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Energy-Aware Fixed-Priority Multi-core Scheduling for Real-Time Systems
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/978-0-585-29603-6_17openalex-snapshot
Scheduling for Reduced CPU Energy
inferredcites →https://doi.org/10.1016/b978-155860702-6/50016-8openalex-snapshot
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
inferredcites →https://doi.org/10.1109/ecrts.2009.33openalex-snapshot
Partitioned Fixed-Priority Preemptive Scheduling for Multi-core Processors
inferredcites →https://doi.org/10.1109/ipdps.2003.1213225openalex-snapshot
Energy-aware partitioning for multiprocessor real-time systems
inferredcites →https://doi.org/10.1109/rtas.2010.39openalex-snapshot
Fixed-Priority Multiprocessor Scheduling with Liu and Layland's Utilization Bound
inferredcites →https://doi.org/10.1145/321738.321743openalex-snapshot
Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
inferredcites →https://doi.org/10.1145/502034.502044openalex-snapshot
Real-time dynamic voltage scaling for low-power embedded operating systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
inferred← citeshttps://doi.org/10.1007/s11227-014-1248-0openalex-snapshot
Performance scalability and energy consumption on distributed and many-core platforms
inferred← citeshttps://doi.org/10.1016/j.parco.2022.102892openalex-snapshot
Tight Lower bound on power consumption for scheduling real-time periodic tasks in core-level DVFS systems
inferred← citeshttps://doi.org/10.1016/j.parco.2023.103022openalex-snapshot
Segment based power-efficient scheduling for real-time DAG tasks on edge devices
inferred← citeshttps://doi.org/10.1016/j.sysarc.2016.01.001openalex-snapshot
Online slack consolidation in global-EDF for energy consumption minimisation
inferred← citeshttps://doi.org/10.1109/distra.2017.8167661openalex-snapshot
An efficient energy-driven scheduling of DVFS-multicore systems with a hierarchy of shared memories
inferred← citeshttps://doi.org/10.1109/gcct.2015.7342622openalex-snapshot
Energy saving dynamic level scheduling with energy estimation and monitoring in homogeneous multiprocessor system
inferred← citeshttps://doi.org/10.1109/hpcc-css-icess.2015.313openalex-snapshot
A Framework for Learning Based DVFS Technique Selection and Frequency Scaling for Multi-core Real-Time Systems
inferred← citeshttps://doi.org/10.1109/hpcc.2014.101openalex-snapshot
Learning Based Power Management for Periodic Real-Time Tasks
inferred← citeshttps://doi.org/10.1109/icacci.2014.6968620openalex-snapshot
An approach for a reduced response time and Energy consumption in mixed task set using a Priority Exchange Server
inferred← citeshttps://doi.org/10.1109/icacci.2016.7732454openalex-snapshot
Power aware scheduling on real-time multi-core systems
inferred← citeshttps://doi.org/10.1109/iciinfs.2013.6732060openalex-snapshot
Dynamicvoltage and frequency scaling scheduling algorithm for mixed task set
inferred← citeshttps://doi.org/10.1109/iciinfs.2016.8262970openalex-snapshot
Multicore processor: Internal structure, architecture, issues, challenges, scheduling strategies and performance
inferred← citeshttps://doi.org/10.1109/icit.2014.59openalex-snapshot
RT-DVS for Power Optimization in Multiprocessor Real-Time Systems
inferred← citeshttps://doi.org/10.1109/jsyst.2015.2446205openalex-snapshot
Hybrid DVFS Scheduling for Real-Time Systems Based on Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/rtcsa.2016.40openalex-snapshot
Energy-Efficient Scheduling of Real-Time Tasks on Heterogeneous Multicores Using Task Splitting
inferred← citeshttps://doi.org/10.1109/tc.2015.2441704openalex-snapshot
Triple Speed: Energy-Aware Real-Time Task Synchronization in Homogeneous Multi-Core Systems
inferred← citeshttps://doi.org/10.1109/tc.2015.2485229openalex-snapshot
Node Scaling Analysis for Power-Aware Real-Time Tasks Scheduling
inferred← citeshttps://doi.org/10.1109/tsusc.2017.2743704openalex-snapshot
Energy-Efficient Scheduling for Real-Time Systems Based on Deep Q-Learning Model
inferred← citeshttps://doi.org/10.1145/2480362.2480641openalex-snapshot
Energy-aware real-time task synchronization in multi-core embedded systems
inferred← citeshttps://doi.org/10.1145/2808231openalex-snapshot
Energy-Aware Scheduling for Real-Time Systems
inferred← citeshttps://doi.org/10.25148/etd.fi14071139openalex-snapshot
A Multi-core Testbed on Desktop Computer for Research on Power/Thermal Aware Resource Management
inferred← citeshttps://doi.org/10.34626/3r8w-w070openalex-snapshot
Energy and Temperature Aware Real-Time Systems
inferred← citeshttps://doi.org/10.37394/23205.2022.21.4openalex-snapshot
Action: A New Metric for Evaluating the Energy Efficiency on High Performance Computing Platforms (ranked on Green500 List)
inferred← citeshttps://doi.org/10.5120/17605-8347openalex-snapshot
Energy Efficient Scheduling Algorithm for Applying Dynamic Voltage and Frequency Scaling to Mixed Task Set
inferred← citeshttps://doi.org/10.5755/j01.itc.47.3.18433openalex-snapshot
On Improving Efficiency and Utilization of Last Level Cache in Multicore Systems
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