Published November 29, 2024 | Version v3
Dataset Open

A trace of microservice time, call rate, and number of replicas

Authors/Creators

  • 1. Salzburg Research Ltd.
  • 2. ROR icon University of Salzburg
  • 3. ROR icon Universität Innsbruck
  • 4. ROR icon University of Twente
  • 5. ROR icon University of Klagenfurt

Description

This is part of the runtime traces of the Alibaba Cloud clusters, which record rows of different microservice times, call rates, and number replicas over a 30-second interval.

In this dataset, starting from zero, the fifth and sixth columns show the microservice time and call rates (with the microservice ID in column 2 and the container ID in column 3).
Moreover, column 4 contains the number of replicas from the microservice, denoted in column 2.

Alibaba's original microservice trace has 24 parts, from which we extracted ten and filtered based on message queue and similarity in microservice and container IDs.

Please consider that the first two columns are timestamps.

Notes (English)

This work received funding from EXDIGIT (Excellence in Digital Sciences and Interdisciplinary Technologies) project funded by Land Salzburg under grant number 20204-WISS/263/6-6022.

Files

dataset-replica-mcr-mt.csv

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Additional details

Funding

European Commission
DataCloud - ENABLING THE BIG DATA PIPELINE LIFECYCLE ON THE COMPUTING CONTINUUM 101016835
European Commission
enRichMyData - Enabling Data Enrichment Pipelines for AI-driven Business Products and Services 101070284
European Commission
Graph-Massivizer - Extreme and Sustainable Graph Processing for Urgent Societal Challenges in Europe 101093202
Austrian Research Promotion Agency
Kärntner Fog 888098
Land Salzburg
EXDIGIT (Excellence in Digital Sciences and Interdisciplinary Technologies) 20204-WISS/263/6-6022