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The DEBS 2021 grand challenge: analyzing environmental impact of worldwide lockdowns

Published: 28 June 2021 Publication History

Abstract

The ACM DEBS 2021 Grand Challenge (GC) is the eleventh episode of a series of programming challenge competitions that began in 2011. Every year, participants of the GC are provided with new datasets and practical problems, and the challenge receives novel and high performant solutions from research, academia, and industry. The theme of the DEBS '21 GC is analyzing the environmental effects of COVID-19 restrictions. This year's edition of the GC is the first to explicitly focus on the integration and practicability of the solutions by fostering the use of distributed solutions based on widely-used open-source platforms and by requiring participants to address non-functional properties besides correctness of the solution. This paper describes the dataset used, formalizes the problem statement, and explains the evaluation platform that made dataset distribution and remote evaluation possible with our new virtualized infrastructure.

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Cited By

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  • (2024)The DEBS 2024 Grand Challenge: Telemetry Data for Hard Drive Failure PredictionProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3672538(223-228)Online publication date: 24-Jun-2024
  • (2024)Challenger 2.0: A Step Towards Automated Deployments and Resilient Solutions for the DEBS Grand ChallengeProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3666027(6-17)Online publication date: 24-Jun-2024
  • (2023)IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification2023 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP49359.2023.10221899(2400-2404)Online publication date: 8-Oct-2023

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cover image ACM Conferences
DEBS '21: Proceedings of the 15th ACM International Conference on Distributed and Event-based Systems
June 2021
207 pages
ISBN:9781450385558
DOI:10.1145/3465480
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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Publication History

Published: 28 June 2021

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Author Tags

  1. air quality index
  2. data streaming
  3. event processing

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  • Short-paper

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DEBS '21

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DEBS '21 Paper Acceptance Rate 7 of 26 submissions, 27%;
Overall Acceptance Rate 145 of 583 submissions, 25%

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Cited By

View all
  • (2024)The DEBS 2024 Grand Challenge: Telemetry Data for Hard Drive Failure PredictionProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3672538(223-228)Online publication date: 24-Jun-2024
  • (2024)Challenger 2.0: A Step Towards Automated Deployments and Resilient Solutions for the DEBS Grand ChallengeProceedings of the 18th ACM International Conference on Distributed and Event-based Systems10.1145/3629104.3666027(6-17)Online publication date: 24-Jun-2024
  • (2023)IKD+: Reliable Low Complexity Deep Models for Retinopathy Classification2023 IEEE International Conference on Image Processing (ICIP)10.1109/ICIP49359.2023.10221899(2400-2404)Online publication date: 8-Oct-2023

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