04172nam 2200997z- 450 991055771420332120220111(CKB)5400000000046183(oapen)https://directory.doabooks.org/handle/20.500.12854/76847(oapen)doab76847(EXLCZ)99540000000004618320202201d2021 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierEdge/Fog Computing Technologies for IoT InfrastructureBasel, SwitzerlandMDPI - Multidisciplinary Digital Publishing Institute20211 online resource (231 p.)3-0365-1456-2 3-0365-1455-4 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.Information technology industriesbicssc5Galgorithm classificationcloud computingcomputational offloadingcomputingcontainer orchestrationcontainerscrowding distancecustom metricsdata managerdeep reinforcement learning (DRL)Dockerdynamic offloading thresholdedge computingevaluation frameworkevolutionary geneticsfast implementationfog computingfog/edge computingfuzzy logicGDPRHorizontal Pod Autoscaling (HPA)hyper-angleInternet of thingsInternet of Things (IoT)IoT actorKubernetesleader electionload balancingLWCmarkov decision process (MDP)maximizing throughputsminimizing delayminimizing energy consumptionmulti-access edge computingmulti-objective optimizationn/aOpenCLorchestratorPrometheusresource managementresource metricsservice offloadingservice placementservice provisioningstatefultask allocationtask offloadingtask schedulingwebWeb AssemblyInformation technology industriesYoo Seong-eunedt1328750Kim TaehongedtKim YoungsooedtYoo Seong-eunothKim TaehongothKim YoungsooothBOOK9910557714203321Edge3039491UNINA