The Internet of Things and edge computing are fostering a future of ecosystems hosting complex decentralized computations, deeply integrated with our very dynamic environments. Digitalized buildings, communities of people, and cities will be the next-generation “hardware and platform”, counting myriads of interconnected devices, on top of which intrinsically-distributed computational processes will run and self-organize. They will spontaneously spawn, diffuse to pertinent logical/physical regions, cooperate and compete, opportunistically summon required resources, collect and analyze data, compute results, trigger distributed actions, and eventually decade. How would a programming model for such ecosystems look like? Based on research findings on self-adaptive/self-organizing systems, this paper proposes design abstractions based on “dynamic decentralization domains”: regions of space opportunistically formed to support situated recognition and action. We embody the approach into a Scala API to enact distributed execution on a network of devices and show its applicability in a case study of environmental monitoring.
Gianluca Aguzzi Aguzzi, Roberto Casadei Casadei, Danilo Pianini Pianini, Mirko Viroli Viroli (2022). Dynamic decentralization domains for the Internet of Things - Simulation Repository.
Dynamic decentralization domains for the Internet of Things - Simulation Repository
Gianluca Aguzzi Aguzzi;Roberto Casadei Casadei;Danilo Pianini Pianini;Mirko Viroli Viroli
2022
Abstract
The Internet of Things and edge computing are fostering a future of ecosystems hosting complex decentralized computations, deeply integrated with our very dynamic environments. Digitalized buildings, communities of people, and cities will be the next-generation “hardware and platform”, counting myriads of interconnected devices, on top of which intrinsically-distributed computational processes will run and self-organize. They will spontaneously spawn, diffuse to pertinent logical/physical regions, cooperate and compete, opportunistically summon required resources, collect and analyze data, compute results, trigger distributed actions, and eventually decade. How would a programming model for such ecosystems look like? Based on research findings on self-adaptive/self-organizing systems, this paper proposes design abstractions based on “dynamic decentralization domains”: regions of space opportunistically formed to support situated recognition and action. We embody the approach into a Scala API to enact distributed execution on a network of devices and show its applicability in a case study of environmental monitoring.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.