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Proactive content caching in edge computing environment: A review

https://doi.org/10.1002/spe.3033
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What this work says

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

inferredcites →https://doi.org/10.1002/9781118979846.ch6openalex-snapshot
Proactive Caching in 5G Small Cell Networks
inferredcites →https://doi.org/10.1002/dac.3706openalex-snapshot
Proactive content caching by exploiting transfer learning for mobile edge computing
inferredcites →https://doi.org/10.1002/dac.4358openalex-snapshot
Improving caching resource management: A pricing economic approach using Cournot, Bertrand, and Stackelberg game models
inferredcites →https://doi.org/10.1002/ett.3689openalex-snapshot
Caching mechanism for mobile edge computing in V2I networks
inferredcites →https://doi.org/10.1002/ett.3739openalex-snapshot
Leveraging mobility and content caching for proactive load balancing in heterogeneous cellular networks
inferredcites →https://doi.org/10.1002/ett.3871openalex-snapshot
A high‐accurate content popularity prediction computational modeling for mobile edge computing using matrix completion technology
inferredcites →https://doi.org/10.1002/itl2.208openalex-snapshot
Mobile edge computation induced caching strategy for huge online education with college teachers and students
inferredcites →https://doi.org/10.1002/nem.2104openalex-snapshot
Community oriented in‐network caching and edge caching for over‐the‐top services in adaptive network conditions to improve performance
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.2681openalex-snapshot
SELFNET 5G mobile edge computing infrastructure: Design and prototyping
inferredcites →https://doi.org/10.1002/spe.2755openalex-snapshot
CloudSimSDN‐NFV: Modeling and simulation of network function virtualization and service function chaining in edge computing environments
inferredcites →https://doi.org/10.1002/spe.2758openalex-snapshot
BCEdge: Blockchain‐based resource management in D2D‐assisted mobile edge computing
inferredcites →https://doi.org/10.1007/978-3-030-03596-9_15openalex-snapshot
Optimal Edge User Allocation in Edge Computing with Variable Sized Vector Bin Packing
inferredcites →https://doi.org/10.1007/978-3-030-43795-4_5openalex-snapshot
Feasibility of Fog Computing
inferredcites →https://doi.org/10.1007/978-3-030-69893-5_7openalex-snapshot
Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions
inferredcites →https://doi.org/10.1007/978-981-15-5971-6_2openalex-snapshot
iGateLink: A Gateway Library for Linking IoT, Edge, Fog, and Cloud Computing Environments
inferredcites →https://doi.org/10.1007/s11036-020-01624-1openalex-snapshot
Vehicular Edge Computing and Networking: A Survey
inferredcites →https://doi.org/10.1007/s11276-018-1780-6openalex-snapshot
Techno-economic comparison of MIMO and DAS cost models in 5G networks
inferredcites →https://doi.org/10.1007/s11276-020-02248-9openalex-snapshot
ProRec: a unified content caching and replacement framework for mobile edge computing
inferredcites →https://doi.org/10.1007/s12083-020-00954-xopenalex-snapshot
Content caching based on mobility prediction and joint user Prefetch in Mobile edge networks
inferredcites →https://doi.org/10.1016/j.comnet.2020.107434openalex-snapshot
Optimized content centric networking for future internet: Dynamic popularity window based caching scheme
inferredcites →https://doi.org/10.1016/j.dcan.2019.08.004openalex-snapshot
Recent advances in mobile edge computing and content caching
inferredcites →https://doi.org/10.1016/j.engappai.2020.103785openalex-snapshot
Data Flow and Distributed Deep Neural Network based low latency IoT-Edge computation model for big data environment
