Performance evaluation of cloud-based parallel computing


Autoria(s): Nakai, Yuto; Perrin, Dimitri; Ohsaki, Hiroyuki; Walshe, Ray
Data(s)

2013

Resumo

As computational models in fields such as medicine and engineering get more refined, resource requirements are increased. In a first instance, these needs have been satisfied using parallel computing and HPC clusters. However, such systems are often costly and lack flexibility. HPC users are therefore tempted to move to elastic HPC using cloud services. One difficulty in making this transition is that HPC and cloud systems are different, and performance may vary. The purpose of this study is to evaluate cloud services as a means to minimise both cost and computation time for large-scale simulations, and to identify which system properties have the most significant impact on performance. Our simulation results show that, while the performance of Virtual CPU (VCPU) is satisfactory, network throughput may lead to difficulties.

Formato

application/pdf

Identificador

http://eprints.qut.edu.au/82682/

Publicador

IEEE Computer Society

Relação

http://eprints.qut.edu.au/82682/1/82682.pdf

DOI:10.1109/COMPSACW.2013.62

Nakai, Yuto, Perrin, Dimitri, Ohsaki, Hiroyuki, & Walshe, Ray (2013) Performance evaluation of cloud-based parallel computing. In 2013 IEEE 37th Annual Computer Software and Applications Conference (COMPSAC 2013), IEEE Computer Society, Kyoto, Japan, pp. 351-355.

Direitos

Copyright 2013 IEEE

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Fonte

School of Electrical Engineering & Computer Science; Science & Engineering Faculty

Tipo

Conference Paper