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dc.contributor.editorYoo, Seong-eun
dc.contributor.editorKim, Taehong
dc.contributor.editorKim, Youngsoo
dc.date.accessioned2022-01-11T13:43:58Z
dc.date.available2022-01-11T13:43:58Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036514567_582
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76847
dc.description.abstractThe 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.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::K Economics, Finance, Business and Management::KN Industry and industrial studies::KNT Media, entertainment, information and communication industries::KNTX Information technology industriesen_US
dc.subject.othercloud computing
dc.subject.othercontainer orchestration
dc.subject.othercustom metrics
dc.subject.otherDocker
dc.subject.otheredge computing
dc.subject.otherHorizontal Pod Autoscaling (HPA)
dc.subject.otherKubernetes
dc.subject.otherPrometheus
dc.subject.otherresource metrics
dc.subject.otherfog computing
dc.subject.othertask allocation
dc.subject.othermulti-objective optimization
dc.subject.otherevolutionary genetics
dc.subject.otherhyper-angle
dc.subject.othercrowding distance
dc.subject.othercontainers
dc.subject.otherleader election
dc.subject.otherload balancing
dc.subject.otherstateful
dc.subject.othermulti-access edge computing
dc.subject.otherorchestrator
dc.subject.othertask offloading
dc.subject.otherfuzzy logic
dc.subject.other5G
dc.subject.otherfog/edge computing
dc.subject.otherservice provisioning
dc.subject.otherservice placement
dc.subject.otherservice offloading
dc.subject.otherInternet of Things (IoT)
dc.subject.othertask scheduling
dc.subject.othermarkov decision process (MDP)
dc.subject.otherdeep reinforcement learning (DRL)
dc.subject.otherresource management
dc.subject.otheralgorithm classification
dc.subject.otherevaluation framework
dc.subject.otherweb
dc.subject.otherWeb Assembly
dc.subject.otherOpenCL
dc.subject.otherLWC
dc.subject.otherfast implementation
dc.subject.otherInternet of things
dc.subject.otherIoT actor
dc.subject.otherdata manager
dc.subject.otherGDPR
dc.subject.othercomputing
dc.subject.othercomputational offloading
dc.subject.otherdynamic offloading threshold
dc.subject.otherminimizing delay
dc.subject.otherminimizing energy consumption
dc.subject.othermaximizing throughputs
dc.subject.othern/a
dc.titleEdge/Fog Computing Technologies for IoT Infrastructure
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-1455-0
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036514567
oapen.relation.isbn9783036514550
oapen.pages231
oapen.place.publicationBasel, Switzerland


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