Analysis of Data Center Logs

This repository contains code for the a statistical analysis of a cloud data center logs (described in this paper). This project uses jupyter notebook for statistical analysis and also for plotting.

Data Access

Please download the the data from and store the downloaded files in directory /data/datasets/combined/

Running the notebook

You can run either on local juyter server or on your preferred IDE (e.g., VS Code) with your own virtual environment and notebook plugins.

Requirements

python3 -m venv venv
source venv/bin/activate

pip install notebook

jupyter notebook

Once the notebook is open on your default browser, open the analysis.ipynb notebook and install required packages (first cell of the notebook) and start executing each cell in sequence.

Citation Information

Shashikant Ilager, Adel N. Toosi, Mayank Raj Jha, Ivona Brandic, Rajkumar Buyya, "A Data-driven Analysis of a Cloud Data Center: Statistical Characterization of Workload, Energy and Temperature", In Proceedings of the 16th IEEE/ACM International Conference on Utility and Cloud Computing (UCC2023), Messina, Italy, December 4-7, 2023. [pdf]