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Fog computing dynamic load balancing mechanism based on graph repartitioning
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inferred← citeshttps://doi.org/10.1002/9781119593171.ch14openalex-snapshot
Advancements and Applications in Fog Computing
inferred← citeshttps://doi.org/10.1002/cpe.6687openalex-snapshot
Intelligent admission control manager for fog‐integrated cloud: A hybrid machine learning approach
inferred← citeshttps://doi.org/10.1002/cpe.7183openalex-snapshot
Load balancing techniques for fog computing environment: Comparison, taxonomy, open issues, and challenges
inferred← citeshttps://doi.org/10.1002/cpe.7741openalex-snapshot
Edge computing: A systematic mapping study
inferred← citeshttps://doi.org/10.1002/dac.3926openalex-snapshot
Elucidating the challenges for the praxis of fog computing: An aspect‐based study
inferred← citeshttps://doi.org/10.1002/dac.4583openalex-snapshot
Task scheduling approaches in fog computing: A systematic review
inferred← citeshttps://doi.org/10.1002/dac.5049openalex-snapshot
Energy‐efficient fog computing in Internet of Things based on Routing Protocol for Low‐Power and Lossy Network with Contiki
inferred← citeshttps://doi.org/10.1002/dac.5091openalex-snapshot
Multilevel controller‐assisted intrinsically modified ant colony optimization heuristic‐based load‐balancing model for mega cloud infrastructures
inferred← citeshttps://doi.org/10.1002/ett.3626openalex-snapshot
Mobile‐aware dynamic resource management for edge computing
inferred← citeshttps://doi.org/10.1002/ett.4523openalex-snapshot
A systematic review of task scheduling approaches in fog computing
inferred← citeshttps://doi.org/10.1002/itl2.422openalex-snapshot
Migration of VNF instances for service continuity
inferred← citeshttps://doi.org/10.1002/spe.2824openalex-snapshot
A cache‐based approach toward improved scheduling in fog computing
inferred← citeshttps://doi.org/10.1002/spe.3000openalex-snapshot
Resource provisioning in collaborative fog computing for multiple delay‐sensitive users
inferred← citeshttps://doi.org/10.1007/978-3-030-41005-6_5openalex-snapshot
A Load Balancing Algorithm for Fog Computing Environments
inferred← citeshttps://doi.org/10.1007/978-3-030-48513-9_22openalex-snapshot
Efficient Multi-user Computation Scheduling Strategy Based on Clustering for Mobile-Edge Computing
inferred← citeshttps://doi.org/10.1007/978-3-030-71485-7_8openalex-snapshot
A Study on Optimal Framework with Fog Computing for Smart City
inferred← citeshttps://doi.org/10.1007/978-3-030-72792-5_4openalex-snapshot
A Load Balancing-Based Real-Time Traffic Redirection Method for Edge Networks
inferred← citeshttps://doi.org/10.1007/978-3-031-23116-2_11openalex-snapshot
A Dual Ring Architecture Using Controllers for Better Load Balancing in a Fog Computing Environment
inferred← citeshttps://doi.org/10.1007/978-3-031-85666-2_7openalex-snapshot
LBFOG: Load Balancing Among Edge Nodes in the Fog Computing Framework
inferred← citeshttps://doi.org/10.1007/978-3-032-10386-4_11openalex-snapshot
Optimizing Resource Utilization in Fog Computing with Review of Load Balancing Algorithms
inferred← citeshttps://doi.org/10.1007/978-981-10-5780-9_8openalex-snapshot
Priority Based Service Broker Policy for Fog Computing Environment
inferred← citeshttps://doi.org/10.1007/978-981-15-2071-6_1openalex-snapshot
An Efficient Honey Bee Approach for Load Adjusting in Cloud Environment
inferred← citeshttps://doi.org/10.1007/978-981-15-4451-4_53openalex-snapshot
Techniques for Task Scheduling in Cloud and Fog Environment: A Survey
inferred← citeshttps://doi.org/10.1007/978-981-16-7018-3_25openalex-snapshot
QoS-Based Load Balancing in Fog Computing
inferred← citeshttps://doi.org/10.1007/978-981-99-9235-5_16openalex-snapshot
A Machine Learning and Fuzzy-Based Reliable Data Collection and Communication in AioT—Fog Computing Environment
inferred← citeshttps://doi.org/10.1007/s00607-023-01216-3openalex-snapshot
A decentralized prediction-based workflow load balancing architecture for cloud/fog/IoT environments
inferred← citeshttps://doi.org/10.1007/s10115-021-01649-2openalex-snapshot
Effective scheduling algorithm for load balancing in fog environment using CNN and MPSO
inferred← citeshttps://doi.org/10.1007/s10462-025-11145-6openalex-snapshot
Multi-strategy fusion mayfly algorithm on task offloading and scheduling for IoT-based fog computing multi-tasks learning
inferred← citeshttps://doi.org/10.1007/s10586-017-1559-zopenalex-snapshot
