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A systematic review on task scheduling in Fog computing: Taxonomy, tools, challenges, and future directions

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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.4583openalex-snapshot

Task scheduling approaches in fog computing: A systematic review

inferredcites →https://doi.org/10.1002/ett.3770openalex-snapshot

An efficient task scheduling approach using moth‐flame optimization algorithm for cyber‐physical system applications in fog computing

inferredcites →https://doi.org/10.1002/ett.3792openalex-snapshot

aTask scheduling approaches in fog computing: A survey

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/10.1002/spe.2722openalex-snapshot

Load balancing aware scheduling algorithms for fog networks

inferredcites →https://doi.org/10.1002/spe.2867openalex-snapshot

FPFTS: A joint fuzzy particle swarm optimization mobility‐aware approach to fog task scheduling algorithm for Internet of Things devices

inferredcites →https://doi.org/10.1002/spe.995openalex-snapshot

CloudSim: a toolkit for modeling and simulation of cloud computing environments and evaluation of resource provisioning algorithms

inferredcites →https://doi.org/10.1007/978-1-4471-6587-3_22openalex-snapshot

Data Standards of the American College of Cardiology Foundation (ACCF) and the American Heart Association (AHA) and the Universal Pediatric Cardiac Dataset

inferredcites →https://doi.org/10.1007/978-3-030-03359-0_2openalex-snapshot

Trust Model Based Scheduling of Stochastic Workflows in Cloud and 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/10.1007/978-3-030-17642-6_17openalex-snapshot

A Cost-Effective Time-Constrained Multi-workflow Scheduling Strategy in Fog Computing

inferredcites →https://doi.org/10.1007/978-3-030-34209-8_4openalex-snapshot

Introduction to Algorithms

inferredcites →https://doi.org/10.1007/978-3-030-36056-6_31openalex-snapshot

Divisible Load Framework and Close Form for Scheduling in Fog Computing Systems

inferredcites →https://doi.org/10.1007/978-3-319-13826-8_11openalex-snapshot

Sustainable Building Design: A Review on Recent Metaheuristic Methods

inferredcites →https://doi.org/10.1007/978-3-319-77398-8_2openalex-snapshot

Analysis of Mixed Workloads from Shared Cloud Infrastructure

inferredcites →https://doi.org/10.1007/978-3-319-94890-4openalex-snapshot

Fog Computing

inferredcites →https://doi.org/10.1007/978-3-319-98557-2_4openalex-snapshot

Cuckoo Optimization Algorithm Based Job Scheduling Using Cloud and Fog Computing in Smart Grid

inferredcites →https://doi.org/10.1007/978-3-642-13495-1_44openalex-snapshot

Fireworks Algorithm for Optimization

inferredcites →https://doi.org/10.1007/978-981-15-3325-9_7openalex-snapshot

A Survey on Task Scheduling and Resource Allocation Methods in Fog Based IoT Applications

inferredcites →https://doi.org/10.1007/978-981-15-4451-4_53openalex-snapshot

Techniques for Task Scheduling in Cloud and Fog Environment: A Survey

inferredcites →https://doi.org/10.1007/978-981-15-7345-3_72openalex-snapshot

A Novel Task Scheduling Model for Fog Computing

inferredcites →https://doi.org/10.1007/s00607-019-00786-5openalex-snapshot

Quantumized approach of load scheduling in fog computing environment for IoT applications

inferredcites →https://doi.org/10.1007/s11042-018-7051-9openalex-snapshot

A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments

inferredcites →https://doi.org/10.1007/s12652-018-1071-1openalex-snapshot

An efficient Swarm-Intelligence approach for task scheduling in cloud-based internet of things applications

inferredcites →https://doi.org/10.1016/b978-0-12-416743-8.00001-4openalex-snapshot

