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Enhanced Energy-Efficient Scheduling for Parallel Applications in Cloud
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Outgoing claims: the papers this work cites, builds on, or argues with.
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inferredcites →https://doi.org/10.1109/clustr.2006.311839openalex-snapshot
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Scheduling with dynamic voltage/speed adjustment using slack reclamation in multiprocessor real-time systems
inferredcites →https://doi.org/10.1109/tpds.2009.11openalex-snapshot
Scheduling Parallel Task Graphs on (Almost) Homogeneous Multicluster Platforms
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Energy Conscious Scheduling for Distributed Computing Systems under Different Operating Conditions
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Report to Congress on Server and Data Center Energy Efficiency: Public Law 109-431
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Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1002/cpe.3592openalex-snapshot
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inferred← citeshttps://doi.org/10.1002/cpe.4024openalex-snapshot
Schedule length minimization of parallel applications with energy consumption constraints using heuristics on heterogeneous distributed systems
inferred← citeshttps://doi.org/10.1002/cpe.4731openalex-snapshot
Energy‐efficient task scheduling on heterogeneous computing systems by linear programming
inferred← citeshttps://doi.org/10.1002/cpe.6520openalex-snapshot
Scheduling energy‐conscious tasks in distributed heterogeneous computing systems
inferred← citeshttps://doi.org/10.1002/cpe.6922openalex-snapshot
Energy and cost aware workflow scheduling in clouds with deadline constraint
inferred← citeshttps://doi.org/10.1002/cpe.7227openalex-snapshot
Multi‐objective task scheduling in fog computing using improved gaining sharing knowledge based algorithm
inferred← citeshttps://doi.org/10.1002/cpe.7252openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-29516-5_52openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-030-74536-3_4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-032-35251-4_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-319-11197-1_31openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-3-662-49014-3_9openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-10-6872-0_60openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-13-3140-4_64openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-13-6557-7_2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-13-6557-7_6openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/978-981-15-3020-3_33openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-021-03512-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10586-026-06216-4openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10723-015-9334-yopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s10723-017-9391-5openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11227-018-2498-zopenalex-snapshot
PL-DVFS: combining Power-aware List-based scheduling algorithm with DVFS technique for real-time tasks in Cloud Computing
inferred← citeshttps://doi.org/10.1007/s11227-021-03733-4openalex-snapshot
An energy-efficient big data workflow scheduling algorithm under budget constraints for heterogeneous cloud environment
inferred← citeshttps://doi.org/10.1007/s11227-023-05330-zopenalex-snapshot
Energy-aware workflow scheduling in fog computing using a hybrid chaotic algorithm
inferred← citeshttps://doi.org/10.1007/s11277-021-08263-zopenalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11277-022-09523-2openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s11277-022-09621-1openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s12083-024-01800-0openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s13369-020-04879-8openalex-snapshot
