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A Novel Bio-Inspired Hybrid Algorithm (NBIHA) for Efficient Resource Management in Fog Computing

https://doi.org/10.1109/access.2019.2924958
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What this work says

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

inferredcites →https://doi.org/10.1002/9781119525080.ch17openalex-snapshot
Modeling and Simulation of Fog and Edge Computing Environments Using iFogSim Toolkit
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/10.1007/978-3-540-36668-3_94openalex-snapshot
Cat Swarm Optimization
inferredcites →https://doi.org/10.1007/978-94-017-8798-7_40openalex-snapshot
Modified Cat Swarm Optimization Algorithm for Feature Selection of Support Vector Machines
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/10.1016/j.eij.2015.07.001openalex-snapshot
A review of metaheuristic scheduling techniques in cloud computing
inferredcites →https://doi.org/10.1016/j.future.2015.10.004openalex-snapshot
Offloading mobile data traffic for QoS-aware service provision in vehicular cyber-physical systems
inferredcites →https://doi.org/10.1016/j.future.2018.09.014openalex-snapshot
Task scheduling techniques in cloud computing: A literature survey
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.knosys.2016.10.016openalex-snapshot
A belief propagation-based method for task allocation in open and dynamic cloud environments
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/cc.2016.7445510openalex-snapshot
Fog computing dynamic load balancing mechanism based on graph repartitioning
inferredcites →https://doi.org/10.1109/ccdc.2017.7978374openalex-snapshot
A modified particle swarm optimization algorithm — CPSODE
inferredcites →https://doi.org/10.1109/comst.2018.2814571openalex-snapshot
Survey of Fog Computing: Fundamental, Network Applications, and Research Challenges
inferredcites →https://doi.org/10.1109/icec.1998.699146openalex-snapshot
A modified particle swarm optimizer
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/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/socpar.2009.23openalex-snapshot
Cat Swarm Optimization for Clustering
inferredcites →https://doi.org/10.1109/tcc.2015.2485206openalex-snapshot
Assessment of the Suitability of Fog Computing in the Context of Internet of Things
inferredcites →https://doi.org/10.1109/tetc.2015.2508382openalex-snapshot
Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System
inferredcites →https://doi.org/10.1109/tsc.2017.2679738openalex-snapshot
A Hybrid Bio-Inspired Algorithm for Scheduling and Resource Management in Cloud Environment
inferredcites →https://doi.org/10.1109/vtcspring.2015.7146129openalex-snapshot
The Fog Balancing: Load Distribution for Small Cell Cloud Computing
inferredcites →https://doi.org/10.1145/2488222.2488265openalex-snapshot
MigCEP
inferredcites →https://doi.org/10.1145/2645892.2645901openalex-snapshot
ParaDrop
inferredcites →https://doi.org/10.1145/2757384.2757397openalex-snapshot
A Survey of Fog Computing
inferredcites →https://doi.org/10.1145/3287921.3287984openalex-snapshot
An Evolutionary Algorithm for Solving Task Scheduling Problem in Cloud-Fog Computing Environment
inferredcites →https://doi.org/10.1145/3301443openalex-snapshot
Fog Computing for the Internet of Things
inferredcites →https://doi.org/10.1155/2019/6215454openalex-snapshot
Task Placement on Fog Computing Made Efficient for IoT Application Provision
inferredcites →https://doi.org/10.1186/s13638-019-1394-4openalex-snapshot
Energy efficient edge-of-things
inferredcites →https://doi.org/10.1186/s13638-019-1395-3openalex-snapshot
Utilization and load balancing in fog servers for health applications
