On the public citation graph
Resource provisioning in collaborative fog computing for multiple delay‐sensitive users
0 signed · 38 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.
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known work and none has been retracted — and get a dated CiteStamped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.
What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-230-37405-8_1openalex-snapshot
Introduction to algorithms
inferredcites →https://doi.org/10.1007/bf01737559openalex-snapshot
A class of games possessing pure-strategy Nash equilibria
inferredcites →https://doi.org/10.1007/s12652-011-0083-xopenalex-snapshot
Preface for special issue on “Emotional intelligence and ambient intelligence”
inferredcites →https://doi.org/10.1007/s12652-020-02561-3openalex-snapshot
Autonomous computation offloading and auto-scaling the in the mobile fog computing: a deep reinforcement learning-based approach
inferredcites →https://doi.org/10.1016/j.future.2019.10.018openalex-snapshot
Deadline-based dynamic resource allocation and provisioning algorithms in Fog-Cloud environment
inferredcites →https://doi.org/10.1109/cc.2016.7445510openalex-snapshot
Fog computing dynamic load balancing mechanism based on graph repartitioning
inferredcites →https://doi.org/10.1109/fmec.2017.7946409openalex-snapshot
Cloud, fog and edge: Cooperation for the future?
inferredcites →https://doi.org/10.1109/infocom.2017.8057196openalex-snapshot
QoE and power efficiency tradeoff for fog computing networks with fog node cooperation
inferredcites →https://doi.org/10.1109/infocom.2018.8486269openalex-snapshot
Application Provisioning in FOG Computing-enabled Internet-of-Things: A Network Perspective
inferredcites →https://doi.org/10.1109/infocom.2018.8486329openalex-snapshot
IoT Communication Sharing: Scenarios, Algorithms and Implementation
inferredcites →https://doi.org/10.1109/infocom.2018.8486411openalex-snapshot
Service Entity Placement for Social Virtual Reality Applications in Edge Computing
inferredcites →https://doi.org/10.1109/jiot.2017.2688925openalex-snapshot
Computing Resource Allocation in Three-Tier IoT Fog Networks: A Joint Optimization Approach Combining Stackelberg Game and Matching
inferredcites →https://doi.org/10.1109/jiot.2017.2701408openalex-snapshot
QoS-Aware Deployment of IoT Applications Through the Fog
inferredcites →https://doi.org/10.1109/netsoft.2019.8806671openalex-snapshot
Towards Network-Aware Resource Provisioning in Kubernetes for Fog Computing Applications
inferredcites →https://doi.org/10.1109/tcc.2015.2458272openalex-snapshot
Energy Efficient Cooperative Computing in Mobile Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/tcc.2019.2903240openalex-snapshot
Cost-Efficient Resource Provisioning for Dynamic Requests in Cloud Assisted Mobile Edge Computing
inferredcites →https://doi.org/10.1109/tii.2018.2842821openalex-snapshot
Deep Learning for Smart Industry: Efficient Manufacture Inspection System With Fog Computing
inferredcites →https://doi.org/10.1109/tii.2018.2851241openalex-snapshot
Tasks Scheduling and Resource Allocation in Fog Computing Based on Containers for Smart Manufacturing
inferredcites →https://doi.org/10.1109/tpds.2014.2330298openalex-snapshot
Progressive or Conservative: Rationally Allocate Cooperative Work in Mobile Social Networks
inferredcites →https://doi.org/10.1145/1007352.1007445openalex-snapshot
The complexity of pure Nash equilibria
inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot
Fog computing and its role in the internet of things
inferredcites →https://doi.org/10.1215/00182702-38-1-189openalex-snapshot
Theory of Games and Economic Behavior
inferredcites →https://doi.org/10.3390/s18082423openalex-snapshot
A Distributed and Context-Aware Task Assignment Mechanism for Collaborative Mobile Edge Computing
inferredcites →https://doi.org/10.5383/juspn.13.01.002openalex-snapshot
QoS-Aware Placement of Tasks on a Fog Cluster in an Edge Computing Environment
inferredcites →https://doi.org/10.5815/ijieeb.2016.01.06openalex-snapshot
An Efficient Architecture and Algorithm for Resource Provisioning in Fog Computing
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/spe.3392openalex-snapshot
Leveraging Fog Computing for Security‐Aware Resource Allocation in Narrowband Internet of Things
inferred← citeshttps://doi.org/10.1007/s11227-024-06081-1openalex-snapshot
Fog-Marketing: auction-based multi-tier decentralized markets for fog resource provisioning
inferred← citeshttps://doi.org/10.1109/atnt61688.2024.10719097openalex-snapshot
Controller Selection Module for Switch Migration in Fog Computing Environments
inferred← citeshttps://doi.org/10.1109/tmc.2024.3494793openalex-snapshot
Joint Optimization of Task Offloading and Resource Allocation of Fog Network by Considering Matching Externalities and Dynamics
inferred← citeshttps://doi.org/10.1186/s13677-024-00663-3openalex-snapshot
HybOff: a Hybrid Offloading approach to improve load balancing in fog environments
inferred← citeshttps://doi.org/10.15587/1729-4061.2023.274177openalex-snapshot
Devising a method for balancing the load on a territorially distributed foggy environment
inferred← citeshttps://doi.org/10.15587/1729-4061.2024.298431openalex-snapshot
Devising a method for the virtual clustering of the Internet of Things edge environment
inferred← citeshttps://doi.org/10.21203/rs.3.rs-3753775/v1openalex-snapshot
HybOff: A Hybrid Offloading Approach to Improve Load Balancing in Fog Networks
inferred← citeshttps://doi.org/10.26906/sunz.2026.3.106openalex-snapshot
МЕТОД АДАПТИВНОЇ КЛАСТЕРИЗАЦІЇ МОБІЛЬНИХ ВУЗЛІВ ТУМАННОГО ШАРУ ІНТЕРНЕТУ РЕЧЕЙ
inferred← citeshttps://doi.org/10.31645/jisrc.24.22.1.9openalex-snapshot
A Comparative Analysis of different Vehicular Fog Computing Scheduling Algorithms
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.