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Data Driven Service Orchestration for Vehicular Networks

https://doi.org/10.1109/tits.2020.3011264
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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/ett.3169openalex-snapshot
Providing ultra‐short latency to user‐centric 5G applications at the mobile network edge
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A system for destination and future route prediction based on trajectory mining
inferredcites →https://doi.org/10.1038/nature06958openalex-snapshot
Understanding individual human mobility patterns
inferredcites →https://doi.org/10.1109/access.2018.2888478openalex-snapshot
Pre-Migration of Vehicle to Network Services Based on Priority in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/access.2019.2929430openalex-snapshot
Exploring Trajectory Prediction Through Machine Learning Methods
inferredcites →https://doi.org/10.1109/bigcomp.2018.00021openalex-snapshot
T-CONV: A Convolutional Neural Network for Multi-scale Taxi Trajectory Prediction
inferredcites →https://doi.org/10.1109/bigdata.2016.7840811openalex-snapshot
Urban human mobility data mining: An overview
inferredcites →https://doi.org/10.1109/globalsip.2016.7905946openalex-snapshot
Achieving high throughput with predictive resource allocation
inferredcites →https://doi.org/10.1109/icc.2012.6364145openalex-snapshot
A Destination Prediction Model based on historical data, contextual knowledge and spatial conceptual maps
inferredcites →https://doi.org/10.1109/icc.2017.7997282openalex-snapshot
Optimizing service replication for mobile delay-sensitive applications in 5G edge network
inferredcites →https://doi.org/10.1109/icdm.2012.113openalex-snapshot
Mining User Mobility Features for Next Place Prediction in Location-Based Services
inferredcites →https://doi.org/10.1109/infocom.2018.8486021openalex-snapshot
Dynamic, Latency-Optimal vNF Placement at the Network Edge
inferredcites →https://doi.org/10.1109/jsac.2018.2869954openalex-snapshot
Follow Me at the Edge: Mobility-Aware Dynamic Service Placement for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/mcomstd.2018.1800013openalex-snapshot
Multi-Access Edge Computing: The Driver Behind the Wheel of 5G-Connected Cars
inferredcites →https://doi.org/10.1109/mwc.2016.1500131wcopenalex-snapshot
A Survey for Mobility Big Data Analytics for Geolocation Prediction
inferredcites →https://doi.org/10.1109/mwc.2017.1700011openalex-snapshot
Live Service Migration in Mobile Edge Clouds
inferredcites →https://doi.org/10.1109/tnsm.2016.2569020openalex-snapshot
Orchestrating Virtualized Network Functions
inferredcites →https://doi.org/10.1177/0361198118794735openalex-snapshot
Network-Wide Vehicle Trajectory Prediction in Urban Traffic Networks using Deep Learning
inferredcites →https://doi.org/10.13140/rg.2.2.19431.80802openalex-snapshot
Genetic Algorithm for the 0/1 Multidimensional Knapsack Problem
inferredcites →https://doi.org/10.15783/c7j010openalex-snapshot
CRAWDAD dataset epfl/mobility (v. 2009-02-24)
inferredcites →https://doi.org/10.3390/mca18030486openalex-snapshot
A Genetic Algorithm to Solve the Multidimensional Knapsack Problem
inferredcites →https://doi.org/10.48550/arxiv.1610.07009openalex-snapshot
DeepSpace: An Online Deep Learning Framework for Mobile Big Data to Understand Human Mobility Patterns
inferredcites →https://doi.org/10.48550/arxiv.2001.07077openalex-snapshot
Distributed Vehicular Computing at the Dawn of 5G: a Survey

