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Multi‐objective approach of energy efficient workflow scheduling in cloud environments

https://doi.org/10.1002/cpe.4949
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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.4041openalex-snapshot
A taxonomy and survey on scheduling algorithms for scientific workflows in IaaS cloud computing environments
inferredcites →https://doi.org/10.1002/cpe.4210openalex-snapshot
Budget‐constraint stochastic task scheduling on heterogeneous cloud systems
inferredcites →https://doi.org/10.1007/978-3-319-08156-4_5openalex-snapshot
Hybrid Job Scheduling Algorithm for Cloud Computing Environment
inferredcites →https://doi.org/10.1007/978-3-319-56982-6_4openalex-snapshot
Workflow Scheduling Algorithms and Approaches
inferredcites →https://doi.org/10.1007/978-3-319-67459-9_36openalex-snapshot
A Load Balancing Algorithm for Resource Allocation in Cloud Computing
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/s00500-012-0890-9openalex-snapshot
A Pareto-based multi-objective evolutionary algorithm for automatic rule generation in network intrusion detection systems
inferredcites →https://doi.org/10.1007/s10586-014-0420-xopenalex-snapshot
FUGE: A joint meta-heuristic approach to cloud job scheduling algorithm using fuzzy theory and a genetic method
inferredcites →https://doi.org/10.1007/s10586-016-0575-8openalex-snapshot
Ant colony based constrained workflow scheduling for heterogeneous computing systems
inferredcites →https://doi.org/10.1007/s10723-015-9344-9openalex-snapshot
Cost-Time Efficient Scheduling Plan for Executing Workflows in the Cloud
inferredcites →https://doi.org/10.1007/s11227-015-1438-4openalex-snapshot
Workflow scheduling in cloud: a survey
inferredcites →https://doi.org/10.1007/s11227-016-1789-5openalex-snapshot
CCA: a deadline-constrained workflow scheduling algorithm for multicore resources on the cloud
inferredcites →https://doi.org/10.1007/s11771-017-3508-7openalex-snapshot
Multi-objective workflow scheduling in cloud system based on cooperative multi-swarm optimization algorithm
inferredcites →https://doi.org/10.1007/s13369-015-1705-yopenalex-snapshot
Energy-Aware Workflow Scheduling in Grid Under QoS Constraints
inferredcites →https://doi.org/10.1016/j.compeleceng.2015.07.021openalex-snapshot
Resource management in cloud computing: Taxonomy, prospects, and challenges
inferredcites →https://doi.org/10.1016/j.egypro.2017.11.096openalex-snapshot
Energy Efficient Task Scheduling in Cloud Environment
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.2014.10.008openalex-snapshot
Pegasus, a workflow management system for science automation
inferredcites →https://doi.org/10.1016/j.future.2015.07.021openalex-snapshot
Low-time complexity budget–deadline constrained workflow scheduling on heterogeneous resources
inferredcites →https://doi.org/10.1016/j.jnca.2016.01.018openalex-snapshot
Towards workflow scheduling in cloud computing: A comprehensive analysis
inferredcites →https://doi.org/10.1016/j.jpdc.2013.12.004openalex-snapshot
Multi-objective list scheduling of workflow applications in distributed computing infrastructures
inferredcites →https://doi.org/10.1016/j.jpdc.2015.10.001openalex-snapshot
A hybrid genetic algorithm for optimization of scheduling workflow applications in heterogeneous computing systems
inferredcites →https://doi.org/10.1016/j.knosys.2016.01.037openalex-snapshot
An immune system-inspired rescheduling algorithm for workflow in Cloud systems
inferredcites →https://doi.org/10.1016/j.ress.2005.11.018openalex-snapshot
Multi-objective optimization using genetic algorithms: A tutorial
inferredcites →https://doi.org/10.1109/ablaze.2015.7154916openalex-snapshot
Comparative review of selection techniques in genetic algorithm
inferredcites →https://doi.org/10.1109/ccem.2015.31openalex-snapshot
Load Balancing in Cloud Environment Using a Novel Hybrid Scheduling Algorithm
inferredcites →https://doi.org/10.1109/cine.2015.31openalex-snapshot
Cloud Computing Features, Issues, and Challenges: A Big Picture
inferredcites →https://doi.org/10.1109/icact.2016.7423339openalex-snapshot
Load balancing algorithm based on estimating finish time of services in cloud computing
inferredcites →https://doi.org/10.1109/icact.2016.7423340openalex-snapshot
Load balancing algorithm based on estimating finish time of services in cloud computing
inferredcites →https://doi.org/10.1109/nics.2015.7302176openalex-snapshot
A novel workflow scheduling algorithm in cloud environment
inferredcites →https://doi.org/10.1109/scc.2016.26openalex-snapshot
Energy Efficient Partitioning and Scheduling Approach for Scientific Workflows in the Cloud
inferredcites →https://doi.org/10.1109/tpds.2015.2446459openalex-snapshot
Evolutionary Multi-Objective Workflow Scheduling in Cloud
inferredcites →https://doi.org/10.1109/ucc.2015.40openalex-snapshot
A Particle Swarm Optimization Approach for Workflow Scheduling on Cloud Resources Priced by CPU Frequency
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/10.1155/2015/680271openalex-snapshot
Scheduling Multilevel Deadline-Constrained Scientific Workflows on Clouds Based on Cost Optimization
inferredcites →https://doi.org/10.1155/2016/9328070openalex-snapshot
Energy Conservation Using Dynamic Voltage Frequency Scaling for Computational Cloud
inferredcites →https://doi.org/10.1155/2018/1934784openalex-snapshot
Workflow Scheduling Using Hybrid GA‐PSO Algorithm in Cloud Computing
inferredcites →https://doi.org/10.12700/aph.14.4.2017.4.5openalex-snapshot
Dynamic Resource Allocation in Cloud Computing
inferredcites →https://doi.org/10.4230/lipics.opodis.2016.19openalex-snapshot
Deadline-Budget constrained Scheduling Algorithm for Scientific Workflows in a Cloud Environment
inferredcites →https://doi.org/10.5220/0005928903870397openalex-snapshot
An Energy-aware Scheduling Algorithm in DVFS-enabled Networked Data Centers
inferredcites →https://doi.org/10.5815/ijitcs.2015.08.06openalex-snapshot
Cost Minimized PSO based Workflow Scheduling Plan for Cloud Computing

