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Task scheduling approaches in fog computing: A systematic review
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Outgoing claims: the papers this work cites, builds on, or argues with.
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An overview of Fog computing and its security issues
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A job scheduling algorithm for delay and performance optimization in fog computing
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A genetic algorithm‐based task scheduling for cloud resource crowd‐funding model
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Tackling IoT Ultra Large Scale Systems: Fog Computing in Support of Hierarchical Emergent Behaviors
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Fog Computing in Medical Internet-of-Things: Architecture, Implementation, and Applications
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An Efficient Allocation Mechanism for Crowdsourcing Tasks with Minimum Execution Time
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Review: Security and Privacy Issues of Fog Computing for the Internet of Things (IoT)
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A Novel Context and Load-Aware Family Genetic Algorithm Based Task Scheduling in Cloud Computing
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IoT Infrastructure: Fog Computing Surpasses Cloud Computing
inferredcites →https://doi.org/10.1007/978-981-10-5544-7_19openalex-snapshot
Distributed Task Scheduling in Cloud Platform: A Survey
inferredcites →https://doi.org/10.1007/978-981-10-5861-5_5openalex-snapshot
Fog Computing: A Taxonomy, Survey and Future Directions
inferredcites →https://doi.org/10.1007/978-981-15-2414-1_57openalex-snapshot
Energy-Efficient Resource Scheduling in Fog Computing Using SDN Framework
inferredcites →https://doi.org/10.1007/s11277-017-5200-5openalex-snapshot
Multi-objective Optimization of Resource Scheduling in Fog Computing Using an Improved NSGA-II
inferredcites →https://doi.org/10.1007/s12652-018-0914-0openalex-snapshot
A lightweight decentralized service placement policy for performance optimization in fog computing
inferredcites →https://doi.org/10.1016/b978-0-12-805395-9.00004-6openalex-snapshot
Fog Computing: principles, architectures, and applications
inferredcites →https://doi.org/10.1016/j.comnet.2020.107348openalex-snapshot
Mobility-aware task scheduling in cloud-Fog IoT-based healthcare architectures
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/10.1016/j.future.2017.04.026openalex-snapshot
QoS-aware genetic Cloud Brokering
inferredcites →https://doi.org/10.1016/j.future.2017.08.046openalex-snapshot
An open IoT platform for the management and analysis of energy data
inferredcites →https://doi.org/10.1016/j.future.2017.08.058openalex-snapshot
MDP-IoT: MDP based interest forwarding for heterogeneous traffic in IoT-NDN environment
inferredcites →https://doi.org/10.1016/j.future.2018.02.014openalex-snapshot
User mobility aware task assignment for Mobile Edge Computing
inferredcites →https://doi.org/10.1016/j.future.2018.05.013openalex-snapshot
A resilient and distributed near real-time traffic forecasting application for Fog computing environments
inferredcites →https://doi.org/10.1016/j.future.2019.05.055openalex-snapshot
Unsupervised multi-view non-negative for law data feature learning with dual graph-regularization in smart Internet of Things
inferredcites →https://doi.org/10.1016/j.future.2019.09.060openalex-snapshot
Saving time and cost on the scheduling of fog-based IoT applications using deep reinforcement learning approach
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.jides.2016.10.010openalex-snapshot
QoS-Aware approach to monitor violations of SLAs in the IoT
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.010openalex-snapshot
State-of-the-art, challenges, and open issues in the integration of Internet of things and cloud computing
inferredcites →https://doi.org/10.1016/j.jnca.2017.09.002openalex-snapshot
Survey on fog computing: architecture, key technologies, applications and open issues
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.2018.07.019openalex-snapshot
Online task scheduling for edge computing based on repeated Stackelberg game
inferredcites →https://doi.org/10.1016/j.procs.2013.05.258openalex-snapshot
Cost-based Multi-QoS Job Scheduling Using Divisible Load Theory in Cloud Computing
inferredcites →https://doi.org/10.1016/j.procs.2015.07.385openalex-snapshot
Enhanced Load Balanced Min-min Algorithm for Static Meta Task Scheduling in Cloud Computing
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/10.1049/iet-net.2015.0034openalex-snapshot
Theoretical modelling of fog computing: a green computing paradigm to support IoT applications
inferredcites →https://doi.org/10.1080/17517575.2017.1304579openalex-snapshot