inferredcites →https://doi.org/10.1016/j.future.2018.06.017openalex-snapshot
Proactive caching for edge computing-enabled industrial mobile wireless networks
inferredcites →https://doi.org/10.1016/j.future.2018.10.031openalex-snapshot
Nuoxus: A proactive caching model to manage multimedia content distribution on fog radio access networks
inferredcites →https://doi.org/10.1016/j.future.2019.11.041openalex-snapshot
Proactive content caching using surplus renewable energy: A win–win solution for both network service and energy providers
inferredcites →https://doi.org/10.1016/j.future.2019.12.050openalex-snapshot
A zone-based content pre-caching strategy in vehicular edge networks
inferredcites →https://doi.org/10.1016/j.ins.2020.02.042openalex-snapshot
Privacy-preserving federated k-means for proactive caching in next generation cellular networks
inferredcites →https://doi.org/10.1016/j.jnca.2017.12.001openalex-snapshot
Distributed data stream processing and edge computing: A survey on resource elasticity and future directions
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.simpat.2019.101982openalex-snapshot
A Scheduling Algorithm for a Fog Computing System with Bag-of-Tasks Jobs: Simulation and Performance Evaluation
inferredcites →https://doi.org/10.1049/iet-com.2018.5530openalex-snapshot
Energy‐efficient hierarchical cooperative caching optimisation for 5G networks
inferredcites →https://doi.org/10.1049/iet-com.2018.5553openalex-snapshot
Hierarchical collaborative caching in 5G networks
inferredcites →https://doi.org/10.1049/iet-its.2017.0261openalex-snapshot
Efficient caching strategy in content‐centric networking for vehicular ad‐hoc network applications
inferredcites →https://doi.org/10.1049/iet-net.2018.5111openalex-snapshot
Jointly caching and computation resource allocation for mobile edge networks
inferredcites →https://doi.org/10.1109/access.2017.2685434openalex-snapshot
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
inferredcites →https://doi.org/10.1109/access.2018.2848231openalex-snapshot
Joint Incentive Mechanism for Paid Content Caching and Price Based Cache Replacement Policy in Named Data Networking
inferredcites →https://doi.org/10.1109/access.2018.2874448openalex-snapshot
Online Caching and Cooperative Forwarding in Information Centric Networking
inferredcites →https://doi.org/10.1109/access.2018.2884913openalex-snapshot
DeepMEC: Mobile Edge Caching Using Deep Learning
inferredcites →https://doi.org/10.1109/access.2019.2898734openalex-snapshot
Popularity-Based Video Caching Techniques for Cache-Enabled Networks: A Survey
inferredcites →https://doi.org/10.1109/access.2019.2931449openalex-snapshot
Assessing the Energy Consumption of Proactive Mobile Edge Caching in Wireless Networks
inferredcites →https://doi.org/10.1109/access.2019.2936866openalex-snapshot
Learning a Hybrid Proactive and Reactive Caching Policy in Wireless Edge Under Dynamic Popularity
inferredcites →https://doi.org/10.1109/access.2019.2948399openalex-snapshot
What the Fog? Edge Computing Revisited: Promises, Applications and Future Challenges
inferredcites →https://doi.org/10.1109/access.2020.2983068openalex-snapshot
Proactive Edge Caching in Content-Centric Networks With Massive Dynamic Content Requests
inferredcites →https://doi.org/10.1109/access.2020.3009683openalex-snapshot
A Distributed Caching Scheme Using Non-Cooperative Game for Mobile Edge Networks
inferredcites →https://doi.org/10.1109/access.2020.3023771openalex-snapshot
Delay Optimization Strategy for Service Cache and Task Offloading in Three-Tier Architecture Mobile Edge Computing System
inferredcites →https://doi.org/10.1109/cc.2018.8424606openalex-snapshot
