DocumentCode :
592842
Title :
High Performance Computing in the cloud: Deployment, performance and cost efficiency
Author :
Roloff, E. ; Diener, Matthias ; Carissimi, A. ; Navaux, Philippe Olivier Alexandre
Author_Institution :
Inf. Inst., Fed. Univ. of Rio Grande do Sul, Porto Alegre, Brazil
fYear :
2012
fDate :
3-6 Dec. 2012
Firstpage :
371
Lastpage :
378
Abstract :
High-Performance Computing (HPC) in the cloud has reached the mainstream and is currently a hot topic in the research community and the industry. The attractiveness of cloud for HPC is the capability to run large applications on powerful, scalable hardware without needing to actually own or maintain this hardware. In this paper, we conduct a detailed comparison of HPC applications running on three cloud providers, Amazon EC2, Microsoft Azure and Rackspace. We analyze three important characteristics of HPC, deployment facilities, performance and cost efficiency and compare them to a cluster of machines. For the experiments, we used the well-known NAS parallel benchmarks as an example of general scientific HPC applications to examine the computational and communication performance. Our results show that HPC applications can run efficiently on the cloud. However, care must be taken when choosing the provider, as the differences between them are large. The best cloud provider depends on the type and behavior of the application, as well as the intended usage scenario. Furthermore, our results show that HPC in the cloud can have a higher performance and cost efficiency than a traditional cluster, up to 27% and 41%, respectively.
Keywords :
cloud computing; natural sciences computing; parallel processing; software performance evaluation; Amazon EC2; Microsoft Azure; NAS parallel benchmarks; Rackspace; cloud computing; cloud providers; communication performance; computational performance; cost efficiency; deployment facilities; high performance computing; performance efficiency; scientific HPC applications; Benchmark testing; Cloud computing; Conferences; Hardware; Linux; Measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cloud Computing Technology and Science (CloudCom), 2012 IEEE 4th International Conference on
Conference_Location :
Taipei
Print_ISBN :
978-1-4673-4511-8
Electronic_ISBN :
978-1-4673-4509-5
Type :
conf
DOI :
10.1109/CloudCom.2012.6427549
Filename :
6427549
Link To Document :
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