A proactive energy|aware auto|scaling solution for edge|based ...

A proactive energy-aware auto-scaling solution for edge-based ...

This paper presents a proactive horizontal auto-scaling framework for edge infrastructures, which takes into account both the base (idle) and dynamic (due to ...

A proactive energy-aware auto-scaling solution for edge-based ...

(2022) A proactive energy-aware auto-scaling solution for edge-based infrastructures. In: Proceedings of the 15th IEEE/ACM International Conference on ...

A proactive energy-aware auto-scaling solution for edge-based ...

Proactive auto-scaling mechanisms in edge-based infrastructures can anticipate user service requests by allocating computing resources while supporting the ...

A proactive energy-aware auto-scaling solution for edge-based ...

Request PDF | On Oct 15, 2022, Angel Canete and others published A proactive energy-aware auto-scaling solution for edge-based ...

A proactive energy-aware auto-scaling solution for edge-based ...

A proactive energy-aware auto-scaling solution for edge-based infrastructures. Angel Cañete 1. ,. Karim Djemame 2. ,. Mercedes Amor 1. ,. Lidia Fuentes 1.

Proactive auto-scaling for edge computing systems with Kubernetes

Auto Regressive Integrated. Moving Average (ARIMA) models are used for forecasting the CPU usage of containers, and based on forecasted values, the same ...

Proactive autoscaling for edge computing systems with kubernetes

2016. CRUPA: A container resource utilization prediction algorithm for auto-scaling based on time series analysis. In 2016 International conference on progress ...

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

We present FedAvg-BiGRU, a proactive auto-scaling method in edge computing based on FedAvg and multi-step prediction by a Bidirectional Gated Recurrent Unit ( ...

Proactive autoscaling for edge computing systems with kubernetes

While the industry explores reactive, proactive, and machine learning-based approaches for scaling decisions, the intrinsic relationship between ...

Enhanced SLA Compliance in Edge Computing Applications ...

[63] presented a proactive horizontal pod auto-scaling solution for edge comput- ing paradigms. ... Traffic-aware horizontal pod autoscaler in kubernetes-based ...

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

Highlights •Proactive auto-scaling method for container-based edge computing web applications.•Multi-step Federated Learning prediction ...

Effective priority-based resource allocation for proactive auto-scaling ...

A latency-aware and energy-efficient computation offloading in ... Context-aware multi-user offloading in mobile edge computing: a federated ...

Exploiting Energy-Aware Programming to Build Energy-Efficient ...

... energy-efficient software. The proactive energy-aware development kit (PEEK) is a systems approach to optimize software for energy efficiency. PEEK fully ...

Workload and Resource Aware Proactive Auto-scaler for PaaS ...

Results show significant QoS improvements and cost reductions by inteliScaler compared to a typical reactive and threshold-based PaaS auto-scaling solution.

Optimizing resource allocation using proactive scaling with ...

Kubernetes-based containerized applications heavily rely on distributing network workloads among cluster applications, primarily because of the frequent ...

Design and Evaluation of a Proactive, Application-Aware Auto-Scaler

Simple, threshold-based auto-scaling mechanisms as mainly used in practice bring no features to overcome resource pro- visioning delays and non-linear ...

Proactive Energy-Aware Adaptive Video Streaming on Mobile Devices

In this paper, we observe that modern power-hungry apps such as video streaming and offloading-based apps already come with sophisticated app ...

Proactive Auto-Scaling Algorithm (PASA) for Cloud Application

Thereby, an effective solution ... Proactive auto-scaling algorithm (PASA) based on the MAPE loop. •. Resource-aware and SLA-aware auto-scaling for cloud ...

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 ...

Workload and Resource Aware Proactive Auto-Scaler for PaaS Cloud

threshold-based PaaS auto-scaling solution. Keywords: Auto-scaling; Cloud computing; PaaS; Prediction. I. INTRODUCTION. Auto-scaling is the process of ...