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QoS-Aware scheduling in heterogeneous datacenters with paragon
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
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Data Mining: Practical Machine Learning Tools and Techniques
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Last Level Cache (LLC) Performance of Data Mining Workloads On a CMP - A Case Study of Parallel Bioinformatics Workloads
inferredcites →https://doi.org/10.1109/icac.2007.16openalex-snapshot
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inferredcites →https://doi.org/10.1109/ictai.2008.97openalex-snapshot
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inferredcites →https://doi.org/10.1109/iiswc.2006.302743openalex-snapshot
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inferredcites →https://doi.org/10.1109/iiswc.2013.6704667openalex-snapshot
iBench: Quantifying interference for datacenter applications
inferredcites →https://doi.org/10.1109/l-ca.2011.14openalex-snapshot
Heterogeneity in “Homogeneous” Warehouse-Scale Computers: A Performance Opportunity
inferredcites →https://doi.org/10.1109/l-ca.2012.10openalex-snapshot
The Netflix Challenge: Datacenter Edition
inferredcites →https://doi.org/10.1109/mm.2006.73openalex-snapshot
IPC Considered Harmful for Multiprocessor Workloads
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SimFlex: Statistical Sampling of Computer System Simulation
inferredcites →https://doi.org/10.1109/mm.2010.73openalex-snapshot
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Power management of online data-intensive services
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Warehouse-Scale Computing: Entering the Teenage Decade
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Introduction to Modern Cryptography
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SoK: Function-As-A-Service: From An Application Developer’s Perspective
inferred← citeshttps://doi.org/10.5121/ijait.2016.6401openalex-snapshot
Systematic Literature Review on Resource Allocation and Resource Scheduling in Cloud Computing
inferred← citeshttps://doi.org/10.5555/3014904.3015020openalex-snapshot
Multi-resource fair sharing for datacenter jobs with placement constraints
inferred← citeshttps://doi.org/10.70675/6822045fz1e29z401ez88a2z0daa72bb4413openalex-snapshot
Neural-Based Modeling for Performance Tuning of Cloud Data Analytics
inferred← citeshttps://doi.org/10.70675/716f84fazde9dz487azb475z54b0a563571aopenalex-snapshot
Design de l'expérience utilisateur dans les machines virtuelles : l'approche de l'allocation de ressources prédictive pour les infrastructures cloud
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