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Energy-Aware Optimum Offloading Strategies in Fog-Cloud Architectures: A Lyapunov Based Scheme

https://doi.org/10.1109/access.2023.3295496
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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/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/10.1007/978-3-031-79995-2openalex-snapshot
Stochastic Network Optimization with Application to Communication and Queueing Systems
inferredcites →https://doi.org/10.1007/s10723-018-9468-9openalex-snapshot
A Mobile IoT Device Simulator for IoT-Fog-Cloud Systems
inferredcites →https://doi.org/10.1016/j.simpat.2019.102034openalex-snapshot
Fog to cloud and network coded based architecture: Minimizing data download time for smart mobility
inferredcites →https://doi.org/10.1016/j.simpat.2021.102292openalex-snapshot
QoS Performance Enhancement Policy through Combining Fog and SDN
inferredcites →https://doi.org/10.1016/j.simpat.2021.102307openalex-snapshot
Fog-Integrated Cloud Architecture enabled multi-attribute combinatorial reverse auctioning framework
inferredcites →https://doi.org/10.1016/j.simpat.2021.102353openalex-snapshot
Metaheuristics for scheduling of heterogeneous tasks in cloud computing environments: Analysis, performance evaluation, and future directions
inferredcites →https://doi.org/10.1109/access.2019.2927895openalex-snapshot
YAFS: A Simulator for IoT Scenarios in Fog Computing
inferredcites →https://doi.org/10.1109/comst.2017.2771153openalex-snapshot
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/ficloud.2017.55openalex-snapshot
Converging Mobile Edge Computing, Fog Computing, and IoT Quality Requirements
inferredcites →https://doi.org/10.1109/iccnea50255.2020.00050openalex-snapshot
Research on Offloading Strategy in Edge Computing of Internet of Things
inferredcites →https://doi.org/10.1109/infocom.2017.8057196openalex-snapshot
QoE and power efficiency tradeoff for fog computing networks with fog node cooperation
inferredcites →https://doi.org/10.1109/infocom.2018.8485977openalex-snapshot
Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2945066openalex-snapshot
PORA: Predictive Offloading and Resource Allocation in Dynamic Fog Computing Systems
inferredcites →https://doi.org/10.1109/jiot.2020.2964590openalex-snapshot
Game-Theoretic Resource Allocation for Fog-Based Industrial Internet of Things Environment
inferredcites →https://doi.org/10.1109/mic.2017.36openalex-snapshot
Fog Orchestration for Internet of Things Services
inferredcites →https://doi.org/10.1109/mnet.011.1900602openalex-snapshot
SDN-NFV-Aided Edge-Cloud Interplay for 5G-Envisioned Energy Internet Ecosystem
inferredcites →https://doi.org/10.1109/mvt.2018.2883336openalex-snapshot
Mobile Edge Computing-Assisted Admission Control in Vehicular Networks: The Convergence of Communication and Computation
inferredcites →https://doi.org/10.1109/tgcn.2019.2960767openalex-snapshot
Energy-Optimal Dynamic Computation Offloading for Industrial IoT in Fog Computing
inferredcites →https://doi.org/10.1109/tii.2018.2843802openalex-snapshot
Industrial IoT Data Scheduling Based on Hierarchical Fog Computing: A Key for Enabling Smart Factory
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.2020.2998105openalex-snapshot
A Secure Fog-Based Architecture for Industrial Internet of Things and Industry 4.0
inferredcites →https://doi.org/10.1109/tii.2020.3021024openalex-snapshot
Deep Reinforcement Learning Based Computation Offloading in Fog Enabled Industrial Internet of Things
inferredcites →https://doi.org/10.1109/tpds.2017.2715327openalex-snapshot
Realistic and Scalable Benchmarking Cloud File Systems: Practices and Lessons from AliCloud
inferredcites →https://doi.org/10.1145/3463274.3463364openalex-snapshot
Fog Based Energy Efficient Process Framework for Smart Building

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.2139/ssrn.4656653openalex-extracted
inferred← citeshttps://doi.org/10.1016/j.asoc.2024.112567openalex-snapshot
Adaptive probabilistic neural network based edge data center authentication for secure load balancing in fog computing
inferred← citeshttps://doi.org/10.1016/j.engappai.2025.112938openalex-snapshot
Leveraging cutting-edge technologies into energy management smart buildings: An era of revolution
inferred← citeshttps://doi.org/10.1016/j.future.2026.108490openalex-snapshot
AI-Driven energy forecasting in smart buildings: A federated deep learning framework for Edge-Fog systems
inferred← citeshttps://doi.org/10.1016/j.simpat.2025.103170openalex-snapshot
Comparing Control Theory and Deep Reinforcement Learning techniques for decentralized task offloading in the edge–cloud continuum
inferred← citeshttps://doi.org/10.1109/cloud67622.2025.00041openalex-snapshot
ReSACO: A Meta Reinforcement Learning Method for Fast Offloading in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/iwcmc65282.2025.11059659openalex-snapshot
Bringing Intelligence to Energy Consumption in Smart Buildings: Leveraging Fog Computing and Federated Learning
inferred← citeshttps://doi.org/10.24138/jcomss-2024-0061openalex-snapshot
Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions
inferred← citeshttps://doi.org/10.3390/s24092758openalex-snapshot
An Analytical Model of IaaS Architecture for Determining Resource Utilization
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