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Code for ASE'21 paper "AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems"

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AID

This repository contains the code for ASE'21 paper AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems.

Data

Please download the data from https://doi.org/10.5281/zenodo.5638238.

The file contains a small portion of the preprocessed traces used in our paper. The traces are sanitized subsets of the first-party microservice invocations in one of Huawei Cloud's geographical regions on April 11, 2021. The service names are desensitized.

Usage

  1. pip install -r requirements.txt
  2. python intensity.py

Reference

If you use our data or code, please kindly cite our paper.

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Code for ASE'21 paper "AID: Efficient Prediction of Aggregated Intensity of Dependency in Large-scale Cloud Systems"

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