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Energy and Scientific Workflows: Smart Scheduling and Execution.
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- Journal of Information Science & Engineering, 2024, v. 40, n. 5, p. 957, doi. 10.6688/JISE.202409_40(5).0002
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Recording provenance of workflow runs with RO-Crate.
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- PLoS ONE, 2024, v. 19, n. 9, p. 1, doi. 10.1371/journal.pone.0309210
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基于区块链的建筑材料供应链质量管理研究.
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- Journal of Engineering Management / Gongcheng Guanli Xuebao, 2024, v. 38, n. 4, p. 135, doi. 10.13991/j.cnki.jem.2024.04.024
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A Comprehensive Workflow towards More Equant‐Shaped Crystals of Active Pharmaceutical Ingredients.
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- Chemical Engineering & Technology, 2024, v. 47, n. 4, p. 672, doi. 10.1002/ceat.202300314
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A hybrid approach to scheduling real-time IoT workflows in fog and cloud environments.
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- Multimedia Tools & Applications, 2019, v. 78, n. 17, p. 24639, doi. 10.1007/s11042-018-7051-9
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A workflow management system to feed digital libraries: proposal and case study.
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- Multimedia Tools & Applications, 2016, v. 75, n. 7, p. 3843, doi. 10.1007/s11042-014-2155-3
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Security challenges for workflow allocation model in cloud computing environment: a comprehensive survey, framework, taxonomy, open issues, and future directions.
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- Journal of Supercomputing, 2024, v. 80, n. 8, p. 11491, doi. 10.1007/s11227-023-05873-1
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A survey study on task scheduling schemes for workflow executions in cloud computing environment: classification and challenges.
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- Journal of Supercomputing, 2024, v. 80, n. 7, p. 9384, doi. 10.1007/s11227-023-05806-y
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PCP–ACO: a hybrid deadline-constrained workflow scheduling algorithm for cloud environment.
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- Journal of Supercomputing, 2024, v. 80, n. 6, p. 7750, doi. 10.1007/s11227-023-05753-8
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A mathematical programming approach for resource allocation of data analysis workflows on heterogeneous clusters.
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- Journal of Supercomputing, 2023, v. 79, n. 17, p. 19019, doi. 10.1007/s11227-023-05325-w
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Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm.
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- Journal of Supercomputing, 2023, v. 79, n. 16, p. 18569, doi. 10.1007/s11227-023-05330-z
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Cost-effective approaches for deadline-constrained workflow scheduling in clouds.
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- Journal of Supercomputing, 2023, v. 79, n. 7, p. 7484, doi. 10.1007/s11227-022-04962-x
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- Article
A cost and makespan aware scheduling algorithm for dynamic multi-workflow in cloud environment.
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- Journal of Supercomputing, 2023, v. 79, n. 2, p. 1814, doi. 10.1007/s11227-022-04681-3
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A multi-criteria decision making heuristic for workflow scheduling in cloud computing environment.
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- Journal of Supercomputing, 2023, v. 79, n. 1, p. 243, doi. 10.1007/s11227-022-04677-z
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Variable neighborhood search based multiobjective ACO-list scheduling for cloud workflows.
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- Journal of Supercomputing, 2022, v. 78, n. 17, p. 18856, doi. 10.1007/s11227-022-04616-y
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A hybrid algorithm for scheduling scientific workflows in IaaS cloud with deadline constraint.
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- Journal of Supercomputing, 2022, v. 78, n. 15, p. 16975, doi. 10.1007/s11227-022-04563-8
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CDA: a novel multicore scheduling for cost-aware deadline-constrained scientific workflows on the IaaS cloud.
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- Journal of Supercomputing, 2022, v. 78, n. 15, p. 17027, doi. 10.1007/s11227-022-04551-y
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Analysis of workflow schedulers in simulated distributed environments.
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- Journal of Supercomputing, 2022, v. 78, n. 13, p. 15154, doi. 10.1007/s11227-022-04438-y
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A flexible deadline-driven resource provisioning and scheduling algorithm for multiple workflows with VM sharing protocol on WaaS-cloud.
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- Journal of Supercomputing, 2022, v. 78, n. 6, p. 8025, doi. 10.1007/s11227-021-04225-1
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An energy-aware scheduling of dynamic workflows using big data similarity statistical analysis in cloud computing.
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- Journal of Supercomputing, 2022, v. 78, n. 3, p. 4261, doi. 10.1007/s11227-021-04016-8
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Comparative evaluation of task priorities for processing and bandwidth capacities-based workflow scheduling for cloud environment.
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- Journal of Supercomputing, 2022, v. 78, n. 3, p. 3814, doi. 10.1007/s11227-021-03979-y
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A containerized task clustering for scheduling workflows to utilize processors and containers on clouds.
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- Journal of Supercomputing, 2021, v. 77, n. 11, p. 12879, doi. 10.1007/s11227-021-03789-2
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PSO+LOA: hybrid constrained optimization for scheduling scientific workflows in the cloud.
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- Journal of Supercomputing, 2021, v. 77, n. 11, p. 13139, doi. 10.1007/s11227-021-03755-y
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A novel cloud workflow scheduling algorithm based on stable matching game theory.
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- Journal of Supercomputing, 2021, v. 77, n. 10, p. 11597, doi. 10.1007/s11227-021-03742-3
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An energy-efficient big data workflow scheduling algorithm under budget constraints for heterogeneous cloud environment.
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- Journal of Supercomputing, 2021, v. 77, n. 10, p. 11946, doi. 10.1007/s11227-021-03733-4
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Replication and data management-based workflow scheduling algorithm for multi-cloud data centre platform.
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- Journal of Supercomputing, 2021, v. 77, n. 10, p. 10743, doi. 10.1007/s11227-020-03541-2
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Computation of workflow scheduling using backpropagation neural network in cloud computing: a virtual machine placement approach.
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- Journal of Supercomputing, 2021, v. 77, n. 9, p. 9454, doi. 10.1007/s11227-021-03648-0
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Toward efficient execution of data-intensive workflows.
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- Journal of Supercomputing, 2021, v. 77, n. 8, p. 7989, doi. 10.1007/s11227-020-03612-4
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Ready-time partitioning algorithm for computation offloading of workflow applications in mobile cloud computing.
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- Journal of Supercomputing, 2021, v. 77, n. 6, p. 6408, doi. 10.1007/s11227-020-03528-z
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Scheduling large-scale scientific workflow on virtual machines with different numbers of vCPUs.
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- Journal of Supercomputing, 2021, v. 77, n. 1, p. 679, doi. 10.1007/s11227-020-03273-3
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Scheduling scientific workflows on virtual machines using a Pareto and hypervolume based black hole optimization algorithm.
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- Journal of Supercomputing, 2020, v. 76, n. 10, p. 7635, doi. 10.1007/s11227-020-03183-4
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Efficient task and workflow scheduling in inter-cloud environments: challenges and opportunities.
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- Journal of Supercomputing, 2020, v. 76, n. 1, p. 499, doi. 10.1007/s11227-019-03038-7
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An energy-aware scheduling algorithm for budget-constrained scientific workflows based on multi-objective reinforcement learning.
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- Journal of Supercomputing, 2020, v. 76, n. 1, p. 455, doi. 10.1007/s11227-019-03033-y
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MOPT: list-based heuristic for scheduling workflows in cloud environment.
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- Journal of Supercomputing, 2019, v. 75, n. 7, p. 3740, doi. 10.1007/s11227-018-2726-6
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Framework for automated partitioning and execution of scientific workflows in the cloud.
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- Journal of Supercomputing, 2018, v. 74, n. 6, p. 2656, doi. 10.1007/s11227-018-2296-7
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Resource scheduling approach for multimedia cloud content management.
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- Journal of Supercomputing, 2017, v. 73, n. 12, p. 5150, doi. 10.1007/s11227-017-2074-y
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Granularity-based workflow scheduling algorithm for cloud computing.
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- Journal of Supercomputing, 2017, v. 73, n. 12, p. 5440, doi. 10.1007/s11227-017-2094-7
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Real-time workflows oriented online scheduling in uncertain cloud environment.
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- Journal of Supercomputing, 2017, v. 73, n. 11, p. 4906, doi. 10.1007/s11227-017-2060-4
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Dealing with structural changes on provisioning resources for deadline-constrained workflow.
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- Journal of Supercomputing, 2017, v. 73, n. 7, p. 2896, doi. 10.1007/s11227-016-1823-7
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ATSDS: adaptive two-stage deadline-constrained workflow scheduling considering run-time circumstances in cloud computing environments.
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- Journal of Supercomputing, 2017, v. 73, n. 6, p. 2430, doi. 10.1007/s11227-016-1928-z
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Adaptive dual-criteria task group allocation for clustering-based multi-workflow scheduling on parallel computing platform.
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- Journal of Supercomputing, 2015, v. 71, n. 10, p. 3811, doi. 10.1007/s11227-015-1469-x
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Adaptive multiple-workflow scheduling with task rearrangement.
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- Journal of Supercomputing, 2015, v. 71, n. 4, p. 1297, doi. 10.1007/s11227-014-1361-0
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Task ranking and allocation in list-based workflow scheduling on parallel computing platform.
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- Journal of Supercomputing, 2015, v. 71, n. 1, p. 217, doi. 10.1007/s11227-014-1294-7
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Cost optimal scheduling in IaaS for dependent workload with particle swarm optimization.
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- Journal of Supercomputing, 2014, v. 68, n. 3, p. 1579, doi. 10.1007/s11227-014-1126-9
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Multi-objective workflow grid scheduling using $$\varepsilon $$ -fuzzy dominance sort based discrete particle swarm optimization.
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- Journal of Supercomputing, 2014, v. 68, n. 2, p. 709, doi. 10.1007/s11227-013-1059-8
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A joint InSAR-GNSS workflow for correction and selection of interferograms to estimate high-resolution interseismic deformations.
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- Satellite Navigation, 2023, v. 4, n. 1, p. 1, doi. 10.1186/s43020-023-00105-6
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Method Comparison and Workflow Differences Using the Same Free Light Chain Assay on 2 Analyzer Platforms.
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- Journal of Applied Laboratory Medicine, 2023, v. 8, n. 4, p. 689, doi. 10.1093/jalm/jfad020
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[ 68 Ga]Ga-PSMA and [ 68 Ga]Ga-RM2 PET/MRI vs. Histopathological Images in Prostate Cancer: A New Workflow for Spatial Co-Registration.
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- Bioengineering (Basel), 2023, v. 10, n. 8, p. 953, doi. 10.3390/bioengineering10080953
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Towards a Rapid-Turnaround Low-Depth Unbiased Metagenomics Sequencing Workflow on the Illumina Platforms.
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- Bioengineering (Basel), 2023, v. 10, n. 5, p. 520, doi. 10.3390/bioengineering10050520
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OperativeWorkflow from CT to 3D Printing of the Heart: Opportunities and Challenges.
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- Bioengineering (Basel), 2021, v. 8, n. 10, p. 1, doi. 10.3390/bioengineering8100130
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