Introduction to Algorithms

inferredcites →https://doi.org/10.1016/j.future.2018.05.008openalex-snapshot

Security and trust issues in Fog computing: A survey

inferredcites →https://doi.org/10.1016/j.future.2018.12.063openalex-snapshot

Container-based fog computing architecture and energy-balancing scheduling algorithm for energy IoT

inferredcites →https://doi.org/10.1016/j.future.2019.10.003openalex-snapshot

A two-tier bipartite graph task allocation approach based on fuzzy clustering in cloud–fog environment

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/10.1016/j.jnca.2021.103008openalex-snapshot

Context-aware scheduling in Fog computing: A survey, taxonomy, challenges and future directions

inferredcites →https://doi.org/10.1016/j.jpdc.2020.04.008openalex-snapshot

A new energy-aware tasks scheduling approach in fog computing using hybrid meta-heuristic algorithm

inferredcites →https://doi.org/10.1016/j.simpat.2019.101982openalex-snapshot

A Scheduling Algorithm for a Fog Computing System with Bag-of-Tasks Jobs: Simulation and Performance Evaluation

inferredcites →https://doi.org/10.1016/j.suscom.2019.100355openalex-snapshot

A novel four-tier architecture for delay aware scheduling and load balancing in fog environment

inferredcites →https://doi.org/10.1080/17517575.2017.1304579openalex-snapshot

Fog computing job scheduling optimization based on bees swarm

inferredcites →https://doi.org/10.1088/1742-6596/1411/1/012007openalex-snapshot

Fog computing task scheduling optimization based on multi-objective simplified swarm optimization

inferredcites →https://doi.org/10.1088/1757-899x/1022/1/012026openalex-snapshot

Fog Computing Serverless Architecture for Real Time Unpredictable Traffic

inferredcites →https://doi.org/10.1109/access.2017.2692960openalex-snapshot

From Cloud to Fog Computing: A Review and a Conceptual Live VM Migration Framework

inferredcites →https://doi.org/10.1109/access.2017.2756826openalex-snapshot

A Cooperative-Based Model for Smart-Sensing Tasks in Fog Computing

inferredcites →https://doi.org/10.1109/access.2018.2866491openalex-snapshot

Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions

inferredcites →https://doi.org/10.1109/access.2018.2877696openalex-snapshot

FogNetSim++: A Toolkit for Modeling and Simulation of Distributed Fog Environment

inferredcites →https://doi.org/10.1109/access.2018.2883662openalex-snapshot

Mobility-Aware Fog Computing in Dynamic Environments: Understandings and Implementation

inferredcites →https://doi.org/10.1109/access.2019.2908263openalex-snapshot

Mobility-Aware Task Offloading and Migration Schemes in Fog Computing Networks

inferredcites →https://doi.org/10.1109/access.2019.2927895openalex-snapshot

YAFS: A Simulator for IoT Scenarios in Fog Computing

inferredcites →https://doi.org/10.1109/access.2020.2973758openalex-snapshot

Task Scheduling Algorithm Based on Improved Firework Algorithm in Fog Computing

inferredcites →https://doi.org/10.1109/aina.2010.32openalex-snapshot

CloudAnalyst: A CloudSim-Based Visual Modeller for Analysing Cloud Computing Environments and Applications

inferredcites →https://doi.org/10.1109/apnoms.2016.7737240openalex-snapshot

Towards task scheduling in a cloud-fog computing system

inferredcites →https://doi.org/10.1109/cesys.2016.7889811openalex-snapshot

A survey on nature inspired meta-heuristic algorithms with its domain specifications

