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Latency Reduction in Immersive Systems through Request Scheduling with Digital Twin Networks in Collaborative Edge Computing

https://doi.org/10.1145/3701562
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What this work says

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

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A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
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Joint Service Caching and Task Offloading for Mobile Edge Computing in Dense Networks
inferredcites →https://doi.org/10.1109/infocom42981.2021.9488779openalex-snapshot
Layer Aware Microservice Placement and Request Scheduling at the Edge
inferredcites →https://doi.org/10.1109/infocom48880.2022.9796718openalex-snapshot
Schedule or Wait: Age-Minimization for IoT Big Data Processing in MEC via Online Learning
inferredcites →https://doi.org/10.1109/jiot.2020.3026988openalex-snapshot
Distributed Query Processing in the Edge-Assisted IoT Data Monitoring System
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Cloud–Edge Collaborative Resource Allocation for Blockchain-Enabled Internet of Things: A Collective Reinforcement Learning Approach
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Distributed Swarm Learning for Edge Internet of Things
inferredcites →https://doi.org/10.1109/tbc.2023.3345656openalex-snapshot
Quality-of-Experience Evaluation for Digital Twins in 6G Network Environments
inferredcites →https://doi.org/10.1109/tc.2021.3077687openalex-snapshot
Secure Deep Learning in Defense in Deep-Learning-as-a-Service Computing Systems in Digital Twins
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MaskCrypt: Federated Learning With Selective Homomorphic Encryption
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Low-Latency Federated Learning and Blockchain for Edge Association in Digital Twin Empowered 6G Networks
inferredcites →https://doi.org/10.1109/tii.2021.3137349openalex-snapshot
Secure and Latency-Aware Digital Twin Assisted Resource Scheduling for 5G Edge Computing-Empowered Distribution Grids
inferredcites →https://doi.org/10.1109/tii.2022.3194840openalex-snapshot
Cloud-Edge-Device Collaborative Reliable and Communication-Efficient Digital Twin for Low-Carbon Electrical Equipment Management
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Energy-Efficient Resource Allocation in Multi-UAV-Assisted Two-Stage Edge Computing for Beyond 5G Networks
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inferredcites →https://doi.org/10.1109/tiv.2023.3237960openalex-snapshot
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inferredcites →https://doi.org/10.1109/tiv.2023.3264812openalex-snapshot
A New Era of Intelligent Vehicles and Intelligent Transportation Systems: Digital Twins and Parallel Intelligence
inferredcites →https://doi.org/10.1109/tmc.2021.3122013openalex-snapshot
Stochastic Digital-Twin Service Demand With Edge Response: An Incentive-Based Congestion Control Approach
inferredcites →https://doi.org/10.1109/tmc.2022.3219983openalex-snapshot
An Efficient Processing Scheme for Concurrent Applications in the IoT Edge
inferredcites →https://doi.org/10.1109/tmc.2023.3335221openalex-snapshot
EV-Tach: A Handheld Rotational Speed Estimation System With Event Camera
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/tnet.2022.3196267openalex-snapshot
Services Management and Distributed Multihop Requests Routing in Mobile Edge Networks
inferredcites →https://doi.org/10.1109/tnse.2023.3296511openalex-snapshot
Delay-Optimized Multi-User VR Streaming via End-Edge Collaborative Neural Frame Interpolation
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Swift-Eye: Towards Anti-blink Pupil Tracking for Precise and Robust High-Frequency Near-Eye Movement Analysis with Event Cameras
inferredcites →https://doi.org/10.1109/tvt.2022.3182647openalex-snapshot
Digital Twin Assisted Task Offloading for Aerial Edge Computing and Networks
inferredcites →https://doi.org/10.1109/tvt.2023.3253905openalex-snapshot
Intelligent Resource Allocation for Edge-Cloud Collaborative Networks: A Hybrid DDPG-D3QN Approach
inferredcites →https://doi.org/10.1109/tvt.2023.3259683openalex-snapshot
Grouping Reduces Energy Cost in Directionally Rechargeable Wireless Vehicular and Sensor Networks
inferredcites →https://doi.org/10.1145/3336121openalex-snapshot
Energy-efficient Static Task Scheduling on VFI-based NoC-HMPSoCs for Intelligent Edge Devices in Cyber-physical Systems
inferredcites →https://doi.org/10.1145/3447032openalex-snapshot
Edge Content Caching with Deep Spatiotemporal Residual Network for IoV in Smart City
inferredcites →https://doi.org/10.1145/3463530openalex-snapshot
ApproxNet: Content and Contention-Aware Video Object Classification System for Embedded Clients
inferredcites →https://doi.org/10.1145/3611659.3615708openalex-snapshot
UniteXR: Joint Exploration of a Real-World Museum and its Digital Twin
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What points at this work

