SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2

Thomas Fillers; John Maddox; Kevin Wang; Trevor Taylor; Reuben Budiardja; Verónica G.Melesse Vergara

doi:10.1007/978-3-031-23606-8_20

SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2

Thomas Fillers, John Maddox, Kevin Wang, Trevor Taylor, Reuben Budiardja, Verónica G.Melesse Vergara

Advanced Computing for Nuclear, Particle

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper investigates five separate questions regarding the usage of Summit’s login nodes. We will explain the conversion of the usage logs to readable data and graphs, the comparison of usage between different timeframes like pre- and post-pandemic lockdowns or weekdays versus weekends, the comparison of usage parameters between different login nodes, the prediction of future trends of usage for Summit’s login nodes, and additional patterns of interest extracted from the data.

Original language	English
Title of host publication	Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers
Editors	Kothe Doug, Geist Al, Swaroop Pophale, Hong Liu, Suzanne Parete-Koon
Publisher	Springer Science and Business Media Deutschland GmbH
Pages	317-328
Number of pages	12
ISBN (Print)	9783031236051
DOIs	https://doi.org/10.1007/978-3-031-23606-8_20
State	Published - 2022
Event	Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022 - Virtual, Online Duration: Aug 24 2022 → Aug 25 2022

Publication series

Name	Communications in Computer and Information Science
Volume	1690 CCIS
ISSN (Print)	1865-0929
ISSN (Electronic)	1865-0937

Conference

Conference	Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022
City	Virtual, Online
Period	08/24/22 → 08/25/22

Funding

This research used resources of the Oak Ridge Leadership Computing Facility, which is a DOE Office of Science User Facility supported under Contract DE-AC05-00OR22725.

Funders	Funder number
Office of Science	DE-AC05-00OR22725

Keywords

Data analysis
System utilization
Time series forecasting

Access to Document

10.1007/978-3-031-23606-8_20

Cite this

Fillers, T., Maddox, J., Wang, K., Taylor, T., Budiardja, R., & Vergara, V. G. M. (2022). SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2. In K. Doug, G. Al, S. Pophale, H. Liu, & S. Parete-Koon (Eds.), Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers (pp. 317-328). (Communications in Computer and Information Science; Vol. 1690 CCIS). Springer Science and Business Media Deutschland GmbH. https://doi.org/10.1007/978-3-031-23606-8_20

Fillers, Thomas ; Maddox, John ; Wang, Kevin et al. / SMC 2022 Data Challenge : Summit Spelunkers Solution for Challenge 2. Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers. editor / Kothe Doug ; Geist Al ; Swaroop Pophale ; Hong Liu ; Suzanne Parete-Koon. Springer Science and Business Media Deutschland GmbH, 2022. pp. 317-328 (Communications in Computer and Information Science).

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title = "SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2",

abstract = "This paper investigates five separate questions regarding the usage of Summit{\textquoteright}s login nodes. We will explain the conversion of the usage logs to readable data and graphs, the comparison of usage between different timeframes like pre- and post-pandemic lockdowns or weekdays versus weekends, the comparison of usage parameters between different login nodes, the prediction of future trends of usage for Summit{\textquoteright}s login nodes, and additional patterns of interest extracted from the data.",

keywords = "Data analysis, System utilization, Time series forecasting",

author = "Thomas Fillers and John Maddox and Kevin Wang and Trevor Taylor and Reuben Budiardja and Vergara, {Ver{\'o}nica G.Melesse}",

note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Switzerland AG.; Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022 ; Conference date: 24-08-2022 Through 25-08-2022",

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doi = "10.1007/978-3-031-23606-8_20",

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series = "Communications in Computer and Information Science",

publisher = "Springer Science and Business Media Deutschland GmbH",

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editor = "Kothe Doug and Geist Al and Swaroop Pophale and Hong Liu and Suzanne Parete-Koon",

booktitle = "Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers",

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Fillers, T, Maddox, J, Wang, K, Taylor, T, Budiardja, R & Vergara, VGM 2022, SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2. in K Doug, G Al, S Pophale, H Liu & S Parete-Koon (eds), Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers. Communications in Computer and Information Science, vol. 1690 CCIS, Springer Science and Business Media Deutschland GmbH, pp. 317-328, Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Virtual, Online, 08/24/22. https://doi.org/10.1007/978-3-031-23606-8_20

SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2. / Fillers, Thomas; Maddox, John; Wang, Kevin et al.
Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers. ed. / Kothe Doug; Geist Al; Swaroop Pophale; Hong Liu; Suzanne Parete-Koon. Springer Science and Business Media Deutschland GmbH, 2022. p. 317-328 (Communications in Computer and Information Science; Vol. 1690 CCIS).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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Fillers T, Maddox J, Wang K, Taylor T, Budiardja R, Vergara VGM. SMC 2022 Data Challenge: Summit Spelunkers Solution for Challenge 2. In Doug K, Al G, Pophale S, Liu H, Parete-Koon S, editors, Accelerating Science and Engineering Discoveries Through Integrated Research Infrastructure for Experiment, Big Data, Modeling and Simulation - 22nd Smoky Mountains Computational Sciences and Engineering Conference, SMC 2022, Revised Selected Papers. Springer Science and Business Media Deutschland GmbH. 2022. p. 317-328. (Communications in Computer and Information Science). doi: 10.1007/978-3-031-23606-8_20