Proactive auto|scaling technique for web applications in container ...

Proactive auto-scaling technique for web applications in container ...

Proactive auto-scaling techniques in Kubernetes improve utilization by allocating resources based on future workload prediction. However, prediction models run ...

Proactive Auto-Scaling Technique for Web Applications in Container ...

Proactive auto-scaling techniques in Kubernetes improve utilization by allocating resources based on future workload prediction. However, ...

Proactive auto-scaling technique for web applications in container ...

Proactive auto-scaling techniques in Kubernetes improve utilization by allocating resources based on future workload prediction. However, ...

Proactive Auto-Scaling Technique for Web Applications in Container ...

Proactive Auto-Scaling Technique for Web Applications in Container-Based Edge Computing Using Federated Learning Model ... To read the full-text of this research, ...

Predictive Autoscaling for Containerized Applications Using ...

An auto-scaling technique with burst awareness for containerized applications is proposed in this research. This innovative method optimizes container ...

Proactive Container Auto-scaling for Cloud Native Machine ...

INTRODUCTION. Containers provide a lightweight, fast and isolated in- frastructure to run applications. ... web services or databases. When machine learning ...

K-AGRUED: A Container Autoscaling Technique for Cloud-based ...

In response to the above shortcomings, this paper presents a proactive autoscaling method for web applications in Kubernetes using an attention- ...

Proactive autoscaling for edge computing systems with kubernetes

In this work, we propose a Proactive Pod Autoscaler (PPA) for edge computing applications on Kubernetes. The proposed PPA is able to forecast workloads in ...

Study on proactive auto scaling for instance through the prediction of ...

Least Traffic Load Balancing (LTLB) algorithm is proposed to solve network traffic imbalance problem and is applied to the Docker based Container ...

(PDF) Proactive Auto-Scaling for Service Function Chains in Cloud ...

Auto-scaler system enables high Quality of Service (QoS) with low cost to survive in a competitive market. Indeed, the auto-scaling of Virtual Network ...

Proactive auto-scaling for edge computing systems with Kubernetes

To better manage container-based cloud applications, the Cloud Native Computing Foundation (CNCF) proposed the concept of cloud native applications, which aims ...

Proactive Autoscaling for Cloud-Native Applications using Machine ...

A proactive autoscaling framework using a learning-based forecast model to dynamically adjust the resource pool, horizontally (number of replicas) and ...

A case study of proactive auto-scaling for an ecommerce workload

The auto-scaling techniques use this elasticity to automatically adjust resources based on the application demand running in the cloud ...

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

A proactive auto-scaling mechanism [31], can use past data on workload patterns. Hence, by using a predictive technique on these data, they can estimate the ...

What is AutoScaling? Explained in Detail (Updated) - Middleware.io

Suitable for applications where server loads are more or less predictable. Predictive or proactive autoscaling schedules additional servers to ...

proactive autoscaling for edge computing systems - arXiv

including computing units, storage, network devices, and even services and applications. Cloud computing has proven to be successful in both ...

Dynamic Multi-level Auto-scaling Rules for Containerized Applications

Container-based cloud applications require sophisticated auto-scaling methods in order to operate under different workload conditions. The choice of an auto- ...

Horizontal vs. Vertical Scaling: HPA, VPA & Beyond | nOps

Kubernetes offers an optimal environment for orchestrating containerized applications, featuring robust tools to optimize resource usage and ...

Optimizing Resource Allocation in Kubernetes: A Hybrid Auto ... - DiVA

... storage, applications, and services) through on-demand network access. ... benefits of reactive and proactive scaling strategies. ... auto-scaling technique.

Deep Learning-Based Autoscaling Using Bidirectional Long Short ...

Kubernetes, a well-known container orchestration for deploying web applications on cloud systems, offers an automatic scaling feature to meet clients' ever- ...