An optimized service broker routing policy based on differential evolution algorithm in fog/cloud environment
inferred← citeshttps://doi.org/10.1007/s10586-021-03286-4openalex-snapshot
Fog computing and Internet of Things in one building block: a survey and an overview of interacting technologies
inferred← citeshttps://doi.org/10.1007/s10586-021-03496-wopenalex-snapshot
Fog computing in enabling 5G-driven emerging technologies for development of sustainable smart city infrastructures
inferred← citeshttps://doi.org/10.1007/s10586-022-03554-xopenalex-snapshot
Energy efficient load balancing hybrid priority assigned laxity algorithm in fog computing
inferred← citeshttps://doi.org/10.1007/s10586-023-04219-zopenalex-snapshot
A hybrid approach for fault-tolerance aware load balancing in fog computing
inferred← citeshttps://doi.org/10.1007/s10586-023-04255-9openalex-snapshot
Hybrid-grained migration method for load redistribution in heavily-loaded fog nodes
inferred← citeshttps://doi.org/10.1007/s10586-024-04403-9openalex-snapshot
A distributed load balancing method for IoT/Fog/Cloud environments with volatile resource support
inferred← citeshttps://doi.org/10.1007/s10586-024-04984-5openalex-snapshot
Predictive analysis-based load balancing and fault tolerance in fog computing environment
inferred← citeshttps://doi.org/10.1007/s10723-019-09491-1openalex-snapshot
Resource Management Approaches in Fog Computing: a Comprehensive Review
inferred← citeshttps://doi.org/10.1007/s10791-026-10550-xopenalex-snapshot
Bibliometric insights and conceptual grid framework for load balancing in fog computing for smart city
inferred← citeshttps://doi.org/10.1007/s11227-020-03600-8openalex-snapshot
A systematic study of load balancing approaches in the fog computing environment
inferred← citeshttps://doi.org/10.1007/s11227-021-03885-3openalex-snapshot
TRAM: Technique for resource allocation and management in fog computing environment
inferred← citeshttps://doi.org/10.1007/s11227-022-04338-1openalex-snapshot
Classification of resource management approaches in fog/edge paradigm and future research prospects: a systematic review
inferred← citeshttps://doi.org/10.1007/s11227-026-08316-9openalex-snapshot
Optimized-based load balancing in a hybrid cloud–fog architecture
inferred← citeshttps://doi.org/10.1007/s12065-020-00468-8openalex-snapshot
An efficient priority based resource management framework for IoT enabled applications in the cloud
inferred← citeshttps://doi.org/10.1007/s12083-022-01412-6openalex-snapshot
A3C-based load-balancing solution for computation offloading in SDN-enabled vehicular edge computing networks
inferred← citeshttps://doi.org/10.1007/s13204-021-01970-wopenalex-snapshot
Load balancing in the fog nodes using particle swarm optimization-based enhanced dynamic resource allocation method
inferred← citeshttps://doi.org/10.1007/s13369-018-3169-3openalex-snapshot
SSLB: Self-Similarity-Based Load Balancing for Large-Scale Fog Computing
inferred← citeshttps://doi.org/10.1007/s42979-023-02235-9openalex-snapshot
Fog Computing Complete Review: Concepts, Trends, Architectures, Technologies, Simulators, Security Issues, Applications, and Open Research Fields
inferred← citeshttps://doi.org/10.1016/j.asej.2023.102561openalex-snapshot
Fog computing effective load balancing and strategy for deadlock prediction management
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.110080openalex-snapshot
Optimal Energy-efficient Resource Allocation and Fault Tolerance scheme for task offloading in IoT-FoG Computing Networks
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2019.05.011openalex-snapshot
Overload prediction and avoidance for maintaining optimal working condition in a fog node
inferred← citeshttps://doi.org/10.1016/j.compeleceng.2021.107223openalex-snapshot
Trust-based load-offloading protocol to reduce service delays in fog-computing-empowered IoT
inferred← citeshttps://doi.org/10.1016/j.cosrev.2023.100616openalex-snapshot
Server placement in mobile cloud computing: A comprehensive survey for edge computing, fog computing and cloudlet
inferred← citeshttps://doi.org/10.1016/j.future.2018.08.043openalex-snapshot
Modeling industry 4.0 based fog computing environments for application analysis and deployment
inferred← citeshttps://doi.org/10.1016/j.future.2019.05.015openalex-snapshot
Improving fog computing performance via F og-2- F og collaboration
inferred← citeshttps://doi.org/10.1016/j.icte.2021.05.004openalex-snapshot
A Review on Fog Computing: Architecture, Fog with IoT, Algorithms and Research Challenges
