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Duplication‐controlled static energy‐efficient scheduling on multiprocessor computing system
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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An adaptive deadline constrained energy‐efficient scheduling heuristic for workflows in clouds
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Benchmarking and Comparison of the Task Graph Scheduling Algorithms
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Low Power Digital CMOS Design
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Trade-Offs Between Voltage Scaling and Processor Shutdown for Low-Energy Embedded Multiprocessors
inferredcites →https://doi.org/10.1007/s10586-009-0119-6openalex-snapshot
Energy aware DAG scheduling on heterogeneous systems
inferredcites →https://doi.org/10.1007/s11241-014-9207-7openalex-snapshot
Scheduling algorithms to reduce the static energy consumption of real-time systems
inferredcites →https://doi.org/10.1016/j.future.2013.02.010openalex-snapshot
Energy-aware parallel task scheduling in a cluster
inferredcites →https://doi.org/10.1016/j.jnca.2013.10.009openalex-snapshot
Adaptive energy-efficient scheduling algorithm for parallel tasks on homogeneous clusters
inferredcites →https://doi.org/10.1016/j.jpdc.2004.11.006openalex-snapshot
Dealing with heterogeneity through limited duplication for scheduling precedence constrained task graphs
inferredcites →https://doi.org/10.1109/71.993206openalex-snapshot
Performance-effective and low-complexity task scheduling for heterogeneous computing
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A survey of design techniques for system-level dynamic power management
inferredcites →https://doi.org/10.1109/ecrts.2011.17openalex-snapshot
Enhanced Race-To-Halt: A Leakage-Aware Energy Management Approach for Dynamic Priority Systems
inferredcites →https://doi.org/10.1109/emrts.2003.1212733openalex-snapshot
Scheduling techniques for reducing leakage power in hard real-time systems
inferredcites →https://doi.org/10.1109/grid.2009.5353056openalex-snapshot
Energy-efficient scheduling algorithm of task dependent graph on DVS-Unable cluster system
inferredcites →https://doi.org/10.1109/grid.2012.32openalex-snapshot
Energy-Aware Scheduling Algorithm with Duplication on Heterogeneous Computing Systems
inferredcites →https://doi.org/10.1109/iadcc.2009.4808986openalex-snapshot
Economical Duplication Based Task Scheduling for Heterogeneous and Homogeneous Computing Systems
inferredcites →https://doi.org/10.1109/icpp.2007.29openalex-snapshot
CPU MISER: A Performance-Directed, Run-Time System for Power-Aware Clusters
inferredcites →https://doi.org/10.1109/raecs.2015.7453345openalex-snapshot
Towards energy efficient scheduling with DVFS for precedence constrained tasks on heterogeneous cluster system
inferredcites →https://doi.org/10.1109/tc.2010.216openalex-snapshot
EAD and PEBD: Two Energy-Aware Duplication Scheduling Algorithms for Parallel Tasks on Homogeneous Clusters
inferredcites →https://doi.org/10.1109/tpds.2003.1206502openalex-snapshot
An improved duplication strategy for scheduling precedence constrained graphs in multiprocessor systems
inferredcites →https://doi.org/10.1145/1023833.1023854openalex-snapshot
Reducing both dynamic and leakage energy consumption for hard real-time systems
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Pruning-based, energy-optimal, deterministic I/O device scheduling for hard real-time systems
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Power reduction techniques for microprocessor systems
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Expected system energy consumption minimization in leakage-aware DVS systems
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Leakage aware dynamic voltage scaling for real-time embedded systems
inferredcites →https://doi.org/10.1177/1063293x16679001openalex-snapshot
Energy conscious scheduling with controlled threshold for precedence-constrained tasks on heterogeneous clusters
inferredcites →https://doi.org/10.3233/mgs-160252openalex-snapshot
Energy efficient duplication-based scheduling for precedence constrained tasks on heterogeneous computing cluster
inferredcites →https://doi.org/10.5860/choice.34-0353openalex-snapshot
Parallel and distributed computing handbook
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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Energy‐efficient task scheduling on heterogeneous computing systems by linear programming
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A variable neighborhood search algorithm for energy conscious task scheduling in heterogeneous computing systems
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Energy Conscious Scheduling for Fault-Tolerant Real-Time Distributed Computing Systems
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Analysis of Greedy, Semi-greedy, and Random Scheduling Heuristics with DVFS for Heterogeneous Fog Computing Platform
inferred← citeshttps://doi.org/10.1007/s10586-019-02965-7openalex-snapshot
Energy-aware scheduling using slack reclamation for cluster systems
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A Comparative Analysis of Dynamic Scheduling Algorithms for Enhanced Resource Management in Homogeneous and Heterogeneous Fog Computing Environments
inferred← citeshttps://doi.org/10.1016/j.procs.2025.01.002openalex-snapshot
Energy and Security-Aware Task Scheduling in Fog Computing: A Comparative Analysis of Scheduling Algorithms using IoT
inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101743openalex-snapshot
Energy-cognizant scheduling for preference-oriented fixed-priority real-time tasks
inferred← citeshttps://doi.org/10.1016/j.sysarc.2020.101901openalex-snapshot
Energy efficient backup overloading schemes for fault tolerant scheduling of real-time tasks
inferred← citeshttps://doi.org/10.1080/03772063.2024.2355657openalex-snapshot
Energy Efficient Heuristics to Schedule Task Graphs on Heterogeneous Voltage-Frequency Islands
inferred← citeshttps://doi.org/10.1109/access.2018.2873641openalex-snapshot
Energy-Efficient Fault-Tolerant Mapping and Scheduling on Heterogeneous Multiprocessor Real-Time Systems
inferred← citeshttps://doi.org/10.1109/access.2020.3026839openalex-snapshot
Dynamic and Static Energy Efficient Scheduling of Task Graphs on Multiprocessors: A Heuristic
inferred← citeshttps://doi.org/10.1109/tvlsi.2020.2978543openalex-snapshot
Communication-Aware Task Scheduling for Energy-Harvesting Nonvolatile Processors
inferred← citeshttps://doi.org/10.12785/ijcds/150179openalex-snapshot
Optimizing Fog Computing Efficiency: Exploring the Role of Heterogeneity in Resource Allocation and Task Scheduling
inferred← citeshttps://doi.org/10.3233/mgs-190299openalex-snapshot
Energy-aware clustering scheduling of parallel applications on heterogeneous computing systems
inferred← citeshttps://doi.org/10.3233/mgs-220357openalex-snapshot
Survey on energy efficient scheduling techniques on cloud computing
inferred← citeshttps://doi.org/10.36227/techrxiv.23374349openalex-snapshot
Investigating performance optimization through balanced task scheduling heuristics and DVFS in hybrid fog-cloud computing platforms
inferred← citeshttps://doi.org/10.36227/techrxiv.23374349.v1openalex-snapshot
Investigating performance optimization through balanced task scheduling heuristics and DVFS in hybrid fog-cloud computing platforms
inferred← citeshttps://doi.org/10.70675/4868eba5zf5f4z47b9zb491z84d4b64be486openalex-snapshot
Optimization of energy and performance of applications on heterogeneous micro-servers
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