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A Performance Evaluation of Azure and Nimbus Clouds for Scientific Applications

Radu Tudoran 1 Alexandru Costan 1 Gabriel Antoniu 1 Luc Bougé 1 
1 KerData - Scalable Storage for Clouds and Beyond
Inria Rennes – Bretagne Atlantique , IRISA-D1 - SYSTÈMES LARGE ÉCHELLE
Abstract : The emergence of cloud computing brought the opportunity to use large-scale computational infrastructures for a broad spectrum of scientific applications. As more and more cloud providers and technologies appear, scientists are faced with an increasingly difficult problem of evaluating various offerings, like public and private clouds, and deciding which model to use for their applications' needs. In this paper, we make a performance evaluation of two public and private cloud platforms for scientific computing workloads. We compare the Azure and Nimbus clouds, considering all the primary needs of scientific applications (computation power, storage, data transfers and costs). The evaluation is done using both synthetic benchmarks and a real-life application. Our results show that Nimbus incurs less varaibility and has increased support for data intensive applications, while Azure deploys faster and has a lower cost.
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Submitted on : Friday, March 9, 2012 - 6:58:12 PM
Last modification on : Thursday, January 20, 2022 - 4:20:19 PM
Long-term archiving on: : Monday, November 26, 2012 - 10:32:22 AM


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  • HAL Id : hal-00677842, version 1


Radu Tudoran, Alexandru Costan, Gabriel Antoniu, Luc Bougé. A Performance Evaluation of Azure and Nimbus Clouds for Scientific Applications. CloudCP 2012 -- 2nd International Workshop on Cloud Computing Platforms, Held in conjunction with the ACM SIGOPS Eurosys 12 conference, Apr 2012, Bern, Switzerland. ⟨hal-00677842⟩



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