Toward Optimal Load Prediction and Customizable Autoscaling ...

In this paper, we suggest a new proactive scaling scheme based on deep learning approaches to make up for HPA's inadequacies as the default autoscaler in ...

(PDF) Toward Optimal Load Prediction and Customizable ...

outperforms the existing Horizontal Pod Autoscaler (HPA) approach. Keywords: Docker; Kubernetes; cloud computing; load prediction; autoscaling.

Toward Optimal Load Prediction and Customizable Autoscaling

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Author & abstract; Download; 2 Citations; Related works & more; Corrections ...

Toward optimal load prediction and customizable autoscaling ...

In this paper, we suggest a new proactive scaling scheme based on deep learning approaches to make up for HPA's inadequacies as the default autoscaler in ...

Toward Optimal Load Prediction and Customizable Autoscaling ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Subrota Kumar Mondal ([email protected]), Xiaohai Wu, ...

Toward Optimal Load Prediction and Customizable Autoscaling ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes · Subrota Kumar Mondal · Xiaohai Wu · Hussain Mohammed Dipu Kabir · Hong-Ning Dai ...

Untitled

Toward Optimal Load Prediction and Customizable Autoscaling ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Mathematics Pub Date : 2023-06-12. DOI : 10.3390/math11122675.

Toward Optimal Load Prediction and Customizable Autoscaling ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Subrota Kumar Mondal*, Xiaohai Wu, Hussain Mohammed Dipu Kabir, Hong Ning ...

Subrota Kumar Mondal on LinkedIn: Toward Optimal Load ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes.

Toward Optimal Load Prediction and Customizable ... - exaly.com

Type: (null) Journal: Mathematics Year: 2023. Pages: 11, 2675. Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes ...

Free Full-Text | Toward Optimal Load Prediction and Customizable ...

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Mathematics 2023, 11, 2675. https://doi.org/10.3390/math11122675. AMA ...

Which Metrics Are Best For Autoscaling In Kubernetes - Consensus

... prediction accuracy and stability, leading to better resource utilization ... load than CPU utilization. By using language runtime-specific metrics ...

How to configure autoscaling to handle load spikes? | AWS re:Post

You can use predictive auto-scaling, but because the algorithm is data-driven, and you would need to review if PHPA is the best fit.

Scaling based on predictions - Compute Engine - Google Cloud

You can use schedule-based autoscaling to request capacity for one-time or other load patterns. Suitable workloads. Predictive autoscaling works best if your ...

Use predictive autoscale to scale out before load demands in virtual ...

Enable predictive autoscale or forecast only with the Azure portal · Go to the Virtual machine scale set screen and select Scaling. · Under the Custom autoscale ...

Optimizing Load Balancing and Autoscaling for Large Language ...

... to further the education and advancement of cloud native computing. Learn more at https://kubecon.io Optimizing Load Balancing and Autoscaling ...

OUCI

Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes. Subrota Kumar Mondal, Xiaohai Wu, Hussain Mohammed Dipu Kabir, Hong-Ning ...

LSTM Prediction (50 steps). | Download Scientific Diagram

from publication: Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes | Most enterprise customers now choose to divide a large ...

Advances and Predictions in Predictive Auto-Scaling and ...

Add to Library. Alert. 1 Excerpt. Toward Optimal Load Prediction and Customizable Autoscaling Scheme for Kubernetes · S. MondalXiaohai Wu +4 authors. Ting Wang.