Proactive content delivery for vehicles over cellular networks: The fundamental benefits of computing and caching
inferredcites →https://doi.org/10.1109/ccnc.2019.8651737openalex-snapshot
Content Popularity Estimation in Edge-Caching Networks from Bayesian Inference Perspective
inferredcites →https://doi.org/10.1109/comst.2017.2758763openalex-snapshot
Integration of Networking, Caching, and Computing in Wireless Systems: A Survey, Some Research Issues, and Challenges
inferredcites →https://doi.org/10.1109/comst.2018.2820021openalex-snapshot
A Survey of Caching Techniques in Cellular Networks: Research Issues and Challenges in Content Placement and Delivery Strategies
inferredcites →https://doi.org/10.1109/comst.2019.2908280openalex-snapshot
On Mobile Edge Caching
inferredcites →https://doi.org/10.1109/globecom38437.2019.9013441openalex-snapshot
Proactive Replication Scheme for Resilient Content Delivery in Software Defined Networks
inferredcites →https://doi.org/10.1109/globecom42002.2020.9322208openalex-snapshot
User Preference Learning-Aided Collaborative Edge Caching for Small Cell Networks
inferredcites →https://doi.org/10.1109/glocom.2018.8647616openalex-snapshot
Federated Learning Based Proactive Content Caching in Edge Computing
inferredcites →https://doi.org/10.1109/icc.2016.7510919openalex-snapshot
Weighted network traffic offloading in cache-enabled heterogeneous networks
inferredcites →https://doi.org/10.1109/icc.2019.8761121openalex-snapshot
Learning-Based Cooperative Content Caching Policy for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/icc.2019.8761881openalex-snapshot
Proactive Caching in Mobile Networks with Delay Guarantees
inferredcites →https://doi.org/10.1109/icc.2019.8762007openalex-snapshot
Security Aware Content Caching for Next Generation Communication Networks
inferredcites →https://doi.org/10.1109/icc40277.2020.9148764openalex-snapshot
A Deep Reinforcement Learning Approach for Dynamic Contents Caching in HetNets
inferredcites →https://doi.org/10.1109/iccchina.2019.8855852openalex-snapshot
Popularity Tracking for Proactive Content Caching with Dynamic Factor Analysis
inferredcites →https://doi.org/10.1109/iccchina.2019.8855954openalex-snapshot
Impact of Prediction Uncertainty of Popularity Distribution on Proactive Caching
inferredcites →https://doi.org/10.1109/iccsn49894.2020.9139058openalex-snapshot
A Green DDPG Reinforcement Learning-Based Framework for Content Caching
inferredcites →https://doi.org/10.1109/icoin48656.2020.9016437openalex-snapshot
Deep Learning-based Predictive Caching in the Edge of a Network
inferredcites →https://doi.org/10.1109/icufn.2019.8806060openalex-snapshot
Proactive Cache System Using Cellular-Radio Information on MEC
inferredcites →https://doi.org/10.1109/icws.2019.00027openalex-snapshot
Data Caching Optimization in the Edge Computing Environment
inferredcites →https://doi.org/10.1109/infcomw.2018.8406950openalex-snapshot
Knowledge-centric proactive edge caching over mobile content distribution network
inferredcites →https://doi.org/10.1109/infocom.2015.7218465openalex-snapshot
On the complexity of optimal routing and content caching in heterogeneous networks
inferredcites →https://doi.org/10.1109/infocom42981.2021.9488910openalex-snapshot
Cocktail Edge Caching: Ride Dynamic Trends of Content Popularity with Ensemble Learning
inferredcites →https://doi.org/10.1109/itnec48623.2020.9085078openalex-snapshot
Group Behavior-Based Collaborative Caching for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2018.2866709openalex-snapshot
Recent Advances of Edge Cache in Radio Access Networks for Internet of Things: Techniques, Performances, and Challenges
inferredcites →https://doi.org/10.1109/jiot.2018.2883762openalex-snapshot
