Literature review

[cmelone]

Tracking interesting papers/projects that could serve as inspiration for new directions

• Sochat, Vanessa. "Nuances of Job Design: Testing with Kueue." vsoch (blog), 14 Jan 2024, https://vsoch.github.io/2024/nuances-of-job-design/
  • could be useful if we look into queueing jobs with k8s
• Nashold, Langston, and Rayan Krishnan. Using LSTM and SARIMA Models to Forecast Cluster CPU Usage. 15 Jul 2020, https://arxiv.org/abs/2007.08092.
• Sochat, Vanessa, et al. HPC Alongside User-Space Kubernetes. 11 Jun 2024, https://arxiv.org/abs/2406.06995.
• Sochat, Vanessa. "Pancake Elasticity: Scheduling to Application Containers in Kubernetes." 8 Jul 2024, https://www.youtube.com/watch?v=-36DlwrSPec.
• Viyom Mittal, Pedro Bruel, Dejan Milojicic, and Eitan Frachtenberg. 2023. Adaptive Stopping Rule for Performance Measurements. https://doi.org/10.1145/3624062.3624202.
• D. Nichols, A. Marathe, K. Shoga, T. Gamblin and A. Bhatele. 2022. Resource Utilization Aware Job Scheduling to Mitigate Performance Variability. https://ieeexplore.ieee.org/document/9820723.
• Kevin Menear, Ambarish Nag, Jordan Perr-Sauer, Monte Lunacek, Kristi Potter, and Dmitry Duplyakin. 2023. Mastering HPC Runtime Prediction: From Observing Patterns to a Methodological Approach. https://doi.org/10.1145/3569951.3593598.
• https://github.com/volcano-sh/volcano
  • batch/queueing system built on k8s
• Ivy Peng, Ian Karlin, Maya Gokhale, Kathleen Shoga, Matthew Legendre, and Todd Gamblin. 2022. A Holistic View of Memory Utilization on HPC Systems: Current and Future Trends. https://doi.org/10.1145/3488423.3519336

Topics to research

• gaussian process regression
• Kolmogorov–Smirnov test