@inproceedings{f26ba1fba0ee4435bed59c7c354329f8,
title = "Data Driven CI System Design and Procurement with Open XDMoD",
abstract = "The ability to apply data-driven design principles to customize new CI investment to best serve the intended community as well as provide fact-based justification for its need is critical given the important role it plays in research and economic development and its high cost. Here we describe a data driven approach to CI system design based on workload analyses obtained using the popular open-source CI management tool Open XDMoD, and how it was leveraged in a procurement to provide end-users with an additional 5.6 million CPU hours annually, with subsequent procurements following similar design goals. In addition to system design, we demonstrate Open XDMoD{\textquoteright}s utility in providing fact-based justification for the CI procurement through usage metrics of existing CI resources.",
keywords = "ACCESS, CI System Design, Computer Workload Analysis, Cyberinfrastructure System Design, Metrics, Open XDMoD, XDMoD",
author = "Furlani, \{Thomas R.\} and Jones, \{Matthew D.\} and White, \{Joseph P.\}",
note = "Publisher Copyright: {\textcopyright} 2025 Copyright held by the owner/author(s); 2025 Practice and Experience in Advanced Research Computing, PEARC 2025 ; Conference date: 20-07-2025 Through 24-07-2025",
year = "2025",
month = jul,
day = "18",
doi = "10.1145/3708035.3736000",
language = "English",
series = "PEARC 2025 - Practice and Experience in Advanced Research Computing 2025: The Power of Collaboration",
publisher = "Association for Computing Machinery, Inc",
booktitle = "PEARC 2025 - Practice and Experience in Advanced Research Computing 2025",
}