inferredcites →https://doi.org/10.1109/cic.1990.144205openalex-snapshot

The MIT-BIH Arrhythmia Database on CD-ROM and software for use with it

inferredcites →https://doi.org/10.1109/compsac.2018.00085openalex-snapshot

Energy Efficient Scheduling for Heterogeneous Fog Computing Architectures

inferredcites →https://doi.org/10.1109/comst.2018.2794881openalex-snapshot

A Survey on Virtual Machine Migration: Challenges, Techniques, and Open Issues

inferredcites →https://doi.org/10.1109/ficloud.2018.00055openalex-snapshot

PASHE: Privacy Aware Scheduling in a Heterogeneous Fog Environment

inferredcites →https://doi.org/10.1109/ficloud.2018.00059openalex-snapshot

A Rank Scheduling Mechanism for Fog Environments

inferredcites →https://doi.org/10.1109/fmec.2019.8795304openalex-snapshot

Online User-driven Task Scheduling for FemtoClouds

inferredcites →https://doi.org/10.1109/icc.2018.8422316openalex-snapshot

Fair Task Offloading among Fog Nodes in Fog Computing Networks

inferredcites →https://doi.org/10.1109/icc.2018.8423003openalex-snapshot

Fogbed: A Rapid-Prototyping Emulation Environment for Fog Computing

inferredcites →https://doi.org/10.1109/iccitechn.2018.8631959openalex-snapshot

Task Scheduling for Big Data Management in Fog Infrastructure

inferredcites →https://doi.org/10.1109/icct.2017.8359780openalex-snapshot

Task scheduling in fog enabled Internet of Things for smart cities

inferredcites →https://doi.org/10.1109/icspis.2017.8311595openalex-snapshot

A security aware scheduling in fog computing by hyper heuristic algorithm

inferredcites →https://doi.org/10.1109/iecon.2019.8927065openalex-snapshot

SoFA: A Spark-oriented Fog Architecture

inferredcites →https://doi.org/10.1109/iwcmc.2019.8766437openalex-snapshot

Ranking Fog nodes for Tasks Scheduling in Fog-Cloud Environments: A Fuzzy Logic Approach

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.2018.2846644openalex-snapshot

MEETS: Maximal Energy Efficient Task Scheduling in Homogeneous Fog Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2884720openalex-snapshot

DATS: Dispersive Stable Task Scheduling in Heterogeneous Fog Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2887229openalex-snapshot

FEMTO: Fair and Energy-Minimized Task Offloading for Fog-Enabled IoT Networks

inferredcites →https://doi.org/10.1109/jiot.2018.2887264openalex-snapshot

DOTS: Delay-Optimal Task Scheduling Among Voluntary Nodes in Fog Networks

inferredcites →https://doi.org/10.1109/lcomm.2019.2957741openalex-snapshot

Deadline-Aware Fair Scheduling for Offloaded Tasks in Fog Computing With Inter-Fog Dependency

inferredcites →https://doi.org/10.1109/mcc.2017.27openalex-snapshot

Mobility-Aware Application Scheduling in Fog Computing

inferredcites →https://doi.org/10.1109/tii.2018.2818932openalex-snapshot

Fog Computing for Energy-Aware Load Balancing and Scheduling in Smart Factory

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/tii.2020.3001067openalex-snapshot

Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications

inferredcites →https://doi.org/10.1109/trustcom/bigdatase/icess.2017.360openalex-snapshot

FBRC: Optimization of task Scheduling in Fog-Based Region and Cloud

inferredcites →https://doi.org/10.1109/tsc.2019.2914649openalex-snapshot

Scheduling Real-Time Security Aware Tasks in Fog Networks

inferredcites →https://doi.org/10.1109/tsc.2019.2944360openalex-snapshot

Improving the Schedulability of Real-Time Tasks Using Fog Computing

inferredcites →https://doi.org/10.1109/tvt.2019.2943647openalex-snapshot

Learning-Based Task Offloading for Delay-Sensitive Applications in Dynamic Fog Networks

