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System-Level Energy Management for Periodic Real-Time Tasks
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Outgoing claims: the papers this work cites, builds on, or argues with.
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Scheduling for Reduced CPU Energy
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The Case for Power Management in Web Servers
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Linear and Nonlinear Programming
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The Synergy Between Power-Aware Memory Systems and Processor Voltage Scaling
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Reducing System Level Power Consumption for Mobile and Embedded Platforms
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Linear and nonlinear programming.
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Voltage-Clock Scaling for Low Energy Consumption in Fixed-Priority Real-Time Systems
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Power-aware operating systems for interactive systems
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System-level energy-efficient dynamic task scheduling
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Fine-grained dynamic voltage and frequency scaling for precise energy and performance trade-off based on the ratio of off-chip access to on-chip computation times
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Speed Modulation in Energy-Aware Real-Time Systems
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Scheduling techniques for reducing leakage power in hard real-time systems
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Energy efficient CMOS microprocessor design
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The effects of energy management on reliability in real-time embedded systems
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Energy Management for Real-Time Embedded Systems with Reliability Requirements
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Dynamic and aggressive scheduling techniques for power-aware real-time systems
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FAST: frequency-aware static timing analysis
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A dynamic voltage scaling algorithm for sporadic tasks
inferredcites →https://doi.org/10.1109/real.2004.23openalex-snapshot
Fixed Priority Scheduling for Reducing Overall Energy on Variable Voltage Processors
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Reliability-Aware Dynamic Energy Management in Dependable Embedded Real-Time Systems
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Dynamic voltage scaling for systemwide energy minimization in real-time embedded systems
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Energy management for real-time embedded systems with reliability requirements
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Voltage scheduling problem for dynamically variable voltage processors
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Scheduling Algorithms for Multiprogramming in a Hard-Real-Time Environment
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Real-time dynamic voltage scaling for low-power embedded operating systems
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Leakage aware dynamic voltage scaling for real-time embedded systems
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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