inferred← citeshttps://doi.org/10.1016/j.jksuci.2021.10.003openalex-snapshot
Load balancing between fog and cloud in fog of things based platforms through software-defined networking
inferred← citeshttps://doi.org/10.1016/j.jnca.2020.102674openalex-snapshot
QoS-aware service provisioning in fog computing
inferred← citeshttps://doi.org/10.1016/j.procs.2021.07.015openalex-snapshot
Sustainability of Load Balancing Techniques in Fog Computing Environment: Review
inferred← citeshttps://doi.org/10.1016/j.simpat.2019.102017openalex-snapshot
Design and exploration of load balancers for fog computing using fuzzy logic
inferred← citeshttps://doi.org/10.1016/j.sjbs.2017.01.043openalex-snapshot
A resource-sharing model based on a repeated game in fog computing
inferred← citeshttps://doi.org/10.1016/j.suscom.2019.100355openalex-snapshot
A novel four-tier architecture for delay aware scheduling and load balancing in fog environment
inferred← citeshttps://doi.org/10.1016/j.suscom.2021.100566openalex-snapshot
WITHDRAWN: An Energy Efficient Hybrid Priority Assigned Laxity Algorithm for Load Balancing in Fog Computing
inferred← citeshttps://doi.org/10.1016/j.suscom.2023.100894openalex-snapshot
An energy efficient and secure model using chaotic levy flight deep Q-learning in healthcare system
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A distributed multi-level model with dynamic replacement for the storage of smart edge computing
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102033openalex-snapshot
Storage as a service in Fog computing : A systematic review
inferred← citeshttps://doi.org/10.1080/17517575.2017.1304579openalex-snapshot
Fog computing job scheduling optimization based on bees swarm
inferred← citeshttps://doi.org/10.1093/comjnl/bxz108openalex-snapshot
Secure Computing Resource Allocation Framework For Open Fog Computing
inferred← citeshttps://doi.org/10.1109/access.2017.2692960openalex-snapshot
From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework
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A Novel Bio-Inspired Hybrid Algorithm (NBIHA) for Efficient Resource Management in Fog Computing
inferred← citeshttps://doi.org/10.1109/access.2019.2927538openalex-snapshot
Edge Computing and Networking: A Survey on Infrastructures and Applications
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Dynamic Computation Offloading Based on Graph Partitioning in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/access.2020.2975741openalex-snapshot
Efficient Task Offloading for IoT-Based Applications in Fog Computing Using Ant Colony Optimization
inferred← citeshttps://doi.org/10.1109/access.2020.2983742openalex-snapshot
A Multi-Objective Task Scheduling Method for Fog Computing in Cyber-Physical-Social Services
inferred← citeshttps://doi.org/10.1109/access.2020.3003263openalex-snapshot
A Novel Strategy to Achieve Bandwidth Cost Reduction and Load Balancing in a Cooperative Three-Layer Fog-Cloud Computing Environment
inferred← citeshttps://doi.org/10.1109/access.2020.3007944openalex-snapshot
Hierarchical Load Balancing and Clustering Technique for Home Edge Computing
inferred← citeshttps://doi.org/10.1109/access.2021.3074962openalex-snapshot
Decentralized Edge-to-Cloud Load Balancing: Service Placement for the Internet of Things
inferred← citeshttps://doi.org/10.1109/access.2022.3152787openalex-snapshot
A Survey on Mobile Edge Computing Infrastructure: Design, Resource Management, and Optimization Approaches
inferred← citeshttps://doi.org/10.1109/access.2024.3357122openalex-snapshot
An Energy-Aware Task Offloading and Load Balancing for Latency-Sensitive IoT Applications in the Fog-Cloud Continuum
inferred← citeshttps://doi.org/10.1109/aiiot58121.2023.10174530openalex-snapshot
Running Virtual Services for the Intelligent Edge: A Review
inferred← citeshttps://doi.org/10.1109/argencon49523.2020.9505446openalex-snapshot
Relocating the Load-Shedding Strategy in the Data Stream Processing Architecture
inferred← citeshttps://doi.org/10.1109/bdcloud.2018.00166openalex-snapshot
Fog Computing and Its Role in Development of Smart Applications
inferred← citeshttps://doi.org/10.1109/ccnc49033.2022.9700660openalex-snapshot
Efficient Load Migration Scheme for Fog Networks
inferred← citeshttps://doi.org/10.1109/comst.2017.2771153openalex-snapshot
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
inferred← citeshttps://doi.org/10.1109/comst.2018.2814571openalex-snapshot
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
