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A cost‐efficient and QoS‐aware adaptive placement of applications in fog computing

https://doi.org/10.1002/cpe.7701
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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/dac.4340openalex-snapshot
Quality of service‐aware approaches in fog computing
inferredcites →https://doi.org/10.1002/spe.2509openalex-snapshot
iFogSim: A toolkit for modeling and simulation of resource management techniques in the Internet of Things, Edge and Fog computing environments
inferredcites →https://doi.org/10.1007/s11227-017-2133-4openalex-snapshot
An adaptive task allocation technique for green cloud computing
inferredcites →https://doi.org/10.1016/j.future.2018.12.055openalex-snapshot
A computation offloading method over big data for IoT-enabled cloud-edge computing
inferredcites →https://doi.org/10.1016/j.future.2019.06.002openalex-snapshot
Intelligent security and optimization in Edge/Fog Computing
inferredcites →https://doi.org/10.1016/j.jnca.2020.102674openalex-snapshot
QoS-aware service provisioning in fog computing
inferredcites →https://doi.org/10.1016/j.jpdc.2018.03.004openalex-snapshot
Quality of Experience (QoE)-aware placement of applications in Fog computing environments
inferredcites →https://doi.org/10.1016/j.jpdc.2022.05.005openalex-snapshot
An intelligence energy consumption model based on BP neural network in mobile edge computing
inferredcites →https://doi.org/10.1016/j.jss.2019.04.058openalex-snapshot
ROUTER: Fog enabled cloud based intelligent resource management approach for smart home IoT devices
inferredcites →https://doi.org/10.1016/j.sjbs.2017.01.043openalex-snapshot
A resource-sharing model based on a repeated game in fog computing
inferredcites →https://doi.org/10.1109/access.2017.2728624openalex-snapshot
Fog-Assisted Operational Cost Reduction for Cloud Data Centers
inferredcites →https://doi.org/10.1109/ccdc.2017.7979158openalex-snapshot
A coalitional game based mechanism for resource sharing in geo-distributed mobile cloud computing
inferredcites →https://doi.org/10.1109/cscloud.2016.34openalex-snapshot
Scalable Fog Computing with Service Offloading in Bus Networks
inferredcites →https://doi.org/10.1109/dsdis.2015.115openalex-snapshot
Combining Mobile and Fog Computing: Using CoAP to Link Mobile Device Clouds with Fog Computing
inferredcites →https://doi.org/10.1109/hpca.2015.7056028openalex-snapshot
Event-based scheduling for energy-efficient QoS (eQoS) in mobile Web applications
inferredcites →https://doi.org/10.1109/icfec.2017.12openalex-snapshot
Towards QoS-Aware Fog Service Placement
inferredcites →https://doi.org/10.1109/infcomw.2019.8845252openalex-snapshot
A Multi-tier Cost Model for Effective User Scheduling in Fog Computing Networks
inferredcites →https://doi.org/10.1109/mcc.2017.27openalex-snapshot
Mobility-Aware Application Scheduling in Fog Computing
inferredcites →https://doi.org/10.1109/mcom.2017.1700208openalex-snapshot
Cooperative Fog Computing for Dealing with Big Data in the Internet of Vehicles: Architecture and Hierarchical Resource Management
inferredcites →https://doi.org/10.1109/milcom.2014.265openalex-snapshot
Opportunistic Peer-to-Peer Mobile Cloud Computing at the Tactical Edge
inferredcites →https://doi.org/10.1109/mnet.2016.7513863openalex-snapshot
Fog-computing-based radio access networks: issues and challenges
inferredcites →https://doi.org/10.1109/percomw.2016.7457059openalex-snapshot
Analysis of fog model considering computing and communication latency in 5G cellular networks
inferredcites →https://doi.org/10.1109/tase.2013.2266338openalex-snapshot
A Toolkit for Modeling and Simulation of Real-Time Virtual Machine Allocation in a Cloud Data Center
inferredcites →https://doi.org/10.1109/tcc.2016.2617374openalex-snapshot
Energy-Aware VM Consolidation in Cloud Data Centers Using Utilization Prediction Model
inferredcites →https://doi.org/10.1109/tgcn.2021.3067309openalex-snapshot
AFED-EF: An Energy-Efficient VM Allocation Algorithm for IoT Applications in a Cloud Data Center
inferredcites →https://doi.org/10.1109/tgcn.2021.3121961openalex-snapshot
ECMS: An Edge Intelligent Energy Efficient Model in Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tii.2018.2791619openalex-snapshot
Sustainable Service Allocation Using a Metaheuristic Technique in a Fog Server for Industrial Applications
inferredcites →https://doi.org/10.1109/tii.2022.3165085openalex-snapshot
IECL: An Intelligent Energy Consumption Model for Cloud Manufacturing
inferredcites →https://doi.org/10.1109/tmc.2018.2815533openalex-snapshot
Resource Sharing of a Computing Access Point for Multi-User Mobile Cloud Offloading with Delay Constraints