inferredcites →https://doi.org/10.1109/vtcfall.2019.8891573openalex-snapshot

Online Task Scheduling for Fog Computing with Multi-Resource Fairness

inferredcites →https://doi.org/10.1109/vtcspring.2015.7146129openalex-snapshot

The Fog Balancing: Load Distribution for Small Cell Cloud Computing

inferredcites →https://doi.org/10.1109/wcnc.2018.8377095openalex-snapshot

Community-based allocation and migration strategies for fog computing

inferredcites →https://doi.org/10.1109/wcsp.2018.8555532openalex-snapshot

Delay Minimized Task Scheduling in Fog-Enabled IoT Networks

inferredcites →https://doi.org/10.1145/2342509.2342513openalex-snapshot

Fog computing and its role in the internet of things

inferredcites →https://doi.org/10.1145/3190645.3190699openalex-snapshot

Prioritized task scheduling in fog computing

inferredcites →https://doi.org/10.1145/3277893.3277896openalex-snapshot

A Unified Cross-entropy Based Task Scheduling Algorithm for Heterogeneous Fog Networks

inferredcites →https://doi.org/10.1155/2018/1046836openalex-snapshot

Channel Characterization and Modeling for 5G and Future Wireless System Based on Big Data

inferredcites →https://doi.org/10.1155/2018/2734219openalex-snapshot

Immune Scheduling Network Based Method for Task Scheduling in Decentralized Fog Computing

inferredcites →https://doi.org/10.1155/2018/5296406openalex-snapshot

Fog Computing‐Assisted Energy‐Efficient Resource Allocation for High‐Mobility MIMO‐OFDMA Networks

inferredcites →https://doi.org/10.1177/1550147717742073openalex-snapshot

A cost- and performance-effective approach for task scheduling based on collaboration between cloud and fog computing

inferredcites →https://doi.org/10.12694/scpe.v20i2.1538openalex-snapshot

Dynamic Task Scheduling using Balanced VM Allocation Policy for Fog Computing Platforms

inferredcites →https://doi.org/10.1364/jocn.10.00b152openalex-snapshot

Joint Jobs Scheduling and Lightpath Provisioning in Fog Computing Micro Datacenter Networks

inferredcites →https://doi.org/10.23919/inm.2017.7987304openalex-snapshot

CloudSim Plus: A cloud computing simulation framework pursuing software engineering principles for improved modularity, extensibility and correctness

inferredcites →https://doi.org/10.3390/app9091730openalex-snapshot

Evolutionary Algorithms to Optimize Task Scheduling Problem for the IoT Based Bag-of-Tasks Application in Cloud–Fog Computing Environment

inferredcites →https://doi.org/10.3390/s19051023openalex-snapshot

Task Scheduling Based on a Hybrid Heuristic Algorithm for Smart Production Line with Fog Computing

inferredcites →https://doi.org/10.3390/s20020441openalex-snapshot

A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System

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.7836openalex-snapshot

Context‐aware application scheduling in fog computing environment

inferred← citeshttps://doi.org/10.1002/ett.4523openalex-snapshot

A systematic review of task scheduling approaches in fog computing

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CaPTS scheduler: A context‐aware priority tuple scheduling for Fog computing paradigm

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Mobile Cloud Computing Paradigm: A Survey of Operational Concerns, Challenges and Open Issues

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Multi‐Party Quantum Key Distribution Using Variational Quantum Eigensolvers

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Multiple Criteria Decision Making-Based Task Offloading and Scheduling in Fog Environment

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“Fault-Tolerant Task Scheduling Using Machine Learning Approaches in Fog Computing”: A Comprehensive Review

