Pervasive context-aware computing networks call for designing algorithms for information propagation and reconfiguration that promote self-adaptation, namely, which can guarantee - at least to a probabilistic extent - certain reliability and robustness properties in spite of unpredicted changes and conditions. The possibility of formally analysing their properties is obviously an essential engineering requirement, calling for general-purpose models and tools. As proposed in recent works, several such algorithms can be modelled by the notion of "computational field": a dynamically evolving spatial data structure mapping every node of the network to a data value. Based on this idea, as a contribution toward formally verifying properties of pervasive computing systems, in this article we propose a specification language to model computational fields, and a framework based on PRISM stochastic model checker explicitly targeted at supporting temporal property verification, exploited for quantitative analysis of systems running on networks composed of hundreds of nodes.

M. Casadei, M. Viroli (2012). Toward Approximate Stochastic Model Checking of Computational Fields for Pervasive Computing Systems. Los Alamitos : IEEE CS [10.1109/SASOW.2012.42].

Toward Approximate Stochastic Model Checking of Computational Fields for Pervasive Computing Systems

CASADEI, MATTEO;VIROLI, MIRKO
2012

Abstract

Pervasive context-aware computing networks call for designing algorithms for information propagation and reconfiguration that promote self-adaptation, namely, which can guarantee - at least to a probabilistic extent - certain reliability and robustness properties in spite of unpredicted changes and conditions. The possibility of formally analysing their properties is obviously an essential engineering requirement, calling for general-purpose models and tools. As proposed in recent works, several such algorithms can be modelled by the notion of "computational field": a dynamically evolving spatial data structure mapping every node of the network to a data value. Based on this idea, as a contribution toward formally verifying properties of pervasive computing systems, in this article we propose a specification language to model computational fields, and a framework based on PRISM stochastic model checker explicitly targeted at supporting temporal property verification, exploited for quantitative analysis of systems running on networks composed of hundreds of nodes.
2012
Self-Adaptive and Self-Organizing Systems Workshops (SASOW)
199
204
M. Casadei, M. Viroli (2012). Toward Approximate Stochastic Model Checking of Computational Fields for Pervasive Computing Systems. Los Alamitos : IEEE CS [10.1109/SASOW.2012.42].
M. Casadei;M. Viroli
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11585/151699
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