About this document

WAC: Optimizing Cloud Autoscaling by Nguyen Khac Chien is a document available to read on EtoBox.

This document presents WAC (Workload Analysis and Classification), a tool that analyzes workload traces to classify workloads and assign them to the most suitable autoscaling algorithm. WAC extracts periodicity and burstiness characteristics from workloads. It trains a classifier on these characteristics to predict which of four autoscaling algorithms will perform best for a given workload, achieving up to 92% accuracy. The goal is to optimize capacity autoscaling by matching workloads with the autoscaler b

Author

Nguyen Khac Chien

Language

EN