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PDMA: Probabilistic service migration approach for delay‐aware and mobility‐aware mobile edge computing

https://doi.org/10.1002/spe.3014
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What this work says

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

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Optimal online deterministic algorithms and adaptive heuristics for energy and performance efficient dynamic consolidation of virtual machines in Cloud data centers
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iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
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User allocation‐aware edge cloud placement in mobile edge computing
inferredcites →https://doi.org/10.1002/spe.2766openalex-snapshot
How to place your apps in the fog: State of the art and open challenges
inferredcites →https://doi.org/10.1002/spe.2888openalex-snapshot
Joint computation offloading and resource provisioning for e dge‐cloud computing environment: A machine learning‐based approach
inferredcites →https://doi.org/10.1016/j.future.2018.07.032openalex-snapshot
DMPO: Dynamic mobility-aware partial offloading in mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2019.01.059openalex-snapshot
Task migration for mobile edge computing using deep reinforcement learning
inferredcites →https://doi.org/10.1016/j.jpdc.2018.06.008openalex-snapshot
Edge server placement in mobile edge computing
inferredcites →https://doi.org/10.1016/j.jss.2019.05.031openalex-snapshot
BrownoutCon: A software system based on brownout and containers for energy-efficient cloud computing
inferredcites →https://doi.org/10.1109/glocom.2018.8647338openalex-snapshot
Collaborative Service Placement for Mobile Edge Computing Applications
inferredcites →https://doi.org/10.1109/icws.2019.00042openalex-snapshot
Mobility-Aware Service Selection in Mobile Edge Computing Systems
inferredcites →https://doi.org/10.1109/ifipnetworking.2015.7145316openalex-snapshot
Dynamic service migration in mobile edge-clouds
inferredcites →https://doi.org/10.1109/infocom.2019.8737385openalex-snapshot
Joint Service Placement and Request Routing in Multi-cell Mobile Edge Computing Networks
inferredcites →https://doi.org/10.1109/infocom.2019.8737449openalex-snapshot
Service Placement with Provable Guarantees in Heterogeneous Edge Computing Systems
inferredcites →https://doi.org/10.1109/infocom.2019.8737543openalex-snapshot
Winning at the Starting Line: Joint Network Selection and Service Placement for Mobile Edge Computing
inferredcites →https://doi.org/10.1109/infocom.2019.8737560openalex-snapshot
Adaptive User-managed Service Placement for Mobile Edge Computing: An Online Learning Approach
inferredcites →https://doi.org/10.1109/jiot.2017.2776252openalex-snapshot
MAGA: A Mobility-Aware Computation Offloading Decision for Distributed Mobile Cloud Computing
inferredcites →https://doi.org/10.1109/jiot.2020.2981958openalex-snapshot
Dyme: Dynamic Microservice Scheduling in Edge Computing Enabled IoT
inferredcites →https://doi.org/10.1109/jiot.2020.2996784openalex-snapshot
Collaborate Edge and Cloud Computing With Distributed Deep Learning for Smart City Internet of Things
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/mnet.2019.1800221openalex-snapshot
Optimal Edge Resource Allocation in IoT-Based Smart Cities
inferredcites →https://doi.org/10.1109/mwc.001.1800582openalex-snapshot
Task-Driven Resource Assignment in Mobile Edge Computing Exploiting Evolutionary Computation
inferredcites →https://doi.org/10.1109/netsoft.2019.8806674openalex-snapshot
Battle of Microservices: Towards Latency-Optimal Heuristic Scheduling for Edge Computing
inferredcites →https://doi.org/10.1109/tit.1974.1055171openalex-snapshot
Recent results in the Shannon theory
inferredcites →https://doi.org/10.1109/tmc.2019.2957804openalex-snapshot
Delay-Aware Microservice Coordination in Mobile Edge Computing: A Reinforcement Learning Approach
inferredcites →https://doi.org/10.1109/tnet.2019.2916577openalex-snapshot
Dynamic Service Migration in Mobile Edge Computing Based on Markov Decision Process
inferredcites →https://doi.org/10.1109/tnse.2019.2941754openalex-snapshot
Mobi-IoST: Mobility-Aware Cloud-Fog-Edge-IoT Collaborative Framework for Time-Critical Applications
inferredcites →https://doi.org/10.1109/tpds.2019.2950937openalex-snapshot
Energy-Aware Application Placement in Mobile Edge Computing: A Stochastic Optimization Approach
inferredcites →https://doi.org/10.1109/tvt.2019.2907253openalex-snapshot
Joint Power and Time Allocation for NOMA–MEC Offloading
inferredcites →https://doi.org/10.1145/1113361.1113374openalex-snapshot
CoMon
inferredcites →https://doi.org/10.1145/3234151openalex-snapshot
Brownout Approach for Adaptive Management of Resources and Applications in Cloud Computing Systems
inferredcites →https://doi.org/10.1145/3342101openalex-snapshot
Computational Mining of Social Media to Curb Terrorism

