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AzureFunctionsBlobDataset2020.md

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Azure Functions Blob Access Trace 2020

-- revision 1, 20210904

Introduction

This is a sample of the blob accesses in Microsoft's Azure Functions, collected between November 23rd and December 6th 2020. This dataset is the data described and analyzed in the SoCC 2021 paper 'Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications'.

Functions in Azure Functions are grouped into Applications. Included here is only data pertaining to a random sample of Azure Functions applications. The sampling is done per application, so that if there is data about an application in the trace, then all of its functions are included. The sampling rate is unspecified for confidentiality reasons.

The dataset comprises this description and a Jupyter Notebook with the plots in the SoCC paper.

Using the Data

License

The data is made available and licensed under a CC-BY Attribution License. By downloading it or using them, you agree to the terms of this license.

Attribution

If you use this data for a publication or project, please cite the accompanying paper:

Francisco Romero, Gohar Irfan Chaudhry, Íñigo Goiri, Pragna Gopa, Paul Batum, Neeraja J. Yadwadkar, Rodrigo Fonseca, Christos Kozyrakis, Ricardo Bianchini. "Faa$T: A Transparent Auto-Scaling Cache for Serverless Applications", in Proceedings of the ACM Symposium on Cloud Computing 2021 (SoCC 21). ACM, Seattle, WA, 2021.

Lastly, if you have any questions, comments, or concerns, or if you would like to share tools for working with the traces, please contact us at [email protected]

Downloading

You can download the dataset here: https://azurepublicdatasettraces.blob.core.windows.net/azurepublicdatasetv2/azurefunctions_dataset2020/azurefunctions-accesses-2020.csv.bz2

Schema and Description

Schema

Field Description
Timestamp Access time in milliseconds since 1970
AnonRegion Unique id for the region1
AnonUserId Unique id for the user1
AnonAppName Unique id for the application1
AnonFunctionInvocationId Unique id for the invocation1
AnonBlobName Unique id for the blob accessed1
BlobType Type of the blob accessed
AnonBlobETag Version of the blob accessed1
BlobBytes Number of bytes of the blob
Read If the access is a read
Write If the access is a write

Notes

  1. Ids are hashed using HMAC-SHA512 with secret salts and cropped.

Sample

Timestamp AnonRegion AnonUserId AnonAppName AnonFunctionInvocationId AnonBlobName BlobType AnonBlobETag BlobBytes Read Write
1606092900138 6ex 775920313 9gti3olh 1565080819 jfvf7k9kwiiq7gdx BlockBlob/application/octet-stream kq2su6bhi0 30.0 True False
1606928903185 6ex 1252244298 7c51my6n 1191849141 1fjxqoqi2nc5njpg BlockBlob/application/zip ibd6a5v5pv 1938488.0 True False
1606355700058 iic 1495523193 uf2u84b0 1302383289 tp783etybrgxap8x BlockBlob/ 6mreka6qhr 36.0 False True
1606924856178 iic 705112778 1jgfqbn6 1869133266 80lssrlkciitddx9 BlockBlob/ if8foq3a81 2204780.0 False True
1606658957997 6ex 1252244298 15dp5na6 1468781831 juijw2ldiogyem3c BlockBlob/application/zip 414fgngli4 359512.0 True False
... ... ... ... ... ... ... ... ... ... ...
1607270691764 ayi 1003538042 766ofcie 1080821259 sfocyrxcksjgri5t BlockBlob/application/json tanw2860j5 164.0 True False
1607270691884 ayi 1003538042 766ofcie 1530317863 aat6cv8j2cofwj1a BlockBlob/application/json gf05emgb6t 164.0 True False
1607270692007 ayi 1003538042 766ofcie 358892311 u7p02pymm07pa7bg BlockBlob/application/json kl2uv31e7y 164.0 True False
1607270692134 ayi 1003538042 766ofcie 1978924507 9qeai70lggcku3c5 BlockBlob/application/json 3xa1dkrq7m 164.0 True False
1607270692284 ayi 1003538042 766ofcie 1142206120 t8e88ksd6fiy2dx0 BlockBlob/application/json bp4ynk65sl 164.0 True False

Validation

This data is the sample data used in the SoCC paper mentioned above. To verify the data, we reproduce the characterization graphs in the paper using the released trace in this Jupyter Notebook.