The advent of highly distributed systems, such as the Internet of Things, has led to the development of distributed systems that require efficient and resilient runtime monitoring. Among the various monitoring techniques, runtime verification is a lightweight verification method that assesses the correctness of a running system concerning a formal specification. In this paper, we investigate the optimization of aggregate monitors, i.e., monitors that operate on ensembles of devices, for properties expressed in Spatial Logic of Closure Spaces (SLCS)-a formal logic designed to reason about spatial relationships between entities in a distributed system. We propose three different algorithms for the implementation of the somewhere operator, a key construct in SLCS, and we evaluate their performance through a series of simulations, comparing their convergence time and computational load.
Aguzzi, G., Audrito, G., Viroli, M. (2024). Optimising Aggregate Monitors for Spatial Logic of Closure Spaces Properties. 1601 Broadway, 10th Floor, NEW YORK, NY, UNITED STATES : Association for Computing Machinery, Inc [10.1145/3679008.3685544].
Optimising Aggregate Monitors for Spatial Logic of Closure Spaces Properties
Aguzzi G.;Viroli M.
2024
Abstract
The advent of highly distributed systems, such as the Internet of Things, has led to the development of distributed systems that require efficient and resilient runtime monitoring. Among the various monitoring techniques, runtime verification is a lightweight verification method that assesses the correctness of a running system concerning a formal specification. In this paper, we investigate the optimization of aggregate monitors, i.e., monitors that operate on ensembles of devices, for properties expressed in Spatial Logic of Closure Spaces (SLCS)-a formal logic designed to reason about spatial relationships between entities in a distributed system. We propose three different algorithms for the implementation of the somewhere operator, a key construct in SLCS, and we evaluate their performance through a series of simulations, comparing their convergence time and computational load.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.