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A decade of research in fog computing: Relevance, challenges, and future directions
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1 of the 123 references listed on this page is in the Retraction Watch database as retracted (export 2026-11-11): 10.1155/2021/4758677 (notice 2023-12-20).
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Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119525080.ch1openalex-snapshot
Internet of Things (IoT) and New Computing Paradigms
inferredcites →https://doi.org/10.1002/ett.3493openalex-snapshot
EdgeCloudSim: An environment for performance evaluation of edge computing systems
inferredcites →https://doi.org/10.1002/ett.4632openalex-snapshot
A deep and systematic review of the intrusion detection systems in the fog environment
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1002/spe.2766openalex-snapshot
How to place your apps in the fog: State of the art and open challenges
inferredcites →https://doi.org/10.1002/spe.3025openalex-snapshot
A comprehensive survey on nature‐inspired algorithms and their applications in edge computing: Challenges and future directions
inferredcites →https://doi.org/10.1002/spe.3039openalex-snapshot
Quantum computing: A taxonomy, systematic review and future directions
inferredcites →https://doi.org/10.1007/978-3-319-45145-9_9openalex-snapshot
Smart City Surveillance in Fog Computing
inferredcites →https://doi.org/10.1007/978-3-319-91563-0_13openalex-snapshot
Fog Computing and Data as a Service: A Goal-Based Modeling Approach to Enable Effective Data Movements
inferredcites →https://doi.org/10.1007/978-3-642-33143-5openalex-snapshot
Fundamentals of Business Process Management
inferredcites →https://doi.org/10.1007/s10586-021-03268-6openalex-snapshot
Mobility-aware computational offloading in mobile edge networks: a survey
inferredcites →https://doi.org/10.1007/s10723-019-09491-1openalex-snapshot
Resource Management Approaches in Fog Computing: a Comprehensive Review
inferredcites →https://doi.org/10.1007/s11277-016-3845-0openalex-snapshot
Software-Defined Fog Network Architecture for IoT
inferredcites →https://doi.org/10.1007/s12083-016-0476-xopenalex-snapshot
Infrastructure deployment and optimization of fog network based on MicroDC and LRPON integration
inferredcites →https://doi.org/10.1016/j.comcom.2021.09.003openalex-snapshot
Edge and fog computing for IoT: A survey on current research activities & future directions
inferredcites →https://doi.org/10.1016/j.comcom.2021.11.005openalex-snapshot
Blockchain technology as a Fog computing security and privacy solution: An overview
inferredcites →https://doi.org/10.1016/j.comcom.2022.12.007openalex-snapshot
CANTO: An actor model-based distributed fog framework supporting neural networks training in IoT applications
inferredcites →https://doi.org/10.1016/j.comnet.2020.107629openalex-snapshot
Large scale “speedtest” experimentation in Mobile Broadband Networks
inferredcites →https://doi.org/10.1016/j.cosrev.2018.11.002openalex-snapshot
A Survey on quantum computing technology
inferredcites →https://doi.org/10.1016/j.cosrev.2021.100391openalex-snapshot
A comprehensive study of simulation frameworks and research directions in fog computing
inferredcites →https://doi.org/10.1016/j.dcan.2017.10.002openalex-snapshot
Machine learning for internet of things data analysis: a survey
inferredcites →https://doi.org/10.1016/j.dcan.2021.10.004openalex-snapshot
Survey on recent advances in IoT application layer protocols and machine learning scope for research directions
inferredcites →https://doi.org/10.1016/j.future.2013.01.010openalex-snapshot
Internet of Things (IoT): A vision, architectural elements, and future directions
inferredcites →https://doi.org/10.1016/j.future.2017.02.014openalex-snapshot
Exploiting smart e-Health gateways at the edge of healthcare Internet-of-Things: A fog computing approach
inferredcites →https://doi.org/10.1016/j.future.2018.11.043openalex-snapshot
Assessing the reliability of fog computing for smart mobility applications in VANETs
inferredcites →https://doi.org/10.1016/j.future.2019.02.056openalex-snapshot
Evaluation and efficiency comparison of evolutionary algorithms for service placement optimization in fog architectures
inferredcites →https://doi.org/10.1016/j.future.2020.12.011openalex-snapshot
Akka framework based on the Actor model for executing distributed Fog Computing applications
