On the public citation graph

SCO-PSO: A Hierarchical Fog-Based Computational Offloading

https://doi.org/10.2139/ssrn.6511600
0 signed · 26 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.
Claim with ORCID
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 See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.
See reference health

What this work says

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

inferredcites →https://doi.org/10.1002/cpe.5581openalex-snapshot
A job scheduling algorithm for delay and performance optimization in fog computing
inferredcites →https://doi.org/10.1007/978-3-030-05366-6_11openalex-snapshot
Data Scheduling and Resource Optimization for Fog Computing Architecture in Industrial IoT
inferredcites →https://doi.org/10.1007/s10586-024-04285-xopenalex-snapshot
Stochastic analysis of fog computing and machine learning for scalable low-latency healthcare monitoring
inferredcites →https://doi.org/10.1007/s11227-021-03941-yopenalex-snapshot
A survey on computation offloading and service placement in fog computing-based IoT
inferredcites →https://doi.org/10.1007/s11227-024-06880-6openalex-snapshot
Next-generation routing for autonomous vehicle networks based on innovative clustering: integrating SDN and fog computing along with AODV upon failure
inferredcites →https://doi.org/10.1007/s11277-020-07446-4openalex-snapshot
Internet of Things (IoT), Applications and Challenges: A Comprehensive Review
inferredcites →https://doi.org/10.1016/j.asoc.2019.04.027openalex-snapshot
Joint optimization method for task scheduling time and energy consumption in mobile cloud computing environment
inferredcites →https://doi.org/10.1016/j.comcom.2020.01.020openalex-snapshot
Distributed and scalable computing framework for improving request processing of wearable IoT assisted medical sensors on pervasive computing system
inferredcites →https://doi.org/10.1080/08839514.2021.2008149openalex-snapshot
An Evolutionary Multi-objective Optimization Technique to Deploy the IoT Services in Fog-enabled Networks: An Autonomous Approach
inferredcites →https://doi.org/10.1109/access.2018.2879988openalex-snapshot
Optimization-Oriented Resource Allocation Management for Vehicular Fog Computing
inferredcites →https://doi.org/10.1109/comst.2015.2444095openalex-snapshot
Internet of Things: A Survey on Enabling Technologies, Protocols, and Applications
inferredcites →https://doi.org/10.1109/jiot.2017.2683200openalex-snapshot
A Survey on Internet of Things: Architecture, Enabling Technologies, Security and Privacy, and Applications
inferredcites →https://doi.org/10.1109/jiot.2018.2823000openalex-snapshot
DEBTS: Delay Energy Balanced Task Scheduling in Homogeneous Fog Networks
inferredcites →https://doi.org/10.1109/jiot.2020.2971325openalex-snapshot
UAV-Aided Edge/Fog Computing in Smart IoT Community for Social Augmented Reality
inferredcites →https://doi.org/10.1109/jiot.2021.3066604openalex-snapshot
Computation Offloading and Wireless Resource Management for Healthcare Monitoring in Fog-Computing-Based Internet of Medical Things
inferredcites →https://doi.org/10.1109/jiot.2024.3403003openalex-snapshot
Energy-Efficient Task Scheduling Using Fault Tolerance Technique for IoT Applications in Fog Computing Environment
inferredcites →https://doi.org/10.1109/tcomm.2017.2787700openalex-snapshot
Computation Offloading and Resource Allocation in Mixed Fog/Cloud Computing Systems With Min-Max Fairness Guarantee
inferredcites →https://doi.org/10.1109/tcomm.2018.2870888openalex-snapshot
Resource Allocation for Ultra-Reliable and Enhanced Mobile Broadband IoT Applications in Fog Network
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/tvt.2018.2820838openalex-snapshot
Joint Radio and Computational Resource Allocation in IoT Fog Computing
inferredcites →https://doi.org/10.1155/2021/5563531openalex-snapshot
Intelligent Computation Offloading for IoT Applications in Scalable Edge Computing Using Artificial Bee Colony Optimization
inferredcites →https://doi.org/10.1177/15501329221107868openalex-snapshot
Design of a general complex problem-solving architecture based on task management and predictive optimization
inferredcites →https://doi.org/10.1177/15501477211035332openalex-snapshot
ScalEdge: A framework for scalable edge computing in Internet of things–based smart systems
inferredcites →https://doi.org/10.3390/a18040230openalex-snapshot
Scalable Resource Provisioning Framework for Fog Computing Using LLM-Guided Q-Learning Approach
inferredcites →https://doi.org/10.3390/electronics9122015openalex-snapshot
Intelligent Fog-Enabled Smart Healthcare System for Wearable Physiological Parameter Detection
inferredcites →https://doi.org/10.48084/etasr.9206openalex-snapshot
Leveraging Community-based Approaches for Enhancing Resource Allocation in Fog Computing Environment
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.