inferredcites →https://doi.org/10.1109/tmc.2020.2967041openalex-snapshot
An Application Placement Technique for Concurrent IoT Applications in Edge and Fog Computing Environments
inferredcites →https://doi.org/10.1109/tnet.2015.2487344openalex-snapshot
Efficient Multi-User Computation Offloading for Mobile-Edge Cloud Computing
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.2018.2859307openalex-snapshot
Adaptive and Fault-Tolerant Data Processing in Healthcare IoT Based on Fog Computing
inferredcites →https://doi.org/10.1109/tvt.2016.2532863openalex-snapshot
Vehicular Fog Computing: A Viewpoint of Vehicles as the Infrastructures
inferredcites →https://doi.org/10.1109/twc.2017.2703901openalex-snapshot
Computation Offloading and Resource Allocation in Wireless Cellular Networks With Mobile Edge Computing
inferredcites →https://doi.org/10.1145/1721654.1721672openalex-snapshot
A view of cloud computing
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1145/2492348.2492354openalex-snapshot
Service-oriented heterogeneous resource sharing for optimizing service latency in mobile cloud
inferredcites →https://doi.org/10.1145/3186592openalex-snapshot
Latency-Aware Application Module Management for Fog Computing Environments
inferredcites →https://doi.org/10.1145/3344341.3368800openalex-snapshot
Microservices-based IoT Application Placement within Heterogeneous and Resource Constrained Fog Computing Environments
inferredcites →https://doi.org/10.1145/948109.948150openalex-snapshot
PPay
inferredcites →https://doi.org/10.1186/1869-0238-4-5openalex-snapshot
An analysis of security issues for cloud computing
inferredcites →https://doi.org/10.15439/2014f503openalex-snapshot
The Fog Computing Paradigm: Scenarios and Security Issues
inferredcites →https://doi.org/10.21236/ada440591openalex-snapshot
Enforcing Resource Sharing Agreements Among Distributed Server Clusters
inferredcites →https://doi.org/10.3390/s19071488openalex-snapshot
Container Migration in the Fog: A Performance Evaluation

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.7968openalex-snapshot
Retracted: Minimal channel cost‐based energy‐efficient resource allocation algorithm for task offloading under FoG computing environment
inferred← citeshttps://doi.org/10.1007/978-3-031-67321-4_14openalex-snapshot
Enhancing Cost and Latency Efficiency Through Service Placement in Containerized Fog-Cloud Computing Environments
inferred← citeshttps://doi.org/10.1007/s10586-024-04749-0openalex-snapshot
A hybrid evolutionary algorithm to improve task scheduling and load balancing in fog computing
inferred← citeshttps://doi.org/10.1007/s10586-024-05019-9openalex-snapshot
Improved task scheduling and load balancing in fog computing infrastructure using hybrid evolutionary method
inferred← citeshttps://doi.org/10.1007/s10586-025-05526-3openalex-snapshot
Multi-objective optimization for the performance of task scheduling in homogeneous fog networks
inferred← citeshttps://doi.org/10.1007/s10586-025-05607-3openalex-snapshot
Deadline-Aware and Priority-Driven scheduling for IoT tasks in Fog-Cloud systems using reinforcement learning
inferred← citeshttps://doi.org/10.1007/s10586-026-06372-7openalex-snapshot
Adaptive fog resource management through ML-based prediction SJF scheduling
inferred← citeshttps://doi.org/10.1007/s10619-025-07457-9openalex-snapshot
Hsrpa-LBTS: A Multi-Objective resourcetap allocation scheme for task scheduling in cloud networks
inferred← citeshttps://doi.org/10.1007/s10723-025-09821-6openalex-snapshot
Dynamic and Resource-aware Task Scheduling in Fog-Cloud Environments via an Improved Priority-aware Genetic Algorithm
inferred← citeshttps://doi.org/10.1007/s12083-025-01988-9openalex-snapshot
A model for SLA aware admission control and QoS aware task scheduling in cloud environment
inferred← citeshttps://doi.org/10.1016/j.comnet.2023.110080openalex-snapshot
Optimal Energy-efficient Resource Allocation and Fault Tolerance scheme for task offloading in IoT-FoG Computing Networks
inferred← citeshttps://doi.org/10.1038/s41598-025-04214-xopenalex-snapshot
Autonomous scheduling mechanism based on energy awareness for improving resource allocation in serverless IoT edge
inferred← citeshttps://doi.org/10.1109/jiot.2025.3552504openalex-snapshot
When Computing Follows Vehicles: Decentralized Mobility-Aware Resource Allocation for Edge-to-Cloud Continuum
inferred← citeshttps://doi.org/10.70675/62d7fd26z1815z44e7z9579z53eede2d070fopenalex-snapshot
Assurance de la qualité de service avant le déploiement des systèmes fog avec l’ingénierie basée sur des modèles et DevOps
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