inferredcites →https://doi.org/10.1016/j.future.2021.12.012openalex-snapshot
Serverless data pipeline approaches for IoT data in fog and cloud computing
inferredcites →https://doi.org/10.1016/j.future.2022.04.009openalex-snapshot
Energy-SLA-aware genetic algorithm for edge–cloud integrated computation offloading in vehicular networks
inferredcites →https://doi.org/10.1016/j.future.2022.04.034openalex-snapshot
Fog node discovery and selection: A Systematic literature review
inferredcites →https://doi.org/10.1016/j.future.2022.06.012openalex-snapshot
Deep reinforcement learning for energy and time optimized scheduling of precedence-constrained tasks in edge–cloud computing environments
inferredcites →https://doi.org/10.1016/j.ipm.2022.103061openalex-snapshot
Federated learning review: Fundamentals, enabling technologies, and future applications
inferredcites →https://doi.org/10.1016/j.jnca.2020.102531openalex-snapshot
Fog-based smart homes: A systematic review
inferredcites →https://doi.org/10.1016/j.jpdc.2014.08.003openalex-snapshot
Big Data computing and clouds: Trends and future directions
inferredcites →https://doi.org/10.1016/j.jpdc.2018.03.004openalex-snapshot
Quality of Experience (QoE)-aware placement of applications in Fog computing environments
inferredcites →https://doi.org/10.1016/j.jpdc.2019.10.001openalex-snapshot
Profit-aware application placement for integrated Fog–Cloud computing environments
inferredcites →https://doi.org/10.1016/j.jss.2019.04.050openalex-snapshot
FogBus: A Blockchain-based Lightweight Framework for Edge and Fog Computing
inferredcites →https://doi.org/10.1016/j.jss.2020.110587openalex-snapshot
STEP-ONE: Simulated testbed for Edge-Fog processes based on the Opportunistic Network Environment simulator
inferredcites →https://doi.org/10.1016/j.jss.2021.111164openalex-snapshot
TOSCAdata: Modeling data pipeline applications in TOSCA
inferredcites →https://doi.org/10.1016/j.jss.2022.111351openalex-snapshot
iFogSim2: An extended iFogSim simulator for mobility, clustering, and microservice management in edge and fog computing environments
inferredcites →https://doi.org/10.1016/j.seta.2022.102987openalex-snapshot
Federated learning for smart cities: A comprehensive survey
inferredcites →https://doi.org/10.1016/j.simpat.2019.102062openalex-snapshot
MobFogSim: Simulation of mobility and migration for fog computing
inferredcites →https://doi.org/10.1016/j.sysarc.2019.02.009openalex-snapshot
All one needs to know about fog computing and related edge computing paradigms: A complete survey
inferredcites →https://doi.org/10.1016/j.tibtech.2012.02.002openalex-snapshot
ELIXIR: a distributed infrastructure for European biological data
inferredcites →https://doi.org/10.1016/j.vehcom.2022.100512openalex-snapshot
A survey on Vehicular Fog Computing: Current state-of-the-art and future directions
inferredcites →https://doi.org/10.1109/3ict51146.2020.9312007openalex-snapshot
An Incentive Mechanism for Computing Resource Allocation in Vehicular Fog Computing Environment
inferredcites →https://doi.org/10.1109/access.2017.2677520openalex-snapshot
A Lightweight Privacy-Preserving Data Aggregation Scheme for Fog Computing-Enhanced IoT
inferredcites →https://doi.org/10.1109/access.2017.2704100openalex-snapshot
Fog Computing in Healthcare–A Review and Discussion
inferredcites →https://doi.org/10.1109/access.2018.2877696openalex-snapshot
FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment
inferredcites →https://doi.org/10.1109/access.2018.2883662openalex-snapshot
Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation
inferredcites →https://doi.org/10.1109/access.2019.2947542openalex-snapshot
A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues
inferredcites →https://doi.org/10.1109/access.2020.2964073openalex-snapshot
Distributed Fog Computing for Latency and Reliability Guaranteed Swarm of Drones
inferredcites →https://doi.org/10.1109/aicas.2019.8771621openalex-snapshot
Edge and Fog Computing Enabled AI for IoT-An Overview
inferredcites →https://doi.org/10.1109/aiccsa.2017.9openalex-snapshot
Managing Wireless Fog Networks using Software-Defined Networking
inferredcites →https://doi.org/10.1109/aict-iciw.2006.215openalex-snapshot
Mobile Web Service Provisioning
inferredcites →https://doi.org/10.1109/cloud55607.2022.00057openalex-snapshot
Fog Computing out of the Box with FogDEFT Framework: A Case Study
inferredcites →https://doi.org/10.1109/comsnets37444.2016openalex-snapshot
