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A PSO ‐based task scheduling algorithm improved using a load‐balancing technique for the cloud computing environment

https://doi.org/10.1002/cpe.4368
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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/cpe.4044openalex-snapshot
Optimal scheduling workflows in cloud computing environment using Pareto‐based Grey Wolf Optimizer
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/10.1007/3-540-60153-8_38openalex-snapshot
Job characteristics of a production parallel scientific workload on the NASA Ames iPSC/860
inferredcites →https://doi.org/10.1007/978-3-642-16515-3_34openalex-snapshot
A Task Scheduling Algorithm Based on Load Balancing in Cloud Computing
inferredcites →https://doi.org/10.1007/978-3-642-32054-5_133openalex-snapshot
Task Scheduling Policy Based on Ant Colony Optimization in Cloud Computing Environment
inferredcites →https://doi.org/10.1007/978-81-322-2012-1_9openalex-snapshot
A Multi-objective Cat Swarm Optimization Algorithm for Workflow Scheduling in Cloud Computing Environment
inferredcites →https://doi.org/10.1007/s10015-010-0757-zopenalex-snapshot
Particle swarm optimization with a modified sigmoid function for gene selection from gene expression data
inferredcites →https://doi.org/10.1007/s10115-017-1044-2openalex-snapshot
A review of task scheduling based on meta-heuristics approach in cloud computing
inferredcites →https://doi.org/10.1007/s10766-013-0275-4openalex-snapshot
Task-Based System Load Balancing in Cloud Computing Using Particle Swarm Optimization
inferredcites →https://doi.org/10.1007/s10905-010-9229-5openalex-snapshot
Modeling the Adaptive Role of Negative Signaling in Honey Bee Intraspecific Competition
inferredcites →https://doi.org/10.1007/s10922-014-9303-yopenalex-snapshot
On the Use of Resource Reservation for Web Services Load Balancing
inferredcites →https://doi.org/10.1016/j.amc.2007.09.070openalex-snapshot
An effective ant colony optimization algorithm (ACO) for multi-objective resource allocation problem (MORAP)
inferredcites →https://doi.org/10.1016/j.asoc.2013.01.025openalex-snapshot
Honey bee behavior inspired load balancing of tasks in cloud computing environments
inferredcites →https://doi.org/10.1016/j.cie.2013.06.004openalex-snapshot
Near optimal process plan selection for multiple jobs in networked based manufacturing using multi-objective evolutionary algorithms
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.jss.2015.06.001openalex-snapshot
A small world based overlay network for improving dynamic load-balancing
inferredcites →https://doi.org/10.1016/j.peva.2011.07.015openalex-snapshot
Join-Idle-Queue: A novel load balancing algorithm for dynamically scalable web services
inferredcites →https://doi.org/10.1109/access.2015.2508940openalex-snapshot
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1109/aina.2010.31openalex-snapshot
A Particle Swarm Optimization-Based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments
inferredcites →https://doi.org/10.1109/ccgrid.2014.83openalex-snapshot
A Survey on Workflow Management and Scheduling in Cloud Computing
inferredcites →https://doi.org/10.1109/cis.2010.46openalex-snapshot
A Revised Discrete Particle Swarm Optimization for Cloud Workflow Scheduling
inferredcites →https://doi.org/10.1109/cloudcom.2011.112openalex-snapshot
Job Aware Scheduling Algorithm for MapReduce Framework
inferredcites →https://doi.org/10.1109/eict.2015.7391916openalex-snapshot
Optimal task scheduling in cloud computing environment: Meta heuristic approaches
inferredcites →https://doi.org/10.1109/iacc.2016.45openalex-snapshot
An Optimized Task Scheduling Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1109/iraniancee.2015.7146288openalex-snapshot
Makespan improvement of PSO-based dynamic scheduling in cloud environment
inferredcites →https://doi.org/10.1109/jcsse.2012.6261985openalex-snapshot
A multiple-objective workflow scheduling framework for cloud data analytics
inferredcites →https://doi.org/10.1109/jsyst.2013.2256731openalex-snapshot
Metaheuristic Scheduling for Cloud: A Survey
inferredcites →https://doi.org/10.1109/mhs.1995.494215openalex-snapshot
A new optimizer using particle swarm theory
inferredcites →https://doi.org/10.1109/ncca.2012.29openalex-snapshot
A Survey of Load Balancing in Cloud Computing: Challenges and Algorithms
inferredcites →https://doi.org/10.1109/wicom.2009.5301850openalex-snapshot
Independent Tasks Scheduling Based on Genetic Algorithm in Cloud Computing
inferredcites →https://doi.org/10.1145/2023607.2023640openalex-snapshot
Comparison of Firefly algorithm optimisation, particle swarm optimisation and differential evolution
inferredcites →https://doi.org/10.1155/2013/350934openalex-snapshot
Multi‐Objective Approach for Energy‐Aware Workflow Scheduling in Cloud Computing Environments
inferredcites →https://doi.org/10.4156/jdcta.vol3.issue4.10openalex-snapshot
RASA: A New Grid Task Scheduling Algorithm
inferredcites →https://doi.org/10.4304/jnw.7.3.547-553openalex-snapshot
Task Scheduling Optimization in Cloud Computing Based on Heuristic Algorithm
inferredcites →https://doi.org/10.5019/j.ijcir.2008.123openalex-snapshot
A Task Scheduling Algorithm Based on PSO for Grid Computing
inferredcites →https://doi.org/10.5120/2403-3197openalex-snapshot
Load Balanced MinMin Algorithm for Static MetaTask Scheduling in Grid Computing
inferredcites →https://doi.org/10.5120/7823-1009openalex-snapshot
Improved Max-Min Algorithm in Cloud Computing

