Fair-Sharing Simulator for Batch Computing Systems
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F25%3A10133795" target="_blank" >RIV/63839172:_____/25:10133795 - isvavai.cz</a>
Výsledek na webu
<a href="https://doi.org/10.1007/978-3-031-85700-3_6" target="_blank" >https://doi.org/10.1007/978-3-031-85700-3_6</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1007/978-3-031-85700-3_6" target="_blank" >10.1007/978-3-031-85700-3_6</a>
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
Fair-Sharing Simulator for Batch Computing Systems
Popis výsledku v původním jazyce
Scientific computing centers or private (in-house) cloud data centers do not rely on the standard pay-as-you-go business model which is common in commercial clouds to allocate resources. Instead, the system is typically shared by a set of selected users, and the administrator's job is to ensure that resources are shared fairly given the existing policies of that organization. One common approach, especially in batch systems, is to deploy a fairshare-based prioritization in the scheduler, where a prioritization mechanism balances resource consumption so that individual users get the right shares of resources over time. In this paper, we present a tool developed to simulate the fairshare setting in a batch system. Using a set of experiments, we demonstrate the utility of this tool in tuning fairshare settings in a standard HPC/HTC scheduler and present the impact of often-overlooked additional options for modifying the basic fairshare settings. All the findings in this paper are based on our real-world experience of running and optimizing a distributed national computing infrastructure in the Czech Republic.
Název v anglickém jazyce
Fair-Sharing Simulator for Batch Computing Systems
Popis výsledku anglicky
Scientific computing centers or private (in-house) cloud data centers do not rely on the standard pay-as-you-go business model which is common in commercial clouds to allocate resources. Instead, the system is typically shared by a set of selected users, and the administrator's job is to ensure that resources are shared fairly given the existing policies of that organization. One common approach, especially in batch systems, is to deploy a fairshare-based prioritization in the scheduler, where a prioritization mechanism balances resource consumption so that individual users get the right shares of resources over time. In this paper, we present a tool developed to simulate the fairshare setting in a batch system. Using a set of experiments, we demonstrate the utility of this tool in tuning fairshare settings in a standard HPC/HTC scheduler and present the impact of often-overlooked additional options for modifying the basic fairshare settings. All the findings in this paper are based on our real-world experience of running and optimizing a distributed national computing infrastructure in the Czech Republic.
Klasifikace
Druh
D - Stať ve sborníku
CEP obor
—
OECD FORD obor
10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)
Návaznosti výsledku
Projekt
—
Návaznosti
—
Ostatní
Rok uplatnění
2025
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Údaje specifické pro druh výsledku
Název statě ve sborníku
PARALLEL PROCESSING AND APPLIED MATHEMATICS, PPAM 2024, PT II
ISBN
978-3-031-85699-0
ISSN
0302-9743
e-ISSN
1611-3349
Počet stran výsledku
14
Strana od-do
77-90
Název nakladatele
SPRINGER INTERNATIONAL PUBLISHING AG
Místo vydání
CHAM
Místo konání akce
Ostrava
Datum konání akce
8. 9. 2024
Typ akce podle státní příslušnosti
WRD - Celosvětová akce
Kód UT WoS článku
001529693300006