- A deep learning approach for VM workload prediction in the cloud🔍
- Workload Prediction of Virtual Machines Using Integrated Deep ...🔍
- Deep Learning Approach for Workload Prediction and Balancing in ...🔍
- A workload prediction model for reducing service level agreement ...🔍
- An Efficient Deep Learning Model to Predict Cloud Workload for ...🔍
- Machine Learning Based Workload Prediction in Cloud Computing🔍
- Technical Study of Deep Learning in Cloud Computing for Accurate ...🔍
- Hybrid Machine Learning Model for Load Prediction in Cloud ...🔍
A deep learning approach for VM workload prediction in the cloud
A deep learning approach for VM workload prediction in the cloud
A deep learning approach for VM workload prediction in the cloud. Abstract: In order to manage the resources in cloud efficiently, ensure the performance of ...
A deep learning approach for VM workload prediction in the cloud
A novel method for predicting the CPU utilization of VMs in a cloud computing environment. The proposed approach utilizes a deep learning model.
A deep learning approach for VM workload prediction in the cloud
Experimental results show that the proposed approach for VM workload prediction based on deep learning improves the workload prediction performance compared ...
A deep learning approach for VM workload prediction in the cloud
In this paper, a new approach for VM workload prediction based on deep learning was proposed. A deep learning prediction model was designed with a deep belief ...
Workload Prediction of Virtual Machines Using Integrated Deep ...
Accurate virtual machine (VM) workload forecasting is the most critical task in appropriately managing cloud resources such as memory and central processing ...
Deep Learning Approach for Workload Prediction and Balancing in ...
Cloud Computing voted as one of the most revolutionized technologies serving huge user demand engrosses a prominent place in research.
Workload Prediction of Virtual Machines Using Integrated Deep ...
Workload Prediction of Virtual Machines Using Integrated Deep Learning Approaches over Cloud Data Centers ; Fig. 1. The Internal Architecture of ...
Deep Learning Approach for Workload Prediction and Balancing in ...
Due to the dynamic provisioning and management capabilities of virtual machines (VMs) [10], challenges in cloud scheduling generally manifest in ...
esDNN: Deep Neural Network Based Multivariate Workload ...
An efficient supervised learning-based Deep Neural Network (esDNN) algorithm is proposed for cloud workload prediction to learn and capture the features of ...
A workload prediction model for reducing service level agreement ...
[25] proposed a Recurrent Neural Network (RNN) based approach for time-series prediction. Gao et al. [26] a deep learning approach consists of a Deep Belief ...
An Efficient Deep Learning Model to Predict Cloud Workload for ...
An efficient deep learning model based on the canonical polyadic decomposition is proposed to predict the cloud workload for industry informatics and ...
Machine Learning Based Workload Prediction in Cloud Computing
[16] proposed an approach using NN and Linear. Regression algorithms to predict the future CPU load of a VM and they have concluded that NN surpasses Linear ...
Technical Study of Deep Learning in Cloud Computing for Accurate ...
Workload prediction using Deep Learning (DL) is a popular method of inferring complicated multidimensional data of cloud environments to meet this requirement.
Hybrid Machine Learning Model for Load Prediction in Cloud ...
For the Hybrid LSTM and AdaBoost model, a novel approach is proposed for accurate VM load prediction in cloud environments. The proposed model combines the ...
A machine learning approach to predict Virtual Machine Workload
More companies have been moving to the cloud recently, due to the several advantages that cloud provides such as elastic-.
Deep CNN and LSTM Approaches for Efficient Workload Prediction ...
We proposed a Model based on Deep Convolutional Neural Networks (DCNN) and Long Short-Term Memory (LSTM) for handling SLAs in the cloud from both the ...
Deep Neural Network Based Multivariate Workload Prediction in ...
The current dominant work for cloud workload prediction is based on regression approaches or recurrent neural networks, which fail to capture the long-term ...
A machine learning approach to predict Virtual Machine Workload
Microsoft Azure and Google. Cloud don't provide this tool and only recently Amazon AWS did. Since there isn't a concrete and right way of predicting the ...
A hybrid cloud load balancing and host utilization prediction method ...
This research presents a hybrid model using deep learning with Particle Swarm Intelligence and Genetic Algorithm (DPSO-GA) for dynamic workload provisioning in ...
A hybrid cloud load balancing and host utilization prediction method ...
Deep Learning methods are widely used in existing research on cloud load balancing. However, there is still a problem with acquiring noisy ...