A $Q$ -Learning-Based Proactive Caching Strategy for Non-Safety Related Services in Vehicular Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2903245openalex-snapshot
Online Proactive Caching in Mobile Edge Computing Using Bidirectional Deep Recurrent Neural Network
inferredcites →https://doi.org/10.1109/jiot.2019.2956554openalex-snapshot
Collaborative Online Edge Caching With Bayesian Clustering in Wireless Networks
inferredcites →https://doi.org/10.1109/jiot.2019.2958097openalex-snapshot
Smart Collaborative Tracking for Ubiquitous Power IoT in Edge-Cloud Interplay Domain
inferredcites →https://doi.org/10.1109/jiot.2020.2986803openalex-snapshot
Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching
inferredcites →https://doi.org/10.1109/jiot.2020.3011286openalex-snapshot
A Machine Learning Approach for Task and Resource Allocation in Mobile-Edge Computing-Based Networks
inferredcites →https://doi.org/10.1109/jiot.2020.3014370openalex-snapshot
CREAT: Blockchain-Assisted Compression Algorithm of Federated Learning for Content Caching in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2020.3020911openalex-snapshot
Achieving Democracy in Edge Intelligence: A Fog-Based Collaborative Learning Scheme
inferredcites →https://doi.org/10.1109/jsac.2016.2577199openalex-snapshot
Joint Caching, Routing, and Channel Assignment for Collaborative Small-Cell Cellular Networks
inferredcites →https://doi.org/10.1109/jsac.2016.2577238openalex-snapshot
Proactive Content Caching for Mobile Video Utilizing Transportation Systems and Evaluation Through Field Experiments
inferredcites →https://doi.org/10.1109/jsac.2018.2844939openalex-snapshot
The Role of Caching in Future Communication Systems and Networks
inferredcites →https://doi.org/10.1109/jsac.2020.3000415openalex-snapshot
RL-Cache: Learning-Based Cache Admission for Content Delivery
inferredcites →https://doi.org/10.1109/lcomm.2015.2499193openalex-snapshot
A Resource Allocation Perspective on Caching to Achieve Low Latency
inferredcites →https://doi.org/10.1109/lcomm.2019.2924422openalex-snapshot
Multi-Objective Learning Approach to Proactive Caching in Wireless Networks
inferredcites →https://doi.org/10.1109/lwc.2019.2912365openalex-snapshot
Distributed Deep Learning at the Edge: A Novel Proactive and Cooperative Caching Framework for Mobile Edge Networks
inferredcites →https://doi.org/10.1109/mcom.2016.7537175openalex-snapshot
Game theoretic approaches for wireless proactive caching
inferredcites →https://doi.org/10.1109/mcom.2016.7565183openalex-snapshot
Caching at the wireless edge: design aspects, challenges, and future directions
inferredcites →https://doi.org/10.1109/mnet.2018.1800109openalex-snapshot
Deep Reinforcement Learning for Mobile Edge Caching: Review, New Features, and Open Issues
inferredcites →https://doi.org/10.1109/mnet.2019.1800058openalex-snapshot
DeepCachNet: A Proactive Caching Framework Based on Deep Learning in Cellular Networks
inferredcites →https://doi.org/10.1109/mwc.001.1900554openalex-snapshot
Rethinking the Gain of Multicasting and Proactive Caching for VoD Service
inferredcites →https://doi.org/10.1109/mwc.2018.1700317openalex-snapshot
Learn to Cache: Machine Learning for Network Edge Caching in the Big Data Era
inferredcites →https://doi.org/10.1109/pimrc.2019.8904364openalex-snapshot
A Mobility-aware Proactive Caching Strategy in Heterogeneous Ultra-Dense Networks
inferredcites →https://doi.org/10.1109/pimrc48278.2020.9217350openalex-snapshot
Content Request Prediction with Temporal Trend for Proactive Caching
inferredcites →https://doi.org/10.1109/soca.2018.00018openalex-snapshot
Proactive Content Caching Strategy with Router Reassignment in Content Centric Networks Based SDN
inferredcites →https://doi.org/10.1109/tccn.2020.3020887openalex-snapshot