Fog computing job scheduling optimization based on bees swarm
inferredcites →https://doi.org/10.1109/3pgcic.2015.85openalex-snapshot
Towards Virtual Machine Migration in Fog Computing
inferredcites →https://doi.org/10.1109/access.2017.2685434openalex-snapshot
A Survey on Mobile Edge Networks: Convergence of Computing, Caching and Communications
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.2018.2866491openalex-snapshot
Fog Computing: Survey of Trends, Architectures, Requirements, and Research Directions
inferredcites →https://doi.org/10.1109/apnoms.2016.7737202openalex-snapshot
Dynamic module deployment in a fog computing platform
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/cc.2016.7445510openalex-snapshot
Fog computing dynamic load balancing mechanism based on graph repartitioning
inferredcites →https://doi.org/10.1109/cicn.2016.139openalex-snapshot
A Genetic Based Improved Load Balanced Min-Min Task Scheduling Algorithm for Load Balancing in Cloud Computing
inferredcites →https://doi.org/10.1109/collaboratecom10536.2005openalex-snapshot
2005 International Conference on Collaborative Computing: Networking, Applications and Worksharing
inferredcites →https://doi.org/10.1109/comst.2017.2771153openalex-snapshot
A Comprehensive Survey on Fog Computing: State-of-the-Art and Research Challenges
inferredcites →https://doi.org/10.1109/ficloud.2014.14openalex-snapshot
On the Integration of Cloud Computing and Internet of Things
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/icfec.2017.20openalex-snapshot
Demystifying Fog Computing: Characterizing Architectures, Applications and Abstractions
inferredcites →https://doi.org/10.1109/icitech.2017.8080065openalex-snapshot
Cloud scalable multi-objective task scheduling algorithm for cloud computing using cat swarm optimization and simulated annealing
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/icton.2017.8024764openalex-snapshot
A cost model for green fog computing and networking
inferredcites →https://doi.org/10.1109/infcomw.2014.6849261openalex-snapshot
Online multi-resource scheduling for minimum task completion time in cloud servers
inferredcites →https://doi.org/10.1109/iscc.2015.7405527openalex-snapshot
On QoS-aware scheduling of data stream applications over fog computing infrastructures
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.2016.2565516openalex-snapshot
Optimal Workload Allocation in Fog-Cloud Computing Towards Balanced Delay and Power Consumption
inferredcites →https://doi.org/10.1109/jiot.2018.2808280openalex-snapshot
FEMOS: Fog-Enabled Multitier Operations Scheduling in Dynamic Wireless Networks
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/mc.2016.245openalex-snapshot
Fog Computing: Helping the Internet of Things Realize Its Potential
inferredcites →https://doi.org/10.1109/mcc.2017.27openalex-snapshot
Mobility-Aware Application Scheduling in Fog Computing
inferredcites →https://doi.org/10.1109/mcom.2015.7120041openalex-snapshot
On the computation offloading at ad hoc cloudlet: architecture and service modes
inferredcites →https://doi.org/10.1109/mwc.2015.7368833openalex-snapshot
Integration challenges of intelligent transportation systems with connected vehicle, cloud computing, and internet of things technologies
inferredcites →https://doi.org/10.1109/nbis15970.2009openalex-snapshot
2009 International Conference on Network-Based Information Systems
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/tc.2016.2536019openalex-snapshot
Joint Optimization of Task Scheduling and Image Placement in Fog Computing Supported Software-Defined Embedded System
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/tmc.2015.2405539openalex-snapshot
Offloading in Mobile Cloudlet Systems with Intermittent Connectivity
inferredcites →https://doi.org/10.1109/tnnls.2018.2851979openalex-snapshot
ICFS Clustering With Multiple Representatives for Large Data
inferredcites →https://doi.org/10.1109/tnsm.2018.2790081openalex-snapshot
Cost-Efficient NFV-Enabled Mobile Edge-Cloud for Low Latency Mobile 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.2018.2827070openalex-snapshot
Migration Modeling and Learning Algorithms for Containers in Fog Computing
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/wetice.2017.58openalex-snapshot
Revising Max-Min for Scheduling in a Cloud Computing Context
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/10.1145/3241055openalex-snapshot
Deep Semantic Mapping for Heterogeneous Multimedia Transfer Learning Using Co-Occurrence Data
inferredcites →https://doi.org/10.1145/3301443openalex-snapshot
Fog Computing for the Internet of Things
inferredcites →https://doi.org/10.1155/2018/2734219openalex-snapshot
Immune Scheduling Network Based Method for Task Scheduling in Decentralized Fog Computing
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A Task Scheduling Based on Simulated Annealing Algorithm in Cloud Computing
