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CHALLENGER

Challenger service was used in ACM DEBS 21 [1] and ACM DEBS 22 [2] to disseminate data and benchmark solutions of the Grand Challenge participants.

Software prereq

  • Python 3.8
  • Gradle
  • PostgreSQL
    • You need to create the database and the valid users first.
    • Run the following commands
# Login Database

sudo -iu postgres
psql

# Create a database

create database bandency;
create user bandency with encrypted password 'bandency';
grant all privileges on database bandency to bandency;

# Run in query tool

CREATE EXTENSION IF NOT EXISTS "uuid-ossp";

# Create database

./web/upgradedb.sh

How to run CHALLENGER

  • Download the dataset from Zonodo [3] and place the zip file in resources folder.
  • Run Main
  • gRPC server now runs at port 52923

How to run frontend

cd web
./startwebserver

How to create users and get API token

python3 frontend/admin.py newgroup --email [email protected] --skipmail true --makevm false

References

  1. Jawad Tahir, Christoph Doblander, Ruben Mayer, Sebastian Frischbier, and Hans-Arno Jacobsen. 2021. The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns. In Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems (DEBS '21). Association for Computing Machinery, New York, NY, USA, 136–141.

  2. Sebastian Frischbier, Jawad Tahir, Christoph Doblander, Arne Hormann, Ruben Mayer, and Hans-Arno Jacobsen. 2022. The DEBS 2022 Grand Challenge: Detecting Trading Trends in Financial Tick Data. In The 16th ACM International Conference on Distributed and Event-based Systems (DEBS ’22), June 27-July 1, 2022, Copenhagen,Denmark.ACM,New York,NY,USA, 6 pages.

  3. Frischbier, Sebastian, Tahir, Jawad, Doblander, Christoph, Hormann, Arne, Mayer, Ruben, & Jacobsen, Hans-Arno. (2022). DEBS 2022 Grand Challenge Data Set: Trading Data [Data set]. The 16th ACM International Conference on Distributed and Event-based Systems (DEBS '22), Copenhagen. Zenodo. https://doi.org/10.5281/zenodo.63824824

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