1 citations · 2 across the 2 of their papers we have counts for
6 papers
Aggregate Processes as Distributed Adaptive Services for the Industrial Internet of Things
Lorenzo Testa, Giorgio Audrito, Ferruccio Damiani +1
The Industrial Internet of Things (IIoT) promises to bring many benefits, including increased productivity, reduced costs, and increased safety to new generation manufacturing plan…
Monotonic Filtering for Distributed Collection
Hunza Zainab, Giorgio Audrito, Soura Dasgupta +1
Distributed data collection is a fundamental task in open systems. In such networks, data is aggregated across a network to produce a single aggregated result at a source device. T…
On Distributed Runtime Verification by Aggregate Computing
Giorgio Audrito, Ferruccio Damiani, Volker Stolz +1
Runtime verification is a computing analysis paradigm based on observing a system at runtime (to check its expected behaviour) by means of monitors generated from formal specificat…
Resilient Blocks for Summarising Distributed Data
Giorgio Audrito, Sergio Bergamini
Summarising distributed data is a central routine for parallel programming, lying at the core of widely used frameworks such as the map/reduce paradigm. In the IoT context it is ev…
Aggregate Graph Statistics
Giorgio Audrito, Ferruccio Damiani, Mirko Viroli
Collecting statistic from graph-based data is an increasingly studied topic in the data mining community. We argue that these statistics have great value as well in dynamic IoT con…
Engineering Resilient Collective Adaptive Systems by Self-Stabilisation
Mirko Viroli, Giorgio Audrito, Jacob Beal +2
Collective adaptive systems are an emerging class of networked computational systems, particularly suited in application domains such as smart cities, complex sensor networks, and…