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inferred← citeshttps://doi.org/10.1007/s40747-021-00609-1openalex-snapshot
Reliability aware green workflow scheduling using ε-fuzzy dominance in cloud
inferred← citeshttps://doi.org/10.1016/j.cosrev.2018.08.002openalex-snapshot
Scheduling in distributed systems: A cloud computing perspective
inferred← citeshttps://doi.org/10.1016/j.future.2016.08.022openalex-snapshot
Slack allocation algorithm for energy minimization in cluster systems
inferred← citeshttps://doi.org/10.1016/j.future.2017.01.015openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2017.03.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2017.05.033openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.future.2020.05.040openalex-snapshot
A smart energy and reliability aware scheduling algorithm for workflow execution in DVFS-enabled cloud environment
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.01.006openalex-snapshot
Minimizing energy consumption with reliability goal on heterogeneous embedded systems
inferred← citeshttps://doi.org/10.1016/j.jpdc.2020.04.008openalex-snapshot
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inferred← citeshttps://doi.org/10.1016/j.jpdc.2022.10.003openalex-snapshot
Intelligent energy-efficient scheduling with ant colony techniques for heterogeneous edge computing
inferred← citeshttps://doi.org/10.1016/j.jpdc.2026.105286openalex-snapshot
Communication-energy-aware scheduling of task graphs
inferred← citeshttps://doi.org/10.1016/j.neucom.2021.08.145openalex-snapshot
Energy-efficient VM opening algorithms for real-time workflows in heterogeneous clouds
inferred← citeshttps://doi.org/10.1016/j.seta.2021.101210openalex-snapshot
Cost-based Energy Efficient Scheduling Technique for Dynamic Voltage and Frequency Scaling System in cloud computing
inferred← citeshttps://doi.org/10.1016/j.simpat.2018.07.006openalex-snapshot
Energy-aware scheduling algorithm for time-constrained workflow tasks in DVFS-enabled cloud environment
inferred← citeshttps://doi.org/10.1016/j.simpat.2021.102323openalex-snapshot
Energy-aware workflow task scheduling in clouds with virtual machine consolidation using discrete water wave optimization
inferred← citeshttps://doi.org/10.1016/j.sysarc.2018.03.001openalex-snapshot
Soft error-aware energy-efficient task scheduling for workflow applications in DVFS-enabled cloud
inferred← citeshttps://doi.org/10.1016/j.sysarc.2019.07.001openalex-snapshot
Minimizing temperature and energy of real-time applications with precedence constraints on heterogeneous MPSoC systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2021.102329openalex-snapshot
HEA-PAS: A hybrid energy allocation strategy for parallel applications scheduling on heterogeneous computing systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.102938openalex-snapshot
Scheduling energy consumption-constrained workflows in heterogeneous multi-processor embedded systems
inferred← citeshttps://doi.org/10.1016/j.sysarc.2023.103051openalex-snapshot
PED: Probabilistic Energy-efficient Deadline-aware scheduler for heterogeneous SoCs
inferred← citeshttps://doi.org/10.1080/02564602.2014.890837openalex-snapshot
Resource Allocation and Scheduling in Cloud Computing: Policy and Algorithm
inferred← citeshttps://doi.org/10.1080/0952813x.2023.2188490openalex-snapshot
A QoS-based technique for load balancing in green cloud computing using an artificial bee colony algorithm
inferred← citeshttps://doi.org/10.1109/access.2018.2825648openalex-snapshot
Reducing Energy Consumption With Cost Budget Using Available Budget Preassignment in Heterogeneous Cloud Computing Systems
inferred← citeshttps://doi.org/10.1109/access.2020.2970166openalex-snapshot
Energy-Aware Task Scheduling on Heterogeneous Computing Systems With Time Constraint