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Load Balancing in the Fog of Things Platforms Through Software-Defined Networking
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Hardware-assisted Service Live Migration in Resource-limited Edge Computing Systems
inferred← citeshttps://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00039openalex-snapshot
A Novel Fog Node Aggregation Approach for Users in Fog Computing Environment
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Fog Computing Framework for Internet of Things Applications
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A Holistic Study on Emerging IoT Networking Paradigms
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A Rank Scheduling Mechanism for Fog Environments
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Fog resource selection using historical executions
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Cooperative Fog Communications using A Multi-Level Load Balancing
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Asynchronous Coarse-Grained Load Migration Scheme for IoT Applications in Fog Networks
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Towards a Scalable and QoS-Aware Load Balancing Platform for Edge Computing Environments
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Agent based Load Optimization in Sensor Cloud
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A Review of An Idea For Secure Resource Usage And Load Balancing Using Integrated Cloud Computing Strategies
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Cloud-fog computing for information-centric Internet-of-Things applications
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Security-based service broker policy for FOG computing environment
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Intelligent Edge Security with Dynamic Task Offloading in Fog Environment
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Analysis of Efficient Task Scheduling Algorithms in Fog Computing Environment
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A Systematic Review of Task Offloading & Load Balancing Methods in a Fog Computing Environment: Major Highlights & Research Areas
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Graph Analysis of Fog Computing Systems for Industry 4.0
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Modified Squirrel Algorithm for Fault Tolerance Using Photoplethysmography in IoT Applications
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Utilization of Fog Computing in Task Scheduling and Offloading: Modern Growth and Future Challenges
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A Review of Load Balancing in Fog Computing
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A Brief Overview of Load Balancing Techniques in Fog Computing Environment
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An exploration of Fog procedures in comparison with IoT, design, and assessment issues
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An Extensive Study of Scheduling the Task using Load Balance in Fog Computing
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Networked Virtual Machine Placement in Edge Cloud Systems
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Performance Modeling of Representative Load Sharing Schemes for Clustered Servers in Multiaccess Edge Computing
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Routing in Fog-Enabled IoT Platforms: A Survey and an SDN-Based Solution
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Opportunistic Fog for IoT: Challenges and Opportunities
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Dynamic Resource Allocation in Fog-Cloud Hybrid Systems Using Multicriteria AHP Techniques
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MSRM-IoT: A Reliable Resource Management for Cloud, Fog, and Mist-Assisted IoT Networks
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Graph-Reinforcement-Learning-Based Task Offloading for Multiaccess Edge Computing
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LBATSM: Load Balancing Aware Task Selection and Migration Approach in Fog Computing Environment
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Maximizing the Utilization of Fog Computing in Internet of Vehicle Using SDN
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Nature Inspired Meta-Heuristic Algorithms based Load Balancing in Fog Computing Environment
