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Adaptive Scheduling on Power-Aware Managed Data-Centers Using Machine Learning

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

inferredcites →https://doi.org/10.1007/s10586-009-0077-zopenalex-snapshot
VPM tokens: virtual machine-aware power budgeting in datacenters
inferredcites →https://doi.org/10.1007/springerreference_57547openalex-snapshot
Approximation Algorithms
inferredcites →https://doi.org/10.1109/cloud.2010.32openalex-snapshot
Characterizing Cloud Federation for Enhancing Providers' Profit
inferredcites →https://doi.org/10.1109/cluster.2010.15openalex-snapshot
Energy-Aware Scheduling in Virtualized Datacenters
inferredcites →https://doi.org/10.1109/icac.2006.1662383openalex-snapshot
A Hybrid Reinforcement Learning Approach to Autonomic Resource Allocation
inferredcites →https://doi.org/10.1109/iccad.2006.320115openalex-snapshot
Dynamic Power Management Using Machine Learning
inferredcites →https://doi.org/10.1109/nca.2009.9openalex-snapshot
Introducing Virtual Execution Environments for Application Lifecycle Management and SLA-Driven Resource Distribution within Service Providers
inferredcites →https://doi.org/10.1109/pdp.2010.16openalex-snapshot
SLA-driven Elastic Cloud Hosting Provider
inferredcites →https://doi.org/10.1109/tnn.1998.712192openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1109/tnn.2004.842673openalex-snapshot
Reinforcement Learning: An Introduction
inferredcites →https://doi.org/10.1145/1233501.1233656openalex-snapshot
Dynamic power management using machine learning
inferredcites →https://doi.org/10.1145/1348583.1348590openalex-snapshot
Beyond Server Consolidation
inferredcites →https://doi.org/10.1145/1555312.1555319openalex-snapshot
GreenCloud
inferredcites →https://doi.org/10.1145/1656274.1656278openalex-snapshot
The WEKA data mining software
inferredcites →https://doi.org/10.1145/1687399.1687486openalex-snapshot
Adaptive power management using reinforcement learning
inferredcites →https://doi.org/10.1145/1791314.1791320openalex-snapshot
Optimal sleep patterns for serving delay-tolerant jobs
inferredcites →https://doi.org/10.1145/1791314.1791349openalex-snapshot
Towards energy-aware scheduling in data centers using machine learning
inferredcites →https://doi.org/10.1145/502034.502045openalex-snapshot
Managing energy and server resources in hosting centers
inferredcites →https://doi.org/10.1287/mnsc.27.1.1openalex-snapshot
The Lagrangian Relaxation Method for Solving Integer Programming Problems

What points at this work

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

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A Review on efficient thermal management of air- and liquid-cooled data centers: From chip to the cooling system
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Interference of billing and scheduling strategies for energy and cost savings in modern data centers
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Optical Data Center Networking: A Comprehensive Review on Traffic, Switching, Bandwidth Allocation, and Challenges
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inferred← citeshttps://doi.org/10.1109/cloud.2015.62openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/comst.2016.2545109openalex-snapshot
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Study on Machine Learning based Energy Efficiency in Developed Countries
inferred← citeshttps://doi.org/10.1109/icicta.2012.115openalex-snapshot
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Predictive Modeling of SLA Violations in Cloud Scheduling Using Ensemble Machine Learning
inferred← citeshttps://doi.org/10.1109/icpp.2013.102openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/sysmart.2016.7894492openalex-snapshot
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inferred← citeshttps://doi.org/10.1109/tsusc.2025.3607207openalex-snapshot
Cloud Power Meter: Bridging the Gap in Power Measurement for Heterogeneous Cloud
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Exploring Machine Learning for Thread Characterization on Heterogeneous Multiprocessors
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Machine Learning Methods for Reliable Resource Provisioning in Edge-Cloud Computing
inferred← citeshttps://doi.org/10.1145/3390605openalex-snapshot
Computing Server Power Modeling in a Data Center
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