inferred← citeshttps://doi.org/10.1109/access.2024.3471068openalex-snapshot
A GWO-MFO-Based Resource Allocation in Vehicular Fog Computing With Latency Constraints and Energy Reduction
inferred← citeshttps://doi.org/10.1109/cbd.2014.18openalex-snapshot
Deadline Constrained Energy-Efficient Scheduling for Workflows in Clouds
inferred← citeshttps://doi.org/10.1109/ccgrid.2019.00044openalex-snapshot
Exploiting CPU Voltage Margins to Increase the Profit of Cloud Infrastructure Providers
inferred← citeshttps://doi.org/10.1109/ccgrid49817.2020.00-38openalex-snapshot
Increasing the Profit of Cloud Providers through DRAM Operation at Reduced Margins
inferred← citeshttps://doi.org/10.1109/cis.2016.0101openalex-snapshot
Energy-Aware Scheduling of Workflow in Cloud Center with Deadline Constraint
inferred← citeshttps://doi.org/10.1109/cscloud-edgecom58631.2023.00083openalex-snapshot
Energy-saving Processors Two-phases Frequency Reduction Algorithm on Heterogeneous Embedded Systems
inferred← citeshttps://doi.org/10.1109/eitce47263.2019.9094854openalex-snapshot
A power-aware scheduling algorithm for real-time workflow applications in clouds
inferred← citeshttps://doi.org/10.1109/gcat47503.2019.8978282openalex-snapshot
Energy-Aware Parallel Computing for Cloud Architecture using ANN
inferred← citeshttps://doi.org/10.1109/hpcc.and.euc.2013.89openalex-snapshot
An Energy-Aware Resource Allocation Heuristics for VM Scheduling in Cloud
inferred← citeshttps://doi.org/10.1109/iccicct.2014.6993161openalex-snapshot
Energy efficient task scheduling for parallel workflows in cloud environment
inferred← citeshttps://doi.org/10.1109/icenco48310.2019.9027437openalex-snapshot
EASTD: A New Energy-Aware Scheduling with Target Deadline Constraint for Real Workflows in DVFS Cloud Environment
inferred← citeshttps://doi.org/10.1109/iciea.2015.7334196openalex-snapshot
Workflow scheduling on distributed systems
inferred← citeshttps://doi.org/10.1109/icnc.2014.6975853openalex-snapshot
An efficient bi-objective particle swarm optimization algorithm for scheduling workflows on heterogeneous dynamic voltage scaling enabled processors
inferred← citeshttps://doi.org/10.1109/icppw.2014.26openalex-snapshot
Energy-Aware Workflow Scheduling Using Frequency Scaling
inferred← citeshttps://doi.org/10.1109/icscss60660.2024.10624894openalex-snapshot
Synergizing AI and Multiprocessor Systems for Task Scheduling in Industry 4.0
inferred← citeshttps://doi.org/10.1109/icsec.2013.6694749openalex-snapshot
Efficient energy aware task scheduling for parallel workflow tasks on hybrids cloud environment
inferred← citeshttps://doi.org/10.1109/icsec.2018.8712618openalex-snapshot
Energy-aware and Performance-aware of Workflow Application with Hybrid Scheduling Algorithm on Cloud Computing
inferred← citeshttps://doi.org/10.1109/icssit53264.2022.9716262openalex-snapshot
Energy efficient workflow scheduling in Dynamic Voltage Frequency scaling enabled cloud using Metaheuristic approach
inferred← citeshttps://doi.org/10.1109/ipdpsw.2014.95openalex-snapshot
Bag-of-Task Scheduling on Power-Aware Clusters Using a DVFS-Based Mechanism
inferred← citeshttps://doi.org/10.1109/ispa/iucc.2017.00015openalex-snapshot
An Efficient Scheduling Algorithm for Energy Consumption Constrained Parallel Applications on Heterogeneous Distributed Systems
inferred← citeshttps://doi.org/10.1109/ispa/iucc.2017.00038openalex-snapshot
Power Consumption Optimization for Deadline-Constrained Workflows in Cloud Data Center
inferred← citeshttps://doi.org/10.1109/ispa63168.2024.00140openalex-snapshot
Elastic and Energy-Efficient Virtual Machine Allocation on Edge Servers for Internet of Vehicles
inferred← citeshttps://doi.org/10.1109/jcsse.2016.7748853openalex-snapshot
Energy-aware scheduling of multiple workflows application on distributed systems
inferred← citeshttps://doi.org/10.1109/otcon60325.2024.10687592openalex-snapshot
