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Foggy: A Platform for Workload Orchestration in a Fog Computing Environment
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1016/j.future.2015.09.021openalex-snapshot
Integration of Cloud computing and Internet of Things: A survey
inferredcites →https://doi.org/10.1109/cloudcom.2016.0082openalex-snapshot
Cloud4IoT: A Heterogeneous, Distributed and Autonomic Cloud Platform for the IoT
inferredcites →https://doi.org/10.1109/mcc.2017.22openalex-snapshot
Osmotic Flow: Osmotic Computing + IoT Workflow
inferredcites →https://doi.org/10.1109/mcc.2017.27openalex-snapshot
Mobility-Aware Application Scheduling in Fog Computing
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Elucidating the challenges for the praxis of fog computing: An aspect‐based study
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Toward intelligent resource management in dynamic Fog Computing‐based Internet of Things environment with Deep Reinforcement Learning: A survey
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From zero to fog: Efficient engineering of fog‐based Internet of Things applications
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A Reputation Model for Third-Party Service Providers in Fog as a Service
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Performance Comparison of Lightweight Kubernetes in Edge Devices
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FLEDGE: Kubernetes Compatible Container Orchestration on Low-Resource Edge Devices
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Industrial Internet of Things (IIoT) Applications of Edge and Fog Computing: A Review and Future Directions
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Efficient Resource Provisioning in Critical Infrastructures Based on Multi-Agent Rollout Enabled by Deep Q-Learning
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Compute Continuum: What Lies Ahead?
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Research and Design of Fog Network Architecture with Smart Control System
inferred← citeshttps://doi.org/10.1007/978-3-031-70797-1_18openalex-snapshot
Towards Secure Management of Edge-Cloud IoT Microservices Using Policy as Code
inferred← citeshttps://doi.org/10.1007/s10723-025-09820-7openalex-snapshot
OTM: An Efficient Task Management and Offloading Scheme Using Proximity-Based Clustering, Fuzzy Logic, and Optimization in Edge-Cloud IoT Systems
inferred← citeshttps://doi.org/10.1007/s11227-021-03702-xopenalex-snapshot
FONS: a fog orchestrator node selection model to improve application placement in fog computing
inferred← citeshttps://doi.org/10.1007/s11227-021-04187-4openalex-snapshot
TRAPPY: a truthfulness and reliability aware application placement policy in fog computing
inferred← citeshttps://doi.org/10.1007/s40860-019-00081-2openalex-snapshot
Security challenges in fog-computing environment: a systematic appraisal of current developments
inferred← citeshttps://doi.org/10.1109/access.2020.3029583openalex-snapshot
ElasticFog: Elastic Resource Provisioning in Container-Based Fog Computing
inferred← citeshttps://doi.org/10.1109/cfec.2019.8733152openalex-snapshot
ORCH: Distributed Orchestration Framework using Mobile Edge Devices
inferred← citeshttps://doi.org/10.1109/cloudcom2018.2018.00024openalex-snapshot
An Architectural Framework for Serverless Edge Computing: Design and Emulation Tools
inferred← citeshttps://doi.org/10.1109/cloudnet59005.2023.10490073openalex-snapshot
Security-Aware Resource Allocation in the Edge-Cloud Continuum
inferred← citeshttps://doi.org/10.1109/cscloud/edgecom.2019.00026openalex-snapshot
Cutting Throughput with the Edge: App-Aware Placement in Fog Computing
inferred← citeshttps://doi.org/10.1109/cscs.2019.00100openalex-snapshot
DEW: A New Edge Computing Component for Distributed Dynamic Networks
inferred← citeshttps://doi.org/10.1109/fmec59375.2023.10306090openalex-snapshot
NebulOuS: A Meta-Operating System with Cloud Continuum Brokerage Capabilities
inferred← citeshttps://doi.org/10.1109/globecom59602.2025.11432676openalex-snapshot
Adaptive Edge Orchestration of Microservice-based SDN Controllers for Enhanced Quality of Service
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188059openalex-snapshot
PureEdgeSim: A Simulation Toolkit for Performance Evaluation of Cloud, Fog, and Pure Edge Computing Environments
inferred← citeshttps://doi.org/10.1109/hpcs48598.2019.9188159openalex-snapshot
Towards a Scalable and QoS-Aware Load Balancing Platform for Edge Computing Environments
inferred← citeshttps://doi.org/10.1109/ic2e52221.2021.00029openalex-snapshot
Community-based Placement of Registries to Speed up Application Deployment on Edge Computing
inferred← citeshttps://doi.org/10.1109/icirca51532.2021.9544673openalex-snapshot
An Efficient Workflow Management Model for Fog Computing
inferred← citeshttps://doi.org/10.1109/iscc58397.2023.10218068openalex-snapshot
Proactive Resource Orchestration Framework for Cloud/Fog Platform
inferred← citeshttps://doi.org/10.1109/iwcmc.2019.8766744openalex-snapshot
