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Cost‐optimized Internet of Things application deployment in edge computing environment

https://doi.org/10.1002/dac.5618
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What this work says

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

inferredcites →https://doi.org/10.1007/s10586-021-03376-3openalex-snapshot
Joint wireless power transfer and task offloading in mobile edge computing: a survey
inferredcites →https://doi.org/10.1007/s10586-021-03518-7openalex-snapshot
LiMPO: lightweight mobility prediction and offloading framework using machine learning for mobile edge computing
inferredcites →https://doi.org/10.1007/s10586-022-03661-9openalex-snapshot
Deep reinforcement learning-based microservice selection in mobile edge computing
inferredcites →https://doi.org/10.1007/s10586-022-03765-2openalex-snapshot
Container-based task scheduling in cloud-edge collaborative environment using priority-aware greedy strategy
inferredcites →https://doi.org/10.1007/s11280-022-01017-2openalex-snapshot
Joint optimization of delay and cost for microservice composition in mobile edge computing
inferredcites →https://doi.org/10.1007/s12083-021-01266-4openalex-snapshot
EICache: A learning-based intelligent caching strategy in mobile edge computing
inferredcites →https://doi.org/10.1016/j.future.2015.01.006openalex-snapshot
Power-efficient assignment of virtual machines to physical machines
inferredcites →https://doi.org/10.1016/j.jnca.2015.03.001openalex-snapshot
Seamless application execution in mobile cloud computing: Motivation, taxonomy, and open challenges
inferredcites →https://doi.org/10.1016/j.jpdc.2018.06.008openalex-snapshot
Edge server placement in mobile edge computing
inferredcites →https://doi.org/10.1108/ijwis-02-2022-0039openalex-snapshot
Cost research of Internet of Things service architecture for random mobile users based on edge computing
inferredcites →https://doi.org/10.1109/ccgrid54584.2022.00102openalex-snapshot
Network-Aware Container Placement in Cloud-Edge Kubernetes Clusters
inferredcites →https://doi.org/10.1109/glocomw.2015.7414158openalex-snapshot
Data-Center Architecture Impacts on Virtualized Network Functions Service Chain Embedding with High Availability Requirements
inferredcites →https://doi.org/10.1109/infcom.2011.5935254openalex-snapshot
Consolidating virtual machines with dynamic bandwidth demand in data centers
inferredcites →https://doi.org/10.1109/jiot.2019.2942719openalex-snapshot
Interaction of Edge-Cloud Computing Based on SDN and NFV for Next Generation IoT
inferredcites →https://doi.org/10.1109/jiot.2020.3014970openalex-snapshot
IoT Microservice Deployment in Edge-Cloud Hybrid Environment Using Reinforcement Learning
inferredcites →https://doi.org/10.1109/jiot.2021.3082898openalex-snapshot
Profit-Aware Edge Server Placement
inferredcites →https://doi.org/10.1109/jsac.2020.3020645openalex-snapshot
Mobile Edge Computing Enabled 5G Health Monitoring for Internet of Medical Things: A Decentralized Game Theoretic Approach
inferredcites →https://doi.org/10.1109/kst.2017.7886112openalex-snapshot
Improvement of container scheduling for Docker using Ant Colony Optimization
inferredcites →https://doi.org/10.1109/lcomm.2016.2644658openalex-snapshot
Application Oriented Dynamic Resource Allocation for Data Centers Using Docker Containers
inferredcites →https://doi.org/10.1109/mcom.2018.1701233openalex-snapshot
Orchestration of Microservices for IoT Using Docker and Edge Computing
inferredcites →https://doi.org/10.1109/mic.2019.2918079openalex-snapshot
A Disaggregated Cloud Architecture for Edge Computing
inferredcites →https://doi.org/10.1109/noms.2010.5488431openalex-snapshot
Redundant virtual machine placement for fault-tolerant consolidated server clusters
inferredcites →https://doi.org/10.1109/noms47738.2020.9110376openalex-snapshot
Towards delay-aware container-based Service Function Chaining in Fog Computing
inferredcites →https://doi.org/10.1109/sec.2018.00048openalex-snapshot
Extend Cloud to Edge with KubeEdge
inferredcites →https://doi.org/10.1109/syseng.2017.8088294openalex-snapshot
Docker container-based big data processing system in multiple clouds for everyone
inferredcites →https://doi.org/10.1109/tifs.2017.2708693openalex-snapshot
A Collaborative DDoS Defence Framework Using Network Function Virtualization
inferredcites →https://doi.org/10.1109/tits.2020.2970276openalex-snapshot
Joint Computing and Caching in 5G-Envisioned Internet of Vehicles: A Deep Reinforcement Learning-Based Traffic Control System
inferredcites →https://doi.org/10.1109/tits.2020.2997832openalex-snapshot
Intelligent Edge Computing in Internet of Vehicles: A Joint Computation Offloading and Caching Solution
inferredcites →https://doi.org/10.1109/tits.2022.3169421openalex-snapshot
PPO2: Location Privacy-Oriented Task Offloading to Edge Computing Using Reinforcement Learning for Intelligent Autonomous Transport Systems
inferredcites →https://doi.org/10.1109/tnse.2022.3163144openalex-snapshot
TSMAE: A Novel Anomaly Detection Approach for Internet of Things Time Series Data Using Memory-Augmented Autoencoder
inferredcites →https://doi.org/10.1109/tnsm.2017.2723090openalex-snapshot
A Reliability-Aware Network Service Chain Provisioning With Delay Guarantees in NFV-Enabled Enterprise Datacenter Networks
inferredcites →https://doi.org/10.1109/tnsm.2020.3001359openalex-snapshot
E2E QoS Guarantee for the Tactile Internet via Joint NFV and Radio Resource Allocation
inferredcites →https://doi.org/10.1109/tnsm.2022.3232503openalex-snapshot
Cost-Aware Deployment of Microservices for IoT Applications in Mobile Edge Computing Environment
inferredcites →https://doi.org/10.1109/tpds.2020.2981306openalex-snapshot
Location-Aware and Budget-Constrained Service Deployment for Composite Applications in Multi-Cloud Environment
inferredcites →https://doi.org/10.1109/tsc.2010.42openalex-snapshot
Energy-Aware Autonomic Resource Allocation in Multitier Virtualized Environments
inferredcites →https://doi.org/10.1145/3378447openalex-snapshot
A Cost-Efficient Container Orchestration Strategy in Kubernetes-Based Cloud Computing Infrastructures with Heterogeneous Resources
inferredcites →https://doi.org/10.1145/3380955openalex-snapshot
Cloud-based Enabling Mechanisms for Container Deployment and Migration at the Network Edge
inferredcites →https://doi.org/10.1162/evco.1993.1.1.25openalex-snapshot
Predictive Models for the Breeder Genetic Algorithm I. Continuous Parameter Optimization
inferredcites →https://doi.org/10.3390/app13020780openalex-snapshot
Cooperative Content Caching Framework Using Cuckoo Search Optimization in Vehicular Edge Networks

