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HPDC
2012
IEEE

Exploring the performance and mapping of HPC applications to platforms in the cloud

9 years 7 months ago
Exploring the performance and mapping of HPC applications to platforms in the cloud
This paper presents a scheme to optimize the mapping of HPC applications to a set of hybrid dedicated and cloud resources. First, we characterize application performance on dedicated clusters and cloud to obtain application signatures. Then, we propose an algorithm to match these signatures to resources such that performance is maximized and cost is minimized. Finally, we show simulation results revealing that in a concrete scenario our proposed scheme reduces the cost by 60% at only 10-15% performance penalty vs. a non optimized configuration. We also find that the execution overhead in cloud can be minimized to a negligible level using thin hypervisors or OS-level containers. Categories and Subject Descriptors
Abhishek Gupta, Laxmikant V. Kalé, Dejan S.
Added 29 Sep 2012
Updated 29 Sep 2012
Type Journal
Year 2012
Where HPDC
Authors Abhishek Gupta, Laxmikant V. Kalé, Dejan S. Milojicic, Paolo Faraboschi, Richard Kaufmann, Verdi March, Filippo Gioachin, Chun Hui Suen, Bu-Sung Lee
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