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Reclaiming the energy of a schedule: models and algorithms

https://doi.org/10.1002/cpe.2889
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Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

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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/s00224-007-9070-1openalex-snapshot
Speed Scaling of Tasks with Precedence Constraints
inferredcites →https://doi.org/10.1017/cbo9780511804441openalex-snapshot
Convex Optimization
inferredcites →https://doi.org/10.1109/4.535411openalex-snapshot
Energy dissipation in general purpose microprocessors
inferredcites →https://doi.org/10.1109/54.914613openalex-snapshot
Software energy reduction techniques for variable-voltage processors
inferredcites →https://doi.org/10.1109/aspdac.2002.994932openalex-snapshot
Battery-driven system design: a new frontier in low power design
inferredcites →https://doi.org/10.1109/ccgrid.2007.85openalex-snapshot
Power Aware Scheduling of Bag-of-Tasks Applications with Deadline Constraints on DVS-enabled Clusters
inferredcites →https://doi.org/10.1109/ccgrid.2010.19openalex-snapshot
Towards Energy Aware Scheduling for Precedence Constrained Parallel Tasks in a Cluster with DVFS
inferredcites →https://doi.org/10.1109/icess.2009.50openalex-snapshot
On-Line and Off-Line DVS for Fixed Priority with Preemption Threshold Scheduling
inferredcites →https://doi.org/10.1109/icicdt.2008.4567241openalex-snapshot
A Localized Power Control mixing hopping and Super Cut-Off techniques within a GALS NoC
inferredcites →https://doi.org/10.1109/ipdps.2003.1213225openalex-snapshot
Energy-aware partitioning for multiprocessor real-time systems
inferredcites →https://doi.org/10.1109/ipdps.2005.378openalex-snapshot
Reducing Power with Performance Constraints for Parallel Sparse Applications
inferredcites →https://doi.org/10.1109/ipdps.2006.1639597openalex-snapshot
Profile-based optimization of power performance by using dynamic voltage scaling on a PC cluster
inferredcites →https://doi.org/10.1109/iscas.2001.922388openalex-snapshot
An LSI for V/sub DD/-hopping and MPEG4 system based on the chip
inferredcites →https://doi.org/10.1109/rtcsa.2007.37openalex-snapshot
Energy-Efficient Scheduling for Real-Time Systems on Dynamic Voltage Scaling (DVS) Platforms
inferredcites →https://doi.org/10.1109/sc.2005.57openalex-snapshot
Performance-constrained Distributed DVS Scheduling for Scientific Applications on Power-aware Clusters
inferredcites →https://doi.org/10.1109/sfcs.1995.492493openalex-snapshot
A scheduling model for reduced CPU energy
inferredcites →https://doi.org/10.1109/vlsic.2008.4586002openalex-snapshot
An asynchronous power aware and adaptive NoC based circuit
inferredcites →https://doi.org/10.1145/1206035.1206038openalex-snapshot
Speed scaling to manage energy and temperature
inferredcites →https://doi.org/10.1145/1314299.1314300openalex-snapshot
Minimizing expected energy consumption in real-time systems through dynamic voltage scaling
inferredcites →https://doi.org/10.1145/1529255.1529260openalex-snapshot
Methods for power optimization in SOC-based data flow systems
inferredcites →https://doi.org/10.1145/280756.280894openalex-snapshot
Voltage scheduling problem for dynamically variable voltage processors
inferredcites →https://doi.org/10.1145/337292.337785openalex-snapshot
Run-time voltage hopping for low-power real-time systems
inferredcites →https://doi.org/10.1145/513918.513966openalex-snapshot
Task scheduling and voltage selection for energy minimization
inferredcites →https://doi.org/10.1145/980152.980157openalex-snapshot
Temperature-aware microarchitecture
inferredcites →https://doi.org/10.1145/996566.996650openalex-snapshot
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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Modeling and analyzing the energy consumption of fork‐join‐based task parallel programs
inferred← citeshttps://doi.org/10.1002/cpe.3592openalex-snapshot
An adaptive deadline constrained energy‐efficient scheduling heuristic for workflows in clouds
inferred← citeshttps://doi.org/10.1007/978-1-4939-2092-1_2openalex-snapshot
Energy-Aware Algorithms for Task Graph Scheduling, Replica Placement and Checkpoint Strategies
inferred← citeshttps://doi.org/10.1007/978-3-032-35251-4_9openalex-snapshot
How Much Slack is in a Multiprocessor Schedule?
inferred← citeshttps://doi.org/10.1007/978-3-319-75178-8_29openalex-snapshot
Approximation Algorithm for Scheduling a Chain of Tasks on Heterogeneous Systems
inferred← citeshttps://doi.org/10.1016/j.cor.2023.106212openalex-snapshot
Optimising makespan and energy consumption in task scheduling for parallel systems
inferred← citeshttps://doi.org/10.1016/j.jpdc.2015.04.001openalex-snapshot
Scheduling for energy minimization on restricted parallel processors
inferred← citeshttps://doi.org/10.1016/j.jpdc.2015.08.004openalex-snapshot
Energy-efficient task scheduling for multi-core platforms with per-core DVFS
inferred← citeshttps://doi.org/10.1109/cscwd.2012.6221876openalex-snapshot
An energy efficient clustering-based scheduling algorithm for parallel tasks on homogeneous DVS-enabled clusters
inferred← citeshttps://doi.org/10.1109/hipc.2012.6507482openalex-snapshot
Energy-aware scheduling under reliability and makespan constraints
inferred← citeshttps://doi.org/10.1109/icassp.2019.8682317openalex-snapshot
Convex Energy Optimization of Streaming Applications for MPSoCs
inferred← citeshttps://doi.org/10.1109/icpp.2014.47openalex-snapshot
An Energy-Efficient Task Scheduler for Multi-core Platforms with Per-core DVFS Based on Task Characteristics
inferred← citeshttps://doi.org/10.1109/icppw.2014.26openalex-snapshot
Energy-Aware Workflow Scheduling Using Frequency Scaling
inferred← citeshttps://doi.org/10.1109/igcc.2014.7039158openalex-snapshot
FoREST-mn: Runtime DVFS beyond communication slack
inferred← citeshttps://doi.org/10.1109/ipdpsw.2013.43openalex-snapshot
Discrete Min-Energy Scheduling on Restricted Parallel Processors
inferred← citeshttps://doi.org/10.1109/ipdpsw63119.2024.00166openalex-snapshot
State-Space Search to Find Energy-Aware Pareto-Efficient Optimal Task Schedules
inferred← citeshttps://doi.org/10.1109/pdp.2015.73openalex-snapshot
DVFS Governor for HPC: Higher, Faster, Greener
inferred← citeshttps://doi.org/10.1109/pdp.2016.15openalex-snapshot
Energy Efficient Scheduling of Real Time Signal Processing Applications through Combined DVFS and DPM
inferred← citeshttps://doi.org/10.1145/2755977openalex-snapshot
The impact of information technology on energy consumption and carbon emissions
inferred← citeshttps://doi.org/10.1201/9780429171529-59openalex-snapshot
Scheduling for Large-Scale Systems
inferred← citeshttps://doi.org/10.70675/224a8f02zb8edz46f0z9797zaf0318436df6openalex-snapshot
Resilient and energy-efficient scheduling algorithms at scale
inferred← citeshttps://doi.org/10.70675/979959fcz8a8ez4103z9f25z28899d66f9e2openalex-snapshot
Scheduling for Reliability : complexity and Algorithms
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