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Using ELM Techniques to Predict Data Centre VM Requests
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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/spe.2231openalex-snapshot
CPU load prediction for cloud environment based on a dynamic ensemble model
inferredcites →https://doi.org/10.1007/978-94-007-7262-5_65openalex-snapshot
A Predictive Method for Workload Forecasting in the Cloud Environment
inferredcites →https://doi.org/10.1016/j.future.2012.05.009openalex-snapshot
Dynamic, behavioral-based estimation of resource provisioning based on high-level application terms in Cloud platforms
inferredcites →https://doi.org/10.1016/j.neucom.2005.12.126openalex-snapshot
Extreme learning machine: Theory and applications
inferredcites →https://doi.org/10.1016/s1005-8885(14)60302-2openalex-snapshot
Virtual machine placement optimizing to improve network performance in cloud data centers
inferredcites →https://doi.org/10.1109/cloud.2013.102openalex-snapshot
Optimal Pricing and Service Provisioning Strategies in Cloud Systems: A Stackelberg Game Approach
inferredcites →https://doi.org/10.1109/compsac.2013.21openalex-snapshot
Cloud Client Prediction Models Using Machine Learning Techniques
inferredcites →https://doi.org/10.1109/iadcc.2014.6779441openalex-snapshot
Task shape classification and workload characterization of google cluster trace
inferredcites →https://doi.org/10.1109/ifsa-nafips.2013.6608495openalex-snapshot
An online fuzzy Decision Support System for Resource Management in cloud environments
inferredcites →https://doi.org/10.1109/ihtc.2015.7238043openalex-snapshot
Using the Extreme Learning Machine (ELM) technique for heart disease diagnosis
inferredcites →https://doi.org/10.1109/infcomw.2014.6849263openalex-snapshot
Energy-efficient cloud resource management
inferredcites →https://doi.org/10.1109/infcomw.2015.7179406openalex-snapshot
Efficient datacenter resource utilization through cloud resource overcommitment
inferredcites →https://doi.org/10.1109/ispdc.2009.8openalex-snapshot
CPU Load Prediction Model for Distributed Computing
inferredcites →https://doi.org/10.1109/scc.2012.47openalex-snapshot
RPPS: A Novel Resource Prediction and Provisioning Scheme in Cloud Data Center
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/10.1109/tcc.2014.2314661openalex-snapshot
Analysis, Modeling and Simulation of Workload Patterns in a Large-Scale Utility Cloud
inferredcites →https://doi.org/10.1109/tcc.2014.2350475openalex-snapshot
Workload Prediction Using ARIMA Model and Its Impact on Cloud Applications’ QoS
inferredcites →https://doi.org/10.1109/tnn.2009.2024147openalex-snapshot
Error Minimized Extreme Learning Machine With Growth of Hidden Nodes and Incremental Learning
inferredcites →https://doi.org/10.1109/tnsm.2015.2436408openalex-snapshot
Energy-Efficient Resource Allocation and Provisioning Framework for Cloud Data Centers
inferredcites →https://doi.org/10.1109/tsmcb.2011.2168604openalex-snapshot
Extreme Learning Machine for Regression and Multiclass Classification
inferredcites →https://doi.org/10.1155/2015/129021openalex-snapshot
Deep Extreme Learning Machine and Its Application in EEG Classification
inferredcites →https://doi.org/10.1155/2015/919805openalex-snapshot
Self-Adaptive Prediction of Cloud Resource Demands Using Ensemble Model and Subtractive-Fuzzy Clustering Based Fuzzy Neural Network
inferredcites →https://doi.org/10.4304/jnw.8.11.2506-2511openalex-snapshot
A Fusion Model for CPU Load Prediction in Cloud Computing
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.7636openalex-snapshot
An energy‐efficient method of resource allocation based on request prediction in multiple cloud data centers
inferred← citeshttps://doi.org/10.1007/978-3-319-39510-4_52openalex-snapshot