What points at this work

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

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An Adaptive Ga-Based Slice Provisioning Method for Vertical Industries in 5g and Beyond Networks
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BASTION: Beyond automated service and security orchestration for next-generation networks
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Stochastic programming based multi-arm bandit offloading strategy for internet of things
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Cloud–edge microservices architecture and service orchestration: An integral solution for a real-world deployment experience
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Edge-aided searchable data sharing scheme for IoV in the 5G environment
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Dynamic collaborative optimization coverage algorithm of UAV based on trajectory prediction in Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/ccnc49033.2022.9700644openalex-snapshot
Migration-Aware Optimized Resource Allocation in B5G Edge Networks
inferred← citeshttps://doi.org/10.1109/comst.2023.3273121openalex-snapshot
Machine Learning for Service Migration: A Survey
inferred← citeshttps://doi.org/10.1109/cscn60443.2023.10453210openalex-snapshot
Service placement and migration algorithm utilizing precise positioning for connected and automated vehicles
inferred← citeshttps://doi.org/10.1109/isdfs60797.2024.10527280openalex-snapshot
A Robust Misbehavior Detection System for Cooperative Driving Network
inferred← citeshttps://doi.org/10.1109/itsc57777.2023.10422479openalex-snapshot
Likely, Light, and Accurate Context-Free Clusters-based Trajectory Prediction
inferred← citeshttps://doi.org/10.1109/jiot.2021.3085004openalex-snapshot
BTS: A Blockchain-Based Trust System to Deter Malicious Data Reporting in Intelligent Internet of Things
inferred← citeshttps://doi.org/10.1109/jiot.2024.3481232openalex-snapshot
Service Migration Optimization for System Overhead Minimization in VECNs via Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/jsen.2022.3152808openalex-snapshot
Towards Resilient and Secure Cooperative Behavior of Intelligent Transportation System Using Sensor Technologies
inferred← citeshttps://doi.org/10.1109/lnet.2022.3190244openalex-snapshot
Emergency Braking With ACC: How Much Does V2V Communication Help?
inferred← citeshttps://doi.org/10.1109/mcomstd.0001.2100060openalex-snapshot
Post-Quantum Era in V2X Security: Convergence of Orchestration and Parallel Computation
inferred← citeshttps://doi.org/10.1109/meditcom49071.2021.9647459openalex-snapshot
Multi-Domain Architecture for CAM Service Delivery Across Borders
inferred← citeshttps://doi.org/10.1109/mnet.011.2000558openalex-snapshot
Federated-Learning-Empowered Collaborative Data Sharing for Vehicular Edge Networks
inferred← citeshttps://doi.org/10.1109/mnet.101.2100214openalex-snapshot
Intelligent Service Orchestration in Edge Cloud Networks
inferred← citeshttps://doi.org/10.1109/mwc.001.2000428openalex-snapshot
Artificial Intelligence (AI)-Empowered Intrusion Detection Architecture for the Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/ojvt.2020.3044569openalex-snapshot
6G Massive Radio Access Networks: Key Applications, Requirements and Challenges
inferred← citeshttps://doi.org/10.1109/ojvt.2024.3375448openalex-snapshot
ZSM-Based E2E Security Slice Management for DDoS Attack Protection in MEC-Enabled V2X Environments
inferred← citeshttps://doi.org/10.1109/ojvt.2024.3496583openalex-snapshot
Towards Optimal Placement and Runtime Migration of Time-Sensitive Services of Connected and Automated Vehicles
inferred← citeshttps://doi.org/10.1109/sibf68061.2025.11455275openalex-snapshot
Driving Economic Growth Through AI-Powered Smart Transportation Systems
inferred← citeshttps://doi.org/10.1109/tcomm.2020.3042271openalex-snapshot
DART: Data Plane Load Reduction for Traffic Flow Migration in SDN
inferred← citeshttps://doi.org/10.1109/tgcn.2022.3199171openalex-snapshot
EASE: Energy-Aware Job Scheduling for Vehicular Edge Networks With Renewable Energy Resources
inferred← citeshttps://doi.org/10.1109/tnsm.2021.3099472openalex-snapshot
Anticipatory Allocation of Communication and Computational Resources at the Edge Using Spatio-Temporal Dynamics of Mobile Users
inferred← citeshttps://doi.org/10.1109/tnsm.2022.3151626openalex-snapshot
Deep Q-Network-Based Cloud-Native Network Function Placement in Edge Cloud-Enabled Non-Public Networks
inferred← citeshttps://doi.org/10.1109/tvt.2021.3049678openalex-snapshot
MobiPlace: Mobility-Aware Controller Placement in Software-Defined Vehicular Networks
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Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Networks
inferred← citeshttps://doi.org/10.1109/tvt.2022.3230923openalex-snapshot
GeoSS: Geographic Segmentation Security Barriers for Virtual Emotion Detection With Discriminative Priorities in Intelligent Cooperative Vehicular System
inferred← citeshttps://doi.org/10.23919/cnsm55787.2022.9964722openalex-snapshot
AI-Based mechanism for the Predictive Resource Allocation of V2X related Network Services
inferred← citeshttps://doi.org/10.23919/ifipnetworking70592.2026.11579216openalex-snapshot
LSTM-based Mobility Prediction for Proactive Service Migration in Vehicular Edge Computing
inferred← citeshttps://doi.org/10.3390/s25226914openalex-snapshot
Task Offloading and Resource Allocation for ICVs in Vehicular Edge Computing Networks Based on Hybrid Hierarchical Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.48550/arxiv.2102.08624openalex-snapshot
Client-Based Intelligence for Resource Efficient Vehicular Big Data Transfer in Future 6G Network
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An edge abstraction layer enabling federated and hierarchical orchestration of CCAM services in 5G and beyond networks
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Service Provisioning in Edge-Cloud Continuum: Emerging Applications for Mobile Devices
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Zero-touch service orchestration in 5G and beyond mobile networks
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