2016 8th International Conference on Communication Systems and Networks (COMSNETS)
inferredcites →https://doi.org/10.1109/comst.2015.2477041openalex-snapshot
Network Function Virtualization: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/comst.2017.2705720openalex-snapshot
On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration
inferredcites →https://doi.org/10.1109/comst.2017.2717482openalex-snapshot
How Can Edge Computing Benefit From Software-Defined Networking: A Survey, Use Cases, and Future Directions
inferredcites →https://doi.org/10.1109/comst.2017.2762345openalex-snapshot
Securing Fog Computing for Internet of Things Applications: Challenges and Solutions
inferredcites →https://doi.org/10.1109/comst.2018.2803740openalex-snapshot
How Can Heterogeneous Internet of Things Build Our Future: A Survey
inferredcites →https://doi.org/10.1109/comst.2018.2814571openalex-snapshot
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
inferredcites →https://doi.org/10.1109/comst.2023.3254481openalex-snapshot
A Survey of Important Issues in Quantum Computing and Communications
inferredcites →https://doi.org/10.1109/icc.2018.8422684openalex-snapshot
Incentive Mechanism Design for Computation Offloading in Heterogeneous Fog Computing: A Contract-Based Approach
inferredcites →https://doi.org/10.1109/ieee.edge.2017.11openalex-snapshot
A-Priori Estimation of Computation Times in Fog Networked Robotics
inferredcites →https://doi.org/10.1109/ieeestd.2018.8423800openalex-snapshot
IEEE Standard for Adoption of OpenFog Reference Architecture for Fog Computing
inferredcites →https://doi.org/10.1109/jiot.2017.2659783openalex-snapshot
Security and Privacy Preservation Scheme of Face Identification and Resolution Framework Using Fog Computing in Internet of Things
inferredcites →https://doi.org/10.1109/jiot.2017.2714638openalex-snapshot
Evaluating Performance of Containerized IoT Services for Clustered Devices at the Network Edge
inferredcites →https://doi.org/10.1109/jiot.2019.2922585openalex-snapshot
Fog Resource Provisioning in Reliability-Aware IoT Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2946426openalex-snapshot
DPTO: A Deadline and Priority-Aware Task Offloading in Fog Computing Framework Leveraging Multilevel Feedback Queueing
inferredcites →https://doi.org/10.1109/jiot.2019.2958400openalex-snapshot
Application Offloading Strategy for Hierarchical Fog Environment Through Swarm Optimization
inferredcites →https://doi.org/10.1109/jiot.2020.3041102openalex-snapshot
Stackelberg Game for Service Deployment of IoT-Enabled Applications in 6G-Aware Fog Networks
inferredcites →https://doi.org/10.1109/jiot.2021.3063494openalex-snapshot
Next-Generation Internet of Things in Fintech Ecosystem
inferredcites →https://doi.org/10.1109/jiot.2021.3067732openalex-snapshot
Constrained Multiobjective Optimization for IoT-Enabled Computation Offloading in Collaborative Edge and Cloud Computing
inferredcites →https://doi.org/10.1109/jiot.2022.3211872openalex-snapshot
Decoding the Interplay Between Latency, Reliability, Cost, and Energy While Provisioning Resources in Fog-Computing-Enabled IoT Networks
inferredcites →https://doi.org/10.1109/jproc.2014.2371999openalex-snapshot
Software-Defined Networking: A Comprehensive Survey
inferredcites →https://doi.org/10.1109/jsac.2016.2624118openalex-snapshot
D2D Fogging: An Energy-Efficient and Incentive-Aware Task Offloading Framework via Network-assisted D2D Collaboration
inferredcites →https://doi.org/10.1109/lanman.2016.7548853openalex-snapshot
A platform as-a-service for hybrid cloud/fog environments
inferredcites →https://doi.org/10.1109/mc.2017.3571049openalex-snapshot
Indie Fog: An Efficient Fog-Computing Infrastructure for the Internet of Things
inferredcites →https://doi.org/10.1109/mcc.2017.13openalex-snapshot
The Economics of the Hybrid Multicloud Fog
inferredcites →https://doi.org/10.1109/mcom.2015.7060486openalex-snapshot
Mobile code offloading: from concept to practice and beyond
inferredcites →https://doi.org/10.1109/mcom.2017.1600838openalex-snapshot
TelcoFog: A Unified Flexible Fog and Cloud Computing Architecture for 5G Networks
inferredcites →https://doi.org/10.1109/mcom.2017.1600840openalex-snapshot
IoT Stream Processing and Analytics in the Fog
inferredcites →https://doi.org/10.1109/mcom.2017.1700208openalex-snapshot
Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management
inferredcites →https://doi.org/10.1109/mnet.2016.7513863openalex-snapshot
