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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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Bibliographic Details
Main Author: Yoo, Seong-eun
Other Authors: Kim, Taehong, Kim, Youngsoo
Format: eBook
Language:English
Published: Basel, Switzerland MDPI - Multidisciplinary Digital Publishing Institute 2021
Subjects:
Opencl
Evolutionary Genetics
Iot Actor
Web Assembly
Evaluation Framework
Fog/edge Computing
Minimizing Energy Consumption
N/a
Fast Implementation
Task Offloading
Deep Reinforcement Learning (drl)
Internet Of Things
Service Placement
Task Scheduling
Load Balancing
Custom Metrics
Service Provisioning
Horizontal Pod Autoscaling (hpa)
Gdpr
Maximizing Throughputs
Hyper-angle
Data Manager
Container Orchestration
Multi-objective Optimization
Information Technology Industries / Bicssc
Docker
Fog Computing
Dynamic Offloading Threshold
Resource Metrics
Task Allocation
Lwc
Markov Decision Process (mdp)
Web
Stateful
Fuzzy Logic
5g
Cloud Computing
Edge Computing
Prometheus
Computational Offloading
Internet Of Things (iot)
Service Offloading
Resource Management
Orchestrator
Leader Election
Computing
Crowding Distance
Algorithm Classification
Multi-access Edge Computing
Minimizing Delay
Kubernetes
Containers
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary: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.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (231 p.)
ISBN:books978-3-0365-1455-0
9783036514567
9783036514550

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