Fair-Sharing Simulator for Batch Computing Systems

Result code in 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>

Result on the web

<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>

Result language

angličtina

Original language name

Fair-Sharing Simulator for Batch Computing Systems

Original language description

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&apos;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.

Czech name

—

Czech description

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Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

—

Continuities

—

Publication year

2025

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

PARALLEL PROCESSING AND APPLIED MATHEMATICS, PPAM 2024, PT II

ISBN

978-3-031-85699-0

ISSN

0302-9743

e-ISSN

1611-3349

Number of pages

14

Pages from-to

77-90

Publisher name

SPRINGER INTERNATIONAL PUBLISHING AG

Place of publication

CHAM

Event location

Ostrava

Event date

Sep 8, 2024

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

001529693300006