Fog-computing-based radio access networks: issues and challenges
inferredcites →https://doi.org/10.1109/mprv.2009.82openalex-snapshot
The Case for VM-Based Cloudlets in Mobile Computing
inferredcites →https://doi.org/10.1109/mprv.2015.32openalex-snapshot
Edge Analytics in the Internet of Things
inferredcites →https://doi.org/10.1109/mwc.2017.1600427openalex-snapshot
Container-as-a-Service at the Edge: Trade-off between Energy Efficiency and Service Availability at Fog Nano Data Centers
inferredcites →https://doi.org/10.1109/mwc.2017.1700007openalex-snapshot
Fog Radio Access Networks: Mobility Management, Interference Mitigation, and Resource Optimization
inferredcites →https://doi.org/10.1109/seconw.2015.7328145openalex-snapshot
The IoT hub: a fog node for seamless management of heterogeneous connected smart objects
inferredcites →https://doi.org/10.1109/tbdata.2017.2705418openalex-snapshot
Toward Architectural and Protocol-Level Foundation for End-to-End Trustworthiness in Cloud/Fog Computing
inferredcites →https://doi.org/10.1109/tii.2018.2855198openalex-snapshot
Deploying Fog Computing in Industrial Internet of Things and Industry 4.0
inferredcites →https://doi.org/10.1109/tii.2021.3095466openalex-snapshot
iFaaSBus: A Security- and Privacy-Based Lightweight Framework for Serverless Computing Using IoT and Machine Learning
inferredcites →https://doi.org/10.1109/tits.2021.3099597openalex-snapshot
Vehicle Selection and Resource Optimization for Federated Learning in Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tmc.2019.2925797openalex-snapshot
Economics of Fog Computing: Interplay Among Infrastructure and Service Providers, Users, and Edge Resource Owners
inferredcites →https://doi.org/10.1109/tmc.2020.3017079openalex-snapshot
Dynamic Scheduling for Stochastic Edge-Cloud Computing Environments Using A3C Learning and Residual Recurrent Neural Networks
inferredcites →https://doi.org/10.1109/tmc.2021.3106746openalex-snapshot
Adaptive User-managed Service Placement for Mobile Edge Computing via Contextual Multi-armed Bandit Learning
inferredcites →https://doi.org/10.1109/tmc.2021.3123165openalex-snapshot
A Distributed Deep Reinforcement Learning Technique for Application Placement in Edge and Fog Computing Environments
inferredcites →https://doi.org/10.1109/tnet.2020.3048613openalex-snapshot
Service Placement and Request Scheduling for Data-Intensive Applications in Edge Clouds
inferredcites →https://doi.org/10.1109/tnse.2019.2941754openalex-snapshot
Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications
inferredcites →https://doi.org/10.1109/tpds.2021.3099731openalex-snapshot
Mechanisms for Resource Allocation and Pricing in Mobile Edge Computing Systems
inferredcites →https://doi.org/10.1109/tpds.2021.3105325openalex-snapshot
Towards Revenue-Driven Multi-User Online Task Offloading in Edge Computing
inferredcites →https://doi.org/10.1109/tvt.2013.2257188openalex-snapshot
Achieving Efficient Cooperative Message Authentication in Vehicular Ad Hoc Networks
inferredcites →https://doi.org/10.1109/tvt.2015.2445833openalex-snapshot
Optimal Energy Management Policy of Mobile Energy Gateway
inferredcites →https://doi.org/10.1109/twc.2020.2967371openalex-snapshot
Incentive-Aware Micro Computing Cluster Formation for Cooperative Fog Computing
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/2594368.2594383openalex-snapshot
Towards wearable cognitive assistance
inferredcites →https://doi.org/10.1145/3057266openalex-snapshot
Fog Computing for Sustainable Smart Cities
inferredcites →https://doi.org/10.1145/3241737openalex-snapshot
A Manifesto for Future Generation Cloud Computing
inferredcites →https://doi.org/10.1145/3326066openalex-snapshot
Resource Management in Fog/Edge Computing
inferredcites →https://doi.org/10.1145/3326540openalex-snapshot
A Survey on Mobility-Induced Service Migration in the Fog, Edge, and Related Computing Paradigms
inferredcites →https://doi.org/10.1145/3341145openalex-snapshot
Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing
inferredcites →https://doi.org/10.1145/3391196openalex-snapshot
An Overview of Service Placement Problem in Fog and Edge Computing
inferredcites →https://doi.org/10.1145/3544836openalex-snapshot
Scheduling IoT Applications in Edge and Fog Computing Environments: A Taxonomy and Future Directions
inferredcites →https://doi.org/10.1145/3560816openalex-snapshot
