This paper grounds on the SAPERE project (Self-Aware PERvasive Service Ecosystems), which aims at proposing a multi-agent framework for pervasive computing, based on the idea of making each agent (service, device, human) manifest its existence in the ecosystem by a Live Semantic Annotation (LSA), and of coordinating agent activities by a small and fixed set of so-called eco-laws - sort of chemical-like reactions over patterns of LSAs. System dynamics in SAPERE is complex because of opennes and due to the self-* requirements imposed by the pervasive computing setting: a simulation framework is hence needed for what-if analysis prior to deployment. In this paper we present a prototype simulator we are developing. Due to the role of chemical-like dynamics, this is based on a variation of an existing SSA (Stochastic Simulation Algorithm), suitable tailored to the specific features of SAPERE, including dynamicity of network topology, pattern-based application of eco-laws, and temporal triggers. The simulator is tested on a crowd steering scenario where the navigation of groups is guided towards the preferential destination by showing the direction on public or private screens.
Titolo: | A Chemical Inspired Simulation Framework for Pervasive Services Ecosystems |
Autore/i: | PIANINI, DANILO; MONTAGNA, SARA; VIROLI, MIRKO |
Autore/i Unibo: | |
Anno: | 2011 |
Titolo del libro: | Proceedings of the Federated Conference on Computer Science and Information Systems (FedCSIS 2011) |
Pagina iniziale: | 667 |
Pagina finale: | 674 |
Abstract: | This paper grounds on the SAPERE project (Self-Aware PERvasive Service Ecosystems), which aims at proposing a multi-agent framework for pervasive computing, based on the idea of making each agent (service, device, human) manifest its existence in the ecosystem by a Live Semantic Annotation (LSA), and of coordinating agent activities by a small and fixed set of so-called eco-laws - sort of chemical-like reactions over patterns of LSAs. System dynamics in SAPERE is complex because of opennes and due to the self-* requirements imposed by the pervasive computing setting: a simulation framework is hence needed for what-if analysis prior to deployment. In this paper we present a prototype simulator we are developing. Due to the role of chemical-like dynamics, this is based on a variation of an existing SSA (Stochastic Simulation Algorithm), suitable tailored to the specific features of SAPERE, including dynamicity of network topology, pattern-based application of eco-laws, and temporal triggers. The simulator is tested on a crowd steering scenario where the navigation of groups is guided towards the preferential destination by showing the direction on public or private screens. |
Data prodotto definitivo in UGOV: | 25-giu-2013 |
Appare nelle tipologie: | 4.01 Contributo in Atti di convegno |