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Energy Management of Cloud Data Center Using Neural Networks

https://doi.org/10.1109/ccem.2018.00022
0 signed · 11 inferred · view as graph

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/10.1109/ipdpsw.2010.5470908openalex-snapshot
Performance evaluation of a Green Scheduling Algorithm for energy savings in Cloud computing
inferredcites →https://doi.org/10.1109/mc.2004.217openalex-snapshot
Power and energy management for server systems
inferredcites →https://doi.org/10.1109/sysose.2011.5966610openalex-snapshot
Prediction of cloud data center networks loads using stochastic and neural models
inferredcites →https://doi.org/10.1145/1064212.1064253openalex-snapshot
Managing server energy and operational costs in hosting centers
inferredcites →https://doi.org/10.1145/1065944.1065969openalex-snapshot
Energy conservation in heterogeneous server clusters

What points at this work

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

inferred← citeshttps://doi.org/10.2139/ssrn.4651157openalex-extracted
Bi-Objective Optimization of Bandwidth Resources and Energy Consumption for Efficient Virtual Machine Placement in Cloud Computing
inferred← citeshttps://doi.org/10.1080/09540091.2021.1926929openalex-snapshot
An effective scheduling in data centres for efficient CPU usage and service level agreement fulfilment using machine learning
inferred← citeshttps://doi.org/10.1109/isap48318.2019.9065937openalex-snapshot
Forecasting Power Consumption of IT Devices in a Data Center
inferred← citeshttps://doi.org/10.20944/preprints202402.0170.v1openalex-snapshot
Cloud Computing Transformed IT Organizations With Its On-Demand Model, Notably Infrastructure as a Service (IaaS). Cloud Providers Manage Extensive Physical Devices, Consuming Substantial Energy and Bandwidth for Data Traffic During Virtual Machine D
inferred← citeshttps://doi.org/10.31490/9788024844220openalex-snapshot
WOFEX 2020
inferred← citeshttps://doi.org/10.48550/arxiv.2108.01776openalex-snapshot
How Can Datacenters Join the Smart Grid to Address the Climate Crisis? Using simulation to explore power and cost effects of direct participation in the energy market
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