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

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Efficient and Privacy-Preserving Verifiable Signcryption for Internet of Medical Things
inferred← citeshttps://doi.org/10.1109/cait68620.2025.11424731openalex-snapshot
Towards Enhanced QoS in MEC Network Slicing: A Hierarchical Closed-loop Approach to Efficient Resource Allocation
inferred← citeshttps://doi.org/10.1109/iwqos65803.2025.11143490openalex-snapshot
EdgeNet: A Distributed Network Architecture for Real-Time Person Re-Identification with Dynamic Load Balancing
inferred← citeshttps://doi.org/10.1109/scecs65243.2025.11065044openalex-snapshot
Dynamic Dependent Task Scheduling for Real-Time Multi-edge-node Collaboration Computing
inferred← citeshttps://doi.org/10.1109/scecs65243.2025.11065090openalex-snapshot
De-Skewing Point Clouds Based on Gaussian Process Regression in a Tightly Coupled LiDAR-IMU SLAM System
inferred← citeshttps://doi.org/10.1109/scecs65243.2025.11065846openalex-snapshot
A Dual Time-Scale Offloading Strategy for Vehicle Digital Twins via Cloud-Edge-End Collaboration
inferred← citeshttps://doi.org/10.1109/scecs69812.2026.11565937openalex-snapshot
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An Edge–Cloud Collaborative Framework for Latency Optimization in Prompt Injection Defense
inferred← citeshttps://doi.org/10.1109/secon68281.2026.11578991openalex-snapshot
Minimizing Sensor-Cloud Resource Makespan via Low-Coupling Request Scheduling for Embedded Edge Systems
inferred← citeshttps://doi.org/10.1109/tgcn.2025.3553863openalex-snapshot
Utility Driven Digital Twin Deployment for Energy-Efficient Industrial Edge Networks
inferred← citeshttps://doi.org/10.1109/tgcn.2026.3687635openalex-snapshot
Digital Twin-Driven Dual-Time-Scale Orchestration for Synergistic Computing Power and Electric Power Systems
inferred← citeshttps://doi.org/10.1109/tifs.2026.3676676openalex-snapshot
DECOR: Multi-Modal Decentralized Cluster-Based Energy Efficient Covert Routing in HetNets
inferred← citeshttps://doi.org/10.1109/tmc.2025.3587744openalex-snapshot
Enhancing QoE in Collaborative Edge Systems With Feedback Diffusion Generative Scheduling
inferred← citeshttps://doi.org/10.1109/tmc.2026.3669201openalex-snapshot
Edge-Assisted Real-Time Dynamic 3D Point Cloud Rendering for Multi-Party Mobile Virtual Reality
inferred← citeshttps://doi.org/10.1109/tmc.2026.3676410openalex-snapshot
GMDRA: Optimizing Edge-Cloud LLM Security and Efficiency via Game-Theoretic Detection Resource Allocation
inferred← citeshttps://doi.org/10.1109/tmc.2026.3710512openalex-snapshot
Cooperative Edge Caching for Profit Maximization Based on Multi-Agent Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.3390/fi17030118openalex-snapshot
Edge and Cloud Computing in Smart Cities
inferred← citeshttps://doi.org/10.3390/math13111779openalex-snapshot
When Mathematical Methods Meet Artificial Intelligence and Mobile Edge Computing
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