Edge/Fog Computing Technologies for IoT Infrastructure

The prevalence of smart devices and cloud computing has led to an explosion in the amount of data generated by IoT devices. Moreover, emerging IoT applications, such as augmented and virtual reality (AR/VR), intelligent transportation systems, and smart factories require ultra-low latency for data c...

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Detalhes bibliográficos
Corporate Authors: Yoo, Seong-eun, Kim, Taehong, Kim, Youngsoo
Formato: Livro
Idioma:Inglês
Publicado em: MDPI - Multidisciplinary Digital Publishing Institute 2021
Assuntos:
thema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industries
cloud computing
container orchestration
custom metrics
Docker
edge computing
Horizontal Pod Autoscaling (HPA)
Kubernetes
Prometheus
resource metrics
fog computing
task allocation
multi-objective optimization
evolutionary genetics
hyper-angle
crowding distance
containers
leader election
load balancing
stateful
multi-access edge computing
orchestrator
task offloading
fuzzy logic
5G
fog/edge computing
service provisioning
service placement
service offloading
Internet of Things (IoT)
task scheduling
markov decision process (MDP)
deep reinforcement learning (DRL)
resource management
algorithm classification
evaluation framework
web
Web Assembly
OpenCL
LWC
fast implementation
Internet of things
IoT actor
data manager
GDPR
computing
computational offloading
dynamic offloading threshold
minimizing delay
minimizing energy consumption
maximizing throughputs
n/a
Acesso em linha:https://directory.doabooks.org/handle/20.500.12854/76847
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