Job simulation for large-scale PBS based clusters with the Maui Scheduler
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61989100%3A27740%2F18%3A10239712" target="_blank" >RIV/61989100:27740/18:10239712 - isvavai.cz</a>
Result on the web
<a href="http://www.iadisportal.org/digital-library/iadis-international-conference-theory-and-practice-in-modern-computing-2018-part-of-mccsis-2018" target="_blank" >http://www.iadisportal.org/digital-library/iadis-international-conference-theory-and-practice-in-modern-computing-2018-part-of-mccsis-2018</a>
DOI - Digital Object Identifier
—
Alternative languages
Result language
angličtina
Original language name
Job simulation for large-scale PBS based clusters with the Maui Scheduler
Original language description
For large-scale High Performance Computing centers with a wide range of different projects and heterogeneous infrastructures, efficiency is an important consideration. Understanding how compute jobs are scheduled is necessary for improving the job scheduling strategies in order to optimize cluster utilization and job wait times. This increases the importance of a reliable simulation capability, which in turn requires accuracy and comparability with historic workloads from the cluster. Not all job schedulers have a simulation capability, including the Portable Batch System (PBS) resource manager. Hence, PBS based centers have no direct way to simulate changes and optimizations before they are applied to the production system. We propose and discuss how to run job simulations for large-scale PBS based clusters with the Maui Scheduler. For validation purposes, we use historic workloads collected at the IT4Innovations supercomputing center, and demonstrate the viability of our approach. We are confident that our approach is also transferable to enable job simulations for other computing centers using PBS.
Czech name
—
Czech description
—
Classification
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)
Result continuities
Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2018
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
MCCSIS 2018 - Multi Conference on Computer Science and Information Systems; Proceedings of the International Conferences on Big Data Analytics, Data Mining and Computational Intelligence 2018, Theory and Practice in Modern Computing 2018 and Connected Smart Cities 2018
ISBN
978-989-8533-80-7
ISSN
—
e-ISSN
neuvedeno
Number of pages
9
Pages from-to
137-145
Publisher name
IADIS
Place of publication
Lisabon
Event location
Madrid
Event date
Jul 17, 2018
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—