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Scheduling for Workflows with Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds

IEEE transactions on parallel and distributed systems, 2017-09, Vol.28 (9), p.2674-2688

2017

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Towards energy-efficient scheduling for real-time tasks under uncertain cloud computing environment

The Journal of systems and software, 2015-01, Vol.99, p.20-35

2015

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Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds

IEEE transactions on cloud computing, 2014-04, Vol.2 (2), p.168-180

2014

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Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds

IEEE transactions on big data, 2020-03, Vol.6 (1), p.131-144

2020

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An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm

IEEE access, 2018-01, Vol.6, p.38179-38185

2018

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Real-Time Workflows Oriented Hybrid Scheduling Approach With Balancing Host Weighted Square Frequencies in Clouds

IEEE access, 2020, Vol.8, p.40828-40837

2020

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Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations

Information sciences, 2020-01, Vol.509, p.457-469

2020

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Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment

IEEE transactions on services computing, 2021-07, Vol.14 (4), p.1167-1178

2021

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Ensemble of differential evolution variants

Information sciences, 2018-01, Vol.423, p.172-186

2018

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A Self-Adapted Across Neighborhood Search Algorithm With Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems

IEEE access, 2018-01, Vol.6, p.41314-41324

2018

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Differential evolution with multi-population based ensemble of mutation strategies

Information sciences, 2016-02, Vol.329, p.329-345

2016

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EONS: Minimizing Energy Consumption for Executing Real-Time Workflows in Virtualized Cloud Data Centers

2016 45th International Conference on Parallel Processing Workshops (ICPPW), 2016, p.385-392

2016

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Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems

IEEE transactions on cybernetics, 2020-07, Vol.50 (7), p.3367-3380

2020

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PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization

Information sciences, 2023-04, Vol.623, p.748-766

2023

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Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks

Information sciences, 2020-11, Vol.540, p.242-262

2020

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Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data

Knowledge-based systems, 2022-10, Vol.253, p.109496, Article 109496

2022

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Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism

IEEE transactions on systems, man, and cybernetics. Systems, 2022-03, Vol.52 (3), p.1716-1730

2022

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Solving Many-Objective Optimization Problems via Multistage Evolutionary Search

IEEE transactions on systems, man, and cybernetics. Systems, 2021-06, Vol.51 (6), p.3552-3564

2021

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An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization

IEEE transactions on systems, man, and cybernetics. Systems, 2021-03, Vol.51 (3), p.1507-1522

2021

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DEFT: Dynamic Fault-Tolerant Elastic scheduling for tasks with uncertain runtime in cloud

Information sciences, 2019-03, Vol.477, p.30-46

2019

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Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering

Swarm and evolutionary computation, 2020-06, Vol.55, p.100690, Article 100690

2020

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EASE: Energy‐efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions

Concurrency and computation, 2021-04, Vol.33 (7), p.1-1

2021

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DEED: Dynamic Energy-Efficient Data offloading for IoT applications under unstable channel conditions

Future generation computer systems, 2019-07, Vol.96, p.425-437

2019

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Real-time workflows oriented online scheduling in uncertain cloud environment

The Journal of supercomputing, 2017-11, Vol.73 (11), p.4906-4922

2017

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Pressure point driven evolutionary algorithm for many-objective optimization

Swarm and evolutionary computation, 2019-12, Vol.51, p.100599, Article 100599

2019

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Scheduling for Workflows with Security-Sensitive Intermediate Data by Selective Tasks Duplication in Clouds

Towards energy-efficient scheduling for real-time tasks under uncertain cloud computing environment

Real-Time Tasks Oriented Energy-Aware Scheduling in Virtualized Clouds

Big Data Processing Workflows Oriented Real-Time Scheduling Algorithm using Task-Duplication in Geo-Distributed Clouds

An Optimal Condition for the Block Orthogonal Matching Pursuit Algorithm

Real-Time Workflows Oriented Hybrid Scheduling Approach With Balancing Host Weighted Square Frequencies in Clouds

Solving large-scale many-objective optimization problems by covariance matrix adaptation evolution strategy with scalable small subpopulations

Uncertainty-Aware Online Scheduling for Real-Time Workflows in Cloud Service Environment

Ensemble of differential evolution variants

A Self-Adapted Across Neighborhood Search Algorithm With Variable Reduction Strategy for Solving Non-Convex Static and Dynamic Economic Dispatch Problems

Differential evolution with multi-population based ensemble of mutation strategies

EONS: Minimizing Energy Consumption for Executing Real-Time Workflows in Virtualized Cloud Data Centers

Hyperplane Assisted Evolutionary Algorithm for Many-Objective Optimization Problems

PRETTY: A parallel transgenerational learning-assisted evolutionary algorithm for computationally expensive multi-objective optimization

Federated learning with adaptive communication compression under dynamic bandwidth and unreliable networks

Resource-constrained self-organized optimization for near-real-time offloading satellite earth observation big data

Ensemble Many-Objective Optimization Algorithm Based on Voting Mechanism

Solving Many-Objective Optimization Problems via Multistage Evolutionary Search

An Adaptive Resource Allocation Strategy for Objective Space Partition-Based Multiobjective Optimization

DEFT: Dynamic Fault-Tolerant Elastic scheduling for tasks with uncertain runtime in cloud

Configuring differential evolution adaptively via path search in a directed acyclic graph for data clustering

EASE: Energy‐efficient task scheduling for edge computing under uncertain runtime and unstable communication conditions

DEED: Dynamic Energy-Efficient Data offloading for IoT applications under unstable channel conditions

Real-time workflows oriented online scheduling in uncertain cloud environment

Pressure point driven evolutionary algorithm for many-objective optimization

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