What points at this work

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

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Confidential Computing Across Edge‐To‐Cloud for Machine Learning: A Survey Study
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Multi-access Edge Computing Smart Relocation Approach from an NFV Perspective
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A New Computing Offload Algorithm for Maximizing User Revenue Under Cloud Edge Architecture
inferred← citeshttps://doi.org/10.1007/s11227-023-05323-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11277-024-10883-0openalex-snapshot
ECQ: An Energy-Efficient, Cost-Effective and Qos-Aware Method for Dynamic Service Migration in Mobile Edge Computing Systems
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Urban digital twins for sustainable smart cities: A systematic literature review of UAV-assisted MEC, federated intelligence, and semantic communications
inferred← citeshttps://doi.org/10.1016/j.future.2023.10.004openalex-snapshot
MCOTM: Mobility-aware computation offloading and task migration for edge computing in industrial IoT
inferred← citeshttps://doi.org/10.1016/j.iot.2022.100514openalex-snapshot
AI for next generation computing: Emerging trends and future directions
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Privacy protection of communication networks using fully homomorphic encryption based on network slicing and attributes
inferred← citeshttps://doi.org/10.1049/cmu2.12705openalex-snapshot
Monte Carlo‐based service migration under multiple constraints in mobile edge computing
inferred← citeshttps://doi.org/10.1080/1206212x.2022.2117763openalex-snapshot
PROMO: PROactive MObility-support model for task scheduling in fog computing
inferred← citeshttps://doi.org/10.1108/ijpcc-09-2022-0327openalex-snapshot
Performance analysis of edge, fog and cloud computing paradigms for real-time video quality assessment and phishing detection
inferred← citeshttps://doi.org/10.1109/access.2022.3176106openalex-snapshot
A Survey of State-of-the-art on Edge Computing: Theoretical Models, Technologies, Directions, and Development Paths
inferred← citeshttps://doi.org/10.1109/icws62655.2024.10878506openalex-snapshot
Collaborative Resource Management and Workloads Scheduling in Cloud-Assisted Mobile Edge Computing across Timescales
inferred← citeshttps://doi.org/10.1109/jiot.2023.3278884openalex-snapshot
A Performance and Reliability-Guaranteed Predictive Approach to Service Migration Path Selection in Mobile Computing
inferred← citeshttps://doi.org/10.1109/jiot.2023.3281609openalex-snapshot
Location Privacy-Aware Offloading for MEC-Enabled IoT: Optimality and Heuristics
inferred← citeshttps://doi.org/10.1109/jiot.2023.3293164openalex-snapshot
Energy-Efficient Resource Allocation for Heterogeneous Edge–Cloud Computing
inferred← citeshttps://doi.org/10.1109/jiot.2023.3315339openalex-snapshot
Energy-Aware and Trust-Collaboration Cross-Domain Resource Allocation Algorithm for Edge-Cloud Workflows
inferred← citeshttps://doi.org/10.1109/pimrc59610.2024.10817262openalex-snapshot
Enhancing Pre-Copy Strategy for Efficient Containerized Stateful Service Migration in MEC
inferred← citeshttps://doi.org/10.1109/tgcn.2021.3111731openalex-snapshot
EosDNN: An Efficient Offloading Scheme for DNN Inference Acceleration in Local-Edge-Cloud Collaborative Environments
inferred← citeshttps://doi.org/10.1109/tpds.2025.3626424openalex-snapshot
TraDE: Network and Traffic-Aware Adaptive Scheduling for Microservices Under Dynamics
inferred← citeshttps://doi.org/10.1109/tsc.2025.3576644openalex-snapshot
Joint Task Offloading and Migration Optimization in UAV-Enabled Dynamic MEC Networks
inferred← citeshttps://doi.org/10.1109/tsc.2025.3602905openalex-snapshot
A Game-Theoretic Approach for Microservice Request Dispatching in Mobile Edge Computing Systems
inferred← citeshttps://doi.org/10.1155/2023/2753085openalex-snapshot
A Network Fault Prediction-Based Service Migration Approach for Unstable Mobile Edge Environment
inferred← citeshttps://doi.org/10.21203/rs.3.rs-1863431/v1openalex-snapshot
Dynamic Computation Offloading with Deep Reinforcement Learning in Edge Networks
inferred← citeshttps://doi.org/10.23919/cje.2022.00.128openalex-snapshot
Service Migration Algorithm Based on Markov Decision Process with Multiple Service Types and Multiple System Factors
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/app13032010openalex-snapshot
Dynamic Computation Offloading with Deep Reinforcement Learning in Edge Network
inferred← citeshttps://doi.org/10.3390/jsan14040079openalex-snapshot
Real-Time Service Migration in Edge Networks: A Survey
inferred← citeshttps://doi.org/10.3390/s23042215openalex-snapshot
Cloud-Native Workload Orchestration at the Edge: A Deployment Review and Future Directions
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