Blockchain-Based Federated Learning for Securing Internet of Things: A Comprehensive Survey
inferredcites →https://doi.org/10.1155/2021/4758677openalex-snapshot
[Retracted] SAP: An IoT Application Module Placement Strategy Based on Simulated Annealing Algorithm in Edge‐Cloud Computing
inferredcites →https://doi.org/10.3389/fnhum.2014.00370openalex-snapshot
Pervasive brain monitoring and data sharing based on multi-tier distributed computing and linked data technology
inferredcites →https://doi.org/10.3390/fi12110190openalex-snapshot
Fog Computing for Smart Cities’ Big Data Management and Analytics: A Review
inferredcites →https://doi.org/10.3390/s19214807openalex-snapshot
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.4236/jis.2017.83014openalex-snapshot
Attribute-Based Secure Data Sharing with Efficient Revocation in Fog Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.70097openalex-snapshot
Service Placement in Fog Computing Using a Combination of Reinforcement Learning and Improved Gray Wolf Optimization Method
inferred← citeshttps://doi.org/10.1002/cpe.70297openalex-snapshot
Intrusion Detection System in IoT 5G Networks Based on LSSVM and Harmony Search Optimization
inferred← citeshttps://doi.org/10.1002/cpe.8304openalex-snapshot
Workflow Scheduling in Cloud–Fog Computing Environments: A Systematic Literature Review
inferred← citeshttps://doi.org/10.1002/itl2.562openalex-snapshot
Distributed edge analytics in edge‐fog‐cloud continuum
inferred← citeshttps://doi.org/10.1002/nem.2246openalex-snapshot
Fog computing out of the box: Dynamic deployment of fog service containers with TOSCA
inferred← citeshttps://doi.org/10.1002/spe.3265openalex-snapshot
FIDEL: Fog integrated federated learning framework to train neural networks
inferred← citeshttps://doi.org/10.1002/spe.3338openalex-snapshot
Dynamic hierarchical intrusion detection task offloading in IoT edge networks
inferred← citeshttps://doi.org/10.1002/spe.3354openalex-snapshot
FogDEFTKube: Standards‐compliant dynamic deployment of fog service containers
inferred← citeshttps://doi.org/10.1002/spe.70018openalex-snapshot
Quality of Experience Based Dynamic Path Serverless Data Pipelines in Edge/Fog Computing
inferred← citeshttps://doi.org/10.1007/978-3-031-50514-0_10openalex-snapshot
Applications of Deep Learning Models in Diverse Streams of IoT
inferred← citeshttps://doi.org/10.1007/978-3-031-50514-0_13openalex-snapshot
Enhancing Security in Intelligent Transport Systems: A Blockchain-Based Approach for IoT Data Management
inferred← citeshttps://doi.org/10.1007/978-3-031-50514-0_4openalex-snapshot
Machine Learning Techniques for Industrial Internet of Things
inferred← citeshttps://doi.org/10.1007/978-3-031-50514-0_5openalex-snapshot
Exploring IoT Communication Technologies and Data-Driven Solutions
inferred← citeshttps://doi.org/10.1007/978-3-031-50514-0_7openalex-snapshot
Digital Twin and IoT for Smart City Monitoring
inferred← citeshttps://doi.org/10.1007/978-3-031-63992-0_21openalex-snapshot
Achieving Observability on Fog Computing with the Use of Open-Source Tools
inferred← citeshttps://doi.org/10.1007/978-3-031-73122-8_28openalex-snapshot
Exploring Scalable User Mobility Impact on Energy Efficiency, Latency and Network Usage in Smart Homes
inferred← citeshttps://doi.org/10.1007/978-3-031-81564-5_69openalex-snapshot
Application Issues of Fog Computing Technology in Smart City Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-81821-9_7openalex-snapshot
Dynamic Deployment of Serverless Data Pipeline on Fog Nodes
inferred← citeshttps://doi.org/10.1007/978-3-031-99854-6_17openalex-snapshot
Auction-Based Placement of Function Chains in the Fog at Scale
inferred← citeshttps://doi.org/10.1007/978-3-032-15395-1_24openalex-snapshot
Comparative Analysis of AI-Based Energy-Efficient Task Scheduling Models in Cloud-Fog Environments
inferred← citeshttps://doi.org/10.1007/978-3-032-16915-0_20openalex-snapshot
From Data Acquisition to Real-Time Analytics: A Review of Recent Advances on Intelligent Strategies for Traffic Flow Modelling
inferred← citeshttps://doi.org/10.1007/978-3-032-23219-9_8openalex-snapshot
Convergence of Cloud Computing and Distributed Systems: Evolution, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s10115-024-02162-yopenalex-snapshot
Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
inferred← citeshttps://doi.org/10.1007/s10115-024-02274-5openalex-snapshot
Resource allocation in fog computing: a survey on current state and research challenges
