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Metaheuristic task scheduling algorithms for cloud computing environments

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What this work says

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

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Toward a modular and efficient distribution for Web service handlers
inferredcites →https://doi.org/10.1002/cpe.4368openalex-snapshot
A PSO ‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment
inferredcites →https://doi.org/10.1002/cpe.4694openalex-snapshot
Hybrid cloud computing monitoring software architecture
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Stochastic gradient descent‐based support vector machines training optimization on Big Data and HPC frameworks
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Grids for Real Time Data Applications
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A review of task scheduling based on meta-heuristics approach in cloud computing
inferredcites →https://doi.org/10.1007/s11277-017-4839-2openalex-snapshot
Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms
inferredcites →https://doi.org/10.1016/0004-3702(96)00007-0openalex-snapshot
Artificial intelligence: A modern approach
inferredcites →https://doi.org/10.1016/j.advengsoft.2003.12.001openalex-snapshot
A combined heuristic optimization technique
inferredcites →https://doi.org/10.1016/j.cosrev.2018.08.002openalex-snapshot
Scheduling in distributed systems: A cloud computing perspective
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.ejor.2004.08.043openalex-snapshot
Scheduling flow shops using differential evolution algorithm
inferredcites →https://doi.org/10.1016/j.eswa.2016.06.005openalex-snapshot
A multiobjective weighted voting ensemble classifier based on differential evolution algorithm for text sentiment classification
inferredcites →https://doi.org/10.1063/1.4981634openalex-snapshot
Cloud computing task scheduling strategy based on improved differential evolution algorithm
inferredcites →https://doi.org/10.1063/1.5039103openalex-snapshot
Cloud computing task scheduling strategy based on differential evolution and ant colony optimization
inferredcites →https://doi.org/10.1109/71.954620openalex-snapshot
Observations on using genetic algorithms for dynamic load-balancing
inferredcites →https://doi.org/10.1109/acct.2014.32openalex-snapshot
Scheduling in Grid Computing Environment
inferredcites →https://doi.org/10.1109/aeeicb.2016.7538374openalex-snapshot
A survey on different scheduling algorithms in cloud computing
inferredcites →https://doi.org/10.1109/cloud.2018.00055openalex-snapshot
Twister:Net - Communication Library for Big Data Processing in HPC and Cloud Environments
inferredcites →https://doi.org/10.1109/icabcd.2019.8851045openalex-snapshot
Task Scheduling in Cloud Computing: A Review
inferredcites →https://doi.org/10.1109/iciss.2010.5655013openalex-snapshot
Genetic simulated annealing algorithm for task scheduling based on cloud computing environment
inferredcites →https://doi.org/10.1109/iciw.2008.55openalex-snapshot
An Orchestration for Distributed Web Service Handlers
inferredcites →https://doi.org/10.1109/iri.2007.4296598openalex-snapshot
SRG: A Digital Document-Enhanced Service Oriented Research Grid
inferredcites →https://doi.org/10.1109/lcomm.2011.022411.101804openalex-snapshot
An Elitism Strategy Based Genetic Algorithm for Streaming Pattern Discovery in Wireless Sensor Networks
inferredcites →https://doi.org/10.1109/siu.2015.7130446openalex-snapshot
Comparison of cluster, Grid and Cloud Computing using three different approaches
inferredcites →https://doi.org/10.1109/tcc.2014.2315797openalex-snapshot
A Hyper-Heuristic Scheduling Algorithm for Cloud
inferredcites →https://doi.org/10.1109/tevc.2003.814633openalex-snapshot
Elitism-based compact genetic algorithms
inferredcites →https://doi.org/10.1162/evco.1996.4.2.113openalex-snapshot
Genetic Algorithms, Selection Schemes, and the Varying Effects of Noise
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Hadoop Optimization for Massive Image Processing: Case Study Face Detection
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Genetic algorithms in search, optimization, and machine learning

