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On the Location of Fog Nodes in Fog-Cloud Infrastructures
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1002/9781119042655openalex-snapshot
Cloud Services, Networking, and Management
inferredcites →https://doi.org/10.1007/978-1-84800-382-8openalex-snapshot
Multi-objective Management in Freight Logistics: Increasing Capacity, Service Level and Safety with Optimization Algorithms
inferredcites →https://doi.org/10.1007/978-3-319-05029-4_7openalex-snapshot
Fog Computing: A Platform for Internet of Things and Analytics
inferredcites →https://doi.org/10.1007/s10723-015-9343-xopenalex-snapshot
Topology-Aware Virtual Machine Placement in Data Centers
inferredcites →https://doi.org/10.1016/j.comcom.2017.05.013openalex-snapshot
Do we all really know what a fog node is? Current trends towards an open definition
inferredcites →https://doi.org/10.1016/j.cor.2008.02.010openalex-snapshot
The multi-period incremental service facility location problem
inferredcites →https://doi.org/10.1016/j.future.2013.01.010openalex-snapshot
Internet of Things (IoT): A vision, architectural elements, and future directions
inferredcites →https://doi.org/10.1038/sdata.2015.55openalex-snapshot
A multi-source dataset of urban life in the city of Milan and the Province of Trentino
inferredcites →https://doi.org/10.1109/access.2018.2815629openalex-snapshot
User-Participatory Fog Computing Architecture and Its Management Schemes for Improving Feasibility
inferredcites →https://doi.org/10.1109/cloudnet.2012.6483649openalex-snapshot
Cloptimus: A multi-objective Cloud data center and software component location framework
inferredcites →https://doi.org/10.1109/icadlt.2015.7136601openalex-snapshot
Characterization of mobile phone localization errors with OpenCellID data
inferredcites →https://doi.org/10.1109/icc.2016.7511465openalex-snapshot
Handling service allocation in combined Fog-cloud scenarios
inferredcites →https://doi.org/10.1109/icc.2017.7996722openalex-snapshot
Cost Aware cloudlet Placement for big data processing at the edge
inferredcites →https://doi.org/10.1109/icc.2018.8422237openalex-snapshot
Resource Allocation Mechanism for a Fog-Cloud Infrastructure
inferredcites →https://doi.org/10.1109/latincom.2017.8240187openalex-snapshot
Class of service in fog computing
inferredcites →https://doi.org/10.1109/mcom.2017.1600838openalex-snapshot
TelcoFog: A Unified Flexible Fog and Cloud Computing Architecture for 5G Networks
inferredcites →https://doi.org/10.1109/sahcn.2014.6990335openalex-snapshot
From routine to network deployment for data offloading in metropolitan areas
inferredcites →https://doi.org/10.1109/tcc.2013.2openalex-snapshot
A Tabu Search Algorithm for the Location of Data Centers and Software Components in Green Cloud Computing Networks
inferredcites →https://doi.org/10.1109/tcc.2015.2449834openalex-snapshot
Optimal Cloudlet Placement and User to Cloudlet Allocation in Wireless Metropolitan Area Networks
inferredcites →https://doi.org/10.1109/uic-atc.2017.8397526openalex-snapshot
Complementary base station clustering for cost-effective and energy-efficient cloud-RAN
inferredcites →https://doi.org/10.1111/j.1475-3995.2012.00874.xopenalex-snapshot
Multicriteria decision analysis for sustainable data centers location
inferredcites →https://doi.org/10.1145/3186592openalex-snapshot
Latency-Aware Application Module Management for Fog Computing Environments
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/ett.4603openalex-snapshot
A survey on green unmanned aerial vehicles‐based fog computing: Challenges and future perspective
inferred← citeshttps://doi.org/10.1007/978-3-030-80821-1_1openalex-snapshot
An Optimization View to the Design of Edge Computing Infrastructures for IoT Applications
inferred← citeshttps://doi.org/10.1007/978-3-031-06371-8_6openalex-snapshot
