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Automatic Resource Provisioning: A Machine Learning Based Proactive Approach

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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/csc.2011.6138522openalex-snapshot
SLA-oriented resource provisioning for cloud computing: Challenges, architecture, and solutions
inferredcites →https://doi.org/10.1109/e-science.2005.26openalex-snapshot
Cost-Based Scheduling of Scientific Workflow Application on Utility Grids
inferredcites →https://doi.org/10.1109/fskd.2011.6019496openalex-snapshot
On a novel property of the earliest deadline first algorithm
inferredcites →https://doi.org/10.1109/icdcs.2013.20openalex-snapshot
Dynamic Cloud Resource Reservation via Cloud Brokerage
inferredcites →https://doi.org/10.1109/iwqos.1999.766475openalex-snapshot
A distributed resource management architecture that supports advance reservations and co-allocation
inferredcites →https://doi.org/10.1109/mic.2009.119openalex-snapshot
Virtual Infrastructure Management in Private and Hybrid Clouds
inferredcites →https://doi.org/10.1145/2063384.2063449openalex-snapshot
Auto-scaling to minimize cost and meet application deadlines in cloud workflows
inferredcites →https://doi.org/10.5555/2170444.2170447openalex-snapshot
Cloud-scale resource management: challenges and techniques
inferredcites →https://doi.org/10.6138/jit.2012.13.6.01openalex-snapshot
Matchmaking on Clouds and Grids

What points at this work

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

inferred← citeshttps://doi.org/10.1002/9781119912965.ch5openalex-snapshot
Resource Auto‐Scaling
inferred← citeshttps://doi.org/10.1002/spe.2627openalex-snapshot
FAHP approach for autonomic resource provisioning of multitier applications in cloud computing environments
inferred← citeshttps://doi.org/10.1007/978-3-030-74402-1_4openalex-snapshot
Estimation of Sharing Dependencies in Personal Storage Clouds Using Ensemble Learning Approaches
inferred← citeshttps://doi.org/10.1007/978-3-319-94472-2_9openalex-snapshot
Cloud Resource Allocation Based on Historical Records: An Analysis of Different Resource Estimation Functions
inferred← citeshttps://doi.org/10.1007/978-981-19-3035-5_67openalex-snapshot
Machine Learning for Cloud Resources Management—An Overview
inferred← citeshttps://doi.org/10.1007/978-981-96-1744-9_46openalex-snapshot
An Enhanced Machine Learning Model for Reliable and Secured Environment to Handle Attacks in Cloud Environment
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.120openalex-snapshot
An Auto-Scaling Framework for Controlling Enterprise Resources on Clouds
inferred← citeshttps://doi.org/10.1109/ccgrid.2015.170openalex-snapshot
Cloud-Based Machine Learning Tools for Enhanced Big Data Applications
inferred← citeshttps://doi.org/10.1109/dasc-picom-cbdcom-cyberscitech49142.2020.00119openalex-snapshot
Auto-scaling Compute and Network Resources in a Data-center
inferred← citeshttps://doi.org/10.1109/r10-htc54060.2022.9929894openalex-snapshot
Cloud Resource Usage Forecasting using Neural Network and Artificial Lizard Search Optimization
inferred← citeshttps://doi.org/10.1109/services.2015.54openalex-snapshot
Predictive Auto-scaling Techniques for Clouds Subjected to Requests with Service Level Agreements
inferred← citeshttps://doi.org/10.1186/s13677-017-0100-5openalex-snapshot
A hybrid auto-scaling technique for clouds processing applications with service level agreements
inferred← citeshttps://doi.org/10.14569/ijacsa.2016.071113openalex-snapshot
Using Multiple Seasonal Holt-Winters Exponential Smoothing to Predict Cloud Resource Provisioning
inferred← citeshttps://doi.org/10.14569/ijacsa.2017.080136openalex-snapshot
Enhancing Elasticity of SaaS Applications using Queuing Theory
inferred← citeshttps://doi.org/10.14778/3415478.3415554openalex-snapshot
AutoToken
inferred← citeshttps://doi.org/10.17762/turcomat.v12i5.2029openalex-snapshot
A Study And Analysis Of Forecasts In Resource Allocation Using ARIMA In Cloud Environment
inferred← citeshttps://doi.org/10.21275/sr23816170845openalex-snapshot
Enhancing Cloud Cost Efficiency: A Predictive ML Approach for Optimized Resource Allocation based on Infrastructure Usage and Workload Behavior
inferred← citeshttps://doi.org/10.22215/etd/2016-11444openalex-snapshot
Reactive Prediction Models for Cloud Resource Estimation
inferred← citeshttps://doi.org/10.22215/etd/2019-13845openalex-snapshot
A Data Driven Priority Scheduling technique for a Stream Processing Platform
inferred← citeshttps://doi.org/10.4108/eai.13-7-2018.163977openalex-snapshot
A Comparative study about Workload prediction from one time forecast with cyclic forecasts using ARIMA model for cloud environment
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