inferred← citeshttps://doi.org/10.1007/s10462-025-11381-wopenalex-snapshot
Quantum computing revolution in healthcare: a systematic review of applications, issues and future directions
inferred← citeshttps://doi.org/10.1007/s10922-025-09908-1openalex-snapshot
Lightweight Novel Approach for Collaborative Packet-Based Mitigation of Blackhole Attacks in RPL-Based IoT
inferred← citeshttps://doi.org/10.1007/s11227-026-08697-xopenalex-snapshot
Service placement in fog computing with conservative reinforcement learning and improved gray wolf optimization
inferred← citeshttps://doi.org/10.1007/s11301-024-00441-0openalex-snapshot
Out of the fog: fog computing-enabled AI to support smart marketing management
inferred← citeshttps://doi.org/10.1007/s11831-023-10021-2openalex-snapshot
Next Generation Task Offloading Techniques in Evolving Computing Paradigms: Comparative Analysis, Current Challenges, and Future Research Perspectives
inferred← citeshttps://doi.org/10.1007/s11831-025-10311-xopenalex-snapshot
Traffic Congestion Estimation and Control: A Comprehensive Review of the Applied Computational Intelligence Models
inferred← citeshttps://doi.org/10.1007/s11831-026-10579-7openalex-snapshot
A Comprehensive Survey on Fog Computing: Architectures, Techniques, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1007/s12083-025-02183-6openalex-snapshot
Toward a unified computing paradigm: a survey and roadmap for data management in integrated IoT, fog, and cloud services
inferred← citeshttps://doi.org/10.1007/s44163-025-00601-5openalex-snapshot
Towards smarter IoT through taxonomy and prospective directions for microservices placement in fog computing paradigms
inferred← citeshttps://doi.org/10.1016/b978-0-443-33439-9.00001-5openalex-snapshot
Regulatory frameworks, services, policy, and operations of fog computing and IoT-based technology
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.111179openalex-snapshot
Def-DReL: Towards a sustainable serverless functions deployment strategy for fog-cloud environments using deep reinforcement learning
inferred← citeshttps://doi.org/10.1016/j.dcan.2024.12.004openalex-snapshot
FedStrag: Straggler-aware federated learning for low resource devices
inferred← citeshttps://doi.org/10.1016/j.egyr.2025.01.039openalex-snapshot
Survey of energy-efficient fog computing: Techniques and recent advances
inferred← citeshttps://doi.org/10.1016/j.eswa.2025.128688openalex-snapshot
IoT service placement using improved ANFIS classifier and improved dung beetle optimization algorithm in Fog-Cloud computing
inferred← citeshttps://doi.org/10.1016/j.future.2023.09.014openalex-snapshot
Evaluating NiFi and MQTT based serverless data pipelines in fog computing environments
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101774openalex-snapshot
Comparison of distributed Machine Learning frameworks in a fog environment: Conceptual and Performance analysis
inferred← citeshttps://doi.org/10.1016/j.jksuci.2024.102069openalex-snapshot
A look into smart factory for Industrial IoT driven by SDN technology: A comprehensive survey of taxonomy, architectures, issues and future research orientations
inferred← citeshttps://doi.org/10.1016/j.neucom.2026.133115openalex-snapshot
Deep reinforcement learning with evolved actions for dynamic workflow scheduling in distributed fog computing
inferred← citeshttps://doi.org/10.1016/j.procs.2025.04.608openalex-snapshot
Advancing Fog-Edge Continuum: A Hybrid Approach Using GRL and Stable Matching for Task Offloading
inferred← citeshttps://doi.org/10.1016/j.suscom.2024.101070openalex-snapshot
An energy efficient fog-based internet of things framework to combat wildlife poaching
inferred← citeshttps://doi.org/10.1017/s1471068425100148openalex-snapshot
Application Placement with Constraint Relaxation
inferred← citeshttps://doi.org/10.1038/s41598-025-96974-9openalex-snapshot
EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments
inferred← citeshttps://doi.org/10.1038/s41598-026-49107-9openalex-snapshot
Enhancing smart factory performance via hybrid scheduling and intelligent resource management
inferred← citeshttps://doi.org/10.1088/1742-6596/2852/1/012004openalex-snapshot
Optimizing resource utilization in cloud and fog computing environments using Hidden Markov Model
inferred← citeshttps://doi.org/10.1088/2631-8695/add64eopenalex-snapshot
A systematic review on resource allocation, task offloading, and security issues in vehicular fog computing: research challenges and future directions