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Clustering based Max-Min Scheduling in Cloud Environment
inferredcites →https://doi.org/10.17485/ijst/2015/v8i15/71373openalex-snapshot
Memory Constrained Load Shared Minimum Execution Time Grid Task Scheduling Algorithm in a Heterogeneous Environment
inferredcites →https://doi.org/10.23919/fruct.2017.8250177openalex-snapshot
A hyper heuristic algorithm for scheduling of fog networks
inferredcites →https://doi.org/10.23919/fruct.2017.8250193openalex-snapshot
Scheduling of fog networks with optimized knapsack by symbiotic organisms search
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/s19010010openalex-snapshot
On the Use of Rotary-Wing Aircraft to Sample Near-Surface Thermodynamic Fields: Results from Recent Field Campaigns
inferredcites →https://doi.org/10.3390/s19010021openalex-snapshot
An Internet-of-Things (IoT) Network System for Connected Safety and Health Monitoring Applications
inferredcites →https://doi.org/10.3390/s19010050openalex-snapshot
Numerical Simulation and Experimental Study of a Simplified Force-Displacement Relationship in Superelastic SMA Helical Springs
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/s19092122openalex-snapshot
Methods of Resource Scheduling Based on Optimized Fuzzy Clustering in Fog Computing
inferredcites →https://doi.org/10.3390/s19235083openalex-snapshot
Intelligent Sensor-Cloud in Fog Computer: A Novel Hierarchical Data Job Scheduling Strategy
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A Novel Cost-Efficient Framework for Critical Heartbeat Task Scheduling Using the Internet of Medical Things in a Fog Cloud System
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A Review of Quality of Service in Fog Computing for the Internet of Things
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Smarter Round Robin Scheduling Algorithm for Cloud Computing and Big Data
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Performance Evaluation of Min-Min and Max-Min Algorithms for Job Scheduling in Federated Cloud
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Improving MapReduce performance in heterogeneous environments
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Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment
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Computer networks and Internets
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The NIST definition of cloud computing
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
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An Intelligent Scheduling Strategy in Fog Computing System Based on Multi-Objective Deep Reinforcement Learning Algorithm
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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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Service Caching in Multi-Tier Fog Radio Access Networks
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Challenges and Opportunities in Fog Computing Scheduling: A Literature Review
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Improved Efficiency Of Fog And Cloud Computing Paradigms
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Research Challenges in Job Scheduling and Resource Distribution Methodology for Cloud Fog Atmosphere: An Organized Analysis
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Game Theory for Distributed Task Scheduling in Mist Computing
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A usage of Client's Resources to Reduce Computing Costs in Web Applications
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An Adaptive and Priority Improved Task Scheduling Model for Fog Computing Environment
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A Low Latency Processing System Architecture Strategy for Edge Service Nodes in Fog Computing
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State-Of- The-Art and Research Challenges in Task Scheduling and Resource Allocation Methods for Cloud-Fog Environment
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Task Offloading Scheduling in Fog Computing Using Hybrid Genetic Algorithm
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Analyzing Resource Allocation Methods in Fog Computing for Task Scehduling: A Study of Heuristic and Meta-Heuristic Approaches
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PaF & MbOTS: Novel Task Scheduling Strategies for Fog Computing Environment
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A Comprehensive Analysis of optimization of task scheduling algorithms for IOT applications in a Combined Environment of Cloud, Fog and Edge
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Harnessing Nature's Wisdom for Resource Optimization and Load Balancing in Edge and Fog Computing
