Inspired by recent works in computational systems biology and existing literature proposing nature-inspired approaches for the coordination of today complex distributed systems, this paper proposes a mechanism to leverage exact computational modelling of chemical reactions for achieving self-organisation in system coordination. We conceive the notion of biochemical tuple spaces. In this model: a tuple resembles a chemical substance, a notion of activity/pertinency value for tuples is used to model chemical concentration, coordination rules are structured as chemical reactions evolving tuple concentration over time, a tuple space resembles a single-compartment solution, and finally a network of tuple spaces resembles a tissue-like biological system. The proposed model is formalised as a process algebra with stochastic semantics, and several examples are described up to an ecology-inspired scenario of system coordination, which emphasises the self-organisation features of the proposed model.

Biochemical Tuple Spaces for Self-Organising Coordination

VIROLI, MIRKO;CASADEI, MATTEO
2009

Abstract

Inspired by recent works in computational systems biology and existing literature proposing nature-inspired approaches for the coordination of today complex distributed systems, this paper proposes a mechanism to leverage exact computational modelling of chemical reactions for achieving self-organisation in system coordination. We conceive the notion of biochemical tuple spaces. In this model: a tuple resembles a chemical substance, a notion of activity/pertinency value for tuples is used to model chemical concentration, coordination rules are structured as chemical reactions evolving tuple concentration over time, a tuple space resembles a single-compartment solution, and finally a network of tuple spaces resembles a tissue-like biological system. The proposed model is formalised as a process algebra with stochastic semantics, and several examples are described up to an ecology-inspired scenario of system coordination, which emphasises the self-organisation features of the proposed model.
2009
143
162
M. Viroli; M. Casadei
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/83860
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