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Analysis of Power-Saving Techniques over a Large Multi-use Cluster

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What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1002/cpe.710openalex-snapshot
GridSim: a toolkit for the modeling and simulation of distributed resource management and scheduling for Grid computing
inferredcites →https://doi.org/10.1007/978-3-642-01671-4_11openalex-snapshot
Improving Energy-Efficiency of Grid Computing Clusters
inferredcites →https://doi.org/10.1007/s00450-010-0120-6openalex-snapshot
Simulation of power consumption of energy efficient cluster hardware
inferredcites →https://doi.org/10.1109/ccgrid.2003.1199362openalex-snapshot
Scheduling distributed applications: the SimGrid simulation framework
inferredcites →https://doi.org/10.1109/dcs.1988.12507openalex-snapshot
Condor-a hunter of idle workstations
inferredcites →https://doi.org/10.1109/glocom.2010.5683561openalex-snapshot
GreenCloud: A Packet-Level Simulator of Energy-Aware Cloud Computing Data Centers
inferredcites →https://doi.org/10.1109/greencom-cpscom.2010.131openalex-snapshot
Intelligent Power Management Over Large Clusters
inferredcites →https://doi.org/10.1177/10943420030174005openalex-snapshot
Optorsim: A Grid Simulator for Studying Dynamic Data Replication Strategies

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1002/cpe.3082openalex-snapshot
Analysis of power‐saving techniques over a large multi‐use cluster with variable workload
inferred← citeshttps://doi.org/10.1002/cpe.3804openalex-snapshot
HTC‐Sim: a trace‐driven simulation framework for energy consumption in high‐throughput computing systems
inferred← citeshttps://doi.org/10.1002/spe.2168openalex-snapshot
Inter‐Cloud architectures and application brokering: taxonomy and survey
inferred← citeshttps://doi.org/10.1007/978-3-642-28675-9_14openalex-snapshot
Developing a Cost-Effective Virtual Cluster on the Cloud
inferred← citeshttps://doi.org/10.1016/j.entcs.2014.12.013openalex-snapshot
Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
inferred← citeshttps://doi.org/10.1016/j.future.2014.07.002openalex-snapshot
Comparison of a cost-effective virtual cloud cluster with an existing campus cluster
inferred← citeshttps://doi.org/10.1016/j.suscom.2014.08.014openalex-snapshot
Reduction of wasted energy in a volunteer computing system through Reinforcement Learning
inferred← citeshttps://doi.org/10.1109/cgc.2012.111openalex-snapshot
Reducing the Number of Miscreant Tasks Executions in a Multi-use Cluster
inferred← citeshttps://doi.org/10.1109/tsc.2018.2797910openalex-snapshot
Optimized Contract-Based Model for Resource Allocation in Federated Geo-Distributed Clouds
inferred← citeshttps://doi.org/10.1145/3053600.3053612openalex-snapshot
Using Machine Learning in Trace-driven Energy-Aware Simulations of High-Throughput Computing Systems
inferred← citeshttps://doi.org/10.1145/3185768.3186313openalex-snapshot
Evaluation of Energy Consumption of Replicated Tasks in a Volunteer Computing Environment
inferred← citeshttps://doi.org/10.5220/0004958302620267openalex-snapshot
On Energy-efficient Checkpointing in High-throughput Cycle-stealing Distributed Systems
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