, Carlo;Fanni, Tiziana;
2020-01-01

Abstract

Cyber-Physical Systems (CPS) are dynamic and reactive systems interacting with processes, environment and, sometimes, humans. They are often distributed with sensors and actuators, smart, adaptive, predictive and react in real-time. Indeed, as sight for human beings, 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 CPS 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.
2020
978-1-7281-9535-3
image-video processing; distributed systems; heterogeneous system; energy and performance optimization; Cyber-Physical Systems
File in questo prodotto:
File Dimensione Formato  
Design_and_management_of_image_processing_pipelines_within_CPS_2_years_of_experience_from_the_FitOptiVis_ECSEL_Project.pdf

Solo gestori archivio

Tipologia: versione editoriale (VoR)
Dimensione 929.62 kB
Formato Adobe PDF
929.62 kB Adobe PDF   Visualizza/Apri   Richiedi una copia
DSD_FIT2_preprint_merged.pdf

accesso aperto

Tipologia: versione pre-print
Dimensione 1.75 MB
Formato Adobe PDF
1.75 MB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11584/399583
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 6
  • ???jsp.display-item.citation.isi??? 5
social impact