What points at this work

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

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Cloud computing and big data: Technologies and applications
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Task scheduling based on deep reinforcement learning in a cloud manufacturing environment
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Workflow scheduling using particle swarm optimization and gray wolf optimization algorithm in cloud computing
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Metaheuristic task scheduling algorithms for cloud computing environments
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Enhanced Task Scheduling With Metaheuristics for Delay and Energy Optimization in Cloud‐Fog Computing
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Load Balancing Algorithm in Cloud Computing Using Mutation Based PSO Algorithm
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An Efficient Task Scheduling Using GWO-PSO Algorithm in a Cloud Computing Environment
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A Dynamic Load Scheduling Using Binary Self-adaptive JAYA (BSAJAYA) Algorithm in Cloud-Based Computing
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A Novel Modified PSO Algorithm with Inertia Weight Parameter
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Optimal load balancing in cloud computing using hybrid meta-heuristic algorithms
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Projects Distribution Algorithms for Regional Development
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A binary Bird Swarm Optimization based load balancing algorithm for cloud computing environment
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Optimizing Task Scheduling in Cloud Computing Using Discrete Tuna Swarm Optimization
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An efficient scientific workflow scheduling on multi-cloud environment using adaptive golden eagle optimization
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Hybrid HEFT–WOA Scheduling for Scalable DAG Workflows in Heterogeneous Cloud Data Centers
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Comparative Study of Hybrid GAPSO for Parametric Optimization of the Liquid Flow Model
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HTSCC A Hybrid Task Scheduling Algorithm in Cloud Computing Environment
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Research on Computational Load Balancing for Massively Parallel Tasks Based on Adaptive Iterative Algorithm
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Research on Sparrow Search Optimization Algorithm for multi-objective task scheduling in cloud computing environment
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Tasks Scheduling in Cloud Environment Using PSO-BATS with MLRHE
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Systematic Review: Load Balancing in Cloud Computing by Using Metaheuristic Based Dynamic Algorithms
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Balancer Genetic Algorithm—A Novel Task Scheduling Optimization Approach in Cloud Computing
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Hybrid Nearest-Neighbor Ant Colony Optimization Algorithm for Enhancing Load Balancing Task Management
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GWO-Based Simulated Annealing Approach for Load Balancing in Cloud for Hosting Container as a Service
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A Survey of Swarm Intelligence Based Load Balancing Techniques in Cloud Computing Environment
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Optimizing Cloud Service Composition with Cuckoo Optimization Algorithm for Enhanced Resource Allocation and Energy Efficiency
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Dynamic Load Balancing Techniques in the IoT: A Review
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A Genetic Algorithm-Based Virtual Machine Allocation Policy for Load Balancing Using Actual Asymmetric Workload Traces
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Improvement in Task Scheduling Capabilities for SaaS Cloud Deployments Using Intelligent Schedulers
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Load Balancing Approaches in Cloud and Fog Computing Environments
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Binary Self-Adaptive Salp Swarm Optimization-Based Dynamic Load Balancing in Cloud Computing
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An Empirical Study of Soft Computing Approaches in Wireless Sensor Networks
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Optimizing Task Scheduling in Cloud Computing: A Comparative Analysis of Min-Min, Max-Min, AIGA, and ELOA
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INTELLIGENT RESOURCE ALLOCATION MODEL IN HEALTHCARE: A SOLUTION FOR DISTRIBUTED SYSTEMS IN PEDIATRIC PATIENTS’ REFERRAL. A STRUCTURED REVIEW
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Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
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Innovative Analysis of Workload Balancing Algorithms for Fog-Cloud Networks: A Contemporary Perspective
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Improving the Load Balancing and Dynamic Placement of Virtual Machines in Cloud Computing using Particle Swarm Optimization Algorithm
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A review of swarm intelligence algorithms deployment for scheduling and optimization in cloud computing environments
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.