What points at this work

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

inferred← citeshttps://doi.org/10.1002/cpe.70154openalex-snapshot
Energy‐Latency Tradeoffs for Service Placement Based on Reinforcement Learning in Edge Computing
inferred← citeshttps://doi.org/10.1007/s11227-025-07993-2openalex-snapshot
An improved transfer learning for surface defect detection in edge-cloud continuum environments
inferred← citeshttps://doi.org/10.1007/s11227-026-08522-5openalex-snapshot
Resource-constrained energy-latency-aware adaptive model partition approach for edge intelligence
inferred← citeshttps://doi.org/10.1016/j.array.2025.100547openalex-snapshot
From challenges to metrics: An LLM-driven DevOps recommendation system grounded in evidence-based mappings
inferred← citeshttps://doi.org/10.1016/j.jnca.2025.104335openalex-snapshot
Lightweight verifiable privacy preserving federated learning
inferred← citeshttps://doi.org/10.1109/jiot.2025.3565469openalex-snapshot
Joint Optimization of Dynamic Service Selection and Request Routing in Cloud-Edge Collaborative Environments
inferred← citeshttps://doi.org/10.1109/jiot.2026.3720543openalex-snapshot
Mobility-Aware Adaptive Microservice Deployment and Scheduling in Cloud--Edge Collaborative Environments
inferred← citeshttps://doi.org/10.1109/tce.2025.3543942openalex-snapshot
Efficient Layer Sharing for Application Deployment in Edge Computing Environment
inferred← citeshttps://doi.org/10.1109/tce.2026.3682624openalex-snapshot
AFA-Fed: Adaptive Fast Asynchronous Federated Learning for Resource-Constrained Edge Devices
inferred← citeshttps://doi.org/10.1109/tnsm.2024.3483634openalex-snapshot
TP-MDU: A Two-Phase Microservice Deployment Based on Minimal Deployment Unit in Edge Computing Environment
inferred← citeshttps://doi.org/10.1109/tnsm.2025.3595004openalex-snapshot
Location-Aware Dynamic Scaling of Microservices in Mobile Edge Computing
inferred← citeshttps://doi.org/10.1109/tnsm.2026.3696137openalex-snapshot
Elastic Scaling for Microservices in Cloud-Edge Collaborative Environments: A Workload Prediction-Driven Approach
inferred← citeshttps://doi.org/10.1145/3797552.3797728openalex-snapshot
Nvivo-SPSS synergy driven elderly education course supply-demand matching diagnostic model construction research
inferred← citeshttps://doi.org/10.3390/electronics15194368openalex-snapshot
User Mobility-Aware Proactive Video Caching Migration in Mobile Edge Computing
inferred← citeshttps://doi.org/10.3390/math13132160openalex-snapshot
A Local Pareto Front Guided Microscale Search Algorithm for Multi-Modal Multi-Objective Optimization
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