Multivariate Time Series ELM for Cloud Data Centre Workload Prediction
inferred← citeshttps://doi.org/10.1007/s10586-021-03232-4openalex-snapshot
OPSA: an optimized prediction based scheduling approach for scientific applications in cloud environment
inferred← citeshttps://doi.org/10.1007/s10586-022-03747-4openalex-snapshot
GMM-LSTM: a component driven resource utilization prediction model leveraging LSTM and gaussian mixture model
inferred← citeshttps://doi.org/10.1007/s11227-021-03701-yopenalex-snapshot
Efficient resource utilization using multi-step-ahead workload prediction technique in cloud
inferred← citeshttps://doi.org/10.1007/s42979-020-0078-9openalex-snapshot
A Survey on the Current Challenges of Energy-Efficient Cloud Resources Management
inferred← citeshttps://doi.org/10.1016/j.cosrev.2021.100366openalex-snapshot
A survey of data center consolidation in cloud computing systems
inferred← citeshttps://doi.org/10.1016/j.future.2017.09.049openalex-snapshot
A learning automata-based ensemble resource usage prediction algorithm for cloud computing environment
inferred← citeshttps://doi.org/10.1016/j.jnca.2022.103405openalex-snapshot
Machine learning (ML)-centric resource management in cloud computing: A review and future directions
inferred← citeshttps://doi.org/10.1016/j.jpdc.2019.04.010openalex-snapshot
Optimistic scheduling with service guarantees
inferred← citeshttps://doi.org/10.1109/ccwc.2019.8666614openalex-snapshot
Real-Time Energy-Conserving VM-Provisioning Framework for Cloud-Data Centers
inferred← citeshttps://doi.org/10.1109/confluence.2018.8442524openalex-snapshot
Reverse Engineering Technique (RET) to Predict Resource Allocation in a Google Cloud System
inferred← citeshttps://doi.org/10.1109/dsd.2017.42openalex-snapshot
Two-Phase Interarrival Time Prediction for Runtime Resource Management
inferred← citeshttps://doi.org/10.1109/hydcon48903.2020.9242774openalex-snapshot
Resource Prediction Using Hybrid Double Seasonal Decomposition in Fog Integrated Cloud
inferred← citeshttps://doi.org/10.1109/icbdsc.2016.7460373openalex-snapshot
Energy-consumption clustering in cloud data centre
inferred← citeshttps://doi.org/10.1109/icccn49398.2020.9209639openalex-snapshot
Fast-Fourier-Forecasting Resource Utilisation in Distributed Systems
inferred← citeshttps://doi.org/10.1109/ithings/greencom/cpscom/smartdata.2019.00096openalex-snapshot
An Extensible Toolkit for Resource Usage Prediction in Clouds
inferred← citeshttps://doi.org/10.1109/norchip.2017.8124965openalex-snapshot
Workload prediction for runtime resource management
inferred← citeshttps://doi.org/10.1109/sbac-pad.2017.19openalex-snapshot
Cloud Workload Prediction and Generation Models
inferred← citeshttps://doi.org/10.1186/s13677-018-0111-xopenalex-snapshot
Proactive dynamic virtual-machine consolidation for energy conservation in cloud data centres
inferred← citeshttps://doi.org/10.2174/2210327910666201216123246openalex-snapshot
CPU-based Prediction with Self Organizing Map in Dynamic Cloud Data Centers
inferred← citeshttps://doi.org/10.23919/icitst.2017.8356346openalex-snapshot
CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models
inferred← citeshttps://doi.org/10.32920/17139047openalex-snapshot
An Energy-Aware Real-Time VM-Provisioning Framework For Heterogeneous Data Centres
inferred← citeshttps://doi.org/10.32920/17139047.v1openalex-snapshot
An Energy-Aware Real-Time VM-Provisioning Framework For Heterogeneous Data Centres
inferred← citeshttps://doi.org/10.3384/diss.diva-140758openalex-snapshot
System-Level Analysis and Design under Uncertainty
inferred← citeshttps://doi.org/10.37394/23204.2020.19.5openalex-snapshot
Intelligent Agent-based Technique For Virtual Machine Resource Allocation For Energy-Efficient Cloud Data Centres
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