inferred← citeshttps://doi.org/10.1109/access.2024.3447097openalex-snapshot
A Comprehensive Review of AI Techniques for Resource Management in Fog Computing: Trends, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2024.3463791openalex-snapshot
Artificial Intelligence Techniques for Securing Fog Computing Environments: Trends, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2025.3599190openalex-snapshot
Deep Learning-Centric Task Offloading in IoT-Fog-Cloud Continuum: A State-of-the-Art Review, Open Research Issues, and Future Directions
inferred← citeshttps://doi.org/10.1109/access.2025.3628679openalex-snapshot
Use-Case-Centric and Industry-Agnostic Architectural Patterns for Fog Systems
inferred← citeshttps://doi.org/10.1109/andescon61840.2024.10755570openalex-snapshot
Shaping the Future of Fog Computing Economics: A Systematic Review of the Most Important Business Models
inferred← citeshttps://doi.org/10.1109/delcon64804.2024.10866007openalex-snapshot
A Comprehensive Review of Routing in Fog Computing Using SDN
inferred← citeshttps://doi.org/10.1109/ic2e65552.2025.00044openalex-snapshot
Declarative application management with Kubernetes
inferred← citeshttps://doi.org/10.1109/icecmsn68058.2025.11382940openalex-snapshot
Q-Learning-Driven Intelligent Security Framework for Fog-Cloud Architecture
inferred← citeshttps://doi.org/10.1109/icicit69063.2026.11634109openalex-snapshot
Real-Time Data Processing in Cloud-Native Applications using Azure Stream Analytics and ML
inferred← citeshttps://doi.org/10.1109/icisc69558.2026.11681909openalex-snapshot
An Efficient Task Offloading in Fog Computing Using Hybrid RL
inferred← citeshttps://doi.org/10.1109/icscsa66339.2025.11171287openalex-snapshot
Survey on Improving Efficiency of Edge Computing
inferred← citeshttps://doi.org/10.1109/incet64471.2025.11140441openalex-snapshot
QC-MLQ - A Novel Quantum Computing-based Multi-Level Queue Scheduler for Hadoop-integrated Fog Computing Environment
inferred← citeshttps://doi.org/10.1109/isaect68904.2025.11318668openalex-snapshot
Federated Learning Enhanced IoT based Adaptive Lighting System with Pedestrain Detection
inferred← citeshttps://doi.org/10.1109/iwcmc61514.2024.10592405openalex-snapshot
Real-time Emergency Message Dissemination in IoV: A Cluster-based Approach with SDN and Fog Computing
inferred← citeshttps://doi.org/10.1109/jsen.2024.3436612openalex-snapshot
Coherent Taxonomy of Vehicular Ad Hoc Networks (VANETs) Enabled by Fog Computing: A Review
inferred← citeshttps://doi.org/10.1109/jsyst.2024.3392290openalex-snapshot
An Automated Edge Computing Approach for IoT Device Registration and Application Deployment
inferred← citeshttps://doi.org/10.1109/ucc63386.2024.00011openalex-snapshot
A Cost-Efficient Resource Allocation for Fog Computing with Users and Providers Perspective
inferred← citeshttps://doi.org/10.1109/ucc63386.2024.00075openalex-snapshot
Vector Search Performance Enhancements on Limited-Memory Edge Devices
inferred← citeshttps://doi.org/10.1109/wd67713.2025.11302580openalex-snapshot
Scalable Optimization of Edge-Cloud Resource Allocation for IoT in Smart Cities
inferred← citeshttps://doi.org/10.1145/3747186openalex-snapshot
Scaling Approaches for Serverless Data Pipelines in Edge and Fog Computing Environments: A Performance Evaluation
inferred← citeshttps://doi.org/10.1145/3801438.3803132openalex-snapshot
Construction and Application Evaluation of Artificial Intelligence Practice Teaching Platform Based on Open Source Hardware and Edge Computing
inferred← citeshttps://doi.org/10.1186/s12911-026-03603-0openalex-snapshot
Optimized task allocation in SDN-enabled 5G IoMT networks using fog computing
inferred← citeshttps://doi.org/10.1186/s13638-025-02431-6openalex-snapshot
Securing fog computing in healthcare with a zero-trust approach and blockchain
inferred← citeshttps://doi.org/10.1186/s13677-025-00776-3openalex-snapshot
IoT-enabled fog computing framework: heat stroke risk analysis
inferred← citeshttps://doi.org/10.21203/rs.3.rs-10249260/v1openalex-snapshot
ST-KEDA: Predictive Cost-Aware Autoscaling for Kubernetes Microservices via Spectral- Temporal Demand Forecasting
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4582533/v1openalex-snapshot
Intelligent Caching and Offloading Technique for Dew-assisted Mobile IoTs: A Distributed Deep Reinforcement Learning Framework
inferred← citeshttps://doi.org/10.26483/ijarcs.v16i3.7291openalex-snapshot
