A Chemical Inspired Simulation Framework for Pervasive Services Ecosystems

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.