What points at this work

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

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Special issue on High Performance Computing Conference ( BASARIM ‐2020)
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A chaos opposition‐based dwarf mongoose approach for workflow scheduling in cloud
inferred← citeshttps://doi.org/10.1002/ett.4902openalex-snapshot
Adaptive Guided Differential Evolution‐based Slime Mould Algorithm‐based efficient Multi‐objective Task Scheduling for Cloud Computing Environments
inferred← citeshttps://doi.org/10.1007/978-3-031-61471-2_8openalex-snapshot
Optimizing Cloud Task Scheduling Through Innovative Metaheuristic Algorithm and Impulsive Fuzzy C-Means
inferred← citeshttps://doi.org/10.1007/978-3-032-28594-2_42openalex-snapshot
GMM–EM Guided Hybrid DGH–BWO Optimization for Multi-Objective Task Scheduling in Cloud Environments
inferred← citeshttps://doi.org/10.1007/978-981-99-1428-9_127openalex-snapshot
Regional Sharing Model of Information Education Resources in Rural Schools Based on Cloud Computing
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A new hybrid multi-objective optimization algorithm for task scheduling in cloud systems
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QoS and reliability aware matched bald eagle task scheduling framework based on IoT-cloud in educational applications
inferred← citeshttps://doi.org/10.1007/s11042-023-14739-wopenalex-snapshot
PPTS-PSO: a new hybrid scheduling algorithm for scientific workflow in cloud environment
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/s11227-025-07206-wopenalex-snapshot
Dynamic scheduling of independent tasks in cloud computing environment applying improved chicken swarm optimization and differential evolution
inferred← citeshttps://doi.org/10.1007/s11227-026-08563-wopenalex-snapshot
Energy-efficient task scheduling in heterogeneous cloud computing using discrete Coati Optimization Algorithm
inferred← citeshttps://doi.org/10.1007/s11334-022-00508-9openalex-snapshot
A novel hybrid multi-resource load balancing approach using ant colony optimization with Tabu search for cloud computing
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A survey on meta-heuristic-based workflow scheduling algorithms running in the cloud computing platforms
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An improved beluga whale optimization using ring topology for solving multi-objective task scheduling in cloud
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A predictive energy-aware scheduling strategy for scientific workflows in fog computing
inferred← citeshttps://doi.org/10.1080/01969722.2023.2166247openalex-snapshot
An Energy-Aware Agent-Based Resource Allocation Using Targeted Load Balancer for Improving Quality of Service in Cloud Environment
inferred← citeshttps://doi.org/10.1080/23311916.2023.2287303openalex-snapshot
Toward optimizing scientific workflow using multi-objective optimization in a cloud environment
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Hunger Games Search: A Scheduler for Cloud Computing
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A Comprehensive Study of Energy Efficiency in Cloud Computing Using Optimization Algorithms
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Hybrid Metaheuristic-Based Cloud Task Scheduling Using Genetic Algorithm and Salp Swarm Algorithm
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Critical Review of Cloud Schedulers in Homogeneous and Heterogeneous Environments: Taxonomy, Challenges, and Future Directions
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Spider Monkey Optimization based Resource Provisioning in Cloud Computing Environment
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Auxiliary Model-Based Chameleon Swarm Optimization for Robust Parameter Estimation of Fractional Order Nonlinear Hammerstein Systems
inferred← citeshttps://doi.org/10.1155/2023/4350615openalex-snapshot
Multiobjective Prioritized Workflow Scheduling in Cloud Computing Using Cuckoo Search Algorithm
inferred← citeshttps://doi.org/10.1515/jisys-2024-0441openalex-snapshot
Resource allocation strategies and task scheduling algorithms for cloud computing: A systematic literature review
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DNA dizileri için sezgisel yöntemlere dayalı çoklu dizi hizalama yaklaşımlarının karşılaştırılması
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Parallel Hybrid Metaheuristic and Branch-and-Bound Scheduler
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inferred← citeshttps://doi.org/10.32604/cmc.2024.058115openalex-snapshot
A Multi-Objective Clustered Input Oriented Salp Swarm Algorithm in Cloud Computing
inferred← citeshttps://doi.org/10.32604/iasc.2024.050681openalex-snapshot
Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms
inferred← citeshttps://doi.org/10.3390/electronics12163450openalex-snapshot
An Efficient Combination of Genetic Algorithm and Particle Swarm Optimization for Scheduling Data-Intensive Tasks in Heterogeneous Cloud Computing
inferred← citeshttps://doi.org/10.3390/fi18080441openalex-snapshot
Hierarchical Scheduler with Adaptive Time-Budget Reallocation for Time-Triggered Edge-Fog-Cloud Architectures
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LSMOF-AD: Three-Stage Optimization Approach with Adaptive Differential for Large-Scale Container Scheduling
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МОДЕЛІ УПРАВЛІННЯ РЕСУРАМИ ДЛЯ ЗАБЕЗПЕЧЕННЯ ФУНКЦІОНАЛЬНОЇ СТІЙКОСТІ ПРОЦЕСУ РОЗПОДІЛЕНИХ ОБЧИСЛЕНЬ
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