Events2Join

Burst|Aware Predictive Autoscaling for Containerized Microservices


Predictive Autoscaling for Multilayered Cloud Deployments

address the problem of QoS-aware optimization in ... Atom: Model-driven autoscaling for microservices ... [153] Docker compose files to analyze structural patterns ...

Predicting the End-to-End Tail Latency of Containerized ...

Predicting the End-to-End Tail Latency of Containerized Microservices in the Cloud ... [7] Kubernetes horizontal autoscaling. https ... Autonomic mix-aware ...

Cushion: A proactive resource provisioning method to mitigate SLO ...

: Burst-aware predictive autoscaling for containerized microservices. IEEE Trans. Serv. Comput. 15(3), 1448–1460 (2020). 10.1109/TSC ...

Erlang: Application-Aware Autoscaling for Cloud Microservices

Application-Aware Autoscaling for Cloud Microservices ... on application-specific knowledge and predictive algorithms; ... container-based cluster management tools ...

Metaheuristic based auto-scaling for microservices in cloud ...

This study introduces a new Dragon Levy updated squirrel algorithm (DLU-SA) for container aware application scheduling. Furthermore, the ...

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

... prediction and resource allocation ... Towards Microservices-Aware Autoscaling: A Review. ... Predictive hybrid autoscaling for containerized applications.

E-ISSN:2178-7727 SLA AWARE REACTIVE AUTOSCALING FOR ...

Auto scaler is implemented using Docker SDK and Python programming language. It includes functions to get Container average CPU Utilization and Microservice ...

An auto-scaling approach for microservices in cloud computing ...

Based on the result, the predictive autoscaling ... container-aware application scheduling," International Journal of Pervasive Computing and.

State of the Art on Microservices Autoscaling: An Overview - SOL/SBC

(2019). Predictive container auto-scaling for cloud-native applications. In ICTC, pages 1280–1282. Zhou, X., Jin, ...

Micro Frontend Based Performance Improvement and Prediction for ...

... Burst-aware predictive autoscaling for containerized microservices. IEEE Trans. Serv. Comput. 15(3), 1448–1460 (2020). Article Google Scholar.

Key influencing factors of the Kubernetes auto-scaler for computing

... prediction of complex systems such as weather forecasting ... Auto-scaling of micro-services using containerization. ... Renewable-aware geographical load bal-.

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

(2018, January 11–13). Fisher: An Efficient Container Load Prediction Model with Deep Neural Network in Clouds. Proceedings of the 2018 IEEE Intl Conf on ...

Auto-Scaling Containerized Applications in Geo-Distributed Clouds

In the article [37], several predictive- based auto-scaling policies were designed for microservice applications both on VMs and containers level. However, they ...

A Cloud-Based Container Microservices: A Review on Load

container- aware application scheduling method for processing microservices. ... Hanif, and C. Lee, “Predictive Container Auto-Scaling for Cloud-Native ...

KEDA | Kubernetes Event-driven Autoscaling

KEDA is a Kubernetes-based Event Driven Autoscaler. With KEDA, you can drive the scaling of any container in Kubernetes based on the number of events needing to ...

Predictive Autoscaling in Kubernetes with Keda and Prophet - Medium

In the fast-paced world of cloud computing, managing resources efficiently is crucial. Kubernetes, the de facto standard for container ...

A Survey of Autoscaling in Kubernetes - AWS

Kim., “Traffic-Aware ... Hanif, C. Lee., “Predictive Container Auto-. Scaling for Cloud-Native Applications”. ... Ghamri-Doudane.,. “Predictive Autoscaling ...

Hybrid Auto-Scaling for an Asynchronous Computationally Intensive ...

As the number of containers grows, as will inevitably happen in a microservice architecture, a container orchestration management system that ...

TERA-Scaler for a Proactive Auto-Scaling of e-Business Microservices

Inferline: latency-aware provisioning and scaling for prediction serving pipelines. ... Machine learning based auto- scaling for containerized ... A cost- aware ...

MASTER THESIS - OsloMet ODA

Burst-aware predictive autoscaling for containerized microservices. IEEE Transactions on. Services Computing, 15(3), 1448-1460. Alibaba ...