CRIS Current Research Information System
IRIS è la soluzione IT che facilita la raccolta e la gestione dei dati relativi alle attività e ai prodotti della ricerca. Fornisce a ricercatori, amministratori e valutatori gli strumenti per monitorare i risultati della ricerca, aumentarne la visibilità e allocare in modo efficace le risorse disponibili.
EnglishHPC normally refers to the aggregation of computational capabilities in such a way that intense computations can be executed in a much shorter time than it would require on a classic end-user machine. In this paper, we propose a different point of view on such matter: focussing on situated self-organising systems, i.e. systems in which myriads of nodes deployed in a physical environment locally cooperate in order to obtain a global coherent and robust behaviour. We show how the intrinsic need of contextual information pushes towards distribution of the computation among such nodes, resembling a sort of high-performance computing system at a urban scale. We exemplify this concept by discussing an experience on designing and simulating a crowd steering application, able to provide users walking directions considering the contingencies, in this case overcrowded areas.
| Titolo: | HPC from a self-organisation perspective: The case of crowd steering at the urban scale |
| Autore/i: | PIANINI, DANILO; VIROLI, MIRKO; Franco Zambonelli; Alois Ferscha |
| Autore/i Unibo: | |
| Anno: | 2014 |
| Titolo del libro: | Proceedings of the 2014 International Conference on High Performance Computing and Simulation, HPCS 2014 |
| Pagina iniziale: | 460 |
| Pagina finale: | 467 |
| Digital Object Identifier (DOI): | http://dx.doi.org/10.1109/HPCSim.2014.6903721 |
| Abstract: | HPC normally refers to the aggregation of computational capabilities in such a way that intense computations can be executed in a much shorter time than it would require on a classic end-user machine. In this paper, we propose a different point of view on such matter: focussing on situated self-organising systems, i.e. systems in which myriads of nodes deployed in a physical environment locally cooperate in order to obtain a global coherent and robust behaviour. We show how the intrinsic need of contextual information pushes towards distribution of the computation among such nodes, resembling a sort of high-performance computing system at a urban scale. We exemplify this concept by discussing an experience on designing and simulating a crowd steering application, able to provide users walking directions considering the contingencies, in this case overcrowded areas. |
| Data prodotto definitivo in UGOV: | 12-gen-2015 |
| Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |
File in questo prodotto:
http://hdl.handle.net/11585/410574
Copyright © 2021