inferredcites →https://doi.org/10.12676/j.cc.2019.03.004openalex-snapshot
Energy-efficient computation offloading and resource allocation in fog computing for Internet of Everything
inferredcites →https://doi.org/10.3390/fi11030055openalex-snapshot
Simulating Fog and Edge Computing Scenarios: An Overview and Research Challenges
inferredcites →https://doi.org/10.3390/s19061267openalex-snapshot
Improving Quality-of-Service in Cloud/Fog Computing through Efficient Resource Allocation
inferredcites →https://doi.org/10.3390/s19092071openalex-snapshot
A Novel Internet of Things-Enabled Accident Detection and Reporting System for Smart City Environments
inferredcites →https://doi.org/10.5815/ijieeb.2016.01.06openalex-snapshot
An Efficient Architecture and Algorithm for Resource Provisioning in Fog Computing
inferredcites →https://doi.org/10.5815/ijitcs.2016.04.01openalex-snapshot
Real Time Efficient Scheduling Algorithm for Load Balancing in Fog Computing Environment

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

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A systematic review of task scheduling approaches in fog computing
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Framework for Efficient Task Scheduling and Resource Allocation in Fog-Computing Network: Alliance Formation Using Game Theory Approach
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Boosting Performance of Storage Devices
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A Comparative Analysis of Fog Computing’s Problems, Challenges and Future Directions
inferred← citeshttps://doi.org/10.1007/978-981-97-2644-8_4openalex-snapshot
Resource Scheduling in Integrated IoT and Fog Computing Environments: A Taxonomy, Survey and Future Directions
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Toward Service Offloading in Cloud-Fog Ecosystem Using Hybrid Approach of Transfer and Deep Reinforcement Learning
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RAPTS: resource aware prioritized task scheduling technique in heterogeneous fog computing environment
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Multi-strategy fusion snake optimizer on task offloading and scheduling for IoT-based fog computing multi-tasks learning
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Hybrid Simulated Annealing and Spotted Hyena Optimization Algorithm-Based Resource Management and Scheduling in Cloud Environment
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FAT-ETO: Fuzzy-AHP-TOPSIS-Based Efficient Task Offloading Algorithm for Scientific Workflows in Heterogeneous Fog–Cloud Environment
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Multiobjective Harris Hawks Optimization-Based Task Scheduling in Cloud-Fog Computing
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Directed Search: A New Operator in NSGA-II for Task Scheduling in IoT Based on Cloud-Fog Computing
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A Distributed Load Balancing Technique for Multitenant Edge Servers With Bottleneck Resources
inferred← citeshttps://doi.org/10.1109/tsusc.2024.3456429openalex-snapshot
Workload Pattern Learning-Based Cloud Resource Management Models: Concepts and Meta-Analysis
inferred← citeshttps://doi.org/10.1109/tvt.2023.3242585openalex-snapshot
An Efficient Machine Learning-Based Resource Allocation Scheme for SDN-Enabled Fog Computing Environment
inferred← citeshttps://doi.org/10.1109/worldsuas66815.2025.11198948openalex-snapshot
Cost-Efficient Resource Allocation in Hybrid Cloud Environments Using Grey Wolf Optimizer and Ant Colony Algorithms
inferred← citeshttps://doi.org/10.1142/s0218126621502820openalex-snapshot
Composite Heuristics for Scheduling Tasks in Mobile Edge Computing by Considering Security
