On the public citation graph

Service migration in mobile edge computing: A deep reinforcement learning approach

0 signed · 68 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.
Claim with ORCID
Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/spe.2758openalex-snapshot
BCEdge: Blockchain‐based resource management in D2D‐assisted mobile edge computing
inferredcites →https://doi.org/10.1002/wcm.1203openalex-snapshot
A survey of mobile cloud computing: architecture, applications, and approaches
inferredcites →https://doi.org/10.1007/bf00992698openalex-snapshot
Q-learning
inferredcites →https://doi.org/10.1007/s00521-019-04693-wopenalex-snapshot
LMM: latency-aware micro-service mashup in mobile edge computing environment
inferredcites →https://doi.org/10.1016/j.comnet.2020.107144openalex-snapshot
A worker-selection incentive mechanism for optimizing platform-centric mobile crowdsourcing systems
inferredcites →https://doi.org/10.1016/j.jpdc.2017.09.014openalex-snapshot
QoS prediction for service recommendations in mobile edge computing
inferredcites →https://doi.org/10.1016/j.jpdc.2018.06.008openalex-snapshot
Edge server placement in mobile edge computing
inferredcites →https://doi.org/10.1023/a:1013689704352openalex-snapshot
Finite-time Analysis of the Multiarmed Bandit Problem
inferredcites →https://doi.org/10.1023/a:1022676722315openalex-snapshot
Technical Note: Q-Learning
inferredcites →https://doi.org/10.1109/37.126844openalex-snapshot
Reinforcement learning is direct adaptive optimal control
inferredcites →https://doi.org/10.1109/access.2018.2828102openalex-snapshot
A Survey on Service Migration in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/icc.2014.6883509openalex-snapshot
A Markov Decision Process-based service migration procedure for follow me cloud
inferredcites →https://doi.org/10.1109/icct.2017.8359782openalex-snapshot
A service migration strategy based on multiple attribute decision in mobile edge computing
inferredcites →https://doi.org/10.1109/infcomw.2011.5928842openalex-snapshot
A DHT and MDP-based mobility management scheme for large-scale mobile internet
inferredcites →https://doi.org/10.1109/infocom.2016.7524384openalex-snapshot
Dynamic virtual machine management via approximate Markov decision process
inferredcites →https://doi.org/10.1109/iwqos.2017.7969161openalex-snapshot
Reinforcement learning-based adaptive resource management of differentiated services in geo-distributed data centers
inferredcites →https://doi.org/10.1109/jiot.2017.2743116openalex-snapshot
Interference Cooperation via Distributed Game in 5G Networks
inferredcites →https://doi.org/10.1109/jsac.2017.2760160openalex-snapshot
EMM: Energy-Aware Mobility Management for Mobile Edge Computing in Ultra Dense Networks
inferredcites →https://doi.org/10.1109/jsac.2018.2815360openalex-snapshot
Task Offloading for Mobile Edge Computing in Software Defined Ultra-Dense Network
inferredcites →https://doi.org/10.1109/mcom.2012.6295709openalex-snapshot
Dynamic resource management using virtual machine migrations
inferredcites →https://doi.org/10.1109/mnet.001.1900326openalex-snapshot
Creating Efficient Blockchains for the Internet of Things by Coordinated Satellite-Terrestrial Networks
inferredcites →https://doi.org/10.1109/mwc.2017.1700011openalex-snapshot
Live Service Migration in Mobile Edge Clouds
inferredcites →https://doi.org/10.1109/nas.2017.8026876openalex-snapshot
Service Migrations in the Cloud for Mobile Accesses: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tii.2019.2946791openalex-snapshot
An Industrial Network Intrusion Detection Algorithm Based on Multifeature Data Clustering Optimization Model
inferredcites →https://doi.org/10.1109/tsc.2018.2827070openalex-snapshot
Migration Modeling and Learning Algorithms for Containers in Fog Computing
inferredcites →https://doi.org/10.1109/tsc.2019.2919823openalex-snapshot
Delta Debugging Microservice Systems with Parallel Optimization
inferredcites →https://doi.org/10.1109/tsc.2019.2962128openalex-snapshot
Towards Service Composition Aware Virtual Machine Migration Approach in the Cloud
inferredcites →https://doi.org/10.1109/tst.2016.7787008openalex-snapshot
Virtual machine-based task scheduling algorithm in a cloud computing environment
inferredcites →https://doi.org/10.1109/twc.2015.2512274openalex-snapshot
Coping With Emerging Mobile Social Media Applications Through Dynamic Service Function Chaining
inferredcites →https://doi.org/10.1145/3132211.3134458openalex-snapshot
An empirical study of latency in an emerging class of edge computing applications for wearable cognitive assistance
inferredcites →https://doi.org/10.1609/aaai.v30i1.10295openalex-snapshot
Deep Reinforcement Learning with Double Q-Learning
inferredcites →https://doi.org/10.1609/aaai.v32i1.11796openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.23919/inm.2017.7987308openalex-snapshot
Reinforcement learning based dynamic resource migration for virtual networks
inferredcites →https://doi.org/10.48550/arxiv.1006.0308openalex-snapshot
Energy-Efficient Management of Data Center Resources for Cloud Computing: A Vision, Architectural Elements, and Open Challenges
inferredcites →https://doi.org/10.48550/arxiv.1511.05952openalex-snapshot
Prioritized Experience Replay
inferredcites →https://doi.org/10.48550/arxiv.1710.02298openalex-snapshot
Rainbow: Combining Improvements in Deep Reinforcement Learning
inferredcites →https://doi.org/10.5120/4875-7305openalex-snapshot
A Survey on Techniques of Secure Live Migration of Virtual Machine
inferredcites →https://doi.org/10.5555/1251203.1251223openalex-snapshot
Live migration of virtual machines