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Load-Aware Resource Scheduling in Fog Computing Based Delay-Sensitive IoT Networks
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Load Balancing Algorithms in Fog Computing
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Task Offloading in Vehicular Edge Computing Networks: A Load-Balancing Solution
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Stackelberg Game-Based Joint Computing Resource Allocation and Task Offloading Method in Edge Computing
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IoT-Fog Optimal Workload via Fog Offloading
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Deadline Aware Data Offloading in Fog Computing
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Community-based allocation and migration strategies for fog computing
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Survey on Architectual and Energetic Aspects on Fog Computing Environment
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A Two‐Decade Analysis of Load Balancing in Cloud Computing: Implications for Educational System and Future Directions
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Profit-aware Resource Management for Edge Computing Systems
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An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment
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Resource Management in Fog/Edge Computing
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Pre-Overload Migration Scheme for NFV-based Fog Computing
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A Review of Techniques and Methods for IoT Applications in Collaborative Cloud-Fog Environment
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A Review of Evolutionary Trends in Cloud Computing and Applications to the Healthcare Ecosystem
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Application of Basketball Training System Based on Dynamic Intelligent Fog Computing Network
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Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization
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Fog computing scheduling algorithm for smart city
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ScalEdge: A framework for scalable edge computing in Internet of things–based smart systems
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Job scheduling problem in fog-cloud-based environment using reinforced social spider optimization
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Load Balancing in Fog Computing: A Detailed Survey
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A fault-tolerant aware scheduling method for fog-cloud environments
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An Ant-colony Based Model for Load Balancing in Fog Environments
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Fog Network Area Management Model for Managing Fog-cloud Resources in IoT Environment
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RESPONSE TIME AWARE TASK-PLACEMENT STRATEGY FOR IOT-FOG NETWORK
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Dynamic Task Scheduling using Trained Neural Network and Genetic Algorithm
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A Content Sharing System Using Dynamic Fog Consisting of Peer-to-Peer Terminals and Its Simple Evaluation
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Minimizing Energy Consumption and SLA Violation in Fog Computing Using Artificial Neural Network
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Mathematical Models for Task Assignment with Service Level Agreement in Fog Computing Networks
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Multiple Objective–Based Modified Exponential Gravitational Search Algorithm to VMM Strategy for Load Balancing in Cloud
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Proactive load balancing mechanism for fog computing supported by parked vehicles in IoV-SDN
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Algorithms for Computing in Fog Systems: Principles, Algorithms, and Challenges
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Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions
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A Fog Computing Approach for Cognitive, Reliable and Trusted Distributed Systems
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Enhanced Evolutionary Computing Assisted Robust SLA-Centric Load Balancing System for Mega Cloud Data Centers
