A study on demand management plans for National Supercomputer resources

Hyungwook Shim and Jaegyoon Hahm

Technology in Society, 2023, vol. 75, issue C

Abstract: In response to the rapid surge in AI computing demand at a large scale, the requirement for effective management of national supercomputing resources has emerged in the Republic of Korea. The objective is to not just amplify supply in accordance with demand but also regulate demand based on supply availability. The primary rationale behind this pertains to our complete reliance on purchasing foreign computing resources. Given that all expenditures for resource development are drawn from the government budget, numerous economic constraints come into play. Therefore, this study outlines a plan for managing the demand of national supercomputing resources and assesses its impact across various scenarios. By utilizing operational data from the National Center's supercomputing operations, we evaluated the potential and degree of enhancement in operational efficiency using Data Envelopment Analysis. Additionally, we scrutinized the effects of enhancing operational efficiency for each scenario by applying the Valley-Filling demand-management approach. To quantitatively compare operational effects in each scenario, load factor metrics were employed. The analysis revealed both the tangible improvement in operational efficiency due to demand management and crucial factors pivotal for formulating future demand management strategies. The outcomes are expected to serve as a primary guide for shaping a demand management system and devising prospective action plans.

Keywords: Supercomputer; Data Envelopment Analysis(DEA); Demand management; Valley filling; Peak reduction; Peak shift (search for similar items in EconPapers)
Date: 2023
References: View complete reference list from CitEc
Citations:

Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0160791X23001811
Full text for ScienceDirect subscribers only

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eee:teinso:v:75:y:2023:i:c:s0160791x23001811

DOI: 10.1016/j.techsoc.2023.102376

Access Statistics for this article

Technology in Society is currently edited by Charla Griffy-Brown

More articles in Technology in Society from Elsevier
Bibliographic data for series maintained by Catherine Liu ().