Social-Aware Proactive Content Caching and Sharing in Multi-Access Edge Networks
inferredcites →https://doi.org/10.1109/tits.2020.2976572openalex-snapshot
Deep Learning Based Caching for Self-Driving Cars in Multi-Access Edge Computing
inferredcites →https://doi.org/10.1109/tits.2020.3017474openalex-snapshot
Mobility-Aware Proactive Edge Caching for Connected Vehicles Using Federated Learning
inferredcites →https://doi.org/10.1109/tmc.2019.2908403openalex-snapshot
Joint Communication, Computation, Caching, and Control in Big Data Multi-Access Edge Computing
inferredcites →https://doi.org/10.1109/tmc.2020.2967041openalex-snapshot
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
inferredcites →https://doi.org/10.1109/tmc.2020.3012509openalex-snapshot
Imitation Learning Enabled Task Scheduling for Online Vehicular Edge Computing
inferredcites →https://doi.org/10.1109/tnse.2020.2990963openalex-snapshot
PSAC: Proactive Sequence-Aware Content Caching via Deep Learning at the Network Edge
inferredcites →https://doi.org/10.1109/tsc.2020.3032724openalex-snapshot
Data Caching Optimization in the Edge Computing Environment
inferredcites →https://doi.org/10.1109/tvt.2019.2921615openalex-snapshot
Analysis and Optimization of Caching in Fog Radio Access Networks
inferredcites →https://doi.org/10.1109/twc.2016.2636139openalex-snapshot
Context-Aware Proactive Content Caching With Service Differentiation in Wireless Networks
inferredcites →https://doi.org/10.1109/twc.2018.2805893openalex-snapshot
Hybrid Content Caching in 5G Wireless Networks: Cloud Versus Edge Caching
inferredcites →https://doi.org/10.1109/twc.2018.2839111openalex-snapshot
A Stackelberg Game Approach to Proactive Caching in Large-Scale Mobile Edge Networks
inferredcites →https://doi.org/10.1109/twc.2019.2904261openalex-snapshot
Request Delay-Based Pricing for Proactive Caching: A Stackelberg Game Approach
inferredcites →https://doi.org/10.1109/twc.2019.2941201openalex-snapshot
Trace-Driven QoE-Aware Proactive Caching for Mobile Video Streaming in Metropolis
inferredcites →https://doi.org/10.1109/twc.2020.3022907openalex-snapshot
Deep Learning-Based Edge Caching in Fog Radio Access Networks
inferredcites →https://doi.org/10.1109/twc.2020.3027596openalex-snapshot
Content Caching Oriented Popularity Prediction: A Weighted Clustering Approach
inferredcites →https://doi.org/10.1109/twc.2020.3030973openalex-snapshot
Deep Learning for Wireless Coded Caching With Unknown and Time-Variant Content Popularity
inferredcites →https://doi.org/10.1109/vtcspring.2019.8746649openalex-snapshot
Machine Learning-Driven Optimal Proactive Edge Caching in Wireless Small Cell Networks
inferredcites →https://doi.org/10.1109/wcnc.2019.8885516openalex-snapshot
Deep Reinforcement Learning for Cooperative Edge Caching in Future Mobile Networks
inferredcites →https://doi.org/10.1109/wcnc45663.2020.9120478openalex-snapshot
Caching and Pricing based on Blockchain in a Cache-delivery Market
inferredcites →https://doi.org/10.1109/wcnc45663.2020.9120586openalex-snapshot
Popularity Prediction with Federated Learning for Proactive Caching at Wireless Edge
inferredcites →https://doi.org/10.1109/wcsp.2019.8928131openalex-snapshot
Proactive Caching in Auto Driving Scene via Deep Reinforcement Learning
inferredcites →https://doi.org/10.1109/wincom.2017.8238174openalex-snapshot
Caching, device-to-device and fog computing in 5thcellular networks generation : Survey
inferredcites →https://doi.org/10.1109/wiopt.2014.6850348openalex-snapshot
Many-to-many matching games for proactive social-caching in wireless small cell networks
inferredcites →https://doi.org/10.1145/3125719.3125728openalex-snapshot
Proactive caching with mobility prediction under uncertainty in information-centric networks