Energy and Load Aware Fog Node Placement for Smart Farming
inferred← citeshttps://doi.org/10.1007/978-3-031-27609-5_10openalex-snapshot
Designing Fog Device Network for Digitization of University Campus
inferred← citeshttps://doi.org/10.1007/s10586-026-06234-2openalex-snapshot
Mapping and scheduling swarms of moldable streaming applications for energy-efficient computing in the heterogeneous edge-cloud continuum
inferred← citeshttps://doi.org/10.1007/s10723-026-09832-xopenalex-snapshot
Fog Device Deployment for Enhanced Edge Communication and Network Cohesion using JAYA
inferred← citeshttps://doi.org/10.1007/s11235-019-00639-8openalex-snapshot
A tutorial survey on vehicle-to-vehicle communications
inferred← citeshttps://doi.org/10.1007/s11276-023-03339-zopenalex-snapshot
An edge server deployment approach for delay reduction and reliability enhancement in the industrial internet
inferred← citeshttps://doi.org/10.1007/s12243-021-00845-zopenalex-snapshot
SOSW: scalable and optimal nearsighted location selection for fog node deployment and routing in SDN-based wireless networks for IoT systems
inferred← citeshttps://doi.org/10.1007/s12652-024-04796-wopenalex-snapshot
A hybrid model using JAYA-GA metaheuristics for placement of fog nodes in fog-integrated cloud
inferred← citeshttps://doi.org/10.1007/s42979-023-02468-8openalex-snapshot
FNSS: A Heuristics for Fog Node Site Selection
inferred← citeshttps://doi.org/10.1016/j.asoc.2023.110393openalex-snapshot
An integrated Fuzzy-BWM, Fuzzy-LBWA and V-Fuzzy-CoCoSo-LD model for gateway selection in fog-bolstered Internet of Things
inferred← citeshttps://doi.org/10.1016/j.comcom.2022.04.009openalex-snapshot
Multimedia services placement algorithm for cloud–fog hierarchical environments
inferred← citeshttps://doi.org/10.1016/j.comcom.2025.108315openalex-snapshot
A preemptive task unloading scheme based on second optional unloading in cloud-fog collaborative networks
inferred← citeshttps://doi.org/10.1016/j.comnet.2022.109208openalex-snapshot
A geographical-aware state deployment service for Fog Computing
inferred← citeshttps://doi.org/10.1016/j.dcan.2022.10.015openalex-snapshot
Resource management at the network edge for federated learning
inferred← citeshttps://doi.org/10.1016/j.future.2024.04.010openalex-snapshot
Optimizing fog device deployment for maximal network connectivity and edge coverage using metaheuristic algorithm
inferred← citeshttps://doi.org/10.1016/j.jpdc.2021.03.007openalex-snapshot
Edge computing server placement with capacitated location allocation
inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101821openalex-snapshot
A Maude-Based rewriting approach to model and verify Cloud/Fog self-adaptation and orchestration
inferred← citeshttps://doi.org/10.1016/j.vehcom.2023.100600openalex-snapshot
Location of fog nodes mounted on fixed-wing UAVs
inferred← citeshttps://doi.org/10.1038/s41598-024-81684-5openalex-snapshot
An edge server placement based on graph clustering in mobile edge computing
inferred← citeshttps://doi.org/10.1049/ntw2.12087openalex-snapshot
A survey on edge and fog nodes' placement methods, techniques, parameters, and constraints
inferred← citeshttps://doi.org/10.1109/access.2021.3094033openalex-snapshot
Fog Based Architecture and Load Balancing Methodology for Health Monitoring Systems
inferred← citeshttps://doi.org/10.1109/access.2024.3462518openalex-snapshot
Heuristic Scheduling Algorithm for Workflow Applications in Cloud-Fog Computing Based on Realistic Client Port Communication
inferred← citeshttps://doi.org/10.1109/comst.2021.3101460openalex-snapshot
Survey on Placement Methods in the Edge and Beyond
inferred← citeshttps://doi.org/10.1109/fmec62297.2024.10710310openalex-snapshot
Energy-Efficient Scheduling of Moldable Streaming Computations for the Edge-Cloud Continuum
