A Performance Prediction Module for Workflow Scheduling
Identifikátory výsledku
Kód výsledku v IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21230%2F11%3A00189913" target="_blank" >RIV/68407700:21230/11:00189913 - isvavai.cz</a>
Výsledek na webu
<a href="http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/186/hpc2011-monge.pdf" target="_blank" >http://ida.felk.cvut.cz/cgi-bin/docarc/public.pl/document/186/hpc2011-monge.pdf</a>
DOI - Digital Object Identifier
—
Alternativní jazyky
Jazyk výsledku
angličtina
Název v původním jazyce
A Performance Prediction Module for Workflow Scheduling
Popis výsledku v původním jazyce
Through the years, scientific applications have demanded more powerful and sophisticated computing environments and manage- ment techniques. Workflows facilitated the design and management of scientific applications. The complexity of today's workflows demand a high amount of resources and mechanisms for provisioning them. The execution of scientific workflow applications is a complex task and de- pends on how the resources are assigned. Scheduling is the name given to the process that assigns computingresources to the tasks comprised in a workflow. This work presents a scheduling algorithm (PPSA) for workflows tightly coupled to a performance prediction module (PEM). A set of experiments was developed for measuring the performance of the algorithm using the information provided by the proposed perfor- mance module. The proposed algorithm is compared with an algorithm included in the well-known workflow middlewares Condor DAGMan and ASKALON.
Název v anglickém jazyce
A Performance Prediction Module for Workflow Scheduling
Popis výsledku anglicky
Through the years, scientific applications have demanded more powerful and sophisticated computing environments and manage- ment techniques. Workflows facilitated the design and management of scientific applications. The complexity of today's workflows demand a high amount of resources and mechanisms for provisioning them. The execution of scientific workflow applications is a complex task and de- pends on how the resources are assigned. Scheduling is the name given to the process that assigns computingresources to the tasks comprised in a workflow. This work presents a scheduling algorithm (PPSA) for workflows tightly coupled to a performance prediction module (PEM). A set of experiments was developed for measuring the performance of the algorithm using the information provided by the proposed perfor- mance module. The proposed algorithm is compared with an algorithm included in the well-known workflow middlewares Condor DAGMan and ASKALON.
Klasifikace
Druh
O - Ostatní výsledky
CEP obor
JC - Počítačový hardware a software
OECD FORD obor
—
Návaznosti výsledku
Projekt
<a href="/cs/project/MEB111005" target="_blank" >MEB111005: Data mining v prostředí distribuovaných výpočtů</a><br>
Návaznosti
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Ostatní
Rok uplatnění
2011
Kód důvěrnosti údajů
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů