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Research Topics for Soft Computing Techniques in Cloud Computing
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Related Papers
Benchmarking the contention aware nature inspired metaheuristic task scheduling algorithms-[2020]
A Multi-objective Optimal Task Scheduling in Cloud Environment Using Cuckoo Particle Swarm Optimization-[2019]
A novel task scheduling scheme in a cloud computing environment using hybrid biogeography-based optimization-[2019]
Hybrid task scheduling strategy for cloud computing by modified particle swarm optimization and fuzzy theory-[2019]
Modified Ant Colony Optimization Algorithm for Task Scheduling in Cloud Computing Systems-[2019]
Task scheduling in a cloud computing environment using HGPSO algorithm-[2019]
Task scheduling in cloud computing based on hybrid moth search algorithm and differential evolution-[2019]
W-Scheduler: whale optimization for task scheduling in cloud computing-[2019]
Workflow scheduling using Jaya algorithm in cloud-[2019]
A PSO-based task scheduling algorithm improved using a load-balancing technique for the cloud computing environment-[2018]
A genetic algorithm-based task scheduling for cloud resource crowd-funding model-[2018]
A hybrid multi-objective Particle Swarm Optimization for scientific workflow scheduling-[2018]
A modified PSO algorithm for task scheduling optimization in cloud computing-[2018]
An Intelligent-Cognitive Model of Task Scheduling for IoT Applications in Cloud Computing Environment-[2018]
Dynamic energy-aware scheduling for parallel task-based application in cloud computing-[2018]
GA-ETI: An Enhanced Genetic Algorithm for the Scheduling of Scientific Workflows in Cloud Environments-[2018]
IPSO Task Scheduling Algorithm for Large Scale Data in Cloud Computing Environment-[2018]
Makespan Efficient Task Scheduling in Cloud Computing-[2018]
Maximizing availability for task scheduling in on-demand computing-based transaction processing system using ant colony optimization-[2018]
PSO-COGENT: Cost and Energy Efficient scheduling in Cloud environment with deadline constraint-[2018]
Spatial Task Scheduling for Cost Minimization in Distributed Green Cloud Data Centers-[2018]
Workflow Scheduling Using Hybrid GA-PSO Algorithm in Cloud Computing-[2018]
A Survey of PSO-Based Scheduling Algorithms in Cloud Computing-[2017]
A hybrid evolutionary algorithm for task scheduling and data assignment of data-intensive scientific workflows on clouds-[2017]
A review of task scheduling based on meta-heuristics approach in cloud computing-[2017]
A slave ants based ant colony optimization algorithm for task scheduling in cloud computing environments-[2017]
An enhanced genetic algorithm with new operators for task scheduling in heterogeneous computing systems-[2017]
An improved genetic algorithm for task scheduling in the cloud environments using the priority queues: formal verification, simulation, and statistical testing-[2017]
Budget-constraint stochastic task scheduling on heterogeneous cloud systems-[2017]
Deadline-constrained Cost Optimization Approaches for Workflow Scheduling in Clouds-[2017]
Dynamic Resource Prediction and Allocation for Cloud Data Center Using the Multiobjective Genetic Algorithm-[2017]
Effective Allocation of Resources and Task Scheduling in Cloud Environment using Social Group Optimization-[2017]
Greedy-Ant: Ant Colony System-Inspired Workflow Scheduling for Heterogeneous Computing-[2017]
Hybrid Task Scheduling Method for Cloud Computing by Genetic and DE Algorithms-[2017]
Optimal and suboptimal resource allocation techniques in cloud computing data centers-[2017]
Resource provisioning and work flow scheduling in clouds using augmented Shuffled Frog Leaping Algorithm-[2017]
AMTS: Adaptive Multi-Objective Task Scheduling Strategy in Cloud Computing-[2016]
Cost Effective Genetic Algorithm for Workflow Scheduling in Cloud Under Deadline Constraint-[2016]
Statistical Model Checking-Based Evaluation and Optimization for Cloud Workflow Resource Allocation-[2016]
A Multi-Objective Optimization Scheduling Method Based on the Ant Colony Algorithm in Cloud Computing-[2015]
A review of metaheuristic scheduling techniques in cloud computing-[2015]
Cost-aware challenges for workflow scheduling approaches in cloud computing environments: taxonomy and opportunities-[2015]
Evolutionary Multi-Objective Workflow Scheduling in Cloud-[2015]
Multi objective Task Scheduling in Cloud Environment Using Nested PSO Framework-[2015]
Multi-Objective Tasks Scheduling Algorithm for Cloud Computing Throughput Optimization-[2015]
Deadline based Resource Provisioning and Scheduling Algorithm for Scientific Workflows on Clouds-[2014]
HSGA: a hybrid heuristic algorithm for workflow scheduling in cloud systems-[2013]
Metaheuristic Scheduling for Cloud: A Survey-[2013]
A Particle Swarm Optimization-based Heuristic for Scheduling Workflow Applications in Cloud Computing Environments-[2010]
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