Euro-Par 2012: Parallel Processing Workshops

Volume 7640 of the series Lecture Notes in Computer Science pp 36-46

Evaluating Cloud Storage Services for Tightly-Coupled Applications

  • Alexandra Carpen-AmarieAffiliated withINRIA Rennes - Bretagne Atlantique / IRISA
  • , Kate KeaheyAffiliated withArgonne National Laboratory
  • , John BresnahanAffiliated withArgonne National Laboratory
  • , Gabriel AntoniuAffiliated withINRIA Rennes - Bretagne Atlantique / IRISA

* Final gross prices may vary according to local VAT.

Get Access


The emergence of Cloud computing has given rise to numerous attempts to study the portability of scientific applications to this new paradigm. Tightly-coupled applications are a common class of scientific HPC applications, which exhibit specific requirements previously addressed by supercomputers. A key challenge towards the adoption of the Cloud paradigm for such applications is data management. In this paper, we argue that Cloud storage services represent a suitable data storage and sharing option for Cloud applications. We evaluate a distributed storage plugin for Cumulus, an S3-compatible open-source Cloud service, and we conduct a series of experiments with an atmospheric modeling application running in a private Cloud deployed on the Grid’5000 testbed. Our results, obtained on up to 144 parallel processes, show that the application is able to scale with the size of the data and the number of processes, while storing 50 GB of output data on a Cloud storage service.


Cloud computing data management Cloud storage service HPC applications Nimbus Cumulus