Using EC2 Auto Scaling predictive scaling policies with Blue/Green deployments | AWS Compute Blog
A Holistic Auto-Scaling Algorithm for Multi-Service Applications Based on Balanced Queuing Network
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PDF] Auto-Scaling Model for Cloud Computing System | Semantic Scholar
A-SARSA: A Predictive Container Auto-Scaling Algorithm Based on Reinforcement Learning | Semantic Scholar
Algorithm of auto scaling strategy. | Download Scientific Diagram
FLAS: A combination of proactive and reactive auto-scaling architecture for distributed services - ScienceDirect
NGINX Plus Load Balancing for AWS Auto Scaling Groups
A study on performance measures for auto-scaling CPU-intensive containerized applications | Cluster Computing
What is Auto Scaling? Definition & FAQs | Avi Networks
Auto-scaling Web Applications in Clouds: A Cost-Aware Approach
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PDF] Auto-Scaling Model for Cloud Computing System | Semantic Scholar
RNN‐EdgeQL: An auto‐scaling and placement approach for SFC - Pandey - 2023 - International Journal of Network Management - Wiley Online Library
Managing throughput capacity automatically with DynamoDB auto scaling - Amazon DynamoDB
Applied Sciences | Free Full-Text | Deep Learning-Based Autoscaling Using Bidirectional Long Short-Term Memory for Kubernetes
Scaling based on predictions | Compute Engine Documentation | Google Cloud
A study on performance measures for auto-scaling CPU-intensive containerized applications | Cluster Computing
How to create an Amazon EC2 Auto Scaling policy based on a memory utilization metric (Linux) | AWS Cloud Operations & Migrations Blog
Resource allocation, scheduling and auto-scaling algorithms for enhancing the performance of cloud using Grey Wolf Optimization and Fuzzy rules - IOS Press
Enable or disable the horizontal auto-scaling feature - Platform For AI - Alibaba Cloud Documentation Center
MSU VQMT Gets Auto-Scaling But Watch the Scaling Algorithm - Streaming Learning Center
Design of Middleware to Support Auto-scaling in Docker-Based Multi Host Environment | SpringerLink
AWS Auto Scaling
A Hybrid Approach for Performance and Energy-Based Cost Prediction in Clouds
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