DOI: 10.5281/zenodo.14564847
title: DataCenter-Traces-Datasets

description: Public datasets organized for machine learning or artificial intelligence usage. The following dasets can be used:



Alibaba 2018 machine usage


Processed from the original files found at: https://github.com/alibaba/clusterdata/tree/master/cluster-trace-v2018

This repository dataset of machine usage includes the following columns:



+--------------------------------------------------------------------------------------------+
| Field            | Type       | Label | Comment                                            |
+--------------------------------------------------------------------------------------------+
| cpu_util_percent | bigint     |       | [0, 100]                                           |
| mem_util_percent | bigint     |       | [0, 100]                                           |
| net_in           | double     |       | normarlized in coming network traffic, [0, 100]    |
| net_out          | double     |       | normarlized out going network traffic, [0, 100]    |
| disk_io_percent  | double     |       | [0, 100], abnormal values are of -1 or 101         |
+--------------------------------------------------------------------------------------------+

 


Three sampled datasets are found: average value of each column grouped every 10 seconds as original, and downsampled to 30 seconds and 300 seconds as well. Every column includes the average utilization of the whole data center.



Google 2019 instance usage


 

Processed from the original dataset and queried using Big Query. More information available at: https://research.google/tools/datasets/google-cluster-workload-traces-2019/

This repository dataset of instance usage includes the following columns:



+--------------------------------------------------------------------------------------------+
| Field                         | Type       | Label | Comment                               |
+--------------------------------------------------------------------------------------------+
| avg_cpu                       | double     |       | [0, 1]                                |
| avg_mem                       | double     |       | [0, 1]                                |
| avg_assigned_mem              | double     |       | [0, 1]                                |
| avg_cycles_per_instruction    | double     |       | [0, _]                                |
+--------------------------------------------------------------------------------------------+

 


One sampled dataset is found: average value of each column grouped every 300 seconds as original. Every column includes the average utilization of the whole data center.



Azure v2 virtual machine workload


 

Processed from the original dataset. More information available at: https://github.com/Azure/AzurePublicDataset/blob/master/AzurePublicDatasetV2.md

This repository dataset of instance usage includes the following columns:



+--------------------------------------------------------------------------------------------+
| Field                         | Type       | Label | Comment                               |
+--------------------------------------------------------------------------------------------+
| cpu_usage                     | double     |       | [0, _]                                |
| assigned_mem                  | double     |       | [0, _]                                |
+--------------------------------------------------------------------------------------------+

 


One sampled dataset is found: sum value of each column grouped every 300 seconds as original. For computing CPU_usage, we used core_count usage of each virtual machine. Every column includes the total consumption of the whole data center virtual machines. There is a version of each file including timestamp (from 0 to 2591700, in 300 seconds timestep), and other version without timestamp

 

Access LevelThe dataset is freely accessible under an Open Access model. There are no restrictions for reuse, and it is licensed under [Creative Commons Attribution 4.0 (CC-BY 4.0)](https://creativecommons.org/licenses/by/4.0/).