Predictive Hybrid Autoscaling for Containerized Applications

This paper proposes a hybrid autoscaling method with burst awareness for containerized applications. This new approach considers a combination ...

(PDF) Predictive Hybrid Autoscaling for Containerized Applications

This paper proposes a hybrid autoscaling method with burst awareness for containerized applications. This new approach considers a combination ...

Kuber- netes, the most popular container orchestrator, attempts to address the scaling problem by providing both Horizontal Pod. Autoscaler (HPA ...

Predictive Hybrid Autoscaling for Containerized Applications

Predictive Hybrid Autoscaling for Containerized Applications · Vu, Dinh-Dai · Tran, Minh-Ngoc · Kim, Younghan. Abstract.

(PDF) Dynamic Auto-scaling of containerized applications in Hybrid ...

As containerized applications become prevalent across hybrid and multi-cloud environments, these bring additional challenges in managing application quality ...

Predictive Hybrid Autoscaling for Containerized Applications

Predictive Hybrid Autoscaling for Containerized Applications · Abstract · Authors · BibTeX · References · Bibliographies · Reviews · Related ...

PASS: Predictive Auto-Scaling System for Large-scale Enterprise ...

We confront two challenges in the management of a vast and diverse array of online web applications deployed on enterprise-grade ...

Comparison of Autoscaling Frameworks for Containerised Machine ...

Kim, “Predictive hybrid autoscaling for containerized applications,” IEEE Access, vol. 10, pp. 109 768–109 778,. 2022. [9] N. Marie-Magdelaine and T. Ahmed ...

Efficient evolutionary optimization using predictive auto-scaling in ...

In this regard, we present a cloud-native, container-based distributed optimization framework that enables efficient and cost-effective optimization over ...

[PDF] Auto-scaling Policies to Adapt the Application Deployment in ...

This paper proposes a hybrid autoscaling method with burst awareness for containerized applications that uses a predictive method based on the machine ...

Burst-Aware Predictive Autoscaling for Containerized Microservices

Abstract—Autoscaling methods are used for cloud-hosted applications to dynamically scale the allocated resources for guaranteeing Quality- of-Service (QoS).

Auto-scaling containerized cloud applications: A workload-driven ...

The framework offers a) reactive auto-scaling using threshold-based rules to avoid application failures during intensive workload tasks and b) proactive auto- ...

Toward Optimal Load Prediction and Customizable Autoscaling ...

To adapt to frequently changing user requests, it offers an automated scaling method, Horizontal Pod Autoscaler (HPA), that can scale itself based on the ...

Multi-Level ML Based Burst-Aware Autoscaling for SLO Assurance ...

Autoscaling is a technology to automatically scale the resources provided to their applications without human intervention to guarantee ...

Auto-Scaling Containerized Applications in Geo-Distributed Clouds

To guarantee the application performance in terms of the average response time of global user requests container scaling must work effectively across geo- ...

Hybrid Autoscaling Strategy on Container-Based Cloud Platform

References · [1]. Balla, D., Simon, C., & Maliosz, M. (2020). Adaptive scaling of Kubernetes pods. · [2]. Do, & Kim, . (n.d.). · [3]. Horizontal ...

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

It then progresses to explore various approaches for scaling applications and different techniques for workload prediction ... achieving optimal performance for ...

Scaling based on predictions - Compute Engine - Google Cloud

Predictive autoscaling takes into account your application's initialization time and scales out in advance of predicted increases in usage, helping to ensure ...

Adaptive scaling of Kubernetes pods - Semantic Scholar

This paper proposes a hybrid autoscaling method with burst awareness for containerized applications that uses a predictive method based on the machine ...

Horizontal Scaling for Containerized Application Using Hybrid ...

The proposed approach uses both reactive and proactive approaches for provisioning/de-provisioning of computing resources. The simulation results of the ...