inferred← citeshttps://doi.org/10.1142/s0219198924500221openalex-snapshot
Collaborative Model for Task Scheduling and Resource Allocation in Fog–Cloud Network Using Game Theory
inferred← citeshttps://doi.org/10.1145/3390557.3394321openalex-snapshot
A Hyper-Heuristic Resource Allocation Algorithm for Fog Computing
inferred← citeshttps://doi.org/10.1145/3494520openalex-snapshot
Towards Metaheuristic Scheduling Techniques in Cloud and Fog: An Extensive Taxonomic Review
inferred← citeshttps://doi.org/10.1145/3571729openalex-snapshot
Resource Management in Cloud and Cloud-influenced Technologies for Internet of Things Applications
inferred← citeshttps://doi.org/10.1155/2022/5830760openalex-snapshot
A Heuristic Task Scheduling Strategy for Intelligent Manufacturing in the Big Data-Driven Fog Computing Environment
inferred← citeshttps://doi.org/10.11591/ijeecs.v27.i1.pp466-477openalex-snapshot
Cost-effective resource and task scheduling in fog nodes
inferred← citeshttps://doi.org/10.1186/s13677-022-00376-5openalex-snapshot
Improved Jellyfish Algorithm-based multi-aspect task scheduling model for IoT tasks over fog integrated cloud environment
inferred← citeshttps://doi.org/10.1371/journal.pone.0224934openalex-snapshot
An analytical model to minimize the latency in healthcare internet-of-things in fog computing environment
inferred← citeshttps://doi.org/10.14569/ijacsa.2022.0130520openalex-snapshot
Effectivity Score of Simulation Tools towards Modelling Design in Internet-of-Things
inferred← citeshttps://doi.org/10.1515/jisys-2024-0543openalex-snapshot
Latency optimization approaches for healthcare Internet of Things and fog computing: A comprehensive review
inferred← citeshttps://doi.org/10.20998/2522-9052.2024.2.08openalex-snapshot
INTEGRATION OF IOT WITH CLOUD, FOG, AND EDGE COMPUTING: A REVIEW
inferred← citeshttps://doi.org/10.2174/2666255816666220819124133openalex-snapshot
Assessment of Various Scheduling and Load Balancing Algorithms in Integrated Cloud-Fog Environment
inferred← citeshttps://doi.org/10.24138/jcomss-2024-0061openalex-snapshot
Dynamic Traffic Engineering for Cooperative Fog-Cloud Environment: Trade-off Analysis of Cost and Utilization Under Different Load Conditions
inferred← citeshttps://doi.org/10.24996/ijs.2024.65.7.37openalex-snapshot
A Survey of Fog Computing-Based Resource Allocation Approaches: Overview, Classification, and Opportunity for Research
inferred← citeshttps://doi.org/10.2991/ijndc.k.210111.001openalex-snapshot
Scheduling Algorithms in Fog Computing: A Survey
inferred← citeshttps://doi.org/10.31577/cai_2023_2_311openalex-snapshot
A Proposed Scheduling Algorithm for IoT Applications in a Merged Environment of Edge, Fog, and Cloud
inferred← citeshttps://doi.org/10.31695/ijasre.2023.9.2.3openalex-snapshot
Hybrid Meta-Heuristics Based Task Scheduling Algorithm for Energy Efficiency in Fog Computing
inferred← citeshttps://doi.org/10.3233/jifs-213520openalex-snapshot
A multi-objective optimization of resource management and minimum batch VM migration for prioritized task allocation in fog-edge-cloud computing
inferred← citeshttps://doi.org/10.3233/jifs-221430openalex-snapshot
Optimized scheduling with prioritization to enhance network sustainability in edge-cloud environment
inferred← citeshttps://doi.org/10.32604/iasc.2023.035389openalex-snapshot
Levy Flight Firefly Based Efficient Resource Allocation for Fog Environment
inferred← citeshttps://doi.org/10.32628/cseit22824openalex-snapshot
Comprehensive Study On EDGE-Cloud Collaborative Computing for Optimal Task Scheduling
inferred← citeshttps://doi.org/10.33166/aetic.2025.03.001openalex-snapshot
Comparative Study of ML-Based Diabetes Detection Using IoT and Lab Data in Fog
