Toward Approximate Stochastic Model Checking of Computational Fields for Pervasive Computing Systems
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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.},
apice = {ApmcSasow2012},
author = {Casadei, Matteo and Viroli, Mirko},
booktitle = {Self-Adaptive and Self-Organizing Systems Workshops (SASOW)},
doi = {10.1109/SASOW.2012.42},
editor = {Pitt, Jeremy},
isbn = {978-1-4673-5153-9},
keywords = {Self-organisation patterns, computational fields, formal verification, pervasive service ecosystems},
month = apr,
note = {2012 IEEE Sixth International Conference (SASOW 2012), Lyon, France, 10-14~} # sep # {~2012. Proceedings},
pages = {199--204},
publisher = {IEEE CS},
title = {Toward Approximate Stochastic Model Checking of Computational Fields for Pervasive Computing Systems},
year = 2013
}