Edge/Fog Computing Technologies for IoT Infrastructure

• Outros Autores: Yoo, Seong-eun (Editor), Kim, Taehong (Editor), Kim, Youngsoo (Editor)
• Formato: Recurso Electrónico Capítulo de Livro
• Idioma: inglês
• Publicado em: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
• Assuntos: 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: DOAB: download the publication; DOAB: description of the publication

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...