A Methodology and Simulation-based Toolchain for Estimating Deployment Performance of Smart Collective Services at the Edge

Research trends are pushing artificial intelligence (AI) across the IoT-Edge-Fog-Cloud continuum, to enable effective data analytics, decision making, as well as efficient use of resources for QoS targets. Approaches for collective adaptive systems engineering, such as aggregate computing, provide d...

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Vydáno v:	IEEE internet of things journal Ročník 9; číslo 20; s. 1
Hlavní autoři:	Casadei, Roberto, Fortino, Giancarlo, Pianini, Danilo, Placuzzi, Andrea, Savaglio, Claudio, Viroli, Mirko
Médium:	Journal Article
Jazyk:	angličtina
Vydáno:	Piscataway IEEE 15.10.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Témata:	Adaptive systems Aggregates Artificial intelligence Cloud Services Collective Services Computational modeling Computer architecture Costs Cyber-Physical Systems Decision analysis Decision making Declarative programming Deployment methodology Edge Intelligence Heterogeneity Infrastructure Internet of Things Micromodules Mobile and Ubiquitous Systems Multimedia Programming Pulverisable Architectures Service Middleware and Platform Simulation
ISSN:	2327-4662, 2327-4662
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