TY  - GEN
AU  - Yoo,Seong-eun
AU  - Kim,Taehong
AU  - Kim,Youngsoo
AU  - Yoo,Seong-eun
AU  - Kim,Taehong
AU  - Kim,Youngsoo
TI  - Edge/Fog Computing Technologies for IoT Infrastructure
SN  - books978-3-0365-1455-0
PY  - 2021///
CY  - Basel, Switzerland
PB  - MDPI - Multidisciplinary Digital Publishing Institute
KW  - Information technology industries
KW  - bicssc
KW  - cloud computing
KW  - container orchestration
KW  - custom metrics
KW  - Docker
KW  - edge computing
KW  - Horizontal Pod Autoscaling (HPA)
KW  - Kubernetes
KW  - Prometheus
KW  - resource metrics
KW  - fog computing
KW  - task allocation
KW  - multi-objective optimization
KW  - evolutionary genetics
KW  - hyper-angle
KW  - crowding distance
KW  - containers
KW  - leader election
KW  - load balancing
KW  - stateful
KW  - multi-access edge computing
KW  - orchestrator
KW  - task offloading
KW  - fuzzy logic
KW  - 5G
KW  - fog/edge computing
KW  - service provisioning
KW  - service placement
KW  - service offloading
KW  - Internet of Things (IoT)
KW  - task scheduling
KW  - markov decision process (MDP)
KW  - deep reinforcement learning (DRL)
KW  - resource management
KW  - algorithm classification
KW  - evaluation framework
KW  - web
KW  - Web Assembly
KW  - OpenCL
KW  - LWC
KW  - fast implementation
KW  - Internet of things
KW  - IoT actor
KW  - data manager
KW  - GDPR
KW  - computing
KW  - computational offloading
KW  - dynamic offloading threshold
KW  - minimizing delay
KW  - minimizing energy consumption
KW  - maximizing throughputs
KW  - n/a
N1  - Open Access
N2  - 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 communication and processing. Fog/edge computing is a new computing paradigm where fully distributed fog/edge nodes located nearby end devices provide computing resources. By analyzing, filtering, and processing at local fog/edge resources instead of transferring tremendous data to the centralized cloud servers, fog/edge computing can reduce the processing delay and network traffic significantly. With these advantages, fog/edge computing is expected to be one of the key enabling technologies for building the IoT infrastructure. Aiming to explore the recent research and development on fog/edge computing technologies for building an IoT infrastructure, this book collected 10 articles. The selected articles cover diverse topics such as resource management, service provisioning, task offloading and scheduling, container orchestration, and security on edge/fog computing infrastructure, which can help to grasp recent trends, as well as state-of-the-art algorithms of fog/edge computing technologies
UR  - https://mdpi.com/books/pdfview/book/4296
UR  - https://directory.doabooks.org/handle/20.500.12854/76847
ER  -