AN EFFICIENT HYBRID FRAMEWORK FOR OPTIMAL RESOURCE ALLOCATION IN IOT-FOG-CLOUD SYSTEM
inferred← citeshttps://doi.org/10.3389/fcomp.2026.1740606openalex-snapshot
A new Gaussian Black-winged Kite Algorithm for task scheduling optimization of industrial IoT applications in fog computing environment
inferred← citeshttps://doi.org/10.3389/friot.2026.1883673openalex-snapshot
Artificial intelligence-driven resource management in edge-cloud computing continuum for internet of things applications: new trends and future directions
inferred← citeshttps://doi.org/10.3389/friot.2026.1893789openalex-snapshot
Community-informed identification and analysis of wildlife poaching hotspots for targeted IoT deployment
inferred← citeshttps://doi.org/10.3390/a18040230openalex-snapshot
Scalable Resource Provisioning Framework for Fog Computing Using LLM-Guided Q-Learning Approach
inferred← citeshttps://doi.org/10.3390/app15063081openalex-snapshot
Verifiable Key-Aggregate Searchable Encryption Scheme for Fog-Based Internet of Autonomous Vehicles
inferred← citeshttps://doi.org/10.3390/computers14090390openalex-snapshot
Optimizing Kubernetes with Multi-Objective Scheduling Algorithms: A 5G Perspective
inferred← citeshttps://doi.org/10.3390/drones9010023openalex-snapshot
Task Offloading Optimization Using PSO in Fog Computing for the Internet of Drones
inferred← citeshttps://doi.org/10.3390/fi16070248openalex-snapshot
Multi-Agent Dynamic Fog Service Placement Approach
inferred← citeshttps://doi.org/10.3390/informatics11040071openalex-snapshot
Edge Computing and Cloud Computing for Internet of Things: A Review
inferred← citeshttps://doi.org/10.3390/iot5010007openalex-snapshot
Analyzing Threats and Attacks in Edge Data Analytics within IoT Environments
inferred← citeshttps://doi.org/10.3390/jsan15040065openalex-snapshot
Trust Scoring for Edge–Fog–Cloud IIoT Networks Using Deep Learning
inferred← citeshttps://doi.org/10.3390/math13172768openalex-snapshot
Small Language Model-Guided Quantile Temporal Difference Learning for Improved IoT Application Placement in Fog Computing
inferred← citeshttps://doi.org/10.3390/s24227412openalex-snapshot
An Entropy-Based Clustering Algorithm for Real-Time High-Dimensional IoT Data Streams
inferred← citeshttps://doi.org/10.3390/s25051383openalex-snapshot
Task-Offloading Optimization Using a Genetic Algorithm in Hybrid Fog Computing for the Internet of Drones
inferred← citeshttps://doi.org/10.3390/s25113488openalex-snapshot
Future of Telepresence Services in the Evolving Fog Computing Environment: A Survey on Research and Use Cases
inferred← citeshttps://doi.org/10.36548/jismac.2024.3.007openalex-snapshot
Blockchain-Integrated Security Framework for Fog Networking of Connected Vehicles
inferred← citeshttps://doi.org/10.4018/979-8-3373-4387-7.ch008openalex-snapshot
Privacy, Security, and Trust in Blockchain-Secured Edge/Fog Services
inferred← citeshttps://doi.org/10.56279/jicts.v2i2.125openalex-snapshot
Design of Fog-based Computing Architecture for Enhancing Secondary Distribution Grid Services Management
inferred← citeshttps://doi.org/10.5753/etc.2024.2432openalex-snapshot
Análise da Alocação de Recursos em Smart Cities e Fog Computing abordando Múltiplos Períodos e Serviços
inferred← citeshttps://doi.org/10.5753/jisa.2025.5076openalex-snapshot
Performance Evaluation of a Camera Surveillance System in Smart Buildings Using Queuing Models
inferred← citeshttps://doi.org/10.5753/sbrc.2025.5744openalex-snapshot
Optimizing Intelligent Camera Surveillance in Smart Buildings: An SPN-based Edge-Fog Analysis
inferred← citeshttps://doi.org/10.5753/sbrc_estendido.2025.7652openalex-snapshot
Estratégias e Análises para Alocação Eficiente de Recursos em Smart Cities com Edge e Cloud Computing
inferred← citeshttps://doi.org/10.58414/scientifictemper.2025.16.2.11openalex-snapshot
Energy efficient techniques for iot application on resource aware fog computing paradigm
inferred← citeshttps://doi.org/10.70675/62d7fd26z1815z44e7z9579z53eede2d070fopenalex-snapshot
Assurance de la qualité de service avant le déploiement des systèmes fog avec l’ingénierie basée sur des modèles et DevOps
Editorial review for independent work. ICSAC — the Institute for Complexity
Science and Advanced Computing — runs a structured editorial panel for researchers
publishing outside journals, and publishes on CiteStamp rails. Submission is free
and goes through ORCID: icsacinstitute.org/submit.