inferredcites →https://doi.org/10.1145/3397166.3409126openalex-snapshot
Predictive caching at the wireless edge using near-zero caches
inferredcites →https://doi.org/10.1186/s13638-018-1204-4openalex-snapshot
Energy-efficient proactive edge caching with sleep scheduling for green networks
inferredcites →https://doi.org/10.1186/s13638-018-1218-yopenalex-snapshot
Proactive edge computing in fog networks with latency and reliability guarantees
inferredcites →https://doi.org/10.12697/spe.2008.1.3.01openalex-snapshot
There Are Vague Objects (in Any Sense in which There Are Ordinary Objects)
inferredcites →https://doi.org/10.17559/tv-20190303092125openalex-snapshot
Cooperative Caching with Content Popularity Prediction for Mobile Edge Caching
inferredcites →https://doi.org/10.23919/eusipco.2018.8553086openalex-snapshot
Proactive Computation Caching Policies For 5G-and-Beyond Mobile Edge Cloud Networks
inferredcites →https://doi.org/10.23919/wiopt.2017.7959914openalex-snapshot
Improved policy representation and policy search for proactive content caching in wireless networks
inferredcites →https://doi.org/10.3390/app10186145openalex-snapshot
Cooperation Based Proactive Caching in Multi-Tier Cellular Networks
inferredcites →https://doi.org/10.3390/electronics8010050openalex-snapshot
Proactive Content Delivery with Service-Tier Awareness and User Demand Prediction
inferredcites →https://doi.org/10.3390/electronics8121430openalex-snapshot
Collaborative Computation Offloading and Resource Allocation in Cache-Aided Hierarchical Edge-Cloud Systems
inferredcites →https://doi.org/10.3390/s20061582openalex-snapshot
Optimal Design of Hierarchical Cloud-Fog&Edge Computing Networks with Caching

What points at this work

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

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Drift-plus-penalty guided graph reinforcement learning for stable content caching in fog-cloud continuum
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Deep Reinforcement Learning-based computation offloading and distributed edge service caching for Mobile Edge Computing
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110771openalex-snapshot
Two-timescale joint service caching and resource allocation for task offloading with edge–cloud cooperation
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.110791openalex-snapshot
Task offloading strategies for mobile edge computing: A survey
inferred← citeshttps://doi.org/10.1016/j.comnet.2024.111008openalex-snapshot
Minimizing active nodes in MEC environments: A distributed learning-driven framework for application placement
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111201openalex-snapshot
Sparse mobile crowd sensing in low-resource computing environments: An active spatio-temporal fracture approach
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111231openalex-snapshot
Delay-energy-aware joint multi-cell association, service caching, and task offloading in hybrid-task heterogeneous edge computing networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111384openalex-snapshot
Trajectory design of cellular-connected UAV patrol and mobile edge computing system: A deep reinforcement learning approach
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111400openalex-snapshot
Optimizing cost through UAV deployment and task assignment in hybrid UAV-assisted MEC systems
inferred← citeshttps://doi.org/10.1016/j.comnet.2025.111491openalex-snapshot
Joint resource allocation for high-mobility HCNs with D2D communications
inferred← citeshttps://doi.org/10.1016/j.cose.2024.104169openalex-snapshot
Advancing IoT security: A novel intrusion detection system for evolving threats in industry 4.0 using optimized convolutional sparse Ficks law graph point trans-Net
