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IEEEComputing infrastructure usage analysis. Analyze traces of usage of production computer clusters to predict certain patterns in unseen data.
  • LLM prediction power. Learn how to train an LLM to make accurate predictions.
  • Cloud computing workloads. Analyze a production cloud computing workload to predict what future workload patterns will look like.
  • Winning Teams will present their solutions at IEEE Big Data in Washington, DC, from 15-18 December 2024.

    Submissions will be evaluated based on quantitative performance in predicting events in an unseen dataset, an oral presentation given by the teams to a team of international judges, and the novelty of the solution. The three winning teams will be awarded at IEEE Big Data, with expenses paid by the IEEE Computer Society.

    Registration is now closed.

    Thank you to our Sponsor, Adobe

    Adobe Logo IconShowcase your technical skills.

  • Exposure in front of an international team of judges
  • Compete amongst a community of students with an interest in Computer Science and Engineering.
  • Competition Rules

    The teams may use any resources at their disposal, though credit will be given for the novelty of the solution. Teams may not collaborate with other teams. The software submitted must be runnable in a Jupyter notebook.

    Prizes

    1st place finisher: US$2,500

    First runner-up: US$1,500

    Second runner-up: US$500

    Special Prize for a team comprised solely of IEEE Computer Society Members.

    Key Dates

    Registration Open/Phase 1 Kicks Off:  16 September 2024, Deadline to Register, 4 October

    Submission Deadline: 21 October 2024

    Finalists Notified: 8 November 2024

    Finalists Present In Person at IEEE Big Data: 16 December 2024

    Winners Announced: 17 December 2024

    Organizing Committee


    Josh McKerracher, Aryamaan Dhomne, Purdue University
  • Xiangliang Zhang, Xiangqi Wang, Yue Huang, University of Notre Dame
  • Ashraf Mahgoub, General Motors
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