What points at this work

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

inferred← citeshttps://doi.org/10.1002/dac.5373openalex-snapshot
5G, IoT, and edge computing convergence—Systems, services, and security
inferred← citeshttps://doi.org/10.1007/978-3-032-24807-7_10openalex-snapshot
Comparative Exploration of Multi-objective Optimization Approaches for Task Offloading in Healthcare IoT–Fog Networks
inferred← citeshttps://doi.org/10.1007/s00521-025-11166-wopenalex-snapshot
A chaotic-based artificial rabbit optimization and dandelion optimizer for QoS-aware web service composition in mobile edge computing
inferred← citeshttps://doi.org/10.1007/s11280-022-01011-8openalex-snapshot
Task offloading for vehicular edge computing with edge-cloud cooperation
inferred← citeshttps://doi.org/10.1007/s11761-024-00405-yopenalex-snapshot
Dynamic service prioritization with predicted intervals for QoS-sensitive service migrations in MEC
inferred← citeshttps://doi.org/10.1007/s11761-026-00489-8openalex-snapshot
Double auction based task migration for load balancing among multiple edge servers
inferred← citeshttps://doi.org/10.1016/j.future.2024.107612openalex-snapshot
Service migration with edge collaboration: Multi-agent deep reinforcement learning approach combined with user preference adaptation
inferred← citeshttps://doi.org/10.1016/j.future.2025.108167openalex-snapshot
Dynamic workload balancing in decentralized edge systems: A marginal cost approach
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.08.008openalex-snapshot
Towards cost-effective service migration in mobile edge: A Q-learning approach
inferred← citeshttps://doi.org/10.1016/j.rineng.2024.102601openalex-snapshot
An overview of mobility awareness with mobile edge computing over 6G network: Challenges and future research directions
inferred← citeshttps://doi.org/10.1049/cmu2.12455openalex-snapshot
Moving direction‐based adaptive task migration in MEC
inferred← citeshttps://doi.org/10.1109/comst.2023.3273121openalex-snapshot
Machine Learning for Service Migration: A Survey
inferred← citeshttps://doi.org/10.1109/comst.2023.3330953openalex-snapshot
To Migrate or Not to Migrate: An Analysis of Operator Migration in Distributed Stream Processing
inferred← citeshttps://doi.org/10.1109/icws55610.2022.00023openalex-snapshot
Low Latency Deployment of Service-based Data-intensive Applications in Cloud-Edge Environment
inferred← citeshttps://doi.org/10.1109/icws62655.2024.00097openalex-snapshot
A Hybrid Method to Interest-informed and Mobility-aware Mobile Service Migration in Edge Computing
inferred← citeshttps://doi.org/10.1109/ietacs68750.2025.11385685openalex-snapshot
HT-DDO: Hyperparameter-Tuned Deep Q-Network for Efficient Edge Resource Allocation in IoT
inferred← citeshttps://doi.org/10.1109/tcc.2024.3357061openalex-snapshot
Fault Tolerance Oriented SFC Optimization in SDN/NFV-Enabled Cloud Environment Based on Deep Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/tccn.2024.3502493openalex-snapshot
Intelligent Resource Adaptation for Diversified Service Requirements in Industrial IoT
inferred← citeshttps://doi.org/10.1109/tmc.2024.3367459openalex-snapshot
Latency-Constrained Multi-User Efficient Task Scheduling in Large-Scale Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/tnsm.2023.3274581openalex-snapshot
An Inference Mechanism for Proactive Service Migration at the Edge
inferred← citeshttps://doi.org/10.1109/tsc.2025.3586092openalex-snapshot
Joint Data Placement and Service Deployment in Distributed Cloud-Edge Environment
inferred← citeshttps://doi.org/10.1109/tvt.2021.3134715openalex-snapshot
Traffic Routing-Based Computation Offloading in Cybertwin-Driven Internet of Vehicles for V2X Applications
inferred← citeshttps://doi.org/10.1142/s012915642540333xopenalex-snapshot
Personalized Learning Resource Recommendation Text Emotion Recognition Method Based on Deep Transfer Learning
inferred← citeshttps://doi.org/10.1186/s13677-023-00524-5openalex-snapshot
An edge server deployment method based on optimal benefit and genetic algorithm
inferred← citeshttps://doi.org/10.3390/a17080370openalex-snapshot
Joint Optimization of Service Migration and Resource Allocation in Mobile Edge–Cloud Computing
inferred← citeshttps://doi.org/10.3390/electronics13091666openalex-snapshot
Optimizing Network Service Continuity with Quality-Driven Resource Migration
inferred← citeshttps://doi.org/10.3390/fi13100260openalex-snapshot
A Dynamic Service Reconfiguration Method for Satellite–Terrestrial Integrated Networks
inferred← citeshttps://doi.org/10.3390/fi18050258openalex-snapshot
Adaptive Service Migration in Hybrid MEC–Cloud Environments: A Queueing-Theoretic Framework for Split-User Offloading
inferred← citeshttps://doi.org/10.36227/techrxiv.22698229openalex-snapshot
Inferring the Migration of Services in Pervasive Edge Applications
inferred← citeshttps://doi.org/10.36227/techrxiv.22698229.v1openalex-snapshot
Inferring the Migration of Services in Pervasive Edge Applications
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.