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Routing Strategy for Internet of Vehicles based on Hierarchical SDN and Fog Computing
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Scheduling Algorithms in Fog Computing: A Survey
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Joint Proceedings of the Workshops on Quantum Information Technologies and Edge Computing (QuaInT+doors 2021). Zhytomyr, Ukraine, April 11, 2021
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Classification of Request-Based Mobility Load Balancing in Fog Computing
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Algorithm for Determining the Optimal Weights for the Akushsky Core Function with an Approximate Rank
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Moving towards Smart Cities: A Selection of Middleware for Fog-to-Cloud Services
inferred← citeshttps://doi.org/10.3390/app9091730openalex-snapshot
Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment
inferred← citeshttps://doi.org/10.3390/electronics11040566openalex-snapshot
Intelligent Load-Balancing Framework for Fog-Enabled Communication in Healthcare
inferred← citeshttps://doi.org/10.3390/electronics9040686openalex-snapshot
A Load Balancing Algorithm for Mobile Devices in Edge Cloud Computing Environments
inferred← citeshttps://doi.org/10.3390/fi14010013openalex-snapshot
DD-FoG: Intelligent Distributed Dynamic FoG Computing Framework
inferred← citeshttps://doi.org/10.3390/info15060317openalex-snapshot
Reliablity and Security for Fog Computing Systems
inferred← citeshttps://doi.org/10.3390/s19214807openalex-snapshot
Fog Computing Enabling Industrial Internet of Things: State-of-the-Art and Research Challenges
inferred← citeshttps://doi.org/10.3390/sym14122554openalex-snapshot
Dynamic Load Balancing Techniques in the IoT: A Review
inferred← citeshttps://doi.org/10.35940/ijeat.b3364.129219openalex-snapshot
Performance Testing in A Multi Tenant Cloud Architecture using Genetic Algorithm
inferred← citeshttps://doi.org/10.35940/ijitee.i1022.0789s19openalex-snapshot
An Optimized Model for Energy Efficiency on Cloud System using PSO & CUCKOO Search Algorithm
inferred← citeshttps://doi.org/10.4018/978-1-6684-5231-8.ch004openalex-snapshot
A Review of Trends, Opportunities, Practices, and Security Challenges in Cloud Computing for Telehealth
inferred← citeshttps://doi.org/10.4018/978-1-7998-0194-8.ch010openalex-snapshot
Towards Efficient Resource Management in Fog Computing
inferred← citeshttps://doi.org/10.4018/ijaci.2019100104openalex-snapshot
Efficient Solution for Load Balancing in Fog Computing Utilizing Artificial Bee Colony
inferred← citeshttps://doi.org/10.4018/ijcac.2019070105openalex-snapshot
Dynamic Load Balancing Using Hybrid Approach
inferred← citeshttps://doi.org/10.4018/ijcac.2022010105openalex-snapshot
Load and Cost-Aware Min-Min Workflow Scheduling Algorithm for Heterogeneous Resources in Fog, Cloud, and Edge Scenarios
inferred← citeshttps://doi.org/10.4018/ijeoe.2021010102openalex-snapshot
Agent-Based Improved Neuro-Fuzzy for Load Balancing in Sensor Cloud
inferred← citeshttps://doi.org/10.4108/eai.27-2-2020.2303123openalex-snapshot
Survey on Load Balancing and Scheduling Algorithms in Cloud Integrated Fog Environment
inferred← citeshttps://doi.org/10.4316/aece.2018.04002openalex-snapshot
Supporting Location Transparent Services in a Mobile Edge Computing Environment
inferred← citeshttps://doi.org/10.48550/arxiv.2011.14706openalex-snapshot
Load balancing mechanisms in fog computing: A systematic review
inferred← citeshttps://doi.org/10.55056/ceur-ws.org/vol-2850/paper2.pdfopenalex-snapshot
Graph model of Fog Computing system
inferred← citeshttps://doi.org/10.55056/jec.569openalex-snapshot
Graph theory methods for fog computing: A pseudo-random task graph model for evaluating mobile cloud, fog and edge computing systems
inferred← citeshttps://doi.org/10.56578/ida030103openalex-snapshot
A Comparative Review of Internet of Things Model Workload Distribution Techniques in Fog Computing Networks
inferred← citeshttps://doi.org/10.5753/sbcup.2020.11215openalex-snapshot
Balanceamento de carga na borda da rede usando blockchain das coisas
inferred← citeshttps://doi.org/10.61186/jist.38787.12.48.264openalex-snapshot
Load Balancing Algorithms in Cloud, Fog Computing and Convergence of Fog and Cloud – A Survey
inferred← citeshttps://doi.org/10.70675/820d4653z0481z4b6bzab69zc3878d425700openalex-snapshot
Fog Computing pour l’Internet des objets
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.