A Scalable and Adaptive Tasks Orchestration Platform for IoT
inferred← citeshttps://doi.org/10.1109/jproc.2024.3353855openalex-snapshot
Cloud-Native Computing: A Survey From the Perspective of Services
inferred← citeshttps://doi.org/10.1109/netsoft57336.2023.10175416openalex-snapshot
Intelligent Service Provisioning in Fog Computing
inferred← citeshttps://doi.org/10.1109/noms.2018.8406133openalex-snapshot
Managed edge computing on Internet-of-Things devices for smart city applications
inferred← citeshttps://doi.org/10.1109/percomworkshops68308.2026.11585211openalex-snapshot
DSSP: An SLO-aware Multi-Domain-based Sensing-as-a-Service Platform
inferred← citeshttps://doi.org/10.1109/seaa60479.2023.00030openalex-snapshot
Towards A Data Privacy-Aware Execution Zone Creation on Cloud/Fog Platform
inferred← citeshttps://doi.org/10.1109/spawc.2019.8815470openalex-snapshot
Quantum Optimization in Large Resource Management Systems
inferred← citeshttps://doi.org/10.1109/tcc.2020.3033807openalex-snapshot
Extending Kubernetes Clusters to Low-Resource Edge Devices Using Virtual Kubelets
inferred← citeshttps://doi.org/10.1109/tnsm.2019.2901346openalex-snapshot
Fuzzy Workload Orchestration for Edge Computing
inferred← citeshttps://doi.org/10.1109/tnsm.2020.3023011openalex-snapshot
Throughput-Aware Partitioning and Placement of Applications in Fog Computing
inferred← citeshttps://doi.org/10.1109/tsc.2020.2978472openalex-snapshot
QoS-Aware Fog Service Orchestration for Industrial Internet of Things
inferred← citeshttps://doi.org/10.1109/tvt.2025.3540914openalex-snapshot
Stackelberg Game-Based Joint Computing Resource Allocation and Task Offloading Method in Edge Computing
inferred← citeshttps://doi.org/10.1109/ucc48980.2020.00058openalex-snapshot
JADE: Tail-Latency-SLO-Aware Job Scheduling for Sensing-as-a-Service
inferred← citeshttps://doi.org/10.1145/3326066openalex-snapshot
Resource Management in Fog/Edge Computing
inferred← citeshttps://doi.org/10.1145/3341325.3342001openalex-snapshot
A Pub/Sub SDN-Integrated Framework for IoT Traffic Orchestration
inferred← citeshttps://doi.org/10.1145/3344341.3368800openalex-snapshot
Microservices-based IoT Application Placement within Heterogeneous and Resource Constrained Fog Computing Environments
inferred← citeshttps://doi.org/10.1145/3401025.3401764openalex-snapshot
Managing geo-distributed stream processing pipelines for the IIoT with StreamPipes edge extensions
inferred← citeshttps://doi.org/10.1145/3486221openalex-snapshot
Orchestration in Fog Computing: A Comprehensive Survey
inferred← citeshttps://doi.org/10.1145/3539606openalex-snapshot
Kubernetes Scheduling: Taxonomy, Ongoing Issues and Challenges
inferred← citeshttps://doi.org/10.1155/2021/5539186openalex-snapshot
Fuzzy‐Based Mobile Edge Orchestrators in Heterogeneous IoT Environments: An Online Workload Balancing Approach
inferred← citeshttps://doi.org/10.1186/s13677-020-00180-zopenalex-snapshot
Near real-time optimization of fog service placement for responsive edge computing
inferred← citeshttps://doi.org/10.1186/s13677-020-00211-9openalex-snapshot
Flexible computation offloading in a fuzzy-based mobile edge orchestrator for IoT applications
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A novel approach for IoT tasks offloading in edge-cloud environments
inferred← citeshttps://doi.org/10.1186/s13677-021-00276-0openalex-snapshot
Deep Reinforcement Learning-Based Workload Scheduling for Edge Computing
inferred← citeshttps://doi.org/10.23919/cnsm46954.2019.9012673openalex-snapshot
Scalability evaluation of VPN technologies for secure container networking
inferred← citeshttps://doi.org/10.23919/cnsm46954.2019.9012677openalex-snapshot
Systematic Mapping on Orchestration of Container-based Applications in Fog Computing
inferred← citeshttps://doi.org/10.23919/jsee.2022.000063openalex-snapshot
A multi-resource scheduling scheme of Kubernetes for IIoT
inferred← citeshttps://doi.org/10.3390/computers9030076openalex-snapshot
Fog Computing for Realizing Smart Neighborhoods in Smart Grids
inferred← citeshttps://doi.org/10.3390/info11120581openalex-snapshot
S.O.V.O.R.A.: A Distributed Wireless Operating System
inferred← citeshttps://doi.org/10.3390/info15060317openalex-snapshot
Reliablity and Security for Fog Computing Systems
inferred← citeshttps://doi.org/10.3390/s20061714openalex-snapshot
Smart Containers Schedulers for Microservices Provision in Cloud-Fog-IoT Networks. Challenges and Opportunities
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Performance Evaluation of Container Orchestration Tools in Edge Computing Environments
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Perspective Chapter: Cloud Lock-in Parameters – Service Adoption and Migration
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Efficient cloud application deployment in distributed fog infrastructures
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Cheops, une approche externe pour géo-distribuer en périphérie les applications à base de micro-services
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