inferred← citeshttps://doi.org/10.1109/gcwkshps52748.2021.9681975openalex-snapshot
Performance Analysis of Mobile Computing in Edge/Cloud Configurations with Feedback
inferred← citeshttps://doi.org/10.1109/icfec50348.2020.00011openalex-snapshot
Modelling Fog Offloading Performance
inferred← citeshttps://doi.org/10.1109/iotm.0001.1900096openalex-snapshot
Leveraging IoT and Fog Computing in Healthcare Systems
inferred← citeshttps://doi.org/10.1109/jiot.2024.3355468openalex-snapshot
Efficient Content Distribution in Fog-Based CDN: A Joint Optimization Algorithm for Fog-Node Placement and Content Delivery
inferred← citeshttps://doi.org/10.1109/mwc.101.2100018openalex-snapshot
Evaluation of the Employment of UAVs as Fog Nodes
inferred← citeshttps://doi.org/10.1109/nca53618.2021.9685491openalex-snapshot
Impact of theoretical performance models on the design of fog computing infrastructures
inferred← citeshttps://doi.org/10.1109/tgcn.2020.2986753openalex-snapshot
Location of Fog Nodes for Reduction of Energy Consumption of End-User Devices
inferred← citeshttps://doi.org/10.1109/ucc48980.2020.00059openalex-snapshot
Performance Analysis of Edge-Fog-Cloud Architectures in the Internet of Things
inferred← citeshttps://doi.org/10.1142/s0218126622500177openalex-snapshot
Low Latency Aware Fog Nodes Placement in Internet of Things Service Infrastructure
inferred← citeshttps://doi.org/10.1145/3460179.3460185openalex-snapshot
Scalable Peer-to-Peer Fog Computing Integrated to a Fast-Searching Distributed Blockchain System
inferred← citeshttps://doi.org/10.1155/2022/9208066openalex-snapshot
Effective Task Scheduling in Critical Fog Applications
inferred← citeshttps://doi.org/10.1186/s13677-024-00695-9openalex-snapshot
A cost-efficient content distribution optimization model for fog-based content delivery networks
inferred← citeshttps://doi.org/10.2139/ssrn.5353106openalex-snapshot
Toward Resilient and Intelligent Infrastructure: A Survey of Smart Monitoring Systems and Emerging Technologies
inferred← citeshttps://doi.org/10.32604/csse.2023.038545openalex-snapshot
A Multi-Objective Genetic Algorithm Based Load Balancing Strategy for Health Monitoring Systems in Fog-Cloud
inferred← citeshttps://doi.org/10.3390/bdcc6030081openalex-snapshot
An Evaluation of Key Adoption Factors towards Using the Fog Technology
inferred← citeshttps://doi.org/10.3390/electronics8080896openalex-snapshot
Road Accidents Detection, Data Collection and Data Analysis Using V2X Communication and Edge/Cloud Computing
inferred← citeshttps://doi.org/10.3390/electronics9091501openalex-snapshot
Reinforcement Learning Based Passengers Assistance System for Crowded Public Transportation in Fog Enabled Smart City
inferred← citeshttps://doi.org/10.3390/fi15100342openalex-snapshot
Challenges of Network Forensic Investigation in Fog and Edge Computing
inferred← citeshttps://doi.org/10.3390/s19183830openalex-snapshot
Online Workload Allocation via Fog-Fog-Cloud Cooperation to Reduce IoT Task Service Delay
inferred← citeshttps://doi.org/10.3390/s23042300openalex-snapshot
Case Studies with the Contiki-NG Simulator to Design Strategies for Sensors’ Communication Optimization in an IoT-Fog Ecosystem
inferred← citeshttps://doi.org/10.4018/979-8-3693-9356-7.ch017openalex-snapshot
AI-Powered Tools to Enhance the Stages of Software Development
inferred← citeshttps://doi.org/10.48550/arxiv.2107.03428openalex-snapshot
Management of Resource at the Network Edge for Federated Learning
inferred← citeshttps://doi.org/10.5753/sbrc_estendido.2023.697openalex-snapshot
The Fog Node Location Problem
inferred← citeshttps://doi.org/10.58414/scientifictemper.2025.16.2.11openalex-snapshot
Energy efficient techniques for iot application on resource aware fog computing paradigm
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