Filtered long running Azure VM traces

This repository contains traces of the Virtual Machine (VM) workload of Microsoft Azure collected in 2017. The trace contains more than twenty-eight thousand VMs with over twenty-four million datapoints for CPU Utilisation readings.

The trace is a sanitised subset of the Azure VM workload described in "Resource Central: Understanding and Predicting Workloads for Improved Resource Management in Large Cloud Platforms" in SOSP’17.

If you do use either of these traces in your research, please make sure to cite our paper --> "Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation"

Abubakar, A.; Barbhuiya, S.; Kilpatrick, P.; Vien, N. and Nikolopoulos, D. (2020). Fast Analysis and Prediction in Large Scale Virtual Machines Resource Utilisation.In Proceedings of the 10th International Conference on Cloud Computing and Services Science - Volume 1: CLOSER, ISBN 978-989-758-424-4, pages 115-126.

DOI: 10.5220/0009408701150126