inferred← citeshttps://doi.org/10.1016/j.envsoft.2025.106679openalex-snapshot
Subsidence vulnerability assessment due to groundwater over-abstraction using AI-based multiple cluster analysis
inferred← citeshttps://doi.org/10.1016/j.future.2023.12.008openalex-snapshot
Labeled graph partitioning scheme for distributed edge caching
inferred← citeshttps://doi.org/10.1016/j.hcc.2025.100301openalex-snapshot
An improved secure designated server certificateless authenticated searchable encryption scheme for IIoT
inferred← citeshttps://doi.org/10.1016/j.iot.2024.101359openalex-snapshot
Video streaming on fog and edge computing layers: A systematic mapping study
inferred← citeshttps://doi.org/10.1016/j.iot.2025.101572openalex-snapshot
Attention-augmented multi-agent collaboration for Smart Industrial Internet of Things task offloading
inferred← citeshttps://doi.org/10.1016/j.jpdc.2025.105119openalex-snapshot
Privacy-enabled academic certificate authentication and deep learning-based student performance prediction system using hyperledger blockchain technology
inferred← citeshttps://doi.org/10.1016/j.simpat.2024.103025openalex-snapshot
Dual-timescale resource management for multi-type caching placement and multi-user computation offloading in Internet of Vehicle
inferred← citeshttps://doi.org/10.1016/j.suscom.2025.101097openalex-snapshot
LESP:A fault-aware internet of things service placement in fog computing
inferred← citeshttps://doi.org/10.1038/s41598-025-04774-yopenalex-snapshot
A secured remote patient monitoring framework for IoMT ecosystems
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/s41598-025-97494-2openalex-snapshot
Dynamic load balancing in cloud computing using predictive graph networks and adaptive neural scheduling
inferred← citeshttps://doi.org/10.1093/comnet/cnae045openalex-snapshot
Analysis and modeling of rumor spreading in social networks using status transmission mechanisms
inferred← citeshttps://doi.org/10.1109/access.2025.3563407openalex-snapshot
Comprehensive Review of Collaborative Data Caching in Edge Computing
inferred← citeshttps://doi.org/10.1109/access.2025.3566002openalex-snapshot
SPARCQ: Enhancing Scalability and Adaptability of Proactive Edge Caching Through Q-Learning
inferred← citeshttps://doi.org/10.1109/aece62803.2024.10911795openalex-snapshot
Unleashing the power of federated learning and reinforcement learning in the intelligent evolution of Web3.0
inferred← citeshttps://doi.org/10.1109/cbd65573.2024.00055openalex-snapshot
Deep Reinforcement Learning-Based Distributed Collaborative Service Caching in Edge Computing
inferred← citeshttps://doi.org/10.1109/comst.2024.3408090openalex-snapshot
Toward 6G Optical Fronthaul: A Survey on Enabling Technologies and Research Perspectives
inferred← citeshttps://doi.org/10.1109/icassp49660.2025.10890488openalex-snapshot
Device Selection for Resource-Efficient Edge Caching in a Federated Learning Framework
inferred← citeshttps://doi.org/10.1109/icde60146.2024.00126openalex-snapshot
Joint Mobile Edge Caching and Pricing: A Mean-Field Game Approach
inferred← citeshttps://doi.org/10.1109/icdsec67721.2025.11439515openalex-snapshot
FARMEDC: A Fairness-Aware Approach in Recommendation-Enabled Mobile Edge Data Caching
inferred← citeshttps://doi.org/10.1109/ichms59971.2024.10555670openalex-snapshot
FedStar Caching: Decision Center Assisted Federated Cooperative Edge Caching
inferred← citeshttps://doi.org/10.1109/icites62688.2024.10777462openalex-snapshot
Joint Optimization of Service Caching and Task Scheduling in Energy-Efficient Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/ict62760.2024.10606023openalex-snapshot
