| Issue |
EPJ Web of Conf.
Volume 295, 2024
26th International Conference on Computing in High Energy and Nuclear Physics (CHEP 2023)
|
|
|---|---|---|
| Article Number | 07022 | |
| Number of page(s) | 8 | |
| Section | Facilities and Virtualization | |
| DOI | https://doi.org/10.1051/epjconf/202429507022 | |
| Published online | 06 May 2024 | |
https://doi.org/10.1051/epjconf/202429507022
Financial Case Study on the Use of Cloud Resources in HEP Computing
1 Scientific Data and Computing Center, Brookhaven National Laboratory, Upton, New York 11973
2 Formerly with the SDCC, Brookhaven National Laboratory.
* e-mail: misawa@bnl.gov
** e-mail: jeromel@bnl.gov
Published online: 6 May 2024
An all-inclusive analysis of costs for on-premises and public cloudbased solutions to handle the bulk of HEP computing requirements shows that dedicated on-premises deployments of compute and storage resources are still the most cost-effective. Since the advent of public cloud services, the HEP community has engaged in multiple proofs of concept to study the technical viability of using cloud resources; however, the financial viability of using cloud resources for HEP computing and storage is of greater importance. We present the results of a study comparing the cost of providing computing resources in a public cloud and a comprehensive estimate for the cost of an on-premises solution for HEP computing. Like previous studies, the fundamental conclusion is that for the bulk of HEP computing needs, on premises is significantly more cost effective than public clouds.
© The Authors, published by EDP Sciences, 2024
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