Optimizing Machine Learning Algorithms for Temperature Forecasting and Energy Management Systems
inferred← citeshttps://doi.org/10.1109/paap.2014.33openalex-snapshot
An Efficient Energy Scheduling Algorithm for Workflow Tasks in Hybrids and DVFS-Enabled Cloud Environment
inferred← citeshttps://doi.org/10.1109/padsw.2018.8645012openalex-snapshot
ISAECC: An Improved Scheduling Approach for Energy Consumption Constrained Parallel Applications on Heterogeneous Distributed Systems
inferred← citeshttps://doi.org/10.1109/sips.2018.8598317openalex-snapshot
Energy Modeling of Cluster System
inferred← citeshttps://doi.org/10.1109/ssd54932.2022.9955799openalex-snapshot
Task Scheduling in Cloud Computing Based on FPA Metaheuristic Algorithm
inferred← citeshttps://doi.org/10.1109/tc.2021.3052389openalex-snapshot
PRESTO: A Penalty-Aware Real-Time Scheduler for Task Graphs on Heterogeneous Platforms
inferred← citeshttps://doi.org/10.1109/tc.2022.3191970openalex-snapshot
SAFLA: Scheduling Multiple Real-Time Periodic Task Graphs on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/tcad.2021.3049688openalex-snapshot
A DVFS-Weakly Dependent Energy-Efficient Scheduling Approach for Deadline-Constrained Parallel Applications on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/tcad.2022.3228504openalex-snapshot
Energy-Aware Real-Time Scheduling of Multiple Periodic DAGs on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/tcc.2019.2956498openalex-snapshot
Scheduling Real-Time Parallel Applications in Cloud to Minimize Energy Consumption
inferred← citeshttps://doi.org/10.1109/tcc.2022.3188672openalex-snapshot
Energy and Reliability-Aware Task Scheduling for Cost Optimization of DVFS-Enabled Cloud Workflows
inferred← citeshttps://doi.org/10.1109/tgcn.2021.3131323openalex-snapshot
A Predictive Energy Consumption Scheduling Algorithm for Multiprocessor Heterogeneous System
inferred← citeshttps://doi.org/10.1109/tgcn.2022.3186314openalex-snapshot
Energy-Efficient Task Scheduling Based on Traffic Mapping in Heterogeneous Mobile-Edge Computing: A Green IoT Perspective
inferred← citeshttps://doi.org/10.1109/tii.2017.2676183openalex-snapshot
Minimizing Energy Consumption of Real-Time Parallel Applications Using Downward and Upward Approaches on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1109/tii.2018.2854762openalex-snapshot
Reliability Enhancement Toward Functional Safety Goal Assurance in Energy-Aware Automotive Cyber-Physical Systems
inferred← citeshttps://doi.org/10.1109/tpds.2017.2730876openalex-snapshot
Energy-Efficient Scheduling Algorithms for Real-Time Parallel Applications on Heterogeneous Distributed Embedded Systems
inferred← citeshttps://doi.org/10.1109/tpds.2019.2959533openalex-snapshot
Task Scheduling for Energy Consumption Constrained Parallel Applications on Heterogeneous Computing Systems
inferred← citeshttps://doi.org/10.1109/tpds.2021.3091400openalex-snapshot
Taming System Dynamics on Resource Optimization for Data Processing Workflows: A Probabilistic Approach
inferred← citeshttps://doi.org/10.1109/tpds.2024.3492210openalex-snapshot
Real Relative Encoding Genetic Algorithm for Workflow Scheduling in Heterogeneous Distributed Computing Systems
inferred← citeshttps://doi.org/10.1109/tsc.2015.2466545openalex-snapshot
Cost and Energy Aware Scheduling Algorithm for Scientific Workflows with Deadline Constraint in Clouds
inferred← citeshttps://doi.org/10.1109/tsc.2021.3054754openalex-snapshot
Energy-minimized Scheduling of Real-time Parallel Workflows on Heterogeneous Distributed Computing Systems
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2705183openalex-snapshot
Energy-Aware Processor Merging Algorithms for Deadline Constrained Parallel Applications in Heterogeneous Cloud Computing
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2711362openalex-snapshot
Energy-Efficient Fault-Tolerant Scheduling of Reliable Parallel Applications on Heterogeneous Distributed Embedded Systems
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2722822openalex-snapshot
A Survey on Modeling Energy Consumption of Cloud Applications: Deconstruction, State of the Art, and Trade-Off Debates
inferred← citeshttps://doi.org/10.1109/tsusc.2021.3057983openalex-snapshot
A Survey of Low-Energy Parallel Scheduling Algorithms
inferred← citeshttps://doi.org/10.1109/tsusc.2023.3295939openalex-snapshot
Binary Search-Based Fast Scheduling Algorithms for Reliability-Aware Energy-Efficient Task Graph Scheduling With Fault Tolerance
inferred← citeshttps://doi.org/10.1142/s0218126619501597openalex-snapshot
Energy Optimization Heuristics for Budget-Constrained Workflow in Heterogeneous Computing System
inferred← citeshttps://doi.org/10.1142/s0218126619501901openalex-snapshot
Enhanced Parallel Application Scheduling Algorithm with Energy Consumption Constraint in Heterogeneous Distributed Systems
inferred← citeshttps://doi.org/10.1142/s0218126625503244openalex-snapshot
Energy-Efficient Scheduling for Dependent Tasks in DVFS-Enabled Heterogeneous Cloud Computing
inferred← citeshttps://doi.org/10.1145/2465813.2465822openalex-snapshot
Energy-aware I/O optimization for checkpoint and restart on a NAND flash memory system
inferred← citeshttps://doi.org/10.1145/3220162.3220185openalex-snapshot
A Schedule Method for Parallel Applications on Heterogeneous Distributed Systems with Energy Consumption Constraint
inferred← citeshttps://doi.org/10.1145/3337821.3337847openalex-snapshot
Incorporating Probabilistic Optimizations for Resource Provisioning of Data Processing Workflows
inferred← citeshttps://doi.org/10.1145/3844944openalex-snapshot
TMSO: Task Merging Strategies Based Optimized Scheduling for Energy-Constrained Parallel Applications in Heterogeneous Distributed Systems
inferred← citeshttps://doi.org/10.1155/2014/370917openalex-snapshot
An Efficient Biobjective Heuristic for Scheduling Workflows on Heterogeneous DVS-Enabled Processors
inferred← citeshttps://doi.org/10.11591/ijece.v8i2.pp1018-1027openalex-snapshot
An Energy Aware Resource Utilization Framework to Control Traffic in Cloud Network and Overloads
inferred← citeshttps://doi.org/10.1631/fitee.1400399openalex-snapshot
Energy-aware schedulingwith reconstruction and frequency equalization on heterogeneous systems
inferred← citeshttps://doi.org/10.21203/rs.3.rs-2025341/v1openalex-snapshot
Energy Efficient Resource Allocation in Heterogeneous Computing Environments
inferred← citeshttps://doi.org/10.23956/ijarcsse/v7i5/0178openalex-snapshot
A Review Paper on Various Task Scheduling Algorithms in Cloud Computing
inferred← citeshttps://doi.org/10.32604/csse.2024.050406openalex-snapshot
A Novel Optimization Approach for Energy-Efficient Multiple Workflow Scheduling in Cloud Environment
inferred← citeshttps://doi.org/10.3390/app10217500openalex-snapshot
GRASP and Iterated Local Search-Based Cellular Processing algorithm for Precedence-Constraint Task List Scheduling on Heterogeneous Systems
inferred← citeshttps://doi.org/10.3390/electronics9122077openalex-snapshot
Task-Level Aware Scheduling of Energy-Constrained Applications on Heterogeneous Multi-Core System
inferred← citeshttps://doi.org/10.37936/ecti-cit.201591.54409openalex-snapshot
Scheduling Parallel Work ow Applications with Energy-Aware on a Cloud Platform
inferred← citeshttps://doi.org/10.48550/arxiv.2107.02342openalex-snapshot
Energy and Thermal-aware Resource Management of Cloud Data Centres: A Taxonomy and Future Directions
inferred← citeshttps://doi.org/10.61186/jsdp.20.1.25openalex-snapshot
ICTF: Imperialist Competitive Algorithm-based Task Scheduling in Fog Computing
inferred← citeshttps://doi.org/10.70675/4868eba5zf5f4z47b9zb491z84d4b64be486openalex-snapshot
Optimization of energy and performance of applications on heterogeneous micro-servers
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