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ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
image/svg+xml art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos Open Access logo, converted into svg, designed by PLoS. This version with transparent background. http://commons.wikimedia.org/wiki/File:Open_Access_logo_PLoS_white.svg art designer at PLoS, modified by Wikipedia users Nina, Beao, JakobVoss, and AnonMoos http://www.plos.org/
ZENODO
Dataset . 2024
License: CC BY
Data sources: ZENODO
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
ZENODO
Dataset . 2024
License: CC BY
Data sources: Datacite
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DataCenter-Traces-Datasets

Authors: Fernández-Montes, Alejandro; Fernández Cerero, Damián;

DataCenter-Traces-Datasets

Abstract

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/).

Related Organizations
Keywords

Data centre, Machine learning, Workload

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average