Enhancing Edge Caching Efficiency: Leveraging Social and Context-Aware Popularity Rank Prediction via Transfer Learning
inferred← citeshttps://doi.org/10.1109/icws67624.2025.00053openalex-snapshot
Dynamic Community Interest-Aware Caching in Vehicular Edge Computing: A Spatio-Temporal Topic Modeling and Potential Game-Based Approach
inferred← citeshttps://doi.org/10.1109/iscait64916.2025.11010603openalex-snapshot
Dynamic Edge Caching Strategy Integrating Deep Learning and Swarm Intelligence
inferred← citeshttps://doi.org/10.1109/jiot.2023.3239944openalex-snapshot
Edge Computing on IoT for Machine Signal Processing and Fault Diagnosis: A Review
inferred← citeshttps://doi.org/10.1109/jiot.2024.3382723openalex-snapshot
Cooperative Service Caching in Vehicular Edge Computing Networks Based on Transportation Correlation Analysis
inferred← citeshttps://doi.org/10.1109/jiot.2024.3506713openalex-snapshot
HRL-Based Proactive Caching Scheme for Vehicle–Edge–Cloud Collaborative System Applications
inferred← citeshttps://doi.org/10.1109/noms59830.2024.10575387openalex-snapshot
Latency-Aware Cache Mechanism for Resolver Service of Domain Name Systems
inferred← citeshttps://doi.org/10.1109/tits.2025.3558978openalex-snapshot
An Attribute-Based Pre-Authenticated Secure Communication Protocol Enabling Key Protection and Credential Online-Upgrading for 5G NR V2X
inferred← citeshttps://doi.org/10.1109/tits.2026.3660278openalex-snapshot
An Enhanced and Lightweight Anonymous Authentication Protocol Based on PUF for VANETs
inferred← citeshttps://doi.org/10.1109/ton.2025.3548904openalex-snapshot
Fast-Response Edge Caching Scheme for Graph Data
inferred← citeshttps://doi.org/10.1142/s0218126625504109openalex-snapshot
Multisource Data Fusion-Based Automatic Quality Evaluation Model for Cultivated Land in River Basins Under Agricultural IoT Networks
inferred← citeshttps://doi.org/10.1145/3607720.3607768openalex-snapshot
Blockchain-Based Distributed Caching with replication for Efficient Service Provision in Edge-cloud Environments
inferred← citeshttps://doi.org/10.1145/3724420openalex-snapshot
Empowering Edge Intelligence: A Comprehensive Survey on On-Device AI Models
inferred← citeshttps://doi.org/10.1145/3732782openalex-snapshot
Joint Optimization of Task Offloading Content Caching and Resource Allocation in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.1155/2022/7212984openalex-snapshot
Collaborative Caching in Edge Computing via Federated Learning and Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1186/s13677-024-00719-4openalex-snapshot
Optimization of datacenter selection through a genetic algorithm-driven service broker policy
inferred← citeshttps://doi.org/10.1186/s13677-025-00784-3openalex-snapshot
Adaptive edge-fog healthcare networks: a novel framework for emergency response management
inferred← citeshttps://doi.org/10.21203/rs.3.rs-4760477/v1openalex-snapshot
Federated Learning-based Content Caching Strategy for Edge Computing
inferred← citeshttps://doi.org/10.3389/frcmn.2024.1467812openalex-snapshot
Optimizing service caching in smart buildings: a dynamic approach for responsive IoT and edge computing integration in smart cities
inferred← citeshttps://doi.org/10.3390/electronics15102074openalex-snapshot
Resource-Aware Deep Reinforcement Learning for Joint Caching and Service Placement in Multi-Access Edge Computing
inferred← citeshttps://doi.org/10.3390/math13132198openalex-snapshot
Federated Learning-Driven IoT Request Scheduling for Fault Tolerance in Cloud Data Centers
inferred← citeshttps://doi.org/10.3390/s25041258openalex-snapshot
A Critical Analysis of Cooperative Caching in Ad Hoc Wireless Communication Technologies: Current Challenges and Future Directions
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