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Edge Computing for Internet of Things



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Autore: Lee Kevin Visualizza persona
Titolo: Edge Computing for Internet of Things Visualizza cluster
Pubblicazione: Basel, : MDPI - Multidisciplinary Digital Publishing Institute, 2022
Descrizione fisica: 1 online resource (186 p.)
Soggetto topico: Energy industries and utilities
History of engineering and technology
Technology: general issues
Soggetto non controllato: association rules
cache memory
computational offloading
convolutional neural network
data processing
dew computing
distributed collaboration
dynamic offloading
edge computing
edge node
edge security
failure recovery
fog access points
fog computing
fog service orchestration
FP-Growth algorithm
frequency pattern analysis
functional programming
gateways
hierarchical edge computing
Internet of Things
Internet of Things (IoT)
IoT
job scheduling
mobile edge computing
mobile edge server placement
multiagent RL
n/a
offloading computation
orchestration
portable optical fiber spectrometers
proactive caching
rapid response strategy
scheduling heuristics
service placement
smartphone
spectral classification
WSN
Persona (resp. second.): ManKa Lok
LeeKevin
Sommario/riassunto: The Internet-of-Things is becoming an established technology, with devices being deployed in homes, workplaces, and public areas at an increasingly rapid rate. IoT devices are the core technology of smart-homes, smart-cities, intelligent transport systems, and promise to optimise travel, reduce energy usage and improve quality of life. With the IoT prevalence, the problem of how to manage the vast volumes of data, wide variety and type of data generated, and erratic generation patterns is becoming increasingly clear and challenging. This Special Issue focuses on solving this problem through the use of edge computing. Edge computing offers a solution to managing IoT data through the processing of IoT data close to the location where the data is being generated. Edge computing allows computation to be performed locally, thus reducing the volume of data that needs to be transmitted to remote data centres and Cloud storage. It also allows decisions to be made locally without having to wait for Cloud servers to respond.
Titolo autorizzato: Edge Computing for Internet of Things  Visualizza cluster
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 9910576879503321
Lo trovi qui: Univ. Federico II
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