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Wild Horse Optimization Algorithm-Based Energy-Efficient Task Scheduling for Fog Computing Environment

inferred← citeshttps://doi.org/10.1007/978-981-99-2602-2_56openalex-snapshot

Optimized Energy Efficient Task Scheduling in Fog Computing

inferred← citeshttps://doi.org/10.1007/s10586-022-03586-3openalex-snapshot

The effect of QoS and QoE requirements for designing task processing controller based on fuzzy logic on IoT environments

inferred← citeshttps://doi.org/10.1007/s10586-022-03641-zopenalex-snapshot

TRAP: task-resource adaptive pairing for efficient scheduling in fog computing

inferred← citeshttps://doi.org/10.1007/s10586-023-03991-2openalex-snapshot

Task scheduling in the internet of things: challenges, solutions, and future trends

inferred← citeshttps://doi.org/10.1007/s10586-024-04771-2openalex-snapshot

Independent task scheduling algorithms in fog environments from users’ and service providers’ perspectives: a systematic review

inferred← citeshttps://doi.org/10.1007/s10586-025-05200-8openalex-snapshot

Energizing the fog: a systematic survey on task scheduling strategies for energy optimization

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/s11042-023-16399-2openalex-snapshot

Machine learning-based solutions for resource management in fog computing

inferred← citeshttps://doi.org/10.1007/s11042-023-17632-8openalex-snapshot

Pelican optimization algorithm with blockchain for secure load balancing in fog computing

inferred← citeshttps://doi.org/10.1007/s11063-025-11819-wopenalex-snapshot

Optimized Task Scheduling in Fog-Cloud Computing Using Hybrid Deep Learning and Metaheuristic Algorithms

inferred← citeshttps://doi.org/10.1007/s11831-023-10021-2openalex-snapshot

Next Generation Task Offloading Techniques in Evolving Computing Paradigms: Comparative Analysis, Current Challenges, and Future Research Perspectives

inferred← citeshttps://doi.org/10.1007/s11831-026-10579-7openalex-snapshot

A Comprehensive Survey on Fog Computing: Architectures, Techniques, Challenges, and Future Directions

inferred← citeshttps://doi.org/10.1007/s12145-024-01291-wopenalex-snapshot

An adaptive mobility-aware secure handover and scheduling protocol for Earth Observation (EO) communication using fog computing

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Multi-parametric and priority driven particle swarm (MPPPSO) optimized task scheduling approach for improving performance of fog computing system

inferred← citeshttps://doi.org/10.1007/s42979-022-01639-3openalex-snapshot

Energy-Efficient Task Scheduling in Fog Computing Based on Particle Swarm Optimization

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Deep Learning-Based Task Scheduling in Edge IoT Networks: A CNN-Driven Approach for Optimized Resource Management and Performance Enhancement

inferred← citeshttps://doi.org/10.1007/s44163-025-00601-5openalex-snapshot

Towards smarter IoT through taxonomy and prospective directions for microservices placement in fog computing paradigms

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Performance-driven closed-loop optimization and control for smart manufacturing processes in the cloud-edge-device collaborative architecture: A review and new perspectives

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Task scheduling in fog environment — Challenges, tools & methodologies: A review

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Deadline-aware and energy-efficient IoT task scheduling in fog computing systems: A semi-greedy approach

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PredictOptiCloud: A hybrid framework for predictive optimization in hybrid workload cloud task scheduling

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IKH-EFT: An improved method of workflow scheduling using the krill herd algorithm in the fog-cloud environment

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E-AVOA-TS: Enhanced African vultures optimization algorithm-based task scheduling strategy for fog–cloud computing

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Task Scheduling Mechanisms for Fog Computing: A Systematic Survey

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A Review on Task Scheduling Techniques in Cloud and Fog Computing: Taxonomy, Tools, Open Issues, Challenges, and Future Directions

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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review

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Deep Learning-Centric Task Offloading in IoT-Fog-Cloud Continuum: A State-of-the-Art Review, Open Research Issues, and Future Directions

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Towards Cost Estimation of DRL for Task Scheduling and Placement

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Real-Time Task Scheduling and Resource Scheduling in Fog Computing using Deep Learning Techniques

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An Extensive Analysis and Survey of Task Scheduling Algorithms In Cloud Fog Computing

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Cloud Computing Resource Scheduling Method Based on Optimization Theory

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A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective

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Advancements in heuristic task scheduling for IoT applications in fog-cloud computing: challenges and prospects

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