Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F63839172%3A_____%2F20%3A10133331" target="_blank" >RIV/63839172:_____/20:10133331 - isvavai.cz</a>

Nalezeny alternativní kódy

RIV/00216305:26230/20:PU138624

Výsledek na webu

<a href="https://link.springer.com/chapter/10.1007/978-3-030-63171-0_4" target="_blank" >https://link.springer.com/chapter/10.1007/978-3-030-63171-0_4</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1007/978-3-030-63171-0_4" target="_blank" >10.1007/978-3-030-63171-0_4</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations

Popis výsledku v původním jazyce

Therapeutic ultrasound plays an increasing role in dealing with oncological diseases, drug delivery and neurostimulation. To maximize the treatment outcome, thorough pre-operative planning using complex numerical models considering patient anatomy is crucial. From the computational point of view, the treatment planning can be seen as the execution of a complex workflow consisting of many different tasks with various computational requirements on a remote cluster or in cloud. Since these resources are precious, workflow scheduling plays an important part in the whole process. This paper describes an extended version of the k-Dispatch workflow management system that uses historical performance data collected on similar workflows to choose suitable amount of computational resources and estimates execution time and cost of particular tasks. This paper also introduces necessary extensions to the Alea cluster simulator that enable the estimation of the queuing and total execution time of the whole workflow. The conjunction of both systems then allows for finegrain optimization of the workflow execution parameters with respect to the current cluster utilization. The experimental results show that this approach is able to reduce the computational time by 26%.

Název v anglickém jazyce

Optimizing Biomedical Ultrasound Workflow Scheduling Using Cluster Simulations

Popis výsledku anglicky

Therapeutic ultrasound plays an increasing role in dealing with oncological diseases, drug delivery and neurostimulation. To maximize the treatment outcome, thorough pre-operative planning using complex numerical models considering patient anatomy is crucial. From the computational point of view, the treatment planning can be seen as the execution of a complex workflow consisting of many different tasks with various computational requirements on a remote cluster or in cloud. Since these resources are precious, workflow scheduling plays an important part in the whole process. This paper describes an extended version of the k-Dispatch workflow management system that uses historical performance data collected on similar workflows to choose suitable amount of computational resources and estimates execution time and cost of particular tasks. This paper also introduces necessary extensions to the Alea cluster simulator that enable the estimation of the queuing and total execution time of the whole workflow. The conjunction of both systems then allows for finegrain optimization of the workflow execution parameters with respect to the current cluster utilization. The experimental results show that this approach is able to reduce the computational time by 26%.

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)

Projekt

<a href="/cs/project/EF16_013%2F0001797" target="_blank" >EF16_013/0001797: E-infrastruktura CESNET - modernizace</a><br>

Návaznosti

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Rok uplatnění

2020

Kód důvěrnosti údajů

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

Název statě ve sborníku

Job Scheduling Strategies for Parallel Processing

ISBN

978-3-030-63170-3

ISSN

0302-9743

e-ISSN

—

Počet stran výsledku

17

Strana od-do

68-84

Název nakladatele

Springer

Místo vydání

Switzerland

Místo konání akce

New Orleans

Datum konání akce

22. 5. 2020

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

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