What points at this work

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

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Scheduling energy‐conscious tasks in distributed heterogeneous computing systems
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Energy and cost aware workflow scheduling in clouds with deadline constraint
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A new meta‐heuristic approach for load aware‐cost effective workflow scheduling
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A cooperative multi‐agent offline learning algorithm to scheduling IoT workflows in the cloud computing environment
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Time‐constrained and reliability aware energy minimization scheduling algorithm for heterogeneous multiprocessor environments
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Redefining the learning mechanism in teaching‐learning‐based optimization and its applications for flowtime‐aware‐cost minimizing of the workflow in cloud
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H3CSA: A makespan aware task scheduling technique for cloud environments
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A survey on energy‐efficient workflow scheduling algorithms in cloud computing
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Two-Sided Matching Scheduling Using Multi-Level Look-Ahead Queue of Supply and Demand
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A Deep Reinforcement Learning-Based Approach to the Scheduling of Multiple Workflows on Non-dedicated Edge Servers
inferred← citeshttps://doi.org/10.1007/978-981-15-3020-3_33openalex-snapshot
Deadline Constrained Energy-Efficient Workflow Scheduling Heuristic for Cloud
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An Energy-Conscious Task Scheduling Algorithm for Minimizing Energy Consumption and Makespan in Heterogeneous Distributed Systems
inferred← citeshttps://doi.org/10.1007/s00500-020-04931-7openalex-snapshot
Online scheduling of dependent tasks of cloud’s workflows to enhance resource utilization and reduce the makespan using multiple reinforcement learning-based agents
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Deep reinforcement learning-based methods for resource scheduling in cloud computing: a review and future directions
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An effective meta-heuristic based multi-objective hybrid optimization method for workflow scheduling in cloud computing environment
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Multi-objective workflow scheduling in cloud computing: trade-off between makespan and cost
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FOCALB: Fog Computing Architecture of Load Balancing for Scientific Workflow Applications
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Integer linear programming-based multi-objective scheduling for scientific workflows in multi-cloud environments
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Multi-objective approach for scheduling time-aware business processes in cloud-fog environment
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Hybrid Heuristic Algorithm for Better Energy Optimization and Resource Utilization in Cloud Computing
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An Energy-Efficient Load Balancing Approach for Scientific Workflows in Fog Computing
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A survey on meta-heuristic-based workflow scheduling algorithms running in the cloud computing platforms
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A Hybrid Algorithm for Multi-Objective Scientific Workflow Scheduling in IaaS Cloud
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Trust Aware Multi-Objective Metaheuristics for Workflow Scheduling in Cloud Computing
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Workflow Scheduling in Clouds using Pareto Dominance for Makespan, Cost and Energy
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A Brief Survey of Energy-Efficient Task Scheduling Algorithms in the Cloud
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