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A Hybrid PSO-RR Approach for Efficient Real Time Task Scheduling in Fog & IoT Environment
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Energy-Aware and Trust-Collaboration Cross-Domain Resource Allocation Algorithm for Edge-Cloud Workflows
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Graph Convolutional Network-based Scheduler for Distributing Computation in the Internet of Robotic Things
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Memoization-based Task Scheduling Algorithm for Smart Healthcare Systems
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Analysis of Fog Node Task Scheduling Methods for Optimization of Resource Allocation
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Distributed Service Placement and Workload Orchestration in a Multi-access Edge Computing Environment
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A Heuristic Task Scheduling Algorithm for Vehicular Fog Computing
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An Extensive Analysis and Survey of Task Scheduling Algorithms In Cloud Fog Computing
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Task Scheduling in Fog computing using hybrid GA and Success rate based PSO (GASPSO)
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A Bilevel Decomposition Approach for Many Homogeneous Computing Tasks Scheduling in Software-Defined Industrial Networks
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Resource Allocation and Task Scheduling in Fog Computing and Internet of Everything Environments: A Taxonomy, Review, and Future Directions
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A Survey on Services Placement Algorithms in Integrated Cloud-Fog / Edge Computing
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An Adaptive Simulated Annealing Algorithm for Optimizing Task Scheduling in Internet of Things
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Mayfly Taylor Optimisation-Based Scheduling Algorithm with Deep Reinforcement Learning for Dynamic Scheduling in Fog-Cloud Computing
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Hybrid load-balancing algorithm for distributed fog computing in internet of things environment
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Analysis of rank-based latency aware fog scheduling using validating internet of things at large scales
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Deadline-aware Task Scheduling for Cloud Computing using Firefly Optimization Algorithm
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Load Balancer using Whale-Earthworm Optimization for Efficient Resource Scheduling in the IoT-Fog-Cloud Framework
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A smart, real-time, secure strategy for allocating and scheduling resources based on fog computing and the multi-objective crow search algorithm
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Security-Aware Resource Allocation in Fog Computing Environments
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A Novel Fuzzy Logic Based Approach for Task Allocation at Virtual Machines in Hierarchical Fog IoT Environment
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Large Language and Generative Foundation Models for Cloud-Enabled Medical Imaging and Internet of Medical Things: A PRISMA Systematic Review of Architectures, Security, and Deployment
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Task Scheduling Symphony: Reinforcement Learning for Fog Computing
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HLSA – A New Hybrid List Scheduling Algorithm for Fog Computing
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Cloud Computing Resource Scheduling Method Based on Optimization Theory
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Priority Detector and Classifier Techniques Based on ML for the IoMT
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An Adaptive Firefly Algorithm for Dependent Task Scheduling in IoT-Fog Computing
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M-E-AWA: A Novel Task Scheduling Approach Based on Weight Vector Adaptive Updating for Fog Computing
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An Improved Laxity based Cost Efficient Task Scheduling Approach for Cloud-Fog Environment
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AGWO: Cost Aware Task Scheduling in Cloud Fog Environment Using Hybrid Metaheuristic Algorithm
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Simulate IoT Towards the Cloud-to-Thing Continuum Paradigm for Task Scheduling Assessments.
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Priority enabled content based forwarding in fog computing via SDN
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A Survey on IoT Task Offloading Decisions in Multi-access Edge Computing: A Decision Content Perspective
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