inferred← citeshttps://doi.org/10.33889/ijmems.2022.7.5.046openalex-snapshot
A Layer & Request Priority-based Framework for Dynamic Resource Allocation in Cloud- Fog - Edge Hybrid Computing Environment
inferred← citeshttps://doi.org/10.33889/ijmems.2024.9.6.072openalex-snapshot
Enhancing QoS in Delay-Sensitive IoT Applications through Volunteer Computing in Fog Environments
inferred← citeshttps://doi.org/10.3390/app12146933openalex-snapshot
A New Approach to the Allocation of Multidimensional Resources in Production Processes
inferred← citeshttps://doi.org/10.3390/app13052939openalex-snapshot
Two-Stage Optimal Task Scheduling for Smart Home Environment Using Fog Computing Infrastructures
inferred← citeshttps://doi.org/10.3390/biomimetics8040373openalex-snapshot
Bio-Inspired Internet of Things: Current Status, Benefits, Challenges, and Future Directions
inferred← citeshttps://doi.org/10.3390/electronics11193207openalex-snapshot
A Whale Optimization Algorithm Based Resource Allocation Scheme for Cloud-Fog Based IoT Applications
inferred← citeshttps://doi.org/10.3390/electronics12071511openalex-snapshot
Fog Computing Resource-Scheduling Strategy in IoT Based on Artificial Bee Colony Algorithm
inferred← citeshttps://doi.org/10.3390/s21051832openalex-snapshot
Resource Management Techniques for Cloud/Fog and Edge Computing: An Evaluation Framework and Classification
inferred← citeshttps://doi.org/10.3390/s22145327openalex-snapshot
A Novel Low-Latency and Energy-Efficient Task Scheduling Framework for Internet of Medical Things in an Edge Fog Cloud System
inferred← citeshttps://doi.org/10.3390/s23031639openalex-snapshot
At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives
inferred← citeshttps://doi.org/10.3390/sym15122206openalex-snapshot
Fog Computing Task Scheduling of Smart Community Based on Hybrid Ant Lion Optimizer
inferred← citeshttps://doi.org/10.34238/tnu-jst.6194openalex-snapshot
JOB SERVICE DEMAND BASED RESOURCE ALLOCATION POLICY FOR CLOUD-FOG COMPUTING ENVIRONMENTS
inferred← citeshttps://doi.org/10.37418/amsj.9.6.55openalex-snapshot
A BRIEF SURVEY OF ENERGY-EFFICIENT DYNAMIC WORKFLOW SCHEDULING MECHANISM IN FOG COMPUTING ENVIRONMENTS
inferred← citeshttps://doi.org/10.3934/mbe.2021453openalex-snapshot
Game theory and evolutionary optimization approaches applied to resource allocation problems in computing environments: A survey
inferred← citeshttps://doi.org/10.4018/ijcac.297104openalex-snapshot
Efficient Resource Management Using Improved Bio-Inspired Algorithms for the Fog Computing Environment
inferred← citeshttps://doi.org/10.4018/ijcac.324758openalex-snapshot
Performance Evaluation of Hybrid Meta-Heuristics-Based Task Scheduling Algorithm for Energy Efficiency in Fog Computing
inferred← citeshttps://doi.org/10.4108/eetiot.4577openalex-snapshot
Cloud Computing: Optimization using Particle Swarm Optimization to Improve Performance of Cloud
inferred← citeshttps://doi.org/10.48550/arxiv.2007.15221openalex-snapshot
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
inferred← citeshttps://doi.org/10.55463/issn.1674-2974.50.1.7openalex-snapshot
Priority-Based Resource Allocation Scheme for Resources Usage in Mobile Edge Computing Platform
inferred← citeshttps://doi.org/10.55463/issn.1674-2974.51.2.2openalex-snapshot
Mobile Edge Computing in Smart Healthcare: A Comprehensive Review, Challenges and Future Directions
inferred← citeshttps://doi.org/10.61186/jsdp.20.1.25openalex-snapshot
ICTF: Imperialist Competitive Algorithm-based Task Scheduling in Fog Computing
inferred← citeshttps://doi.org/10.9781/ijimai.2020.12.004openalex-snapshot
A Novel Fog Computing Approach for Minimization of Latency in Healthcare using Machine Learning.
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