Predicting host CPU utilization in cloud computing using recurrent neural networks
One of the major challenges facing cloud computing is to accurately predict future resource
usage for future demands. Cloud resource consumption is constantly changing, which …
usage for future demands. Cloud resource consumption is constantly changing, which …
Neural network and regression based processor load prediction for efficient scaling of grid and cloud resources
An effective and efficient resource allocation policy could benefit the cloud environment by
saving cost. To support the continuous load increase, the cloud platform needs to create …
saving cost. To support the continuous load increase, the cloud platform needs to create …
CPU workload forecasting of machines in data centers using LSTM recurrent neural networks and ARIMA models
D Janardhanan, E Barrett - 2017 12th international conference …, 2017 - ieeexplore.ieee.org
The advent of Data Science has led to data being evermore useful for an increasing number
of organizations who want to extract knowledge from it for financial and research purposes …
of organizations who want to extract knowledge from it for financial and research purposes …
Predicting host CPU utilization in the cloud using evolutionary neural networks
Abstract The Infrastructure as a Service (IaaS) platform in cloud computing provides
resources as a service from a pool of compute, network, and storage resources. One of the …
resources as a service from a pool of compute, network, and storage resources. One of the …
Multivariate workload and resource prediction in cloud computing using CNN and GRU by attention mechanism
J Dogani, F Khunjush, MR Mahmoudi… - The Journal of …, 2023 - Springer
The resources required to service cloud computing applications are dynamic and fluctuate
over time in response to variations in the volume of incoming requests. Proactive …
over time in response to variations in the volume of incoming requests. Proactive …
Workload prediction for cloud cluster using a recurrent neural network
Maximizing benefits from a cloud cluster with minimum computational costs is challenging.
An accurate prediction to cloud workload is important to maximize resources usage in the …
An accurate prediction to cloud workload is important to maximize resources usage in the …
Forecasting Resource Usage in Cloud Environments Using Temporal Convolutional Networks
M Abouelyazid - Applied Research in Artificial Intelligence and …, 2022 - researchberg.com
Background: Predicting resource usage in cloud environments is crucial for optimizing costs.
While recurrent neural networks and time series techniques are commonly used for …
While recurrent neural networks and time series techniques are commonly used for …
CPU load prediction for cloud environment based on a dynamic ensemble model
Resource performance prediction is becoming more and more important in cloud
environment, and CPU load prediction is helpful for system maintenance and application …
environment, and CPU load prediction is helpful for system maintenance and application …
Cloud client prediction models using machine learning techniques
SA Ajila, AA Bankole - 2013 IEEE 37th Annual Computer …, 2013 - ieeexplore.ieee.org
One way to proactively provision resources and meet Service Level Agreements (SLA) is by
predicting future resource demands a few minutes ahead because of Virtual Machine (VM) …
predicting future resource demands a few minutes ahead because of Virtual Machine (VM) …
BHyPreC: a novel Bi-LSTM based hybrid recurrent neural network model to predict the CPU workload of cloud virtual machine
With the advancement of cloud computing technologies, there is an ever-increasing demand
for the maximum utilization of cloud resources. It increases the computing power …
for the maximum utilization of cloud resources. It increases the computing power …