Intelligent Horizontal Autoscaling in Edge Computing using a ...

We propose an Intelligent Horizontal Proactive Autoscaling (IHPA) mechanism that leverages resource usage metrics of processing edge nodes such as CPU, RAM and ...

Intelligent Horizontal Autoscaling in Edge Computing Using a ...

In this direction, we propose an Intelligent Horizontal Proactive Autoscaling (IHPA) mechanism that leverages resource usage metrics of ...

Request PDF | Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network | Edge computing is characterised by varying workload ...

Intelligent Horizontal Autoscaling in Edge Computing using a ...

Semantic Scholar extracted view of "Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network" by John Violos et al.

Intelligent Horizontal Autoscaling in Edge Computing Using a ...

Request PDF | On Jan 1, 2022, John Violos and others published Intelligent Horizontal Autoscaling in Edge Computing Using a Double Tower Neural Network ...

Intelligent Horizontal Autoscaling in Edge Computing using a ... - OUCI

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network · John Violos · Stylianos Tsanakas · Theodoros Theodoropoulos · Aris ...

Intelligent Horizontal Autoscaling in Edge Computing Using a ...

Intelligent Horizontal Autoscaling in Edge Computing Using a Double Tower Neural Network · John Violos · Stylianos Tsanakas · Theodoros Theodoropoulos · Aris ...

Horizontal Auto-Scaling in Edge Computing Environment using ...

Abstract: A major challenge in edge computing platforms for container-based applications is dealing with the dynamic workload.

STsanakas/Horizontal-Autoscaling-Edge-Computing-DTNN - GitHub

Intelligent Horizontal Autoscaling in Edge Computing using a Double Tower Neural Network ... The code expects a trainX list which consists of the numpy RNN input ...

Intelligent horizontal autoscaling in edge computing using a double ...

« Intelligent horizontal autoscaling in edge computing using a double tower neural network ». Computer Networks, vol. 217. Compte des citations dans Scopus ...

Horizontal Auto-Scaling for Multi-Access Edge Computing Using ...

Multi-Access Edge Computing (MEC) has emerged as a promising new paradigm allowing low latency access to services deployed on edge servers ...

Smart HPA: A Resource-Efficient Horizontal Pod Auto-scaler ... - arXiv

To simplify scaling operations in microservice architectures, container orchestration platforms such as Kubernetes feature Horizontal Pod Auto-scalers (HPAs) ...

Application of Fuzzy Logic for Horizontal Scaling in Kubernetes ...

The same article suggested future directions for horizontal pod scaling, such as the development of more adaptive strategies, integration with edge computing ...

Node-Based Horizontal Pod Autoscaler in KubeEdge-Based Edge ...

Abstract: KubeEdge (KE) is a container orchestration platform for deploying and managing containerized IoT applications in an edge computing ...

Proactive auto-scaling for edge computing systems with Kubernetes

In this chapter, firstly the Horizontal Pod Autoscaler is introduced in detail. Then, related works about the improvement of autoscaling techniques will be.

proactive autoscaling for edge computing systems - arXiv

For cloud computing, Horizontal Pod Autoscaler (HPA) is widely used as a native service provided by Kubernetes, the de facto cloud framework on ...

Online machine learning for auto-scaling in the edge computing ...

At the Confluence of Artificial Intelligence and Edge Computing in IoT-Based Applications: A Review and New Perspectives · Computer Science, Engineering. Italian ...

Auto-Scaling Techniques in Cloud Computing: Issues and Research ...

Scalability refers to a system's ability to handle increasing workloads by adding hardware resources [27], either horizontally (scaling out) by adding nodes or ...

Whitepapers - Avesha Resources

Smart Scaler is an essential tool in any Kubernetes toolbox. While HPA (Horizontal Pod Autoscaling) by itself is a significant improvement over cloud auto ...

5G Edge infrastructure auto-scaling with Verizon ThingSpace and ...

In the case of mobile edge computing involving large numbers of mobile IoT devices, device proximity to edge computing resources could be the ...